Research Methods Education Program (RMEP)
Overview
CARMA’s Research Methods and Education Program (RMEP) has been designed to provide a comprehensive educational experience for doctoral students and faculty. RMEP is based on assessments of learning for our webcast lectures, panel sessions, and short courses. Material covers a variety of quantitative and qualitative topics at introductory and advanced levels. A key objective of RMEP is to reward CARMA participants for their efforts at learning research methods.
Using assessments, participants verify their knowledge of key concepts through short multiple-choice quizzes. As each Assessment is successfully completed, the accomplishment will be recorded on the participant’s RMEP Gradebook. Participants may also receive Digital Badges based on the completion of assessments.
RMEP Assessments will be grouped by the following Modules:
Assessment Module now available:
- 2023-2024 Webcast Lectures
- Incentive Program:
Faculty and student members who complete these modules can receive a $100 discount on one 2023-2024 Short Course registration fee. This discount can be earned by completion of ten 2023-2024 Webcast Lecture assessments throughout the year. Each assessment must be completed immediately after viewing either the live lecture or the recording from the Video Library within 7 days of the live lecture. Assessments will be available immediately following each lecture on the respective Webcast Lecture page. Contact us at carma@ttu.edu for further information or if you have any questions.
- Incentive Program:
Assessments Modules coming soon:
- Basic of Research Methods
- Correlation/Regression
- Survey Measurement
- Qualitative Methods
- Methods for Strategy Research
- Structural Equation Methods
- Innovations in Methods and Analysis
Basics of Research Methods Collection:
Correlation/Regression Collection:
| Video | Presenter | Assessment – Coming Soon | ||
| Big Data Analytics | Dr. Fred Oswald | |||
| Effect Sizes for Categorical Moderation | Dr. Chris Nye | |||
| Extending Methods for Integrating Moderation and Mediation | Dr. Jeff Edwards | |||
| Interpreting Interaction Effects | Dr. Jeremy Dawson | |||
| Interpreting Results with Practical Significance in Mind: An Overview of the Common Language Effect Size Indices | Dr. Dina Krasikova | |||
| Introduction to Casual Mediation Analysis | Dr. David Mackinnon | |||
| Modern Prediction Methods | Dr. Dan Putka | |||
| Multiple Linear Regression: Strengthening Conceptual Knowledge and Practical Skills | Dr. Fred Oswald | |||
| Omitted Variable Bias | Dr. Mike Withers | |||
| Panel Data: Methodological Framework and Analytic Tools | Dr. Paul Bliese | |||
| Power Analysis with Regression Models: Sample Size Planning for Power and Accuracy | Dr. Samantha Anderson | |||
| Restricted Variance Interactions | Dr. Jose Cortina |
Survey Measurement Collection:
| Video | Presenter | Assessment – Coming Soon | ||
| A Tutorial on the Causes, Consequences, and Remedies for Common Method Biases | Dr. Nathan Podsakoff | |||
| Confirmatory Factor Analysis Application with R-lavaan | Dr. Jason Huang | |||
| Construct Mixology: Forming New Management Constructs by Combining Old Ones | Dr. Dan Newman | |||
| Continuum Specification in Construct Validation: A Proposal and Call for Research | Dr. Louis Tay | |||
| Event Sampling Methods | Dr. Allison Gabriel | |||
| Insufficient Effort Responding: Impact in Survey Data and Approaches for Detection | Dr. Lisa Harlow | |||
| Quantifying Content Validity | Dr. Jason Colquitt | |||
| Recommendations for Discouraging, Identifying, and Removing Dirty Data in Survey Research | Dr. Justin DeSimone | |||
| Scale Adaptation In The Organizational Sciences | Dr. Eric Heggestad | |||
| Understanding and Detecting Careless Responding in Survey Research | Dr. Adam Meade |
Qualitative Methods Collection:
| Video | Presenter | Assessment – Coming Soon | ||
| Coding for Discovery | Dr. Karen Locke | |||
| Content Analysis for Macro Research | Dr. Rhonda Reger | |||
| Grounded Theory/Discourse Analysis | Dr. Gail Fairhurst | |||
| Joy of Coding – Coming March 2024 | ||||
| Process Research | Dr. Ann Langley | |||
| Qualitative Data Analysis Beyond Templates – How to make your Analytic Approaches Adaptable and Relevant | Dr. Tine Koehler | |||
| Reflexivity in Research Methods: Boundary Theory and the Researcher Role Continuum | Dr. Glen Kreiner | |||
| Rethinking the Qualitative Research Methods Section | Dr. Mike Pratt | |||
| Rigor/Trustworthiness in Qualitative Research | Dr. Elaine Hollensbe | |||
| Text Mining in the Organizational Sciences | Dr. Scott Tonidandel | |||
| The Power of Tools in Qualitative Analysis | Dr. Jane Le |
Methods for Strategy Collection:
| Video | Presenter | Assessment – Coming Soon | ||
| A Framework for Methodologically Rigorous Review Articles | Dr. Zeki Simsek | |||
| Casual Identification through a Cumulative Body of Research in the Study of Strategy and Organizations | Dr. Myles Shaver | |||
| Extending Methods for Integrating Moderation and Mediation | Dr. Jeff Edwards | |||
| Mixed Methods in Strategy and Organizations Research | Dr. Scott Turner | |||
| Multiverse Analysis: A tool to Estimate, Illustrate, and Investigate the Impact of Researcher Degrees of Freedom | Dr. Aaron Hill | |||
| Network Analysis | Dr. Mike Howard | |||
| Omitted Variable Bias | Dr. Mike Withers | |||
| Panel Data | Dr. Glenn Hoetker | |||
| Verifying Empirical Research Findings | Dr. Don Bergh | |||
| Writing our Way out of the Reliability Crisis in Strategy | Dr. Brent Goldfarb |
Structural Equation Methods Collection:
| Video | Presenter | Assessment – Coming Soon | ||
| Causal Indicators and Measurement Models | Dr. Ken Bollen | |||
| Conducting Meta-Analytic Structural Equation Modeling with R | Dr. Mike Cheung | |||
| Confirmatory Factor Analysis Application with R-lavaan | Dr. Lisa Harlow | |||
| Interactions in Latent Variable Models | Dr. Jose Cortina | |||
| Latent Difference Score Models | Dr. Robert Vandenburg | |||
| Longitudinal Structural Equation Modeling | Dr. Le Zhou | |||
| Parcel Indicators in SEM | Dr. Todd Little | |||
| Partial Least Squares Structural Equation Modeling | Dr. Joe Hair | |||
| Structural Equation Models for Cooperative Small Group Context: The Interplay of theory and Method in Goal-Directed Behavior | Dr. Richard Bagozzi | |||
| Structural Equation Models for Experimental Designs | Dr. Heiko Breitsohl | |||
| Testing Causal Hypotheses: Precisely Formulating Causal Hypotheses to Maximize Testability | Dr. Keith Markus |
Innovations in Methods and Analysis Collection:
| Video | Presenter | Assessment – Coming Soon | ||
| Big Data Analytics | Dr. Fred Oswald | |||
| Big Data Concepts | Dr. Sang Woo | |||
| Creating Datasets with Social Media | Dr. Richard Landers | |||
| Event Sampling Methods | Dr. Allison Gabriel | |||
| Methods for Collecting and Analyzing Data from Zoom Meetings | Dr. Andrew Knight | |||
| Modern Prediction Methods | Dr. Dan Putka | |||
| Multiple Imputation for Complex Organizational Data Structures | Dr. Craig Enders | |||
| Neuroscience Methods and Organizational Research | Dr. David Waldman | |||
| On the Use of Spline Regression in the Study of Congruence in Organizational Research | Dr. Jeff Edwards | |||
| The Promise and Perils of Wearable Sensors in Organizational Research | Dr. John Hollenbeck | |||
| Variation into Elevation: Diversity Paradigms for Explaining Team and Organizational Outcomes | Dr. David Harrison | |||
| Video-Based Research Methods | Dr. Curtis Lebaron |
