Summary
Structural Equation Modeling (SEM), including Confirmatory Factor Analysis (CFA) is a statistical tool that is becoming increasingly popular in logistics research. The intent of this paper is to demonstrate the application of CFA in logistics research particularly in testing Mentzer et al. (1999) Logistics Service Quality (LSQ) instrument, a scale developed in the United States. This paper displays the value of CFA for scale development and testing with particular reference to dealing with missing data. The study is based on cross-sectoral mail survey of the customers of Third Party Logistics (TPL) providers in the United Kingdom (UK). With some improvement, it demonstrates the generalizability of LSQ scale across industries in the UK.
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7 References
Anderson, J. C., Gerbing, D. W. (1982): Some Methods for Respecifying Measurement Models to Obtain Unidimensional Construct Measurement, in: Journal of Marketing Research, 19: 453–460.
Anonymous (1999): UK Top on Outsourcing, in: Supply Management, 4(14): 13.
Arbuckle, J. L. (1996): Full Information Estimation in the Presence of Incomplete Data, in: Marcoulides, G. A. and Schumacker, R. E. (Eds): Advanced Structural Equation Modeling, Mahwah, NJ: p. 243–277.
Armstrong, J., Overton, T. (1977): Estimating Non-response Bias in Mail Surveys, in: Journal of Marketing Research, 14: 396–402.
Bagozzi, R. P., Yi, Y. (1988): On the Evaluation of Structural Equation Models, in: Journal of Academy of Marketing Science, 16 (Spring): 7–94.
Baumgartner, H., Homburg, C. (1996): Applications of Structural Equation Modeling in Marketing and Consumer Research: A Review, in: International Journal of Research in Marketing, 13: 139–161.
Bentler, P. M. (1990): Comparative Fit Indexes in Structural Models, in: Psychological Bulletin, 107: 238–246.
Bentler, P. M., Bonett, D. G. (1980): Significance Tests and Goodness-of-Fit in the Analysis of Covariance Structures, in: Psychological Bulletin, 88: 588–606.
Bentler, P. M., Chou, C. P. (1987): Practical Issues in Structural Modeling, in: Sociological Methods & Research, 16: 78–117.
Bienstock, C. C., Mentzer, J. T., Bird, M. M. (1997): Measuring Physical Distribution Service Quality, in: Journal of Academy of Marketing Science, 25(1), 31–44.
Bollen, K. A. (1986): Sample size and Bentler and Bonett’s Non-normed Fit Index, in Psychometrika, 51: 375–377.
Browne, B. M., Cudeck, R. (1993): Alternative Ways of Assessing Model Fit, in: Bollen, K. S., Long, J. S. (eds): Testing Structural Models, Sage Publications, Newbury Park.
Byrne, B. M. (2001): Structural Equation Modeling with AMOS — Basic Concepts, Applications and Programming, Lawrence Erlbaum Associates, Inc., Publishers, New Jersey.
Churchill, G. A., Peter, J. P. (1984): Research Design Effects on the Reliability of Rating Scales: A Meta Analysis, in: Journal of Marketing Research, 21(November): 360–75.
Dabholkar, P. A. (1994): Incorporating Choice into an Attitudinal Framework: Analysing Models of Mental Comparison Processes, in: Journal of Consumer Research, 21 (June): 100–118.
Dillman, D. A. (2000): Mail and Internet Surveys — The Tailored Design Method, John Wiley, New York.
Dunn, S. C., Seaker, R. F., Waller, M. A. (1994): Latent Variables in Business Logistics Research, in: Journal of Business Logistics, 15(2), 145–172.
Enders, C. K. (2001): The Impact of Nonnormality on Full Information Maximum-Likelihood Estimation for Structural Equation Models with Missing Data, in: Psychological Methods, 16(4), 352–370.
Fan, X., Thompson, B., Wang, L., (1999): Effects of Sample Size, Estimation Methods, and Model Specification on Structural Equation Modeling Fit Indexes, in: Structural Equation Modeling, 6(1), 56–83.
Fornell, C., Larcker, D. F. (1981): Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, in: Journal of Marketing Research, 18(3), 39–50.
Gerbing, D. W., Anderson, J. C. (1988): An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment, in: Journal of Marketing Research, 25(May), 186–192.
Hair, J. F., Rolph, E. A., Ronald, L. T., William, C. B. (1998): Multivariate Data Analysis, Prentice Hall, Upper Saddle River, NJ.
Hu, L. T., Bentler, P. M. (1995): Evaluating Model Fit, in Hoyle, R.H. (Ed): Structural Equation Modeling: Concepts, Issues and Applications, Sage, Thousand Oaks, CA: 76–99.
Hu, L. T., Bentler, P. M. (1999): Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives, in: Structural Equation Modeling, 6(1), 1–55.
Hubbard, R., Vetter, D. E. (1996): An Empirical Comparison of Published Replication Research in Accounting, Economics, Finance, Management and Marketing, in: Journal of Business Research, 35: 153–164.
Joreskog, K. G. (1974): Analyzing Psychological Data by Structural Analysis of Covariance Matrices, in: Atkinson, R.C., Krantz, D.H., Luce, R.D., and Suppes, P. (Eds): Contemporary Development in Mathematical Psychology II, Freeman, San Francisco: p. 1–54.
Keller, S. B., Savitskie, K, Stank, T. P., Lynch, D. F., Ellinger, A. E. (2002): A Summary and Analysis of Multi-Item Scales Used in Logistics Research, in: Journal of Business Logistics: 23(2), 83–270.
Lindsay, R. M., Ehrenberg, A. S. C. (1993): The Design of Replicated Studies, in: The American Statistician, 47 (August), 217–228.
Loehlin, J. C. (1998): Latent Variables Models: An Introduction to Factor, Path and Structural Analysis, Lawrence Erlbaum Associates, 3rd Ed. Mahwah, NJ.
Malhotra, N. K. (1998): Marketing Research: An Applied Orientation, Prentice Hall, Upper Saddle River, New Jersey.
McArdle, J. J. (1994): Structural Factor Analysis Experiments with Incomplete Data, in: Multivariate Behavioral Research, 29: 409–454.
Mentzer, J. T., Flint, D. J., Kent, J. L. (1999): Developing A Logistics Service Quality Scale, in: Journal of Business Logistics, 20(1), 9–32.
Mentzer, J. T., Flint, D. J. (1997): Validity in Logistics Research, in: Journal of Business Logistics, 18(1), 199–216.
Mentzer, J. T., Flint, D. J., Hult, T. M. (2001): Logistics Service Quality as a Segment-Customised Process, in: Journal of Marketing, 65 (October), 82–104.
Mohr, J., Spekman, R. (1994): Characteristics of Partnership Success: Partnership Attributes, Communication Behavior and Conflict Resolution, in: Strategic Management Journal, 15: 135–152.
Schafer, J. L., Graham, J. W. (2002): Missing Data: Our View of the State of the Art, in: Psychological Methods, 7(2), 147–177.
Thacker, J. W., Fields, M. W., Tetrick, L.E., (1989): The Factor Structure of Union Commitment: An Application of Confirmatory Factor Analysis, in: Journal of Applied Psychology, 74(April): 228–232.
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Jaafar, H.S., Rafiq, M. (2005). Customers’ Perceptions of Service Quality by TPL Service Providers in the United Kingdom — A Confirmatory Factor Analysis. In: Kotzab, H., Seuring, S., Müller, M., Reiner, G. (eds) Research Methodologies in Supply Chain Management. Physica-Verlag HD. https://doi.org/10.1007/3-7908-1636-1_13
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