Constrained Stochastic Extended Redundancy Analysis

Wayne DeSarbo (), Heungsun Hwang (), Ashley Stadler Blank () and Eelco Kappe ()

Psychometrika, 2015, vol. 80, issue 2, 516-534

Abstract: We devise a new statistical methodology called constrained stochastic extended redundancy analysis (CSERA) to examine the comparative impact of various conceptual factors, or drivers, as well as the specific predictor variables that contribute to each driver on designated dependent variable(s). The technical details of the proposed methodology, the maximum likelihood estimation algorithm, and model selection heuristics are discussed. A sports marketing consumer psychology application is provided in a Major League Baseball (MLB) context where the effects of six conceptual drivers of game attendance and their defining predictor variables are estimated. Results compare favorably to those obtained using traditional extended redundancy analysis (ERA). Copyright The Psychometric Society 2015

Keywords: redundancy analysis; maximum likelihood estimation; sports marketing; Major League Baseball; consumer psychology (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s11336-013-9385-6

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