Details

Autor(en) / Beteiligte

• Wang, Lijuan (Peggy)
• Maxwell, Scott E
• Harlow, Lisa L

Titel

On Disaggregating Between-Person and Within-Person Effects With Longitudinal Data Using Multilevel Models

Ist Teil von

• Psychological methods, 2015-03, Vol.20 (1), p.63-83

Ort / Verlag

United States: American Psychological Association

Erscheinungsjahr

2015

Link zum Volltext

Quelle

PsycARTICLES

Beschreibungen/Notizen

• This article extends current discussion of how to disaggregate between-person and within-person effects with longitudinal data using multilevel models. Our main focus is on the 2 issues of centering and detrending. Conceptual and analytical work demonstrates the similarities and differences among 3 centering approaches (no centering, grand-mean centering, and person-mean centering) and the relations and differences among various detrending approaches (no detrending, detrending X only, detrending Y only, and detrending both X and Y). Two real data analysis examples in psychology are provided to illustrate the differences in the results of using different centering and detrending methods for the disaggregation of between- and within-person effects. Simulation studies were conducted to further compare the various centering and detrending approaches under a wider span of conditions. Recommendations of how to perform centering, whether detrending is needed or not, and how to perform detrending if needed are made and discussed.