research skills theory

Research Skills

• First Online: 19 November 2023

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• Eelko K. R. E. Huizingh 2 , 3  

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Doing research requires both academic competences, such as critical inquiry, independent judgment, rigorous analysis, and clear expression, and methodological competences, which are related to designing and executing your research project. Since Ph.D. projects intend to generate new knowledge, understanding the state-of-the-art knowledge is a prerequisite. Upgrading your knowledge is done by selecting, analyzing, and reflecting on the right literature. Doing high-quality research results from critical characteristics of both the study and the research environment. As any field offers many research opportunities, it is essential to select the right focus for your project in an iterative process. Which knowledge gap do you intend to fill? The next step is to define a research question. Seven requirements for a ‘good’ research question are discussed in detail.

Research is formalized curiosity . It is poking and prying with a purpose . Zora Neale Hurston (1891–1960) .

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Derived from: Gill and Johnson ( 2010 ).

Papert ( 1999 ).

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See for an extensive overview of the characteristics of successful research environments: Bland and Ruffin ( 1992 ).

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Derived from: Gill, John and Phil Johnson (2010), Research Methods for Managers , 4 th edition, Sage Publications, London, p. 11.

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Lewis, Jane (2003), Design Issues, in: Ritchie, Jane, and Jane Lewis (editors) (2003), Qualitative Research Practice: A Guide for Social Science Students and Researchers , Sage Publications, London, p. 48.

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Huizingh, E.K.R.E. (2023). Research Skills. In: Unlocking PhD Success. Springer, Cham. https://doi.org/10.1007/978-3-031-40651-5_2

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Empowering students to develop research skills

February 8, 2021

This post is republished from   Into Practice ,  a biweekly communication of Harvard’s  Office of the Vice Provost for Advances in Learning

Terence D. Capellini, Richard B Wolf Associate Professor of Human Evolutionary Biology, empowers students to grow as researchers in his Building the Human Body course through a comprehensive, course-long collaborative project that works to understand the changes in the genome that make the human skeleton unique. For instance, of the many types of projects, some focus on the genetic basis of why human beings walk on two legs. This integrative “Evo-Devo” project demands high levels of understanding of biology and genetics that students gain in the first half of class, which is then applied hands-on in the second half of class. Students work in teams of 2-3 to collect their own morphology data by measuring skeletons at the Harvard Museum of Natural History and leverage statistics to understand patterns in their data. They then collect and analyze DNA sequences from humans and other animals to identify the DNA changes that may encode morphology. Throughout this course, students go from sometimes having “limited experience in genetics and/or morphology” to conducting their own independent research. This project culminates in a team presentation and a final research paper.

The benefits: Students develop the methodological skills required to collect and analyze morphological data. Using the UCSC Genome browser  and other tools, students sharpen their analytical skills to visualize genomics data and pinpoint meaningful genetic changes. Conducting this work in teams means students develop collaborative skills that model academic biology labs outside class, and some student projects have contributed to published papers in the field. “Every year, I have one student, if not two, join my lab to work on projects developed from class to try to get them published.”

“The beauty of this class is that the students are asking a question that’s never been asked before and they’re actually collecting data to get at an answer.”

The challenges:  Capellini observes that the most common challenge faced by students in the course is when “they have a really terrific question they want to explore, but the necessary background information is simply lacking. It is simply amazing how little we do know about human development, despite its hundreds of years of study.” Sometimes, for instance, students want to learn about the evolution, development, and genetics of a certain body part, but it is still somewhat a mystery to the field. In these cases, the teaching team (including co-instructor Dr. Neil Roach) tries to find datasets that are maximally relevant to the questions the students want to explore. Capellini also notes that the work in his class is demanding and hard, just by the nature of the work, but students “always step up and perform” and the teaching team does their best to “make it fun” and ensure they nurture students’ curiosities and questions.

Takeaways and best practices

• Incorporate previous students’ work into the course. Capellini intentionally discusses findings from previous student groups in lectures. “They’re developing real findings and we share that when we explain the project for the next groups.” Capellini also invites students to share their own progress and findings as part of class discussion, which helps them participate as independent researchers and receive feedback from their peers.
• Assign groups intentionally.  Maintaining flexibility allows the teaching team to be more responsive to students’ various needs and interests. Capellini will often place graduate students by themselves to enhance their workload and give them training directly relevant to their future thesis work. Undergraduates are able to self-select into groups or can be assigned based on shared interests. “If two people are enthusiastic about examining the knee, for instance, we’ll match them together.”
• Consider using multiple types of assessments.  Capellini notes that exams and quizzes are administered in the first half of the course and scaffolded so that students can practice the skills they need to successfully apply course material in the final project. “Lots of the initial examples are hypothetical,” he explains, even grounded in fiction and pop culture references, “but [students] have to eventually apply the skills they learned in addressing the hypothetical example to their own real example and the data they generate” for the Evo-Devo project. This is coupled with a paper and a presentation treated like a conference talk.

Bottom line:  Capellini’s top advice for professors looking to help their own students grow as researchers is to ensure research projects are designed with intentionality and fully integrated into the syllabus. “You can’t simply tack it on at the end,” he underscores. “If you want this research project to be a substantive learning opportunity, it has to happen from Day 1.” That includes carving out time in class for students to work on it and make the connections they need to conduct research. “Listen to your students and learn about them personally” so you can tap into what they’re excited about. Have some fun in the course, and they’ll be motivated to do the work.

Institute for Employment Research National Guidance Research Forum

Developing your research skills.

Developing Your Research Skills

Contribution from Jenny Bimrose, Warwick Institute for Employment Research (2003).

The following materials provide an introduction to some key issues for designing and progressing a research project in guidance through to successful completion.

Links to subsections: Contents

STAGE 1: Identifying a research need within a guidance (or related) context

Stage 2: reading for research, stage 3: selecting appropriating methods and procedures, stage 4: research models, traditions and approaches, stage 5: writing a research report.

Bibliography

Research in Practice website

Harvard Reference Style

This section will help you plan your research project.

1.1 Introduction

To carry out research, you will need to carry out a variety of tasks. Robson (1993:pxvii) identifies the main ones as:

deciding on the focus; developing the research question(s); choosing a research strategy; selecting the method(s); arranging the practicalities; collecting the data; preparing for, and carrying out analysis; reporting what you have found; and possibly acting on your findings There is no shortage of advice in books on how to approach your research (see the References and Bibliography sections - though, please note, that there are many other standard texts which contain the same type of general information). It is worth spending time reviewing the advice and suggestions contained in a selection of these texts, since learning from the experience of the experts who have written these texts can often save you time and effort in the longer term.

1.2 Objective: stage 1

The first stage in conducting successful research involves identifying a realistic and achievable research need which is relevant to your professional area, then undertaking some initial planning of your project.

By the end of this stage of your research project, you should have:

gathered and selected information from a variety of sources which is appropriate to your broad area of interest; synthesised this information to identify a research need; identified constraints associated with your chosen research focus together with possible solutions to potential problems they represent; considered likely trends related to the prospective research area; written a brief research proposal outlining your ideas for research (see 1.8 below).

1.3 Keeping a research diary

It is usual for initial ideas to change as you become more and more involved with the process of research. Because of this, it is worth keeping some informal notes about your progress, like a personal diary, which keeps a reasonably accurate record of key issues. These could include:

how and why you selected the particular focus for your study; difficulties anticipated and actually encountered; how and when difficulties are overcome; sources of inspiration; thoughts and feelings; insights and anxieties; critical turning points, etc. To ensure you do actually keep a diary, it’s important to select an approach to keeping a diary with which you feel comfortable. A small notebook would suffice or, alternatively, Blaxter et al (1996) suggest that diaries can also be kept on tape or a word processor. Whichever method of recording your choose, try to keep it readily accessible, so that ideas can be jotted down as and when they arise.

1.4 Models of research process

‘A rationale for the methods used to gather and process data, in what sequence and on what samples, taken together, constitutes a research methodology.’ Cryer, 1996: 45

The task of carrying out a research inquiry is complicated by the fact that there is no consensus about the way this should be done (Robson, 1993). A fundamental difference relates to the sequence and relationship of activities involved. One model says that you collect all the data before analysing it. One other model requires that data collection and analysis are intertwined. Another difference relates to views about the role of theory. Such differences can be categorised into two main traditions: quantitative (positivist, natural-science based, hypothetico-deductive) and qualitative (interpretative, ethnographic). The implications of adopting one as opposed to the other of these models are discussed later (4.5 and 4.6 below). However, whichever of these approaches (or combination of approaches) you decide to adopt, you will still need to develop your focus at an early stage of your research.

1.5 Selecting a topic

If you are reading this information, it is likely that you already have one (maybe several) idea(s) or a particular area of interest that you would like to research. To help you make your final selection, try to find out just how much has been written each topic. You probably won't have time to read extensively on each topic, so using a library catalogue can be a useful way of identifying relevant material. For example, try the catalogue linked to the careers library that can be accessed through this Forum). Additionally, talk to colleagues and others who might be interested. Discussing ideas about possible topics and the associated problems is an essential part of planning your research. Views may differ from (even conflict) with your own and you may be able to identify alternative approaches as a result of this process. For example, colleagues may be aware of sensitive aspects of certain topics that could cause difficulties at some stage. Use the discussion facility of the Forum to test out your ideas. If you are hoping to carry out research in your own employing organisation, early consultation with relevant individuals is essential to avoid later difficulties.

In selecting a topic, there is often a tendency to be over-ambitious. With limited resources (including time) at your disposal it’s important to prepare the ground carefully. Discussions and inquiries will help you select a topic which is likely to be of interest, which you have a good chance of completing and which may well have some practical application in a guidance context.

1.6 Ethical considerations

At a very early stage of your preparations to carry out research it is vital that you give serious thought to the ethical aspects of the enquiry you are proposing. Ethics refers to rules of conduct, and adopting an ethical approach involves conformity to a code or set of principles. Ethical problems can start at the very beginning of study. Some issues, which may be relevant to your research, are identified by Robson (1993:31):

Do individuals have the right not to take part? Even if they do, are there any overt or covert penalties for non-participation (e.g. 'it will look good on your reference if you have taken part in this study'). Do they know what they are letting themselves in for? Is their consent fully informed? Will individuals participating be protected, not only from any direct effects of the intervention, but also by the investigator ensuring that the reporting of the study maintains confidentiality? Is confidentiality always appropriate? If people have done something praiseworthy and put extra effort and time, should they get credit for this? Conversely, if inefficiency or malpractice is uncovered in your study, should the guilty ones be permitted to hide? What responsibility do investigators have for the knowledge they have acquired? Should those undertaking applied research target their knowledge and take responsibility for the consequences? These are just some examples. Each needs careful thought for your particular situation. Robson (1993: 32) lists ten questionable practices in social science research, relevant to a guidance context. These are:

Involving people without their knowledge or consent. Coercing them to participate. Withholding information about the true nature of the research. Otherwise deceiving the participant. Inducing them to commit acts diminishing their self-esteem. Violating rights of self-determination (e.g. in studies seeking to promote individual change). Exposing participants to physical or mental stress. Invading their privacy. Withholding benefits from some participants (e.g. in comparison groups). Not treating participants fairly, or with consideration, or with respect. He goes on to identify ethical principles relevant for 'action research' - one approach that you may choose to adopt, relevant to a guidance context, characterised by a collaborative effort between researcher and 'researched'. Ethical guidelines for this type of research emphasise the need for negotiation and involvement in the research process. These include:

Observe protocol: Ensure that the relevant persons, committees and authorities have been consulted and informed and that the necessary permission and approval has been obtained. Involve participants: Encourage those who have a stake in the improvement you envisage, shape the form of the work. Negotiate with those affected: Remember that not everyone will want to be directly involved. Your research should respect this. Report progress: Keep the work visible and remain open to suggestions to that both anticipated and unanticipated developments can be dealt with. All involved must have the opportunity to raise concerns with you. Negotiate descriptions of people's work. Always allow those described in your research to challenge your accounts on the grounds of fairness, relevance and accuracy. Negotiate reports for various levels of release. Different audiences demand different levels of reports. 1.7 Planning your research project

Bell (1993:23) provides a useful checklist for planning your project, which identifies the following stages:

Draw up a short list of topics; Select a broad topic for investigation; Refine the precise focus of the study; Decide on the aims and objectives; Draw up an initial project outline; Read enough to ensure you’re on the right lines; Devise a timetable to enable you to check that all stages will be covered and time allowed for writing. By the time you have completed all of these planning phases, you will be ready to write your Research Proposal.

1.8 Research proposal

It is good practice to produce a brief research proposal after your preliminary investigations. This need not be long or complicated, but helps order thoughts and organise subsequent action. It is also good preparation for when you may wish to submit a formal application for funding for research. It should include:

a statement of the research (including, aims and objectives), sources to be examined and identification of any potential ethical issues; a provisional timetable for carrying out the research and writing the report; a rationale for the research, which identifies probable outcomes (what you hope to achieve); a provisional outline of your research report, which can be expanded as your research progresses. Cryer (1996:51) identifies some examples of research outcomes, which are relevant to a guidance context:

A new product e.g. a book, a video, worksheets, etc. A development of or an improvement on something that already exists. A new theory. A reinterpretation of an existing theory. A new research tool or technique. A new model or perspective. An in-depth study. A critical analysis e.g. an analysis of the effects of a particular policy. A collection of general findings or conclusions.

Once you have written your research proposal, you are ready to move on to second stage of your research.

This section will help you focus on identifying and managing the reading materials for your research project.

2.1 Introduction

Carrying out any worthwhile research project will involve a significant amount of reading. The purpose of research is to extend and develop knowledge and understanding. Reading is an integral part of this process. Reading for research in guidance will probably involve reviewing or refreshing your current knowledge base (e.g. theories on which practice is based) as well as undertaking new reading. The types of skills required with reading for research (e.g. how to read, deciding what to read, how to interpret your reading) can be a source of anxiety, so the following sections have been designed to support and/or develop these skills.

2.2 Objective: stage 2

By the end of the second stage of your research you will be able to:

communicate effectively and clearly with others in the discipline area; develop information storage and retrieval strategies; develop skills relevant to library and resource use; develop skills relating to the organisation of reading, research time and tasks; use information to construct a rationale for your research project. 2.3 Information storage and retrieval strategies

For successful research, you will need to be familiar with the sound methods of keeping records and making notes. Whilst locating information for the first time can be difficult, re-locating it can be even more of a problem unless you have developed systematic record-keeping procedures. As well as keeping a record of useful sources, you should also keep a record of sources that proved to be of no interest (and why) to save valuable time later if you come across the same reference again. Remember that for all your sources, you need to record sufficient information for constructing your bibliography (see 2.7 below).

A number of texts on research suggest adopting a card index system (e.g. Bell, 1993 and Cryer, 1996). The merits of using different size cards are discussed (e.g. to contain more or less information) and the potential for keeping cards for various sources in different sections (e.g. cards on books in one section, cards on articles in another, etc.). Other methods could include using part of your 'Research Diary' (see 2.3 above), or using a computer to develop systems of recording.

Adopting a system may prove challenging because breaking off from reading an interesting report, article or chapter to record the necessary details requires a good deal of self-discipline – especially when you’re working under pressure. It is, however, worth persevering since your recording system will undoubtedly be a key feature of producing a high quality research report.

2.4 Reading for research

You may already have been involved in research connected with your professional role and this may have been undertaken without much direct reading (e.g. if you have been involved in administering questionnaires on someone's behalf). However, for research requiring more in-depth involvement, reading is essential since it will both be stimulated and informed by the knowledge acquired by your reading. Blaxter et al (1996:94) usefully suggest that reading should be undertaken at different stages of your research and for different purposes, as follows:

At the beginning of your research: to check what other research has been done, to focus your ideas and to explore the context for your project. During your research: to keep you interested and up to date with developments, to help you better understand the methods you are using and the field you are researching, and as a source of data. After your research: to see what impact your own work has had and to help you develop ideas for further research projects. Purposes of reading for your research are to familiarise yourself with:

research which has been undertaken on topics similar to your own; research methods being applied in ways which are similar to your own plans; accounts of the context relating to your project 2.5 Potential difficulties

One common difficulty is getting hold of relevant books, reports or journal articles. The careers library which can be accessed through this website, is one obvious source of relevant materials. However, remember that there is often competition for popular and scarce resources, so careful planning may be necessary to ensure you manage to access key texts for your research when you need them. It may also be necessary to negotiate access to libraries near to where you live. Local libraries can be very helpful - ordering specialist books on request – and you may be lucky enough to live near a University library, which often allow access to researchers. Wherever you access literature, you probably need to give some careful thought and planning to how and when you will access the material you wish to read.

Apart from libraries, you will need to use a wide variety of other sources for your reading. Your employer, colleagues, supervisors, friends, relations - even clients and research subjects - can prove to be a rich source of relevant material. The Internet can also produce relevant information and can be invaluable for identifying and locating possible material.

Blaxter et al (1996) identify four common concerns about reading for research:

the volume of literature: how do you get to grips with this? the variety of literature: how do you go about using the vast range of sources available? lack of boundaries: how do you decide which areas of literature are relevant? conflicting arguments: how do you assess and evaluate competing explanations? If you can identify with any, or all, of these concerns it is probably worth spending some time developing strategies for reading for research. Again, a number of texts that are readily available provide helpful hints on dealing with these sorts of problems. Some of these are summarised next.

2.6 Basic reading strategies

What to read Read as much as possible from as many sources as possible - books, journals, computer-based materials, reports, the popular media (daily and weekly press, magazines), memos, minutes, internal reports and even letters.

Remember that, even though it is important to be as up-to-date as possible, this does not preclude older sources like classic texts. Edited texts and literature reviews are also particularly useful for research purposes. The careers library accessed through this website is a rich source of this type of material since it contains historical collections of guidance materials. They can provide invaluable overviews of an area as well as excellent introductions to an area – though try to balance these with references to original materials where possible. Methodological accounts are also valuable sources.

Make sure you understand the extent to which the texts that you are using make use of original data:

primary sources: contain original data; secondary sources: contain discussions and interpretations of data, in which the author typically argues for a particular point of view; tertiary sources: presents information and references to the sources of that information. It’s best to try to draw from a mix of sources for your research report.

Making selections Familiarise yourself with key texts relevant to your research topic and then supplement with a broader, but selective, reading around the topic. Develop a selective approach by, for example:

Taking advice from available sources: for example from your colleagues or manager at work. Use the discussion section of this website under different section headings (e.g. Equal Opportunties; Improving Practice; Impact Analysis). Locating books or journals that appear relevant in a careers library by asking, browsing or using a catalogue. Keyword searches on computer-based catalogues are very useful. Following up interesting references from your original sources. Identifying key texts by noting those that are referred to repeatedly. Selective reading If you haven’t already done so, you will need to develop the skill of selective reading because you will not have time to read thoroughly all the written sources with which you need to be familiar. The following tips can help develop this skill:

record the author(s), title, publisher and date of the book, report or articles. Keep this safely and any notes you make on the content; look for an introduction, concluding chapter, abstract or executive summary. If it exists, read quickly, scanning the contents. If the book or report has a cover, the information printed there can be useful; with books and reports, look for the contents page. Identify any chapters that you think may be of particular relevance and focus on them, again starting from the introduction and/or conclusion. You can find your way through a chapter or section by using the sub-headings; in the text itself, key points will often be highlighted, or in the first or last paragraphs. Similarly, the first and last sentences of paragraphs are often used to indicate and summarise their contents. Remember - you should be able to understand the key points of a book or article in no more than five minutes. This should enable you to decide you need go no further, or decide which parts of the book or article you need to read in depth.

Critical reading This requires careful examination of what others have written (or said) on a particular subject. It is a difficult skill to develop but important for successful research. The types of questions you will need to ask as you are reading: does the author present convincing arguments or evidence to support assertions? Is information easy to find? Are the views expressed consistent? Are clear distinctions made between fact and opinion?

Blaxter et al (1996:106) suggest that critically sound sources:

go beyond mere descriptions by arguing their position - making a personal response to what has been written; relate different writings to each other, indicating their differences and contradictions, and highlighting what they are lacking; do not take what is written at face value; are explicit about the values and theories which inform and colour reading and writing; view research writing as contested terrain, within which alternative views and positions may be taken up; show an awareness of the power relations involved in research, and of where writers are coming from; use a particular language (e.g. the author asserts, argues, states, concludes or contends). 2.7 Referencing

There are several acceptable ways of recording sources and other information. The Harvard method is a common method that has various advantages. For example, it avoids footnotes and all sources mentioned appear at the end of your dissertation rather than at the end of each chapter. When sources are referred to in the text, only the name(s) of author(s) and year of publication appear. Even though there are different styles of referencing, they will probably contain the information identified below.

Books For all books you wish to include in your Bibliography, you will need the following information:

Author's surname and initials Year of publication (in brackets) Title (underlined) Edition, if relevant (in brackets) Place of publication Name of publisher

For example: Hodkinson, P., Sparkes, A.C. & Hodkinson, H. (1996) Triumphs and Tears: young people, markets and the transition from school to work, London, David Fulton Publishers.

References in the text should be given as follows:

Smith and Brown (1998:175) or (Smith and Brown, 1998:175)

Where there are three or more authors, only give the name of the first:

Smith et al. (1997:203) or (Smith et al., 1997:203)

When an author has published two or more items in one year, the references should be distinguished by:

Smith (1996a) Smith (1996b) and so on.

Where more than one reference has to be given at a single point in the text, they should be listed chronologically:

Brown (1986:47), Jones (1992:106) and Kaput (1997:427)

Articles and Chapters in Books quote the following:

Author's surname and initials Year of publication (in brackets) Title (in inverted commas or italics) Source of journal or book, that is: ~ Title of journal or book (underlined) ~ Volume number, issue and page numbers in journals

For example: Savickas, M.L. (1995) Current Theoretical Issues in Vocational Psychology: Convergence, Divergence, and Schism in Walsh, W.B. and Osipow, S.H. Handbook of Vocational Psychology: Theory, Research and Practice, (2nd ed) Mahwah, New Jersey: Lawrence Erlbaum Associates.

Articles in Journals quote the following:

Author's surname and initials Year of publication Title (inverted commas or italics) Title of journal (underlined) Volume number, issue and page numbers

For example: Betz, N.E., Harmon, L.W. & Borgen, F.H. (1996) The Relationships of Self-Efficacy for the Holland Themes to Gender, Occupational Group Membership, and Vocational Interests in Journal of Counseling Psychology, 43, 1, p90-98.

Citing Web Pages As with printed references, the title should be either in Italics or underlined. Note that round brackets are used for (year) and (edition). Where there is no year given on the web material, your would record this as (no date).

Note also that square brackets are used for [medium] and [access date]. The access date is the date you last accessed that reference. This is important, given the volatility of web material, because it offers some indication of the currency of the reference. Without your access date, there might be no intention of how old the material is.

Author/editor. (Year). Title (edition).[Type of medium].Producer (optional). Available Protocol (if applicable):Site/Path/File[Access date].

For example: Equal Opportunities Commission (2003) ‘The Development of Gender Roles in Young Children’. [Online]. Available: http://www.eoc.org.uk/PDF/gender_roles.pdf [2003, May 22].

Whichever method you select for your Bibliography and referencing, remember that it is important to be consistent.

This section will help you to decide how to collect the evidence you require for your research project.

3.1 Introduction

Once you have decided on a research topic, you will be able to decide how to collect the evidence you require. This section will be concerned with general issues associated with the selection of methods and appropriate procedures for the project.

3.2 Objectives: stage 3

By the end of this stage of your research project, you will be able to:

identify appropriate criteria by which to judge the validity of a guidance project; approximate and estimate time involved, necessary materials and the quantities in which they are required, costs of the research, etc.; identify design principles relevant to the chosen research area; identify the major issues or problems in the specific research area; demonstrate the ability to re-formulate research design in response to unexpected circumstances; synthesise material, evidence and arguments to select appropriate methods and procedures for the project. 3.3 Validity, Reliability and Relevance

When judging the quality of any research, reliability, validity and relevance are important.

The validity of research refers to the credibility of the results. Has the research actually done the things it claims to do? Does an item measure or describe what it is supposed to measure or describe? In considering these issues, it needs to be acknowledged that discussions about validity provoke controversy amongst researchers. Some have rejected the concept of validity as inapplicable since it implies the possession of knowledge that is absolutely certain and, in this sense, knowledge can never be certain. McLeod (1999) argues that the concepts of validity and reliability that have been developed for use in quantitative research can’t be applied in the same way in qualitative studies. Nevertheless, in deciding the value of our own and other research, we need to be able to make reasoned judgements about it as a new contribution to knowledge.

Measuring the extent of validity can become extremely involved and there are different levels at which the question of validity can be considered. Put simply, if your research is valid, then you are observing, identifying or measuring what you say you are. A rough guide would be to ask the question: ‘would another researcher using my research instrument get the same responses?’ Additionally, ask other people whether the questions or items you have devised are likely to achieve what you want. Three different aspects of validity are discussed below:

Plausibility:

How plausible is this claim: that is, do we judge it to be likely to true, given our existing knowledge? Some claims may be so plausible that we can reasonably accept them at face value without needing to know anything else.

Credibility:

Does it seems likely that the researcher's judgement of matters relating to the claim is accurate, given the nature of the phenomena concerned, the circumstances of the research, the characteristics of the researcher, etc.?

Where a claim is neither sufficiently plausible, nor sufficiently credible, then we require evidence. When examining the evidence, we need to employ much the same means to assess its validity as we applied to the claim itself (plausibility and credibility) - and may require even more evidence!

McLeod (1999:101) outlines nine criteria suitable for evaluating the validity of qualitative research, which include:

Sufficient contextualisation of the study: Since qualitative research is more concerned with developing knowledge that is relevant and useful at particular times and places, it is necessary to contextualise the study in its historical, social and cultural location.

Credibility of the researcher (reflexivity):A reflexive account of internal processes of research, covering, for example, how contact was made with informants, issues of trust and rapport, how mistakes and misconceptions were dealt with, whether there was agreement over goals and tasks.

Catalytic validity: Defined as the degree to which the research process reorients, focuses and energies participants. Implicit in this is the idea that research should empower those who take part in it.

McNiff (1992) discusses the issue of validity in relation to action research, and distinguishes three types: 1) self validation, 2) peer validation and 3) learner validation. Action research is an approach that often has particular appeal to researchers working on issues related to professional practice. Because much of what McNiff (1992) discusses is applicable to a careers guidance and counselling context, a summary of some of the points she makes on validity follows.

Self-validation: If you are researching within the broad area of guidance and counselling, you are likely to be involved in interpreting your own practice and in making decisions about improving it. The implication of self-validation in this context refers to the potential of these interpretations of your own practice being recognised. McNiff (1992:133) discusses how certain criteria justify an individual's claim to knowledge. They include:

Practice as a realisation of values: where guidance and counselling research starts with a declaration (spoken or written) of values – for example, 'my clients have a right to self-determination'. Often the research inquiry is stimulated because those values are being denied in practice. If clients are being denied the service you think they deserve, this is where a cycle of imagined solutions, implementation, observation, evaluation, re-planning is enacted. Intentional critical reflection: where research inquiry occurs as a result of critical reflection, a desire to explore an intuitive understanding of practice and communicate it to others. Disciplined enquiry: where a researcher demonstrates publicly that s/he has followed a system of disciplined enquiry in arriving at a hypothesis. Personal interpretation as a basis for dialogue: where individuals recognise the potential in their interpretations of their own practice. Peer validation: This relates to the notion that a claim to knowledge or expertise derived from practice must be validated externally. It is the process whereby your findings are made available to and scrutinised by others who can agree that these findings are of interest and could be useful to their own practice. This external validation can come from a number of sources, including colleagues, manager or supervisor, the wider guidance and counselling community, other students, etc. Peer validation can be effective in moving your ideas forward. Questions may be asked which provide new insights and ways of thinking about your research, and invariably you will gain more confidence to progress your research from the process of peer validation.

Client validation: It is particularly useful to get the reactions of the clients themselves. This may be presented in short, written statements, recordings (tape or video), reports, etc. For example, data about the use of labour market information by guidance practitioners could be collected during focus group discussions. This could be written up into a report that was circulated to the practitioners who were asked to validate the accuracy of the reports. The findings could then be circulated more widely to the guidance community who are asked to comment on the relevance of these findings to their own experiences. This represents a powerful chain of validation.

Overall, validation of research findings in a guidance and counselling or related context is likely to involve the development of self-knowledge followed by a genuine attempt to share that knowledge with others.

Reliability

Whatever procedure is used for collecting data for research, it should always be examined critically to assess to what extent it is likely to be reliable, as well as valid. Reliability is the extent to which a test or procedure produces similar results under constant conditions on all occasions. Bell (1993:65) suggests two questions to ask yourself when checking items on a questionnaire or interview schedule you may devise to collect data. They are:

would two interviewers using the schedule or procedure get a similar results? would an interviewer obtain a similar picture using the procedures on different occasions? There are a number of devices for checking reliability in scales and tests. For example:

test-retest method: administering the same test some time after the first; alternate forms method: where equivalent versions of the same items in the test are given and results correlated; split-half method: where the items in the test are split into two matched halves and scores then correlated. These methods are not always feasible or necessary, and there are disadvantages and problems associated with all three. Such mechanisms are not usually necessary unless you are attempting to produce a test or scale. The check for reliability will come at the stage of wording questions and piloting your research instrument(s).

A third criterion for judging research in the area of guidance and counselling is relevance. Since the purpose of any research inquiry is to extend knowledge and understanding, it follows that this must be communicated to a wider audience. When we communicate with people, they assume that we are telling them something that is likely to be of significance to them. It follows that what is communicated should be relevant in some way to the chosen audience. Who are the appropriate audiences for your research and what sort of relevance should your research have for them? Audiences for research reports vary. If you are undertaking a research project within your employing organisation, its primary audience is likely to be members of that organisation. Additionally, your research findings should have some relevance to other audiences. These may include other researchers, a particular practitioner audience or even a more general audience. Whatever audience(s) you select as your target(s), you will need to consider two aspects of the relevance of your research:

importance of the topic: must relate to an issue of importance to the intended audience; contribution to existing: must add something to our knowledge of the issue to knowledge which they relate. Research that merely confirms what is already beyond reasonable doubt makes no contribution to the existing knowledge base. 3.4 Access

No researcher can demand access to an institution, an organisation or to materials. People will be doing you a favour if they agree to help, and will need to know exactly what they will be asked to do, how much time they will be expected to give and what use will be made of the information they provide. They will have to be convinced of your integrity and of the value of your research before they decide whether or not to cooperate. Bell (1993:58) provides a useful checklist of points to consider when negotiating access, including:

Clear official channels by formally requesting permission to carry out your research as soon as you have an agreed project outline. Speak to the people who will be asked to co-operate. Maintain strict ethical standards at all times. Submit the project outline to the principal, senior staff member. Decide what you mean by anonymity and confidentiality. Decide who will receive a copy of the report and/or see drafts of interview transcripts. Inform participants what is to be done with the information they provide. Prepare an outline of intentions and conditions under which the study will be carried out to hand to participants. Be honest about the purpose of the study and about the conditions of the research. Remember that people who agreed to help are doing you a favour. Even when strict protocol is adhered to, things can go wrong. Blaxter et al identify the following strategies to consider if access is denied (1996:144):

approach other individuals. If one person refuses to be interviewed or answer a questionnaire, try approaching another person in a similar position or sharing similar characteristics; approach another institution; approach another individual within the same institution (more risky because of possible communication with the institution); try again later, when people are less busy. Attitudes may have changed, people may have moved on, and you may have more to show to demonstrate the value of your research; change your research strategy. This is probably something you should be prepared to do, and plan for, throughout the research process. It may involve using other, perhaps less sensitive, methods for collecting data, or focusing on a slightly different set of issues, or studying alternative groups or organisations. 3.5 Managing your research project

Constraints operate on any research process. This section discusses time and costs, as well as identifying some others which may well be relevant for the type of research you are planning.

Inevitably, the nature and extent of your data collection will be constrained by your access to various resources – in particular time. Whatever the competing demands for your time and attention, it is important to think about what strategies you need to develop to manage the new demands of your research project in parallel with all the established demands.

A key strategy for managing your time effectively is to be realistic, initially, about the methods you are going to use to collect data and the amount of data needed. One common problem with new researchers is over-ambition. Since it’s likely that you will have a limited timescale to complete and write up your research, it follows that the methods you select will have to be informed by these (and other) considerations. For example, time available will limit the amount of any cross-checking you can undertake, and the size of your research sample.

The costs of research can mount up, so it is advisable to undertake a rough costing of the methods of data collection and analysis that you have considered to make sure they are affordable. The process of costing research activities will be very useful if you are, at any stage of your professional career, ever likely to apply for research funding. For applications for external funding, a detailed costing has to be submitted, and if successful, it is likely that you will have to adhere fairly closely to the original costing submitted.

The costs of your research project could include:

travel costs to your research sites and/or libraries; costs of consumables, such as paper, tapes, batteries, etc.; equipment purchase or hire costs (e.g. word processor, tape recorder, software); book, report and journal purchases; photocopying, printing and binding costs; postage and email/telephone costs. Other constraints

In addition to time and costs, there are bound to be other constraints you need to take into account when designing your research: for example, the willingness of people to be interviewed or observed. If you need to observe meetings or training sessions, you will be limited by the schedule of meetings or training events that will take place during the data-collection phase of your project. If you need to research some aspect of guidance and counselling that requires involvement with schools, colleges or universities, you are likely to be constrained by examination timetables and vacations.

To manage your research project successfully, you will need to anticipate routine constraints affecting the research process. This will help you to develop strategies to cope with these limitations and avoid difficult situations arising in the first place.

3.6 Overcoming obstacles

The process of successful research will, inevitably, involve developing problem-solving techniques. Problems that may arise can range from those relating directly to the research process (for example, the response rate is very low), to problems in other areas in your life (for example, changing your job or falling ill). Blaxter et al (1996: 137) suggest the following ways of coping with difficulties:

remind yourself that the purpose of carrying out research, particularly as a new researcher, may be as much to develop your understanding of the research process and/or the use of particular research methods as to explore substantive issues; remember that it may be just as valid to write up your research in terms of, for example, the problems of gaining access to a particular group, or of getting an adequate response from that group once access has been gained; as part of writing your research report, reflect on your research strategy, explore what went wrong and why and include recommendations for improvement; view research as being about the skills you have learnt and developed on the way. Part of doing research is about appreciating what is involved and where it may be leading you; if you have time and resources, you may choose to redirect your research strategy when you become stuck.

This section will help you understand the broader context of guidance research including consideration of both qualitative and quantitative approaches.

4.1 Introduction

This section examines the two major traditions of research methods: qualitative and quantitative. It discusses the dominant effect that one of these traditions (quantitative research) has had on current careers guidance and counselling practice and considers the value of piloting research.

4.2 Objectives: stage 4

distinguish between quantitative and qualitative research; outline some key issues from current practice which link with research method; describe the main features of qualitative research; describe the main features of quantitative research; pilot your research project. 4.3 Models of Research

The most common way of conceptualising the diversity of approaches to research is to distinguish between quantitative and qualitative models. It is this distinction that will be adopted here, though it should be stressed that this is a rather crude distinction that can be misleading. In reality, much social scientific research combines methods from the two traditions. So how are these two approaches different? Most obviously, quantitative research involves measurement on some numerical basis and usually employs statistical techniques, whereas qualitative research does not (at least to the same degree). Various other features of the research process are also associated with the different traditions. For example, quantitative research favours structured forms of data, which can consist of frequency counts or other types of measurements. In contrast, the data that qualitative researchers typically deal with are verbal descriptions in natural language often collected from an interview or some type of recorded conversation (for example, using audio tapes). They deal more in meanings, experiences and descriptions. This type of data cannot be directly subjected to counting or measuring, though, of course, they can subsequently be presented so that they can be analysed quantitatively.

Other differences have already been identified in 1.4 above. For example, the sequence and relationship of activities involved. A quantitative approach requires that the researcher collects all the data before analysing it. A qualitative approach requires that data collection and analysis are intertwined. One other important difference relates to views about the role of theory. These and other differences will be discussed in more detail later.

Methods of data collection are also varied. Some are clearly associated with quantitative research (for example, the scientific experiment) and other with qualitative research (for example, participant observation). Others are shared by both traditions (for example, questionnaires and interviews) though the precise design of the research instrument and the approach adopted by the researcher are likely to differ. There is a vast literature available on research methods. You will need to spend time reading about different methods and, once you have an idea of your research focus and methods, you will need to spend time researching issues related to different designs (for example, of questionnaires). Whichever approach (or combination of approaches) you choose to adopt for your research project and whatever methods, remember the underlying purpose is to extend knowledge and understanding about some aspect of careers guidance and counselling. As May (1996:3) expresses it more generally, the purpose of all research is:

'to understand and explain social phenomena, to focus attention on particular issues and to challenge conventionally held beliefs about the social and natural worlds'.

4.4 Research Traditions in Guidance and Counselling

Current Practice

The theories which underpin current careers guidance and counselling practice have come mainly from North America. Varied accounts exist which identify the main influences in the development of this body of knowledge (for example, Arthur et al,1989, Brown et al, 1990, Seligman, 1994, Scharf, 1997 and Zunker, 1998,). Despite disagreements about the particular strands of influence, there is agreement that Frank Parsons was the founding father of the vocational guidance movement. A seminal work by Parsons entitled Choosing a Vocation was published posthumously in 1909. His ideas about how people choose jobs came from differential psychology and were initially referred to as the 'talent matching' approach. They later developed into what became known as the 'trait and factor' theory of occupational choice, and were developed by theorists who had a major impact on practice such as John Holland (1966,1973, 1992) and Alec Rodger (1952). Parsons' core concept was that of 'matching'. He suggested that occupational choice occurs when people have achieved:

an accurate understanding of their individual traits (e.g. personal abilities, aptitudes, interests, etc.); a knowledge of jobs and the labour market and then made a rational and objective judgement about the relationship between these two groups of facts. A key assumption is that it is possible to measure both individual talents and the attributes required in particular jobs which can then be matched to achieve a 'good fit'. It is when individuals are in jobs best suited to their abilities, they perform best, and productivity is highest.

This theory of occupational choice has dominated careers guidance and counselling practice for nearly a century, partly because of its practical appeal. It provides careers guidance and counselling practitioners with a clear rationale and framework for practice. Additionally, the underlying philosophy has suited policy makers since it lends itself to the servicing of labour market requirements. Consequently, it has been embraced enthusiastically by policy makers and barely questioned by the majority of practitioners.

The theory contains, however, fatal flaws. Scharf (1997) reminds us that:

There is little research supporting or refuting trait and factor theory itself as a viable theory of career development. Rather, the research that has been done, of which there is a large amount, has related traits and factors to one another or has established the validity and reliability of measurements of traits and factors.' (p26).

There was no viable theoretical alternative during the first half of this century to this 'best fit' theory of occupational choice, and it was not until the 1950's and 1960's that theories originating from other academic disciplines such as sociology, and other branches of psychology like developmental psychology emerged as serious alternatives. Theories which were developed from these academic disciplines emphasised the context in which occupational 'choice' occurred and the importance of the maturation process of individuals, respectively. Since this time, the theories careers guidance practitioners have used to inform their practice have expanded dramatically. Whichever theories actually inform current practice, there is emerging consensus around the inadequacies of these theories. In particular, researchers are questioning the relevance of current theory for particular sectors of society.

Adequacy of Current Practice

There is a growing critique of the current practice of careers guidance and counselling which is based on theory derived from quantitative research methods. For example, Osipow and Littlejohn (1995) discuss serious weaknesses in applying current theory to Minority ethnic groups. They argue that a major problem is the manner in which all current theories use concepts which 'assume cultures that are relatively affluent and have good opportunities for education, upward mobility and family support and encouragement' (p255). Many members of minority ethnic groups, they argue, do not have access to these privileges.

Hackett (1997) identifies several problems in trying to apply current theory to girls and women: 'I am suggesting the need for formal testing of competing models as well as attempts at unification and integration....we also need to incorporate issues of sexism, racism and their interaction, along with considerations of relational orientation, support and barriers into all our developing conceptions of women's career psychology’ (p187).

Savickas (1995) relates current problems with theory to the more fundamental issue of different philosophical origins reflected in the two approaches to research. He identifies inherent tensions which arise from the academic traditions of different theories: 'sharp lines have been drawn on which philosophy of science to choose' (p15). He concludes that 'vocational psychology could benefit simultaneously from refinements forged within the distinct career theories, from advances produced by convergence among career macrotheories and from break-throughs induced by divergence in work-role microtheory' (p29).

Implications for Research Methods

Theories informing current guidance and counselling policy practice have been developed mainly by psychologists operating from scientific positivist paradigms of research using quantitative methods. What, then, are the concerns now being expressed about the limitations of this research method?

Taking just one example of careers guidance and counselling for girls and women, Harmon & Meara (1994) discuss the limitations of experimentally designed empirical inquiry that meets the criterion of internal validity for both policy and practice. They argue that 'those who are interested in career counselling for women seem to be swimming against this tide in an attempt to integrate science and practice' (p362).

Hackett (1997) reviews some of the criticisms made about the existing literature on women's career development which include research methodologies which have been used. In particular, she argues that there is a need to move beyond 'simple correlational designs' (p184) and suggests that qualitative research methods 'are highly appropriate in attempts of this sort to truly understand the experiences of a group that has received insufficient attention' (p185). She discusses the need to triangulate across different data sources using focus groups, diaries, archival documents, or observations, concluding that 'future research on this model will also benefit from the integration of qualitative and quantitative methods' (p186).

Others have also discussed the type of research methods which should be used for future research inquiry. For example, Rainey and Borders (1997) advocate the use of narratives, constructivist methods or other qualitative approaches to examine environmental factors for girls and women (p169). Edwards and Payne (1997) state simply that there is a need 'to embrace ideas from a wider moorland of study than is presently the case' (p537).

Overall, then, there is a growing consensus that scientific research methods from within a positivist paradigm have been found to be wanting in several respects. Knowledge and understanding built up from a particular approach to research needs to be complemented with knowledge and understanding derived from different ways of investigating social phenomenon.

4.5 Quantitative Research

'Quantitative research is concerned with the collection and analysis of data in numeric form. It tends to emphasise relatively large-scale and representative sets of data, and is often........... presented or perceived as being about the gathering of facts.' (Blaxter et al (1996:60).

Quantitative or traditional experimental approaches set out to quantify and measure the contributions of different factors to phenomenon (for example, occupational choice behaviour). It can be useful if you want to compare things, like test scores under different conditions or behaviour under different conditions. However, this approach to research has certain disadvantages for small scale studies. For example, you would need a large enough sample to ensure your data is statistically significant. Additionally, your sample must be representative so that you can be confident of getting the same pattern of results again when you repeat the same procedures on a different population. Only then would you be able to generalise your findings to a wider sample than the one you are testing.

Robson (1993:19) summarises the five sequential steps which are commonly regarded as typifying the 'scientific' or quantitative approach to research. These involve:

Deducing a hypothesis (a testable proposition about the relationship between two or more events or concepts) from theory. Expressing the hypothesis in operational terms (i.e. ones indicating exactly how the variables are to be measured) which propose a relationship between two specific variables. Testing this operational hypothesis. This will involve an experiment or some other form of empirical enquiry. Examining the specific outcome of the enquiry. It will either tend to confirm the theory or indicate the need for its modification. If necessary, modifying the theory in the light of the findings. An attempt is then made to verify the revised theory by going back to the first step and repeating the whole cycle. So, adopting a quantitative approach to research involves searching for causal relationships which are conceptualised in terms of the interaction of 'variables', some of which (independent variables) are seen as the cause of other (dependent variables). It will invariably involve designing and using standardized research instruments (for example, tests, questionnaires, attitude scales) so that numerical data can be collected which will then be manipulated using statistical techniques.

Some suitable data for this research method already exists in the form of published or unpublished statistics. Often, though, researchers have to produce the data they need for analysis themselves. For example, from a laboratory experiment or from psychometric or personality tests which have been administered to relatively large groups of participants. As previously indicated, if responses to unstructured questionnaires can be coded and then counted in some way, this may also be a source of quantitative data.

4.6 Qualitative research

'Qualitative research is concerned with collecting and analysing information in as many forms, chiefly non-numeric, as possible. It tends to focus on exploring, in as much detail as possible, smaller numbers of instances or examples which are seen as being interesting or illuminating, and aims to achieve 'depth' rather than 'breadth'.' (Blaxter et al.,1996:60).

Qualitative research is concerned with life as it is lived, things as they happen or situations as they are constructed in the day-to-day course of events. Qualitative researchers seek lived experiences in real situations, try not to disturb the scene and to be unobtrusive in their methods. This is to ensure that data and analysis will closely reflect what is happening. Qualitative researchers are also interested in 'natural' experiments. For example, when ordinary processes are disrupted, basic rules and norms are thrown into relief. Usually, these types of rules and norms are tacit and understood, perhaps subconsciously, by people in a particular situation. A recent example relevant to guidance in the UK is the recent is the introduction of Personnel Advisers to work with disaffected young people in the Connexions service. Reformed organisational structures, different relations with schools, colleges, Youth Services, Social Services, Youth Offending Teams, and Educational Welfare Officers, different working practices with clients (e.g. over a two year period) are all examples of natural experiments which would be legitimate areas for research inquiry using a qualitative approach.

When studying in this way, it is important not to start off with too many preconceptions about what you might find. It is necessary to maintain an openness, not pre-judging issues and not even settling for the first (even second) impressions formed. Guesses might be made, tested along the way and abandoned, changed or revised in the light of later discoveries. This mode of study will have implications for the relationship fostered with the subjects in the research (refer to 'ethics' in 1.6, and 'access' in 3.4).

Six characteristics of qualitative research are identified by Blaxter et al (1996:61):

Events can be understood adequately only if they are seen in context. A qualitative researcher therefore immerses her/himself in the setting. The contexts of inquiry are not contrived; they are natural; nothing is predefined or taken for granted. Qualitative researchers want those who are studied to speak for themselves, to provide their perspectives in words and other actions. Therefore qualitative research is an interactive process in which the persons studied teach the researcher about their lives. Qualitative researchers attend to the experience as a whole, not as separate variables. The aim of qualitative research is to understand experience as unified. Qualitative methods are appropriate to the above statements. There is no one general method. For many qualitative researchers, the process entails appraisal about what was studied. This approach to research, therefore, involves considered selection and interpretation. It is therefore important to make the choice of focus for study principled and clear as well as being careful to make only reasonable claims in the research report or dissertation. In addition to making the basis of selections and methods clear, the researcher needs to include some biographical information because s/he cannot be regarded as an objective recorder of absolute truths, but rather a participant in the research process.

4.7 Piloting

Piloting is the process whereby you try out the research techniques and methods you have in mind to see how well they work in practice. This enables you modify your plans before you commit too much time to one procedure. If you have spent time thinking about and planning your research project, you may be tempted to believe that you are clear about what you are doing. However, the value of piloting research cannot be overestimated. Things rarely work out the way you expect - respondents can answer a questionnaire or interpret an interview question in ways that you can never anticipate! Taking time to run a pilot can save you time, frustration and even anguish in the end.

In a small scale study, even an informal pilot can prove invaluable. Try out a couple of interviews, get some friends to fill out your questionnaires, go and observe some organisational activities - or whatever else you have in mind for the data collection phase of your project. You will almost certainly gain from doing this, even if it is a more accurate idea of the time collecting data can take. If you do this early enough, you can change your strategy before it's too late!

This section provides guidelines to help structure a research report.

When writing the main body of your research report, the following points may help with the structure:

Introduction:

Use your introduction to: set the context of your study (including information about your own role); explain why you approached your study in the way you did; what you hope to demonstrate by your results; and justify your approach with reasoned argument based on relevant theory and research evidence.

Literature Review:

The literature review should employ a critical, analytical approach with an understanding of (relevant) competing perspectives. It must go beyond a descriptive account and should be logically and coherently organised. Your review should demonstrate a detailed knowledge of original sources and the field together with your understanding of main theoretical and methodological issues. Do not be afraid to add your own ideas, especially if your study challenges established wisdom.

Research Method:

The purpose of this section is to enable your reader to understand exactly what you did as part of the research process, together with the results and your interpretation of their meaning. It should include sufficient details to enable the reader to understand:

the overall design of the study; details of participants (e.g. age, gender, experience, occupational role, etc.); research instruments used; procedures used in the study. This section should also contain a description of the overall purpose, summary of content, structure and justification of why this particular approach was used. If an instrument (e.g. questionnaire) was designed especially for your study, you should also include details of its piloting and include the final version as an appendix. Issues of validity and reliability should also be addressed.

Your results should be presented in a form that enables the reader to understand exactly what your data consists of and sources. It should also identify any trends that have emerged and (where relevant) statistical techniques used as well as the results of these analyses. Finally, this section should address the way(s) in which the data illuminate your research question(s).

It is likely that the results section will be the most difficult to write. If your have undertaken a qualitative study or have huge quantities of data, then you may need to include some discussion and not just description in this section. You should not include extensive ‘raw’ data and the results must be organised, summarised and selective. Where appropriate, tables or diagrams should be used to summarise your results. It may not even be possible to include all the results, as this may overwhelm your reader and obscure your main findings.

Discussion:

The purpose of this section is to:

present your interpretation of your results; justify your interpretation by anticipating counter arguments; and urge caution in accepting your interpretation where there are defects in the design and execution of the study. Few applied studies can be perfect, so demonstrate your awareness of flaws and weaknesses in your work and your understanding of how you might improve on your research. It is also important to comment on any practical difficulties you may have encountered, especially those out of your control. In summary, adopt a ‘reflective practitioner’ approach in reviewing the research process as a whole.

Your discussion should also highlight links between your own research and the literature review and evaluate your study's contribution to professional guidance practice.

Conclusion:

Your conclusion should present a summary of what you have achieved in your research project, without containing any new material. It should also suggest the implications of the findings, identify future related research and emphasise issues which require further research or investigation.

The 'Harvard Reference Style' is one system of referencing sources used internationally by scholars and researchers. At Coventry University the Centre for Academic Writing have produced a website and downloadable guide to this system which may be of interest. It includes sections on referencing new technology sources such as websites and emails. The link address is: http://home.ched.coventry.ac.uk/caw/harvard/index.htm

Search form

Research and innovation menu, research and innovation, research skills development.

Willison & O’Regan (2007) believe that the development of research skills occurs on a continuum of knowledge production, from that which is new to the learner to fringe research that is new to everyone, or to move from “the commonly known, to the commonly not known, to the totally unknown.” (p. 394). From this perspective, they developed a  Research Skills Development Framework   that outlines six facets of research and describes how each skill/activity manifests along a continuum based on the level of student autonomy:

Key Terms*:

• Prescribed Research –  highly structured directions and modeling from faculty
• Bounded Research –  boundaries set by and limited directions from faculty
• Scaffolded Research –  scaffolds placed by faculty shape the students’ research
• Student-initiated Research –  student-initiated research under the guidance of a faculty member
• Open Research –  independent student research that is guided by disciplinary standards

* Please see the  RSD Framework  for a full description.

The Research Skills Development Framework is useful as both a conceptual and planning tool as well as an assessment mechanism.  It can be used to develop course and program activities that are appropriate for the level of research being conducted, it can help clarify learning outcomes, develop assessment measurements, and  track student progress and development.

Equipped with an understanding of student development and research skills development, one can begin to conceptualize and plan undergraduate research activities that best suit the characteristics of the student population you are working with and/or the students that you are targeting to conduct research with – whether it be in a course or extra-curricular activity.

Next – Strategies 

• Willison, J.W. & O’Regan, K. (2007). Commonly known, commonly not known, totally unknown: A framework for students becoming researchers.  Higher Education Research and Development , 26, 393-409.

Mentoring Undergraduate Research Directory

Mastering Research Skills: A Cornerstone For Success In Science

Explore the importance of research skills in science. Learn critical thinking, reliable sources, search engine tips, and time management.

Research Skills are a cornerstone of success in science, encompassing the abilities necessary to navigate knowledge acquisition and extensive research. These skills not only facilitate the discovery of new information but also contribute to them being thoroughly analyzed and implemented. Let’s delve into critical research skills and see how they form the backbone of a thriving scientific career.

Understanding The Essence Of Research Skills

Research skills encompass the methodologies and competencies employed to gather, assess, and synthesize information effectively. These skills go beyond mere data collection; they involve critical thinking, reliable source identification, active listening, and proficient time management.

Related article: Mastering Critical Reading: Uncover The Art Of Analyzing Texts

Research skills constitute the backbone of any successful inquiry process, serving as a comprehensive toolkit that extends beyond the superficial gathering of information. Beyond the initial data accumulation phase, these skills embody a multidimensional approach. 

Research skills further encompass active listening — an often underestimated yet pivotal aspect — enabling researchers to glean valuable insights from conversations, lectures, or expert discussions. This skill ensures a holistic understanding of the subject matter, enriching the depth of information gathered and enhancing the overall research process.

The Merits Of Proficient Research Skills

The benefits of cultivating strong research skills extend beyond the individual researcher; they reverberate throughout academic and professional realms. One of the primary advantages is the empowerment to make informed decisions based on a thorough understanding of the available data. Researchers with honed skills can navigate through vast datasets with efficiency, identifying patterns and correlations that might elude those with less developed research acumen.

Moreover, these skills are instrumental in fostering innovation. The ability to synthesize information from various sources, coupled with critical thinking, allows researchers to envision new possibilities and alternative approaches to longstanding problems. This capacity for creative thinking is a hallmark of individuals with advanced research skills and is often the driving force behind groundbreaking discoveries and advancements in scientific knowledge.

In the professional sphere, individuals with strong research skills are valuable assets to organizations. Their ability to gather, evaluate, and apply information contributes to effective problem-solving and decision-making. In industries driven by technological advancements and data-driven insights, research skills are increasingly becoming a sought-after and indispensable trait in employees.

Cultivating Critical Thinking In Research Endeavors

Critical thinking is the cornerstone upon which the edifice of scientific inquiry stands. Beyond merely gathering information, it involves a systematic approach to analyzing, evaluating, and interpreting data. This skill equips researchers with the ability to discern patterns, spot anomalies, and derive meaningful conclusions from complex datasets. Moreover, critical thinking in research facilitates the identification of potential biases, ensuring objectivity and rigor in the investigative process. It enables scientists to challenge established theories, fostering an environment of intellectual curiosity and continual exploration.

Also read: How To Avoid Bias In Research: Navigating Scientific Objectivity

Furthermore, honing critical thinking skills is essential in adapting to the rapidly evolving scientific landscape. As new information emerges and paradigms shift, researchers equipped with strong critical thinking abilities are better poised to adapt to changes, integrate new knowledge, and refine their approaches.

Why Critical Thinking Is Paramount In Research

In the realm of scientific inquiry, critical thinking serves as the linchpin for discerning between reliable and fallacious information. It is the foundation for formulating hypotheses, design experiments and draw conclusions. By employing critical thinking skills, researchers can evaluate the validity of claims, weigh evidence objectively, and arrive at conclusions rooted in evidence-based reasoning. This approach safeguards against premature conclusions and ensures that scientific findings are based on robust analysis and thorough scrutiny.

Moreover, critical thinking promotes intellectual humility, encouraging researchers to remain open to alternative viewpoints and possibilities. It fosters a culture of constructive skepticism, wherein scientific claims are subject to continuous scrutiny and refinement. This aspect of critical thinking is pivotal in mitigating the influence of personal biases and fostering a collective pursuit of objective truth within the scientific community.

Related article: Thesis Conclusion: Making Your Research Paper Outstanding

Sharpening Critical Thinking Abilities

Improving critical thinking skills is an ongoing endeavor that involves deliberate practice and exposure to diverse perspectives. Engaging in activities that challenge assumptions, such as analyzing conflicting viewpoints or participating in debates, can sharpen critical thinking abilities. Additionally, fostering a habit of continuous learning and staying abreast of developments in various scientific domains can broaden perspectives, enhancing the ability to approach problems from different angles.

Moreover, encouraging interdisciplinary collaboration and engaging in discussions with peers from varied scientific backgrounds can stimulate critical thinking. Exposure to alternative methodologies and problem-solving approaches cultivates adaptability and a more nuanced understanding of complex scientific issues.

Navigating Reliable Sources In Scientific Inquiry

The art of identifying reliable sources is a skill that requires meticulous evaluation and discrimination. Apart from traditional peer-reviewed journals and reputable publications, researchers must discern the authenticity of online sources, considering factors like author expertise, publication credibility, and potential biases. Furthermore, acknowledging the significance of preprint articles while discerning their limitations is pivotal in staying updated with the latest scientific developments.

Criteria For Reliable Sources

Developing a keen eye for distinguishing credible sources from unreliable ones is crucial. Encouragingly, initiatives promoting media literacy and critical evaluation of sources are gaining traction, empowering individuals to navigate the digital landscape more discerningly.

Reliable sources in scientific research adhere to stringent criteria, embodying credibility, accuracy, objectivity, and relevance. Peer-reviewed journals, known for their rigorous editorial and review processes, serve as gold standards in academic research. Additionally, reputable institutions and recognized experts within specific scientific fields contribute to the authenticity of information.

Understanding the underlying criteria for determining source reliability allows researchers to make informed decisions about the veracity and applicability of the information they encounter. This discernment, crucial in an era flooded with information, is fundamental to upholding the integrity of scientific inquiry.

Discerning And Assessing Reliable Sources

Developing the ability to discern credible sources involves a multifaceted approach. Understanding the context in which the information is and cross-referencing it with multiple reliable sources adds layers of validation, ensuring the reliability and accuracy of the information gathered.

Furthermore, distinguishing between primary and secondary sources aids in the assessment process. While primary sources offer firsthand information or original research findings, secondary sources interpret and analyze primary data. Recognizing the nuances between these sources is pivotal in grasping the depth and breadth of scientific information.

Harnessing The Power Of Search Engines In Research

In the digital age, search engines serve as gateways to an expansive pool of information. Leveraging these tools efficiently necessitates familiarity with advanced search techniques. Utilizing specific search operators, employing filters, and refining search queries enable researchers to access targeted and relevant information swiftly. Moreover, being mindful of the credibility of the websites accessed via search engines ensures the reliability of the gathered data.

Despite the convenience offered by search engines, researchers must approach the results with a critical lens. Verifying the sources’ credibility and cross-referencing information from various reputable sources remains imperative. Search engines, while valuable, are tools that require adept navigation to extract credible and pertinent information effectively.

Maximizing Search Engine Efficiency

Understanding the nuances of different search engines tailored for scientific research, such as PubMed, Google Scholar, and Scopus, can significantly enhance the efficiency of the research process. Each search engine has unique functionalities and focuses, catering to specific scientific disciplines or types of information. Familiarizing oneself with these platforms and their features empowers researchers to optimize their search strategies and access specialized resources pertinent to their field of study.

Related article: The Importance of Scholarly Sources: How to Find and Evaluate

Moreover, utilizing advanced search parameters, such as Boolean operators or specific filters, allows researchers to refine their searches and access highly targeted information. Learning and applying these techniques enhance the precision and relevance of the obtained results, streamlining the research process and saving valuable time.

Active Listening: A Crucial Research Skill

Active listening extends beyond the conventional perception of listening; it involves a focused and deliberate effort to comprehend and assimilate information effectively. During the research process, active listening plays a pivotal role, particularly when gathering insights from expert discussions, interviews, or academic lectures. It demands undivided attention, keen observation, and an open-minded approach to absorb the nuances and key concepts communicated by the speaker.

Furthermore, active listening isn’t solely about hearing words; it encompasses deciphering underlying meanings, interpreting tone and context, and probing for additional information. This skill enhances the depth and quality of information garnered, ensuring a more holistic understanding of the subject matter.

Engaging In Active Listening During Research

Researchers can refine active listening skills by actively engaging in discussions, seeking clarification when necessary, and taking comprehensive notes. Encouraging dialogue and posing pertinent questions fosters a deeper engagement in the information communicated. Additionally, employing techniques such as summarizing key points or paraphrasing to confirm understanding promotes effective communication and comprehension.

Moreover, employing active listening skills aids researchers in identifying underlying implications and nuances in conversations. It contributes to the extraction of invaluable insights and perspectives, enriching the research process and broadening the scope of information gathered.

Time Management: A Prerequisite For Effective Research

Time management skills are indispensable for researchers seeking to optimize their productivity and efficiency. Successful research requires careful planning and allocation of time for various research phases, including data collection, analysis, experimentation, and documentation.

Efficient time management involves setting realistic goals, establishing priorities, and adhering to structured timelines. Breaking down larger research tasks into manageable segments not only prevents overwhelm but also ensures a systematic approach towards achieving milestones.

Also read: Time Management for Researchers: A Comprehensive Toolkit

Efficient Time Management Strategies

Adopting strategies like creating timelines, setting deadlines for specific research milestones, and maintaining a structured schedule helps researchers stay focused and organized. Furthermore, allocating dedicated time slots for research activities prevents procrastination and promotes consistent progress.

Moreover, embracing tools and techniques that aid in time management, such as calendar applications, task management software, or productivity frameworks like the Pomodoro Technique , can significantly enhance efficiency in research endeavors.

Create Scientifically Precise Infographics Effortlessly

For scientists seeking to enhance the presentation of their research, it’s crucial to go beyond just the depth of data. Readers often gravitate towards visual content, allowing them to grasp concepts more quickly. With Mind the Graph , you can access a vast library of scientifically accurate figures spanning various topics. Sign up and create compelling infographics in minutes, elevating the quality of your research papers.

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A framework to teach library research skills

Embedding library skills within disciplines allows teachers and students to link them to learning outcomes and research requirements. Here, a team of engagement librarians explain how to put a map in place

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Karen rolfe, siân furmage, michael latham.

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Teaching library skills might be  ill placed during induction weeks. Rather, evidence suggests that embedding library research and other transferable skills within disciplines supports students’ learning and retention of skills. Using a framework to support embedded library skills teaching in this way is in line with evidence-based practice .  

Library inductions at the start of a new academic year are also time and staff intensive. As library educators, we want to be consistent with the content we cover with students at all levels, providing our teaching at a point of need. We want to link the library skills students are developing to their subjects, learning outcomes and assessments that need library research skills (such as finding and citing literature).  

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A library research skills framework provides values, standards and skills for students at all levels (and educators) to work towards; it establishes learner expectations and allows for year-on-year development. A framework can offer a structure for up-to-date and consistent skills training for students. It also gives library and academic staff a clear reference for curriculum mapping to highlight priorities and actions across qualifications, and to identify and open conversations around gaps in students’ library skills.

How we created our library research skills framework  

Our  library research skills framework describes six areas:  

• Transition skills  
• Online  study
• Finding information  
• Evaluating information
• Citing and referencing  
• Digital literacy.  

Learners should be supported to develop these skills during their undergraduate or taught postgraduate degree programmes. Our framework describes their expected progression, from being a new undergraduate to final-year student and into employment.

Our framework was created after benchmarking other national and international skills frameworks. We asked academic and library colleagues to comment on an initial draft, then incorporated their feedback and piloted the framework with two academic schools. We gathered more feedback from the teaching staff, librarians and students, and incorporated their input into the next iteration. We now have a process to continuously review and develop our framework.  

How do we use our library research skills framework?  

Our library research skills framework has been instrumental in helping our librarians to create curriculum maps. Librarians have identified the core or compulsory modules within each programme and mapped the learning outcomes to the skill areas of the framework. This allows our librarians to align their teaching, and learners can understand the link between library research skills and their subjects. As a result, librarians’ teaching is, as a whole, more sustainable and provides better quality support for our students.  

Ultimately, we want to map out the best path for our learners to acquire library research skills throughout their degrees and into their lives post-qualification. The framework helps us to have conversations with our academics about creating relevant learning outcomes and touch points in their programmes and modules. It includes content, resources and activities pitched at the appropriate level for the learners and which librarians can use in their teaching or academic staff can use independently with their students.  

What academics, students and librarians say about our framework  

The University of Southampton’s education and student experience committee has endorsed our new approach to embedded teaching of library research skills. Feedback from academics in our pilots indicates that they fully support our approach.  

“The library research skills framework is a welcome approach to improving students’ information literacy and awareness of library resources and support…We are keen to move away from overloading students with information during induction and move towards support at the point of need throughout the academic journey,” said a principal teaching fellow for education development in the Southampton Business School.

Our librarians have found the framework a helpful tool in combination with curriculum mapping the programmes they teach on. 

“Curriculum mapping has ensured that I teach the library session at the appropriate time and align it with the learning outcomes of the course. Using the framework enabled me to pitch my training session at the right level, and its flexibility means that I can choose the relevant elements according to the experience of the students,“ said an engagement librarian to the School of Psychology.  

How to create a library research skills framework  

To create a library research skills framework at your university, first decide what skills your learners will need as they progress through their courses and once they go on to employment. Benchmark against other comparable frameworks and find out if you can use any in their entirety or adapt one that is appropriately licensed under Creative Commons as your starting point. Get feedback on your framework from your academics, librarians and students to make sure it meets the needs of your learners and allow it to evolve.  

Our framework is a living, evolving document that incorporates developments our learners encounter in their studies, such as generative artificial intelligence. We review and update it twice a year. We are developing our equity, diversity and inclusivity content, for example, working in collaboration with academics to embed teaching on diversifying sources. We are in the early stages of planning a piece of research to evaluate the impact of our framework.

Anna Hvass is  head of curriculum engagement ; Karen Rolfe, Siân Furmage and Michael Latham are engagement librarians. All are at the University of Southampton.

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DPABINet: A turn-key brain network and graph theory analysis platform based on MRI data

by Science China Press

DPABINet, developed by Dr. Chao-Gan Yan's team at the Institute of Psychology, Chinese Academy of Sciences, simplifies brain network analysis with a user-friendly, one-click software that requires no programming skills.

Leveraging the widely-used DPARSF/DPABI/DPABISurf platform, it democratizes access to complex brain imaging analyses. This innovation is set to advance brain function research and clinical studies by making sophisticated analyses more accessible to a broader range of researchers. The work is published in the journal Science Bulletin .

The human brain , a marvel of complexity, operates as an intricate network where various regions collaborate structurally and functionally. These interactions forge complex patterns that underpin the diverse functionalities of the brain.

Understanding these complex functions necessitates a deep dive into the brain's networks and the sophisticated interconnections and communication modalities they encompass. Moreover, the exploration of brain network mechanisms opens new vistas in the study of diseases marked by abnormalities in brain function, such as brain injuries and mental disorders , making the investigation of the brain's complex network system paramount for a holistic grasp of its functionalities.

Graph Theory, the bedrock of network science, has found extensive application in dissecting the attributes of complex networks, including those of the brain. It lays out a framework for examining the topological structures of these networks, unveiling pivotal organizational details of functional brain networks across both micro and macro scales.

Despite graph theory's immense analytical potential, the intricacy of existing professional imaging data processing software—often demanding high-level programming acumen—has been a bottleneck, hampering the broader adoption and application of these analytical methods.

Addressing this challenge, Dr. Chao-Gan Yan and his team from the Magnetic Resonance Imaging Research Center at the Institute of Psychology, Chinese Academy of Sciences, have innovated beyond their previously acclaimed brain imaging processing platform (DPARSF/DPABI/DPABISurf, cited in over 5,000 research works, with the DPABI software paper being distinguished as one of the top 0.01% highly cited papers by ESI and featured among the hot papers in the Chinese medical field for 2015-2019).

They unveiled DPABINet, a pioneering platform that amalgamates cutting-edge image processing modules like Brain Connectivity Toolbox, FSLNets, BrainNet Viewer, Circos, SPM, PALM, among others, leveraging docker technology to furnish a user-friendly, cross-platform interface and algorithms.

DPABINet's intuitive graphical interface (GUI) empowers users to seamlessly construct brain networks, conduct graph theory analysis, and perform statistical analysis and result visualization with a single click, eliminating the need for programming or scripting expertise.

Additionally, DPABINet enhances the research on brain structural networks derived from diffusion-weighted imaging, providing a robust analysis framework for brain structural fiber networks predicated on DPABIFiber's preprocessing results.

Inheriting and broadening the design ethos of DPARSF/DPABI/DPABISurf, DPABINet significantly lowers the barrier to entry, enabling users devoid of programming knowledge to undertake precise and efficient brain network construction, graph theory analysis, and data interpretation.

To bolster user proficiency, Dr. Yan's team also offers complimentary online video tutorials , facilitating a swift mastery of DPABINet. This freely accessible, open-source toolbox is tailored to support both newcomers and seasoned users, catalyzing the deployment of brain network research methodologies in both academic and clinical translational studies.

DPABINet marks a significant leap forward in brain imaging data analysis, furnishing researchers with a potent, user-friendly instrument to delve into the complexities of brain networks and their implications in health and disease. This platform enhances the efficiency and precision of constructing and analyzing brain networks, propelling brain science research forward and offering novel investigative tools for the diagnosis and treatment of brain function disorders.

The introduction and utilization of DPABINet promise to significantly advance the popularity and application of brain network research techniques, accelerating progress in brain functional and structural imaging studies, and providing robust support for clinical translational research endeavors.

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