NotesFAQContact Us
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ759785
Record Type: Journal
Publication Date: 2006
Pages: 12
Abstractor: Author
ISSN: ISSN-1076-9986
Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis
Preacher, Kristopher J.; Curran, Patrick J.; Bauer, Daniel J.
Journal of Educational and Behavioral Statistics, v31 n3 p437-448 Win 2006
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been extended to multilevel or hierarchical linear modeling (HLM) and latent curve analysis (LCA). However, conducting these tests and plotting the conditional relations is often a tedious and error-prone task. This article provides an overview of methods used to probe interaction effects and describes a unified collection of freely available online resources that researchers can use to obtain significance tests for simple slopes, compute regions of significance, and obtain confidence bands for simple slopes across the range of the moderator in the MLR, HLM, and LCA contexts. Plotting capabilities are also provided. (Contains 1 table and 2 figures.)
American Educational Research Association. 1230 17th Street NW, Washington, DC 20036-3078. Tel: 202-223-9485; Fax: 202-775-1824; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A