title: SPSS and SAS programs for addressing interdependence and basic levels-of-analysis issues in psychological data.
abstract: Levels-of-analysis issues arise whenever individual-level data are collected from more than one person from the same dyad, family, classroom, work group, or other interaction unit. Interdependence in data from individuals in the same interaction units also violates the independence-of-observations assumption that underlies commonly used statistical tests. This article describes the data analysis challenges that are presented by these issues and presents SPSS and SAS programs for conducting appropriate analyses. The programs conduct the within-and-between-analyses described by Dansereau, Alutto, and Yammarino (1984) and the dyad-level analyses described by Gonzalez and Griffin (1999) and Griffin and Gonzalez (1995). Contrasts with general multilevel modeling procedures are then discussed.
authors.affiliation: Department of Psychology, Lakehead University, 955 Oliver Road, Thunder Bay, ON, P7B 5E1 Canada. brian.oconnor@lakeheadu.ca
authors.forename: Brian P
authors.initials: BP
authors.lastname: O'Connor
mesh_terms: D000704:Analysis of Variance; D003627:Data Interpretation, Statistical; D006801:Humans; D008432:Mathematical Computing; D008960:Models, Psychological; D011589:Psychology, Experimental / Q000379:methods* / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D012984:Software; D013223:Statistics as Topic / Q000379:methods*