Statistical power and structural equation models in business research
- 14 June 2003
- journal article
- research article
- Published by Elsevier in Journal of Business Research
- Vol. 57 (2) , 175-183
- https://doi.org/10.1016/s0148-2963(01)00301-0
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternativesStructural Equation Modeling: A Multidisciplinary Journal, 1999
- Negative Emotions in Marketing ResearchJournal of Business Research, 1998
- Nested structural equation models: Noncentrality and power of restriction testStructural Equation Modeling: A Multidisciplinary Journal, 1998
- Applications of structural equation modeling in marketing and consumer research: A reviewInternational Journal of Research in Marketing, 1996
- Theoretical and technical contributions to structural equation modeling: An updated annotated bibliographyStructural Equation Modeling: A Multidisciplinary Journal, 1996
- Efficacy of the indirect approach for estimating structural equation models with missing data: A comparison of five methodsStructural Equation Modeling: A Multidisciplinary Journal, 1994
- Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size.Psychological Bulletin, 1988
- On the evaluation of structural equation modelsJournal of the Academy of Marketing Science, 1988
- The Sensitivity of Confirmatory Maximum Likelihood Factor Analysis to Violations of Measurement Scale and Distributional AssumptionsJournal of Marketing Research, 1987
- Evaluating Structural Equation Models with Unobservable Variables and Measurement ErrorJournal of Marketing Research, 1981