【Syllabus】
■ Syllabus:
https://drive.google.com/file/d/10u4BttcUuC0hMI4mf9RgJXk7RkFUImJw/view?usp=sharing
【Testing Measurement Equivalence/Invariance with R】
■ Learning Objectives
Understand the basic concepts behind measurement equivalence/invariance (ME/I) and the assumptions involved
Compare latent means and indirect effects across groups
Understand measurement invariance issues in longitudinal studies, congruence studies and multi-level confirmatory factor analysis
Application of the new MEI package in R in testing ME/I of second-order factors
■ Suggested Reading
Cheung, G. W., Hu, C., & Zubielevitch, E. (2026). Assessing Partial Measurement Invariance in Cross-Group, Longitudinal, Congruence, and Multilevel Organizational Studies: Introducing the MEI Package in R. Organizational Research Methods. https://doi.org/10.1177/10944281261449198
Cheung, G. W. & Lau, R. S. (2012). A direct comparison approach for testing measurement invariance. Organizational Research Methods, 15, 167-198.
Cheung, G. W., & Roger B. Rensvold. (2002). “Evaluating Goodness-of-Fit Indices for Testing Measurement Invariance”, Structural Equation Modeling Journal, 9(2), 233-255.
Cheung, G. W., & Roger B. Rensvold (1999). “Testing Factorial Invariance Across Groups: A Reconceptualization and Proposed New Method”, Journal of Management, 25(1), 1-27.
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4-70.
■ Numerical Examples
Wu, C., Chen, L. H., & Tsai, Y. (2009). Longitudinal invariance analysis of the satisfaction with life scale. Personality and Individual Differences, 46: 396-401.
Ashford, S. J., & Tsui A. S. (1991). Self-regulation for managerial effectiveness: The role of active feedback seeking. Academy of Management Journal, 34: 251-280.
Gruszczynska, E., Basinska, B. A., & Schaufeli, W. B. (2021). Within- and between-person factor structure of the Oldenburg Burnout Inventory: Analysis of a diary study using multilevel confirmatory factor analysis. PLoS ONE 16(5):e0251257. doi: 10.1371/journal.pone.0251257
【Examining Moderation and Moderated Mediation with R】
■ Learning Objectives
Understand the basic concepts behind moderation and moderated mediation
Application of the modsem package in R for testing various moderation and moderated-mediation hypotheses
Introducing the QML estimator in modsem and the Structural After Measurement (SAM) estimator in lavaan in testing latent interaction
Generate confidence intervals with Monte Carlo Simulation
■ Suggested Reading
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2021). Testing Moderation in Business and Psychological Studies with Latent Moderated Structural Equations. Journal of Business and Psychology, 36 (6), 1009-1033. doi:10.1007/s10869-020-09717-0
Slupphaug K, Mehmetoglu M, Mittner M (2024). “modsem: An R package for estimating latent interactions and quadratic effects.” Structural Equation Modeling: A Multidisciplinary Journal. doi:10.1080/10705511.2024.2417409
■ Numerical Examples
Du, D., Derks, D., Bakker, A.B., & Lu, C. (2018). Does homesickness undermine the potential of job resources? A perspective from the work-home resources model. Journal of Organizational Behavior, 39: 96-112.
Wayne, S. J., Lemmon, G., Hoobler, J. M., Cheung, G. W., & Wilson, M. S. (2017). The ripple effect: A spillover model of the detrimental impact of work-family conflict on job success. Journal of Organizational Behavior, 38, 876-894.
【Examining Multilevel Modeling and Analyzing Daily Diary Data with lavaan】
■ Learning Objectives
Understand the basic concepts behind multilevel organizational and psychological research
Understand the difference between nested data and multilevel theory
Understand multilevel models through hierarchical linear modeling
Test various forms of multilevel data and theory, including cross-level mediation and cross-level moderated mediation with lavaan.
■ Suggested Reading
Fisher, C. D., & To, M. L. (2012) Using experience sampling methodology in organizational behaviour. Journal of Organizational Behavior, 33, 865-877.
González-Romá, V. & Hernández, A. (2017). Multilevel modeling: Research-based lessons for substantive researchers. Annual Review of Organizational Psychology and Organizational Behavior, 4, 183-210.
Lüdtke, O., Marsh. H. W., Robitzsch, A., Trautwein, U., Asparouhov, T. & Muthén, B. (2008). The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies. Psychological Methods, 13(3), 203-229.
Preacher, K. J., Zyphur, M. J., & Zhang, Z. (2010). A general multilevel SEM framework for assessing multilevel mediation. Psychological Methods, 15, 209-233.
■ Numerical Examples
Lau, R. S., Cheung, G. W., & Cooper–Thomas, H. D. (2021). The influence of dispositions and shared leadership on team–member exchange. Journal of Managerial Psychology, 36, 258-271.