Multi-group latent variable models for varying numbers of items and factors with cross-national and longitudinal applications

被引：7

作者：

Baumgartner H. ^{[1
]}

Steenkamp J.-B.E.M. ^{[2
,3
]}

机构：

[1] Mary Jean Frank P. Smeal Coll. B., Pennsylvania State University, University Park

[2] Catholic University of Leuven, 3000 Leuven

[3] Wageningen University, 6706 KN Wageningen

来源：

Marketing Letters | 1998年 / 9卷 / 1期

关键词：

Cross-national research; Longitudinal research; Multi-group analysis; Structural equation modeling;

D O I：

10.1023/A:1007911903032

中图分类号：

学科分类号：

摘要：

Varying sets of items and constructs are a problem frequently encountered in cross-national and longitudinal studies in marketing. We discuss the use of multi-group latent variable models in this situation and describe a method that can be used to handle unequal sets of items and constructs across groups in such models. A simulation study based on cross-national marketing data from Belgium and Great Britain revealed that accurate estimates of differences between latent means can be obtained with this procedure with as few as two common items, although a fairly large sample size is required to obtain small standard errors of the estimates of latent mean differences. A substantive example involving a confirmatory factor model as well as a structural model is also provided, using longitudinal data concerning the quality image of a food product in the Netherlands.

引用

页码：21 / 35

页数：14

共 19 条

[1]

Allison P.D., Estimation of Linear Models with Incomplete Data, Sociological Methodology 1987, pp. 71-103, (1987)

[2]

Anderson J.C., Gerbing D.W., Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach, Psychological Bulletin, 103, pp. 411-423, (1988)

[3]

Bagozzi R.P., Baumgartner H., The Evaluation of Structural Equation Models and Hypothesis Testing, Principles of Marketing Research, pp. 386-422, (1994)

[4]

Baumgartner H., Homburg C., Applications of Structural Equation Modeling in Marketing and Consumer Research: A Review, International Journal of Research in Marketing, 13, pp. 139-161, (1996)

[5]

Berry J.W., On Cross-Cultural Comparability, International Journal of Psychology, 4, pp. 119-128, (1969)

[6]

Bollen K.A., Structural Equations with Latent Variables, (1989)

[7]

Byrne B.M., Shavelson R.J., Muthen B., Testing for the Equivalence of Factor Covariance and Mean Structures: The Issue of Partial Measurement Invariance, Psychological Bulletin, 105, pp. 456-466, (1989)

[8]

Ding L., Velicer W.F., Harlow L.L., Effects of Estimation Methods, Number of Indicators per Factor, and Improper Solutions on Structural Equation Modeling Fit Indices, Structural Equation Modeling, 2, pp. 119-143, (1995)

[9]

Garlington W.F., Shimota H.E., The Change Seeker Index: A Measure of the Need for Variable Stimulus Input, Psychological Reports, 14, pp. 919-924, (1964)

[10]

Green R.T., Langeard E., A Cross-National Comparison of Consumer Habits and Innovator Characteristics, Journal of Marketing, 39, JULY, pp. 34-41, (1975)

← 1 2 →