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Multiple regression in behavioral research by Elazar J. Pedhazur

Multiple regression in behavioral research Elazar J. Pedhazur ebook
Publisher: Wadsworth Publishing
Page: 1072
ISBN: 0030728312, 9780030728310
Format: pdf

Product Description Multiple Regression in Behavioral Research adopts a data-analysis approach to multiple regression. Journal of Personality Applied multiple regression/correlation analysis for the behavioral sciences. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Several assumptions of multiple regression are “robust” to violation (e.g., normal distribution of errors), and others are fulfilled in the proper design of a study (e.g., independence of observations). The data was screened in order to detect missing values and outliers as well as to test for conformity with the assumptions of multiple regression (normality, linearity, and homoscedasticity). Further research examined the relationships between exercise regulations and various motivational consequences (i.e., behavioral intention, effort and importance associated with exercise participation, and current exercise behavior) among university students [5]. Multiple regression in behavioral research. Causes of elder abuse: Caregiver stress versus problem relatives. Fort Worth, TX: Holt, Rinehart, & Winston. Therefore, we will focus on the Since “the presence of measurement errors in behavioral research is the rule rather than the exception” and “reliabilities of many measures used in the behavioral sciences are, at best, moderate” (Pedhazur, 1997, p. New York: Holt, Rinehart & Winston. A cross-cultural analysis of immigrant and host values and acculturation orientations. Multiple regression in behavioral research: Explanation and prediction (2nd ed.).