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Authors' Reply to Allport and Kerler (2003)

C. T. Bauer College of Business, University of Houston, Melcher Hall 280D, Houston, Texas 77204-6282
MIS, OM & Decision Sciences Department, University of Dayton, 300 College Park, Dayton, Ohio 45469-2130
Richard Ivey School of Business, The University of Western Ontario, 1151 Richmond Street North, London, Ontario, Canada N6A 3K7
Centre for Innovative Management, Athabasca University, 22 Sir Winston Churchill Avenue, St. Albert, Alberta, Canada T8N 1B4
wchin{at}uh.edu
salisbury{at}udayton.edu
agopal{at}ivey.uwo.ca
petern{at}athabascau.ca

We are pleased that our effort has received such interest, and thank the editor for allowing us the opportunity to provide our thoughts regarding the questions raised by Allport and Kerler (A&K) in their research note (2003). A&K's paper has triggered a response on two fronts. The first concerns technical issues specific to our study (Salisbury et al. 2002), and the second is a more general question that would seem implicit in their paper: What is the appropriate balance between theory and data in scale development?

Key Words: Structural Equation Modeling; Confirmatory Factor Analysis; Scale Development
History: This paper was received on August 4, 2003.