caa a22 4500 606242279 CHVBK 20210128101317.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s11336-013-9385-6 doi (NATIONALLICENCE)springer-10.1007/s11336-013-9385-6 Constrained Stochastic Extended Redundancy Analysis [Elektronische Daten] [Wayne DeSarbo, Heungsun Hwang, Ashley Stadler Blank, Eelco Kappe] 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). The Psychometric Society, 2013 redundancy analysis nationallicence maximum likelihood estimation nationallicence sports marketing nationallicence Major League Baseball nationallicence consumer psychology nationallicence DeSarbo Wayne Smeal College of Business, Pennsylvania State University, 16802, University Park, PA, USA aut Hwang Heungsun Department of Psychology, McGill University, H3A 1B1, Montreal, Quebec, Canada aut Stadler Blank Ashley Smeal College of Business, Pennsylvania State University, 16802, University Park, PA, USA aut Kappe Eelco Smeal College of Business, Pennsylvania State University, 16802, University Park, PA, USA aut Psychometrika Springer US; http://www.springer-ny.com 80/2(2015-06-01), 516-534 0033-3123 80:2<516 2015 80 11336 https://doi.org/10.1007/s11336-013-9385-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11336-013-9385-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- DeSarbo Wayne Smeal College of Business, Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 700 1- Hwang Heungsun Department of Psychology, McGill University, H3A 1B1, Montreal, Quebec, Canada aut NATIONALLICENCE 700 1- Stadler Blank Ashley Smeal College of Business, Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 700 1- Kappe Eelco Smeal College of Business, Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 773 0- Psychometrika Springer US; http://www.springer-ny.com 80/2(2015-06-01), 516-534 0033-3123 80:2<516 2015 80 11336