Testing interaction effects in LISREL: Examination and illustration of available procedures

被引:375
作者
Cortina, JM [1 ]
Chen, G
Dunlap, WP
机构
[1] George Mason Univ, Dept Psychol, Fairfax, VA 22030 USA
[2] Tulane Univ, New Orleans, LA 70118 USA
关键词
D O I
10.1177/109442810144002
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The concomitant proliferation of causal modeling and hypotheses of multiplicative effects has brought about a tremendous need for procedures that allow the testing of moderated structural equation models (MSEMs). The seminal work of Kenny and Judd and Hayduk has been drawn on by several authors in the past 10 years, thus producing procedures that allow for such tests. Yet, utilization of MSEMs in empirical research has been quite rare. The purposes of this article are twofold. First, the authors discuss general issues with respect to multivariate normality, indicators of latent products, the nature of latent products, and identification problems in MSEM. Second, they review and illustrate techniques that are available for the testing of interaction effects in structural equation models.
引用
收藏
页码:324 / 360
页数:37
相关论文
共 30 条
[1]  
Aiken L. S., 1991, MULTIPLE REGRESSION
[2]   SOME METHODS FOR RESPECIFYING MEASUREMENT MODELS TO OBTAIN UNIDIMENSIONAL CONSTRUCT MEASUREMENT [J].
ANDERSON, JC ;
GERBING, DW .
JOURNAL OF MARKETING RESEARCH, 1982, 19 (04) :453-460
[3]  
[Anonymous], LISREL 8 SIMPLIS COM
[4]  
Bohrnstedt G.W., 1978, SOCIOL METHODOL, V9, P254, DOI [https://doi.org/10.2307/270812, DOI 10.2307/270812]
[5]  
Bollen K. A., 1989, STRUCTURAL EQUATIONS
[6]  
BORNSTEDT GW, 1969, AM STAT ASS J, V64, P1439
[8]   SCALED TEST STATISTICS AND ROBUST STANDARD ERRORS FOR NONNORMAL DATA IN COVARIANCE STRUCTURE-ANALYSIS - A MONTE-CARLO STUDY [J].
CHOU, CP ;
BENTLER, PM ;
SATORRA, A .
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 1991, 44 :347-357
[9]  
Cohen J., 1983, APPL MULTIPLE REGRES, DOI [10.1002/0471264385.wei0219, DOI 10.1002/0471264385.WEI0219]
[10]   INTERACTION, NONLINEARITY, AND MULTICOLLINEARITY - IMPLICATIONS FOR MULTIPLE-REGRESSION [J].
CORTINA, JM .
JOURNAL OF MANAGEMENT, 1993, 19 (04) :915-922