online course quantitative research methods

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How to Learn Quantitative Methods: Find the Best Online Courses

Making sense of the world has never been simple. As humans, we try to find patterns to create meaning from the world around us. A lot of this meaning is derived from numbers. The power of numerical data is always present in scientific research. In other fields of study as well, quantitative measures are essential to reliable research.

Data collection has continuously improved over the years. So many of the research practices currently used by scientists are the result of developments that aim to ensure more reliable research outcomes. Integrity in data will, after all, result in integrity in results.

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What are quantitative methods.

Quantitative methods are research methods in which numerical data is used. They are always in number form and use statistics and mathematics to draw conclusions.

Hypothesis tests are also used in the research process. Before applying statistical methods to data, a hypothesis must first be formed. Through quantitative methods, the data will help show whether the hypothesis is true.

If there are no numbers involved, then the research method is not quantitative. Some common sources of quantitative data are surveys, observations, and secondary data.

What Are Quantitative Methods Used For?

Quantitative methods are used for all types of studies that involve measuring data in numeric form. Quantitative research methodologies can be used in social sciences, social and behavioral science, finance, economics, and business analytics.  

Below are some of the types of research in which quantitative methods can be used.

• Correlational research . This type of research investigates the relationship between variables. Do they have a positive or negative correlation? Or, do they have any correlation at all?
• Descriptive research . This research seeks quantifiable answers to questions starting with what, where, when, and how. Some examples of this are surveys and observations.
• Experimental research . This is the best-known type of quantitative method because it involves a cause-and-effect relationship. When conducting experimental research, you must form a hypothesis before proceeding with statistical analysis of the data.

Types of Quantitative Methods

There are several types of quantitative methods that you can use in conducting your research. Of course, you should ensure that you are picking the one that best fits your field of study.

Before getting into the types of quantitative methods, you should get familiar with the different levels of measurement used in the methods. These levels listed below are commonly used in quantitative methods to compare numerical results.

• Nominal . In a nominal scale, samples are placed into categories. Once placed into categories, the data can be counted.
• Ordinal . In this type of measurement, samples are ordered by rank. For example, 1st, 2nd, and 3rd place, and so on.
• Interval . This is a combination of classifying and ordering measures. Zero has meaning in this scale. For instance, 0 degrees Fahrenheit does not mean the absence of temperature.
• Ratio . This scale is similar to interval except zero now means the absence of something. For instance, 0 kilograms means a lack of weight.

In an experiment, a hypothesis is formed and tested. There is always a control variable against which the effect of its influence on an independent variable is measured. This is a way to find out if there is a cause-and-effect relationship.

When conducting an experiment, you must always start with a few theories, then try to prove if they are true based on your data and results. The quantitative data will either accept or reject the theory.

In the context of quantitative methods, experiments are predominantly used in the sciences to answer a hypothesis. They can also be used in other fields to study the behavior of a group of people.

A survey is a set of questionnaires targeting a specific group. The goal is to find whether a majority of a sample of people agree on a particular statement or idea.

Surveys are quantitative in nature, as they are always measured in numbers. Emotions, impressions, and observations are quantified in order to get a consensus among the respondents. The respondents are selected based on certain parameters.

Surveys have become popular because they can now be conducted through online forms, such as Google and Survey Monkey.

Observation

An observation is simply the act of counting how many times a certain phenomenon has occurred. For example, you could count how many times a specific word was mentioned during an interview.

Observation is all about looking for a pattern and monitoring a specific behavior that jumps out. It is important to note, however, that observation can also be qualitative data, so by using it, you are actually using mixed methods.

Secondary Research

Secondary research is gathering data from various existing work. It means making use of findings by other scientists if first-hand gathering is not feasible.

One of the most notable samples of secondary research is extracting financial data from years past. These can be used as historical data to compare and predict the future performance of a bond or a stock.

Historical data serves as the foundation for a lot of current research. Through secondary resources, it is possible to compare track progress.

Learning Quantitative Methods

If you learn more about quantitative methods, you can ensure that your research has integrity. By familiarizing yourself with the correct methods and processes, you can be confident in the results of your work.

Moreover, there are many careers available in research. According to the US Bureau of Labor Statistics , a market research analyst can earn as much as $63,790 per year. The job outlook is also projected to grow by as much as 18 percent in the next 10 years.

How Long Does It Take to Learn Quantitative Methods?

Quantitative methods don’t take too long to learn. Once you are familiar with the process, you can conduct studies easily. 

From high school through postgraduate studies, these quantitative methods will be your reliable companion. With qualitative and quantitative research methods combined, you will have all the skills you need to conduct research.

How to Learn Quantitative Methods: Step-by-Step

To learn how to use quantitative methods in your research, you should follow the following steps:

• Choose a subject: Decide the topic that you want to explore.
• Develop questions: Once you decide on a topic, you can develop the research questions you want to answer.
• Create a hypothesis: Then, develop your hypotheses based on your research questions.
• Collect data: Collect the data that you will need to analyze using the quantitative method appropriate for your study.
• Analyze information: You can now apply statistical analysis to the data using statistical tools like SPSS and Python .
• Review hypotheses: Interpret the data to see whether it matches with your hypotheses.
• Share results: Make sure to share the results and analysis with others for review.

The Best Quantitative Methods Courses and Training

Even in the midst of the pandemic, you can find ways to satisfy your interest in quantitative methods of research. There are many online courses and classes available for you to choose from to study quantitative methods. Some of them also come with certificates.

Below are some of the available classes on quantitative methods.

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Udemy: Introduction to Quantitative Research Methods

Price : $39.99 Certificate : Available

The course is for those who are interested in learning quantitative research methods. You must already be familiar with basic statistics terms to succeed in this class. The course covers the step-by-step process of how to conduct quantitative research.

It will focus on methods of data collection and data analytics techniques. Although this is not a course on data analytics, some basic topics of data collection will be covered.

The course is self-study and includes four hours of video lectures. There are also assignments you can work on to test your skills as you progress.

Coursera: Quantitative Methods

Price : Free Certificate : Available

In this free Coursera course on quantitative methods, you will discover the scientific methods behind all types of research. The course is part of a five-part lecture on methods and statistics in social sciences.

This lecture covers the use of quantitative methods in all fields, including history and philosophy. Deadlines are flexible so you can submit your assignments at your leisure. The course will instill in you a strong sense of research integrity. 

Harvard Business School: Quantitative Methods

Price : $75 Certificate : Available

Harvard Business School offers this course as an introduction to statistical methods in business. There will be discussions on management and making decisions based on these results.

The course is intended for students looking to go into management. To become an effective manager, you must be knowledgeable in these research methods.

The course is interactive, so all participants are given the chance to show their skills. Enrollees who pass the final assessment will receive a certificate of completion.

Coursera: Quantitative Research

This is a four-week course offered via UC Davis focused on quantitative research in marketing. In the course, you will gain insight into how you can use quantitative research to strategize.

Each week will cover different topics within the field of market research, starting with how to choose the correct quantitative method to use for a particular study or research.

Over the weeks, you will design your own research and test hypothesis, analyze statistic models, and predict the outcome of studies. This course is part of a specialization in market research, but you can still take it as a standalone.

Coursera: Methods and Statistics in Social Sciences Specialization

In this course, you will learn various approaches to statistics. Topics that will be covered include R programming , Regression Analysis, and Analysis of Variance. 

As this is a five-part specialization course, you will be expected to make a 10-month learning commitment. By the end of the course, you will have developed your own research question, started data collection, and analyzed the proper quantitative method to use. 

Should You Study Quantitative Methods?

There is no doubt that quantitative methods can be used in a wide range of research. It is universally used in many disciplines worldwide. Whether used in a scientific study, business analysis, or financial tool, quantitative methods are a necessity for research.

Getting equipped with the right knowledge in statistical methods will allow you to excel in your field of study. It’s a skill that you can apply to many scenarios later in your career.

Take the opportunity now to sign up for one of the online courses on quantitative methods listed above.

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Quantitative Methods for Biology

Learn to program for the medical field..

Join Harvard faculty in this online course to learn introductory programming and data analysis in MATLAB.

What You'll Learn

Are you a biologist, health worker, or medical student who needs to learn how to program? Are you a programmer who wants a better understanding of the medical field? Are you looking for an introduction to MATLAB?

For beginners, Quantitative Methods for Biology takes a unique approach, giving you an inside glimpse of a course and its learners. You'll study alongside students who are also learning to code.

For expert programmers, this course has a will help you learn the MATLAB you need without getting slowed down by introductory concepts that you already know. Whether you're already comfortable with Python, Javascript, r, or some other language, we'll help you translate that knowledge to MATLAB.

All learners will be able to access MATLAB Online, which they can use during the run of the course, free of charge.

In this new run of the course, assignments have been simplified and streamlined to ensure greater browser compatibility.

The course will be delivered via  edX  and connect learners around the world. By the end of the course, participants will be able to:

• The basics of MATLAB
• How to troubleshoot your code
• Basic biological and medical applications

Your Instructor

Dr. Michael Springer is a professor at Harvard Medical School. His lab studies how evolution shapes and constrains the way in which organisms respond to their environment. They analyze cellular responses in several related yeast species, using a combination of in vivo fluorescence, synthetic and genetic approaches, and numerical and analytical modeling. Michael enjoys hiking, backpacking, and spending time with his family.

Ways to take this course

When you enroll in this course, you will have the option of pursuing a Verified Certificate or Auditing the Course.

A Verified Certificate costs $219 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate. 

Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums.  Please note that this track does not offer a certificate for learners who earn a passing grade.

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NEAG School of Education

Online Master's Degree in Research Methods, Measurement, and Evaluation

Research Methods, Measurement, and Evaluation

Master's degree online.

100% Online, 30-Credit Master’s Degree in Research Methods, Measurement, and Evaluation (RMME)

Focus on Program Evaluation, Psychometrics, & Research Methods

Earning a degree in Research Methods, Measurement, and Evaluation will prepare you to formulate concrete research and evaluation questions, select appropriate research designs and evaluation methods to investigate these questions, construct research and evaluation tools to collect high-quality data, use statistics to analyze gathered data, and interpret quantitative data analyses to inform decision making and policy.

The University of Connecticut's Master's of Arts in Research Methods, Measurement, and Evaluation (RMME MA) is a 100%-online, 30 credit-hour program consisting of 6 core courses paired with 4 electives. Offered through the Neag School of Education’s Educational Psychology Department, the RMME MA places extensive focus on research methods, techniques, and practices; quantitative data analysis; educational measurement; and program or policy evaluation. The RMME MA program is designed to create versatile practitioners, capable of engaging in multiple fields across disciplines.

Both intellectually stimulating and rigorous, this 100% online, research-based degree promotes the use of Research Methods, Measurement, and Evaluation skills through a blend of theoretical knowledge and hands-on applications to facilitate research and program evaluation practice. You will learn measurement, data analysis, and evaluation techniques used daily in schools, industry and corporate environments, military entities, federal or state/local governments, and other formal or informal educational settings.

The RMME program's outstanding faculty are committed to providing:

• Well-organized, interactive online course curricula with clear learning objectives and expectations
• Exposure to a diverse array of theories and practices within the fields of research and evaluation
• Student-faculty interaction that encourages your professional development
• Support in building a network of classmates & peers with whom you will continue to connect into the future

The Research Methods, Measurement & Evaluation online master’s degree program is designed for educators and various practitioners ranging from corporate training & learning designers through sales force management seeking program evaluation expertise. Further, it is an ideal option for recent college graduates currently in or entering the workforce, who want want to increase their professional marketability and/or move into the research side of education.

RMME's asynchronous, online coursework focuses on current and emerging topics in areas related to:

• Classical and modern measurement theory and applications
• Instrument development
• Quantitative research methods
• Program evaluation
• Applied statistics
• Educational assessment
• Return on Investment (ROI) Assessment, and more!

Credits earned in UConn's online RMME master's degree program are transferable to UConn's Program Evaluation Online Graduate Certificate program!

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As a highly-ranked R1 Research University (the highest designation of research activity for an institution of higher education), you can rest assured that all of UConn's academic programs feature the most relevant and current research-informed content.

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RMME students also gain in-demand STEM skills necessary for careers in today's most-rapidly expanding career fields.

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Quality is the cornerstone of UConn’s online MSW degree. With a curriculum mirroring our on-campus program and guided by experienced UConn faculty, we maintain the same high standards in the online format. Coming to you from a top-ranked, accredited, R1 Research public institution, you can be assured that our online social work curriculum, delivery, and experience is central to our mission. Your success, and that of your clients and employers, is our success.

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Quantitative Research Methods – BUSI 820

CG • Section 8WK • 11/08/2019 to 04/16/2020 • Modified 09/05/2023

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Course Description

This course is designed to prepare doctoral students to apply statistical methods to problems in business administration. Students will learn the fundamental concepts, designs, principles, and statistical skills necessary to perform an empirical study. This will include a basic knowledge of the nature of quantitative methods and the principles of experimental design. Upon conclusion of the course, students will be able to differentiate between a variety of models and statistical methods appropriate to business administration research. (Formerly  BUSI 720 )

For information regarding prerequisites for this course, please refer to the  Academic Course Catalog .

Applied statistical methods help investigate and provide solutions to business problems. Quantitative statistics builds foundational skills relevant to research methodologies used in business studies as well as industry.

MISSION/VISION/PHILOSOPHY

The mission of the DBA program is to provide an opportunity for qualified students to attain academic, professional, and practical competence—within the Christian worldview—which prepares students for opportunities, and corresponding additional responsibilities, beyond the master’s degree level. The DBA program emphasizes practical and real‐world applications in both the course work and the major applied doctoral research project requirements. The vision of the DBA program is to produce graduates with intellectual and professional competencies in the following areas:

• the ability to present and defend arguments based on theories, concepts, and empirical evidence in matters relating to research methodology and research design, as well as those relating to the business disciplinary domain in which the research is located;
• the ability to demonstrate the capacity for reflective and analytical business thinking;
•  the ability to draw together relevant concepts and theories from different business disciplines in order to gain a better understanding of the organizational context in which particular problems or opportunities arise;
• the ability to analyze problems and issues arising in business and management contexts, utilizing relevant theories, concepts, and empirical findings;
• the ability to identify and analyze questions and issues in business; and
• the ability to design, implement, and successfully conclude empirical research projects.

Each of the above will be considered in light of biblical principles, and be integrated within the Christian worldview.

The DBA program philosophy supports both the program mission and vision, and is as follows. PhD programs in business focus intensively on preparing candidates for academic careers and to conduct highly specialized academic research, i.e., the development of new theory in business and other related business fields. Doctor of Business Administration (DBA) programs focus on the application of theory rather than on the development of new theory. While also intended to prepare graduates for academic careers, the DBA, by virtue of its focus on application of theory, has more practical application in managerial settings than the PhD.

Course Assignment

Textbook readings and presentations

Course Requirements Checklist

After reading the Course Syllabus and Student Expectations , the student will complete the related checklist found in the Course Overview.

Discussions (9)

Discussions are collaborative learning experiences. Therefore, this course requires 9 distinct Discussions. The specific requirements, point weights, grading rubrics, and due dates are listed in the Course Content section of Canvas.

Quantitative Assignments (8)

This course requires 8 distinct Quantitative Assignments. The specific requirements, point weightings, grading rubrics, and due dates are listed in the Course Content section of Canvas.

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Short courses

Introduction to Research Methods and Statistics

• 9:30am to 5pm
• Next start date: 8 Apr 2024

Book a place

• 08 April 2024 Book now

This five-day short course will give you a comprehensive introduction to the fundamental aspects of research methods and statistics . It's suitable for those new to quantitative research.

You'll look at topics ranging from study design, data type and graphs through to choice and interpretation of statistical tests - with a particular focus on standard errors, confidence intervals and p-values.

This course takes place over five days (9:30am to 5pm).  

This course is delivered by UCL's Centre for Applied Statistics Courses (CASC), part of the UCL Great Ormond Street Institute of Child Health (ICH).

Course content

During this basic introductory course in research methodology and statistical analyses you'll cover a variety of topics.

This is a theory-led course, but you'll be given plenty of opportunities to apply the concepts via practical and interactive activities integrated throughout.

The topics covered include:

• Introduction to quantitative research
• Research question development
• Study design, sampling and confounding
• Types of data
• Graphical displays of data and results
• Summarising numeric and categorical data
• Numeric and categorical differences between groups
• Hypothesis testing
• Confidence intervals and p-values
• Parametric statistical tests
• Non-parametric tests
• Bootstrapping
• Regression analysis

Many examples used in the course are related to health research, but the concepts you'll learn about can be applied to most other fields.

Eligibility

The course is suitable for those new to quantitative research.

Learning outcomes

By the end of this course you should have a good, practical understanding of:

• research design considerations (question formulation, sample selection and randomisation, study design, and research protocols)
• data types, and appropriate summaries and graphs of samples and differences
• standard errors, confidence intervals and p-values
• parametric and nonparametric assumptions and tests
• how to select an appropriate statistical test

Cost and concessions

The fees are:

• External delegates (non UCL) - £750
• UCL staff, students, alumni - £375*
• ICH/GOSH staff and doctoral students - free

* valid UCL email address and/or UCL alumni number required upon registration.

Certificates

You can request a certificate of attendance for all of our courses once you've completed it. Please send your request to [email protected]

Include the following in your email:

• the name of the completed course for which you'd like a certificate
• how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)

Cancellations

Read the cancellation policy for this course on the ICH website. Please send all cancellation requests to  [email protected]

Find out about CASC's other statistics courses

CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.

Find out more about CASC's full range of statistics courses , and the continuing statistics training scheme (book six one-day courses and get a seventh free.)

Course team

Dr Eirini Koutoumanou

Eirini has a BSc in Statistics from Athens University of Economics and Business and an MSc in Statistics from Lancaster University (funded by the Engineering and Physical Sciences Research Council). She joined UCL GOS Institute of Child Health in 2008 to develop a range of short courses for anyone interested in learning new statistical skills. Soon after, CASC was born. In 2014, she was promoted to Senior Teaching Fellow. In 2019, she successfully passed her PhD viva on the topic of Copula models and their application within paediatric data. Since early 2020 she has been co-directing CASC with its founder, Emeritus Professor Angie Wade, and has been the sole Director of CASC since January 2022. Eirini was promoted to Associate Professor (Teaching) with effect from October 2022.

Dr Chibueze Ogbonnaya

Since joining the teaching team at CASC in February 2019, Chibueze has contributed to the teaching and development of short courses. He currently leads and co-leads short courses on MATLAB, missing data, regression analysis and survival analysis. Chibueze has a BSc in Statistics from the University of Nigeria, where he briefly worked as a teaching assistant after graduation. He then moved to the University of Nottingham for his MSc and PhD in Statistics. His research interests include functional data analysis, applied machine learning and distribution theory.

Dr Catalina Rivera Suarez

Catalina has been an Associate Lecturer (Teaching) at CASC since January 2021. She has a PhD in Psychology and an MSc in Applied Statistics from Indiana University. She’s passionate about teaching courses in research methods, statistics, and statistical software. Catalina’s research focuses on studying how caregivers support the development of children's attentional control and language. She implements multilevel modeling techniques to investigate the moment-to-moment dynamics of shared joint visual engagement, as well as the quality of the language input, influencing infant learning and sustained attention at multiple timescales.  

Dr Manolis Bagkeris

Manolis has a BSc in Statistics and Actuarial-Financial Mathematics from the University of the Aegean and an MSc in Medical Statistics from the Athens University of Economics and Business (AUEB). He’s worked as a research assistant at University of Crete, UCL and Imperial College London. He’s been working at CASC since November 2021, providing short courses in research methods and statistics for people who want to develop or enhance their knowledge in interpreting and undertaking their own research. His interests include paediatric epidemiology, clinical and population health, HIV, mental health and development. He was awarded a PhD from UCL in 2021 on the topic of frailty, falls, bone mineral density and fractures among HIV-positive and HIV-negative controls in England and Ireland.

"All sessions were exceptionally organised and presented in a clear and engaging style. The lecturers were incredibly knowledgeable and flexible and patient to the different levels of understanding in the room. The key concepts of making inferences set out at the beginning and carried throughout were especially helpful.

"Explaining the visual representation of data was very useful, as was having examples in the workbooks to learn from and 'correct'."

"The most memorable session for me was the one about significance testing. I am sure it will be very useful in my practice."

Course information last modified: 25 Mar 2024, 09:38

Length and time commitment

• Time commitment: 9:30am to 5pm
• Course length: 5 days
• 238: ICH, Wellcome Trust Building, 30 Guildford Street, London, WC1N 1EH, United Kingdom

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• CASC Short Course Administrator
• [email protected]
• 020 7905 2768 (registration, payment), or 07730 405 980 (course specifics)

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Certificate in Mixed Methods Research Online

Graduate certificate code:  ctmmrg.

Program Overview

Ohio University is proud to offer the only online certificate in mixed methods research in the state of Ohio.

The Online Certificate in Mixed Methods Research is designed to prepare students to become effective users who can utilize mixed methods in practice.  Mixed methods systematically integrate quantitative and qualitative approaches to research in order to answer research questions and provide opportunities for the inclusion of a variety of theoretical perspectives. 

There is a growing demand for working professionals in academia and industry who can rigorously integrate qualitative and quantitative research methods and data to address complex issues. This methodology is applicable to any field requiring research into human behavior. The approach is gaining popularity across all fields of study, including health and social sciences, business, liberal arts, and education.

Since mixed methods emerged in the 1980s, the value of using them to solve real-world problems has been well recognized, and scholars across countries and disciplines have widely adopted this methodology, including health science, sociology, psychology, nursing, education, management, etc.  In addition to the researchers in diverse disciplines, the number of graduate students who have conducted mixed-methods theses and dissertations has also dramatically spawned in the past decades. 

This online certificate is available to non-degree seeking students, typically working professionals and graduate students who wish to expand their knowledge and expertise in mixed methods. This certificate requires 9 credit hours, including two 4-credit hour courses and one 1-credit hour practicum for a mixed methods research project.  Students can complete this certificate in as little as one year.

Students should complete this certificate by sequentially taking EDRE 7700 and EDRE 7710.  Students can take EDRE 6920 simultaneously with EDRE 7710 after completion of EDRE 7700.

We offer the certificate in a 100% online format to optimize flexibility and convenience for students from a broad geographic area, including flexible synchronous office hours with instructors and asynchronous lectures.

Through completion of this certificate, students can gain applied knowledge of how to design, conduct, and evaluate mixed methods research, how to use mixed methods to inform a meaningful intervention, and how to write a mixed-methods grant proposal.  This certificate prepares professionals with the knowledge, skills, and experiences to work independently and collaboratively in mixed methods research community. 

Career Opportunities

Certificate holders can pursue opportunities in government, higher education, and industry job markets. For example, a recent search for "mixed methods" on LinkedIn returned 1,623 results from companies such as Meta, TikTok, Amazon, Apple, IBM, and Microsoft, as well as higher education institutions. Posted job titles included "Mixed Methods Leader," "Lead Usability Researcher (Mixed-Methods)," and “UX Researcher – Mixed Method.”  Most of these positions require an undergraduate degree and specify the requirement of mixed methods research experience.  Our certificate is a perfect fit for researchers who hold undergraduate degrees and desire to gain knowledge and expertise in mixed methods without the need to seek a graduate degree. 

You can present your mixed methods projects at the academic conferences held by Mixed Methods International Research Association (MMIRA) and American Educational Research Association (AERA) – Mixed Methods Research SIG.  You can publish your mixed methods research papers in methodological journals such as the Journal of Mixed Methods Research , the International Journal of Multiple Research Approaches , and other journals in your specific disciplines.

Tuition and Financial Aid

Information on tuition and fees is maintained by the Office of the Bursar and is available on their website  under the heading OHIO Online (eCampus) Graduate Tuition. 

Admission Information

Students need to have essential research experience in qualitative and quantitative methods to apply for the Certificate in Mixed Methods Research because this certificate program will not cover the topics of qualitative or quantitative research but focuses solely on how to design and implement effective integration of qualitative and quantitative methods and data. The evidence could be a transcript of research courses that cover the topics of qualitative and quantitative research methods, and research projects that used qualitative and/or quantitative methods. You also may wish to support your application by supplying recommendation letters that support your expertise in qualitative and quantitative research.

No GRE is required. Applicants should submit an online non-degree application , official undergraduate transcripts, and proof of English proficiency (required for those who are not native English speakers) to the Graduate College at Ohio University.

The first-priority deadline to apply for Fall Semester is July 15. 

Contact Information

Dr. Yuchun Zhou Associate Professor Program Coordinator Patton Hall 302G 740.597.3370 [email protected]  or [email protected]