Welcome to the CARMA Video Library Directory
| Title | Presenter(s) | Date Recorded |
| Combining Case Study Designs for Rigorous Research | Lakshmi Nair | Spring 2025 |
| Linguistic Methods and the Study of Management | Nelson Phillips | Spring 2025 |
| Qualitative Research for Maximum Impact | Kevin Corley | Spring 2025 |
| Topic Modeling in Management Research | Timothy Hannigan | Spring 2025 |
| Qualitative Research: Looking Back/Forward | Mike Pratt | Fall 2024 |
| Joy of Coding Data | Anne Smith | Spring 2024 |
| Guidance for Qualitative Dissertations | Elaine Hollensbe, Gail Fairhurst, Teresa Cardador, Heather Vough | Fall 2023 |
| The Power of Tools in Qualitative Analysis | Jane Le | Spring 2023 |
| Qualitative Data Analysis Beyond Templates: How to make your Analytic Approaches Adaptable and Relevant | Tine Koehler | Fall 2022 |
| Rigor/Trustworthiness in Qualitative Research | Elaine Hollensbe | Spring 2022 |
| Reflexivity in Research Methods: Boundary Theory and the Researcher Role Continuum | Glen Kreiner | Fall 2020 |
| Grounded Theory/Discourse Analysis | Gail Fairhurst | Spring 2020 |
| Rethinking the Qualitative Research Methods Section | Mike Pratt | Spring 2019 |
| Coding for Discovery | Karen Locke | Spring 2018 |
| Fuzzy Set Qualitative Comparative Analysis | Peer Fiss | Spring 2016 |
| Content Analysis | Mike Pfarrer | Fall 2015 |
| Title | Presenter(s) | Date Recorded |
| Best Practices for Using Matched Sample Designs to Reduce Selection Effects | Don Bergh | Spring 2025 |
| Measurement of Firm Performance | Trevis Certo | Fall 2023 |
| Writing our Way out of the Reliability Crisis in Strategy | Brent Goldfarb | Spring 2023 |
| Omitted Variable Bias | Mike Withers | Spring 2022 |
| Content Analysis for Macro Research | Rhonda Reger | Spring 2021 |
| Network Analysis – | Mike Howard | Spring 2021 |
| Casual Identification through a Cumulative Body of Research in the Study of Strategy and Organizations | Myles Shaver | Spring 2019 |
| Verifying Empirical Research Findings | Don Bergh | Spring 2018 |
| Mixed Methods in Strategy and Organizations Research | Scott Turner | Spring 2017 |
| The When and Why of Effects: Moderation and Mediation in Strategic Management Research | Herman Aguinis | Fall 2016 |
| Title | Presenter(s) | Date Recorded |
| AI & ML | Richard Landers, Louis Tay, Tianjun Sun | Spring 2025 |
| Leveraging AI in the Research Process | Chelsea Song, Ivan Hernandez, Sima Sajjadiani | Spring 2025 |
| Machine Learning | Andrew Speer | Spring 2024 |
| Creating Data Sets for Instruction: Examples with ChatGPT; JASP; and Jamovi | Justin DeSimone, Matt Howard, Misty Sabel | Fall 2023 |
| TIG Ask the Experts-Big Data | Fred Oswald, Andrew Speer, Chelsea Song, Louis Hickman | Spring 2023 |
| Big Data Analytics | Fred Oswald | Fall 2019 |
| Big Data Concepts | Sang Woo | Fall 2019 |
| Creating Datasets with Social Media | Richard Landers | Fall 2017 |
| Statistical Analysis with Big Data | Fred Oswald | Fall 2015 |
| Title | Presenter(s) | Date Recorded |
| Open Science and Pre-Registration | Roman Briker | Spring 2025 |
| Replication Studies and Doctoral Training | Andreas Schwab, Jose Cortina, Xavier Martin | Spring 2024 |
| SIOP – Open Science Panel – Part 1 | Mike Morrison, Christopher Castille, George Banks | Fall 2019 |
| A framework for constructive replication in the organizational sciences | Tine Koehler | Spring 2019 |
| Responsible Research in Business and Management (RRBM) Network | Anne Tsui, Bill Glick, Jerry Davis | Spring 2019 |
| Responsible Research Initiative | Stewart Miller, Agnieszka Chidlow, Catherine Welch, Bo Nielsen | Spring 2019 |
| Robust and Reliable Research (SIOP) | Steven Rogelberg, Fred Oswald, Ron Landis, George Banks | Fall 2018 |
| Title | Presenter(s) | Date Recorded |
| Causal Design | Kyle Bradley, Ben Lewis, Andrew Loignon | Spring 2025 |
| Conducting Mixed Methods Research | Viswanath Venkatesh | Fall 2024 |
| Mixed Methods Research: Integrating Qualitative and Quantitative Methods | Jose Azorin | Fall 2024 |
| Theoretical Triangulation | Joep Cornelissen | Fall 2024 |
| Mixed Methods | Thomas Greckhamer, Jose Azorin, Scott Turner | Spring 2024 |
| Virtual Reality Methods for Management | Ithai Stern, Tim Hubbard, Abraham Varghese | Spring 2024 |
| Fit of Data in Scientific Inquiry | Agnieszka Chidlow | Fall 2023 |
| Mixing and Matching Methods for Purpose | John Mathieu | Fall 2022 |
| A Framework for Methodologically Rigorous Review Articles | Zeki Simsek | Spring 2022 |
| Mixed Methods Workshop | Howard Jean-Dennis | Spring 2022 |
| Triangulation and Using Multiple Methods | Yihao Liu, Jessica Rodell, Andrew Knight, Elizabeth Campbell | Spring 2022 |
| Best-Practice Recommendations for Producers; Evaluators; and Users of Methodological Literature Reviews | Herman Aguinis | Fall 2021 |
| Funding at NIH: Topics; Processes; Research Methods | Lillian Eby | Fall 2021 |
| How to Use Storytelling in Academic Writing: The Roles of the Methods and Results Sections | Tim Pollock | Fall 2021 |
| Electronic Confederates in Experimental Research | Keith Leavitt | Fall 2020 |
| Neuroscience Methods and Organizational Research | David Waldman | Spring 2020 |
| Addressing the “Too Much Theory” Problem in Management Research: Abductive Reasoning and the Role of Academy of Management Discoveries | Peter Bamberger | Spring 2019 |
| Questionable Research Practices | George Banks | Fall 2017 |
| Video-Based Research Methods | Curtis Lebaron | Spring 2016 |
| Inductive Research Approaches | Paul Spector | Fall 2015 |
| Title | Presenter(s) | Date Recorded |
| A Tutorial on Conducting Computer Simulation for Research and Teaching | Michael Sturman | Spring 2025 |
| Publishing High-Impact Meta-Analyses: An Editor’s Perspective | Rong Su | Spring 2025 |
| Bayesian Analysis | Andreas Schwab | Spring 2024 |
| Endogeneity | Aaron Hill, Sarah Wolfolds, Lindsey Greco | Fall 2023 |
| Advances in Data Analysis Approaches | Chelsea Song, Jeremy Short, Stine Grodal | Spring 2023 |
| Multiverse Analysis: A tool to Estimate; Illustrate; and Investigate the Impact of Researcher Degrees of Freedom | Aaron Hill | Fall 2022 |
| Disentangling Effect Size Heterogeneity in Meta-analysis: A Latent Mixture Approach | Mo Wang | Spring 2022 |
| Null and Equivalence Hypothesis Testing | Jeff Stanton | Fall 2020 |
| Social Network Analysis | Richard DeJordy, Stephen Borgatti | Spring 2019 |
| Systematic Reviews/Meta-Analysis | Ernest O’Boyle, Justin DeSimone, Micheal Brannick | Spring 2019 |
| Overview of Hypothesis Testing and Statistical Methods | Lee Zhou, Fred Oswald | Fall 2018 |
| Why and How to Replace Statistical Significance Tests with Better Methods | Andreas Schwab | Fall 2018 |
| Storytelling Through Statistics | Lisa Lambert | Spring 2018 |
| Testing Causal Hypotheses: Precisely Formulating Causal Hypotheses to Maximize Testability | Keith Markus | Spring 2017 |
| What Moderates Moderators? A Meta-Analysis of Interactions in Management and Applied Psychology Research | Ernest O’Boyle | Spring 2016 |
| Title | Presenter(s) | Date Recorded |
| Multicollinearity in Regression Analysis | Arturs Kalnins | Spring 2025 |
| Nuisance of Control Variables | Paul Hünermund | Spring 2024 |
| Advanced Interactions in Regression | Jeremy Dawson | Fall 2023 |
| Interpreting Results with Practical Significance in Mind: An Overview of the Common Language Effect Size Indices | Dina Krasikova | Spring 2023 |
| Multiple Linear Regression: Strengthening Conceptual Knowledge and Practical Skills | Fred Oswald | Fall 2022 |
| Power Analysis with Regression Models: Sample Size Planning for Power and Accuracy | Samantha Anderson | Fall 2021 |
| Advanced Regression Analysis | Kevin Murphy, Chelsea Song, Thomas Becker | Fall 2020 |
| Effect Sizes for Categorical Moderation | Chris Nye | Spring 2019 |
| Modern Prediction Methods | Dan Putka | Spring 2019 |
| Interpreting Interaction Effects | Jeremy Dawson | Fall 2018 |
| Restricted Variance Interactions | Jose Cortina | Fall 2018 |
| Extending Methods for Integrating Moderation and Mediation | Jeff Edwards | Fall 2017 |
| Analysis of Count Outcomes: Single Level and Multilevel Models for Unclustered and clustered Count Data – Part 2 of 2 | Leona Aiken | Spring 2016 |
| Title | Presenter(s) | Date Recorded |
| Developing Measures for Your Dissertation | Lisa Lambert, David Scheaf, Rong Su | Spring 2025 |
| Measurement and Analysis | Bo Zhang, Justin DeSimone, Donald Schepker | Fall 2024 |
| On-Line Data Collection | Jason Huang, Melissa Keith, Louis Tay | Spring 2024 |
| Questionnaire Measures as IVs | John Antonakis | Spring 2024 |
| Best Practices in Sourcing; Collecting; and Managing Data | Gabriel Sala, Bethany Cockburn, Linus Dahlander | Spring 2023 |
| Methods for Collecting and Analyzing Data from Zoom Meetings | Andrew Knight | Spring 2023 |
| Insufficient Effort Responding: Impact in Survey Data and Approaches for Detection | Jason Huang | Fall 2022 |
| Quantifying Content Validity | Jason Colquitt | Spring 2021 |
| Scale Adaptation In The Organizational Sciences | Eric Heggestad | Spring 2020 |
| Construct Development and Validation in Three Practical Steps: Recommendations for Reviewers; Editors; and Authors | Dan Newman, Lisa Lambert | Spring 2019 |
| Zooming Into the Boardroom: Design; Instruments & Measurement | Amedeo Pugliese | Spring 2019 |
| Best Practices in Data Collection and Preparation: Recommendations for Reviewers; Editors; and Authors | Herman Aguinis | Fall 2018 |
| Design and Measurement with Quantitative and Qualitative Data | Rhonda Reger, Lisa Lambert | Fall 2018 |
| Text Mining in the Organizational Sciences | Scott Tonidandel | Fall 2018 |
| Recommendations for Discouraging; Identifying; and Removing Dirty Data in Survey Research | Justin DeSimone | Fall 2019 |
| A Tutorial on the Causes; Consequences; and Remedies for Common Method Biases | Nathan Podsakoff | Spring 2017 |
| Computer Adaptive Assessment of Personality | Fritz Drasgow | Spring 2017 |
| Construct Mixology: Forming New Management Constructs by Combining Old Ones | Dan Newman | Spring 2017 |
| Continuum Specification in Construct Validation: A Proposal and Call for Research | Louis Tay | Spring 2017 |
| Understanding and Detecting Careless Responding in Survey Research | Adam Meade | Fall 2016 |
| Variation into Elevation: Diversity Paradigms for Explaining Team and Organizational Outcomes | David Harrison | Fall 2016 |
| Title | Presenter(s) | Date Recorded |
| Multilevel Analysis | Janaki Gooty, Daniel Beal, James LeBreton | Fall 2024 |
| Data Aggregation: Recommendations for Improving the Clarity; Transparency; and Reproducibility of Multilevel Research | James LeBreton | Fall 2023 |
| Meta-Analyses as a Multi-Level Model | Janaki Gooty | Fall 2021 |
| Design Considerations for Simple and Complex Multilevel Studies | Gilad Chen | Spring 2021 |
| Multilevel Analysis II | Gilad Chen, Paul Bliese, James LeBreton | Spring 2021 |
| Multilevel Analysis I | Paul Bliese, Gilad Chen, Nikos Dimotakis, James LeBreton | Fall 2020 |
| Multiple Imputation for Complex Organizational Data Structures | Craig Enders | Spring 2019 |
| Multilevel Mediation | Zhen Zhang | Spring 2016 |
| Title | Presenter(s) | Date Recorded |
| Methods and Reporting for Latent Variable Interaction Models | Robert Vandenberg | Fall 2024 |
| SEM with Experimental Data | Bert Weijters | Fall 2024 |
| Inference with Directed Acyclical Graphs | Heiko Breitsohl | Spring 2024 |
| Convergent/Discriminant Validity | Mikko Rönkkö | Fall 2023 |
| Interactions in Latent Variable Models | Jose Cortina | Spring 2022 |
| Confirmatory Factor Analysis Application with R-lavaan | Lisa Harlow | Spring 2021 |
| Introduction to Causal Mediation Analysis | David MacKinnon | Spring 2021 |
| Structural Equation Methods (SEM) | David MacKinnon | Spring 2021 |
| Structural Equation Methods (SEM) | Robert Vandenberg, Jose Cortina, Le Zhou, Heiko Breitsohl | Fall 2020 |
| Longitudinal Structural Equation Modeling | Le Zhou | Spring 2020 |
| Conducting Meta-Analytic Structural Equation Modeling with R | Mike Cheung | Fall 2018 |
| Partial Least Squares Structural Equation Modeling (PLS-SEM) | Joe Hair | Fall 2018 |
| Structural Equation Models for Experimental Designs | Heiko Breitsohl | Fall 2018 |
| Causal Indicators and Measurement Models | Ken Bollen | Spring 2018 |
| Condition 9 and 10 Tests of Model Confirmation with SEM Techniques | Larry Williams | Fall 2017 |
| Parcel Indicators in SEM | Todd Little | Fall 2017 |
| Structural Equation Models for Cooperative Small Group Context: The Interplay of theory and Method in Goal-Directed Behavior | Richard Bagozzi | Spring 2017 |
| Latent Difference Score Models | Robert Vandenberg | Fall 2015 |
| Partial Least Squares Path Modeling: Past and Future | Ed Rigdon | Fall 2015 |
| Title | Presenter(s) | Date Recorded |
| Methodological Trends in the Study of Emotions | Allison Gabriel | Fall 2024 |
| Experience Sampling Methods | Joel Koopman | Fall 2023 |
| Panel Data: Methodological Framework and Analytic Tools | Paul Bliese | Fall 2019 |
| Event Sampling Methods | Allison Gabriel | Spring 2019 |
| Experience Sampling Methods | Daniel Beal | Spring 2018 |
| Panel Data | Glenn Hoetker | Spring 2018 |
| Title | Presenter(s) | Date Recorded |
| Responding to Methods/Analysis Issues in Revisions | Patrick Rosopa, Dina Krasikova, Dev Dalal | Fall 2024 |
| What/How for Your Methods Course | Larry Williams, Paul Bliese, Jeff Edwards | Fall 2023 |
| Becoming a Methodologist: How to Build a Career with Research Methods | Default Presenter, Elaine Hollensbe, Janaki Gooty, Rhonda Reger, Lisa Lambert, Anne Smith | Spring 2023 |
| Clearing Methodological Hurdles in the Publication Process: Ask the Editors | Jonas Lang, Beth Bechky, Joachim Henkel | Spring 2023 |
| Designing and Managing Your Dissertation or Large Research Project | Michel Anteby, Ithai Stern, In-Sue Oh | Spring 2023 |
| Methodological Trends in the Review Process | Miles Zachary, Kristen Shockley, Ryan Krause, Tim Quigley | Spring 2023 |
| SMA Replication Workshop | Tine Koehler, Jose Cortina, Xavier Martin, John Mathieu, Heather Berry, Maria Kraimer, Andreas Schwab | Spring 2023 |
| Conducting Impactful Literature Reviews: Getting a Head Start on your Research and Dissertation | Trevor Yu Yang, Zeki Simsek, In-Sue Oh, Piers Steel | Fall 2022 |
| A Method Lens on Developing a Research Pipeline and Research Identity | Bori Csillag, Allison Gabriel, John Stephens, Aaron Hill | Spring 2022 |
| Triumphing in Your Thesis/Dissertation: Aligning Conceptual and Empirical Analysis | Kyle Bradley, John Kammeyer-Mueller, Andrew Nelson, Lisa Lambert | Spring 2022 |
| SMA-CARMA Workshop Series (Method-Related Best Practices in the Publication Process) | Robert Vandenberg, Lisa Lambert, Shaker Zahra | Spring 2022 |
| Association Rules Mining; Bayes and How to Use Markdown | Steve Culpepper, Jeff Stanton, Fred Oswald | Fall 2019 |
| Estimating Within-Group Agreement; Webscraping; Meta-Analysis with Metafor | James LeBreton, Richard Landers, Ernest O’Boyle | Fall 2019 |
| Introduction to R and Table Creation; Exploratory Factor Analysis; Confirmatory Factor Analysis | Scott Tonidandel, Chelsea Song, Lisa Lambert | Fall 2019 |
| Multiple Regression; SEM with LAVAAN; Moderated Regression; Bootstrapping | Robert Vandenberg, Paul Bliese, Ron Landis | Fall 2019 |
| Resources for Writing and Reviewing | John Kammeyer-Mueller, George Banks, Paul Bliese | Fall 2018 |
