O’Connell, A. A., McCoach, D. B., & Bell, B. A. (2022). Multilevel Modeling Methods with Introductory and Advanced Applications. Information Age Press.
Welcome to the companion website for Multilevel Modeling Methods with Introductory and Advanced Applications. To order copies of the book, go to the IAP website.
On this page, you will find supplementary materials (such as syntax and data files) for the following chapters. In addition, we provide links to authors’ free software packages and websites.
Chapter 2– Introduction to Multilevel Models for Organizational Data. Bethany A. Bell & Jason A. Schoeneberger. Access supplementary files here.
Chapter 3– Evaluation of Model Fit and Adequacy. D. Betsy McCoach, Sarah D. Newton, & Anthony J. Gambino. Access supplementary files here.
Chapter 4– Causal Inference in Multilevel Settings. Chris Rhoads & Eva Yujia Li. Access supplementary files here.
Chapter 5– Statistical Power for Linear Multilevel Models. Jessaca Spybrook, Benjamin M. Kelcey, & Nianbo Dong. Access supplementary files here.
- You can find the free PowerUp! software suite to analyze multilevel experiments and quasi-experiments here.
Chapter 6– Cross-Classified Random-Effects Models. Audrey J. Leroux & S. Natasha Beretvas. Access supplementary materials here.
Chapter 7– Multilevel Logistic and Ordinal Models. Ann A. O’Connell, Meng-Ting Lo, Jessica Goldstein, H. Jane Rogers, & C.-Y. Joanne Peng. Access supplemental files here.
Chapter 8– Single and Multilevel Models for Counts. Ann A. O’Connell, Nivedita Bhaktha, & Jing Zhang. Access supplementary materials here.
Chapter 9– Individual Growth Curve Models for Longitudinal Data. D. Betsy McCoach, Bethany A. Bell, & Aarti P. Bellara . Access supplementary materials here.
Chapter 10- Modeling Nonlinear Longitudinal Change With Mixed Effects Models. Jeffrey R. Harring & Shelley A. Blozis. Access supplementary materials here.
Chapter 11– Within-Subject Residual Variance–Covariance Structures in Longitudinal Data Analysis. Minjung Kim, Hsien-Yuan Hsu, & Oi-man Kwok. Access supplementary materials here.
Chapter 12– Modeling Variation in Intensive Longitudinal Data. Donald Hedeker & Robin J. Mermelstein. Access supplementary materials here.
- You can find Don Hedeker’s free software to analyze mixed effects location scale models on his website.
Chapter 13– Using Large-Scale Complex Sample Datasets in Multilevel Modeling. Laura M. Stapleton & Scott L. Thomas. Access supplementary materials here.
Chapter 14– Common Measurement Issues in a Multilevel Framework. Brian F. French, W. Holmes Finch, & Thao Vo. Access supplementary materials here.
Chapter 15– Missing Data Handling for Multilevel Data. Craig K. Enders & Timothy Hayes. Access supplementary materials here.
- Also check out Craig Enders’ website on Missing Data, Applied Missing Data
Chapter 16– Multilevel Mediation Analysis. Nicholas J. Rockwood & Andrew F. Hayes. Access supplementary materials here.
- Here is a link to Andrew Hayes’ website on the PROCESS macro for SPSS, SAS, and R.
Chapter 17– Reporting Results of Multilevel Designs. John M Ferron, Yan Wang, Zhiyao Yi, Yue Yin, Eunsook Kim, & Robert F. Dedrick. Access a copy of the the chapter’s checklist here.