References

n.d.a. http://www.bristol.ac.uk/cmm/learning/online-course.
———. n.d.b. https://www.multibugs.org/.
Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2022. Rmarkdown: Dynamic Documents for r. https://CRAN.R-project.org/package=rmarkdown.
Beretvas, S. Natasha. 2011. “Cross-Classified and Multiple-Membership Models.” In Handbook for Advanced Multilevel Analysis, 313–34. Routledge Taylor; Francis Group.
Browne, W. J. 2022. MCMC Estimation in MLwiN V3.06. Centre for Multilevel Modelling, University of Bristol.
Browne, William J., Harvey Goldstein, and Jon Rasbash. 2001. “Multiple Membership Multiple Classification.” Statistical Modelling 1: 103–24.
Charlton, C., J. Rasbash, W. J. Browne, M. Healy, and B. Cameron. n.d. MLwiN Version 3.06. Centre for Multilevel Modelling, University of Bristol.
Chung, Hyewon, and S. Natasha Beretvas. 2012. “The Impact of Ignoring Multiple Membership Data Structures in Multilevel Models.” British Journal of Mathematical and Statistical Psychology 65: 185–200.
Enders, Craig K. 2013. “Centering Predictors and Contextual Effects.” In The SAGE Handbook of Multilevel Modeling, 89–108. SAGE Publications Inc. https://doi.org/10.4135/9781446247600.n6.
Gero, Krisztina, Hiroyuki Hikichi, Jun Aida, Katsunori Kondo, and Ichiro Kawachi. 2020. “Associations Between Community Social Capital and Preservation of Functional Capacity in the Aftermath of a Major Disaster.” American Journal of Epidemiology 189: 1369–78.
Goudie, R. J. B., R. M. Turner, D. De Angelis, and A. Thomas. 2020. “MultiBUGS: A Parallel Implementation of the BUGS Modelling Framework for Faster Bayesian Inference.” Journal of Statistical Software 95.
Heck, Ronald H., Tingting Reid, and George Leckie. 2022. “Incorporating Student Mobility in Studying Academic Growth in Math: Comparing Several Alternative Multilevel Formulations.” School Effectiveness and School Improvement 33: 516–43.
Hill, Peter, and Harvey Goldstein. 1998. “Multilevel Modeling of Educational Data with Cross-Classification and Missing Identification for Units.” Journal of Educational and Behavioral Statistics 23: 117–28.
Leckie, George. 2013a. Cross-Classified Multilevel Models - Stata Practical. LEMMA VLE Module 12.
———. 2013b. Multiple Membership Multilevel Models - Concepts. LEMMA VLE Module 13, p. 1-57.
Leroux, Audrey J. 2019. “Student Mobility in Multilevel Growth Modeling: A Multiple Membership Piecewise Growth Model.” The Journal of Experimental Education 87: 430–48.
Ma, Xin, Yin Zhang, and Xingkai Luo. 2021. “Students’ and Teachers’ Critical Thinking in Science Education: Are They Related to Each Other and with Physics Achievement?” Research in Science and Technological Education. https://doi.org/10.1080/02635143.2021.1944078.
Smith, Lindsey J. Wolff, and S. Natasha Beretvas. 2017. “A Comparison of Techniques for Handling and Assessing the Influence of Mobility on Student Achievement.” The Journal of Experimental Education 85: 3–23.
Snijders, T. A. B., and R. J. Bosker. 2012. “The Random Intercept Model.” In Multilevel ANalysis: An Introduction to Basic and Advanced Multilevel Modeling, 41–73. SAGE Publications Inc.
Wickham, Hadley. 2021. Tidyverse: Easily Install and Load the Tidyverse. https://CRAN.R-project.org/package=tidyverse.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2022. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.
Xie, Yihui. 2022. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.
———. 2023. Bookdown: Authoring Books and Technical Documents with r Markdown. https://CRAN.R-project.org/package=bookdown.
Yanagida, Takuya. 2023. Misty: Miscellaneous Functions t. Yanagida. https://CRAN.R-project.org/package=misty.
Zhang, Zhengzheng, Chris Charlton, Richard Parker, George Leckie, and William Browne. 2023. R2MLwiN: Running MLwiN from Within r. https://CRAN.R-project.org/package=R2MLwiN.