Analysis and evaluation of moderator effects in regression models: state of art, alternatives and empirical example

Helm, Roland and Mark, Antje (2012) Analysis and evaluation of moderator effects in regression models: state of art, alternatives and empirical example. REVIEW OF MANAGERIAL SCIENCE, 6 (4). pp. 307-332. ISSN 1863-6683,

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Abstract

The identification and analysis of moderator relationships regularly confronts the empirical research with statistical and methodical challenges. Which misinterpretations and false conclusions result from different methodical procedures for the identification of moderator effects shall be demonstrated by means of the present contribution. Thereby, the moderated regression analysis represents the most popular procedure in this context.

Item Type: Article
Uncontrolled Keywords: MULTIPLE-REGRESSION; TESTING MODERATOR; COEFFICIENT-ALPHA; VARIABLES; MEDIATION; PSYCHOLOGY; ISSUES; POWER; MULTICOLLINEARITY; ERRORS; Regression analysis; Moderator effect; Statistical methods; Empirical research
Subjects: 300 Social sciences > 330 Economics
Divisions: Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Betriebswirtschaft, insbesondere Strategisches Industriegütermarketing (Prof. Dr. Roland Helm)
Depositing User: Dr. Gernot Deinzer
Date Deposited: 06 May 2020 04:46
Last Modified: 06 May 2020 04:46
URI: https://pred.uni-regensburg.de/id/eprint/18059

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