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Evaluation & the Health Professions
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Applying Readily Accessible Graphical Techniques to Assess Curvilinear Relationships and Detect Outliers

The Case of Protective Family Processes

Richard Spoth

Iowa State University

Seongmo Yoo

Korea University

Rick Kosterman

University of Washington

Chungyeol Shin

Iowa State University

The purpose of this article is to use data from a study ofprotectivefamily processes to illustrate how readily accessible graphical techniques can supplement correlation and regression analyses. Graphical techniques can help to (a) better understand family process data from a descriptive standpoint, (b) minimize erroneous statistical conclusions, and (c) clarify theoretically important relationships among variables. Following a brief description of the substantive area selectedfor illustration of the graphical techniques, data from a study employing multimethod measurement procedures (N = 146) are employed to illustrate two graphical technique applications in the analysis of a predictor (marital quality) of a study outcome variable (parent-child affective quality). Instructions for the application of relevant procedures in SAS and SPSS statistical packages are provided.

Evaluation & the Health Professions, Vol. 20, No. 3, 353-364 (1997)
DOI: 10.1177/016327879702000307
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