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Three essential analytical techniques for the behavioral marketing researcher: Median splits, mean-centering, and mediation analysis

机译:行为营销研究人员的三种基本分析技术:中位数拆分,均值居中和中介分析

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摘要

For the behavioral marketing scholar, experimentation and the analysis of variance are among the most important and frequently relied upon tools of the trade, and many useful texts exist to guide researchers on these topics. This monograph is intended to be a supplemental resource and a helpful guide for conducting three essential analytical techniques that are also frequently useful to the behavioral researcher: (1) we discuss the practice of conducting a median split on a continuous variable to facilitate communication clarity. (2) We demonstrate the practice of centering variables about their means prior to creating product terms to reflect interaction effects in a moderated multiple regression model. (3) We discuss the practice of a mediation analysis to test for the relative impact of direct and indirect effects of predictors on dependent variables.
机译:对于行为营销学者而言,实验和方差分析是最重要且经常依赖于交易工具的工具,并且存在许多有用的教科书来指导研究人员探讨这些主题。本专论旨在作为进行三种基本分析技术的补充资源和有用指南,这些技术也经常对行为研究者有用:(1)我们讨论对连续变量进行中位数拆分的做法,以促进沟通的清晰度。 (2)我们演示了在创建乘积项以在缓和多元回归模型中反映交互作用之前,将变量围绕其均值进行居中的做法。 (3)我们讨论了中介分析的实践,以测试预测变量对因变量的直接和间接影响的相对影响。

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  • 来源
    《Foundations and trends in marketing》 |2014年第2期|1-95QT007|共96页
  • 作者单位

    Owen Graduate School of Management, Vanderbilt University, Nashville, TN, United States;

    Rawls College of Business, Texas Tech University, Lubbock, TX, United States;

    Stetson University, DeLand, FL, United States;

    Owen Graduate School of Management, Vanderbilt University, Nashville, TN, United States;

    Lindner College of Business, University of Cincinnati, Cincinnati, OH, United States;

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  • 入库时间 2022-08-18 01:20:39

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