Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data
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| Title: | Structural Equation Modelling of Multiple Facet Data: Extending Models for Multitrait-Multimethod Data |
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| Language: | English |
| Authors: | Bechger, Timo M., Maris, Gunter |
| Source: | Psicologica: International Journal of Methodology and Experimental Psychology. 2004 25(2):253-274. |
| Availability: | University of Valencia. Dept. Metodologia, Facultad de Psicologia, Avda. Blasco Ibanez 21, 46010 Valencia, Spain. Tel: +34-96-386-4100; Web site: http://www.uv.es/revispsi/ |
| Peer Reviewed: | Y |
| Physical Description: | |
| Page Count: | 22 |
| Publication Date: | 2004 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Structural Equation Models, Multitrait Multimethod Techniques, Schematic Studies, Correlation, Mathematical Models, Matrices, Statistical Analysis, Measurement Objectives, Measurement Techniques, Item Sampling, Scientific Principles, Experimental Psychology, Scientific Methodology, Evaluation Methods |
| ISSN: | 0211-2159 |
| Abstract: | This paper is about the structural equation modelling of quantitative measures that are obtained from a multiple facet design. A facet is simply a set consisting of a finite number of elements. It is assumed that measures are obtained by combining each element of each facet. Methods and traits are two such facets, and a multitrait-multimethod study is a two-facet design. We extend models that were proposed for multitrait-multimethod data by Wothke (1984;1996) and Browne (1984, 1989, 1993), and demonstrate how they can be fitted using standard software for structural equation modelling. Each model is derived from the model for individual measurements in order to clarify the first principles underlying each model. (Contains 1 footnote and 1 figure.) |
| Abstractor: | As Provided |
| Number of References: | 37 |
| Entry Date: | 2009 |
| Accession Number: | EJ848310 |
| Database: | ERIC |
| Abstract: | This paper is about the structural equation modelling of quantitative measures that are obtained from a multiple facet design. A facet is simply a set consisting of a finite number of elements. It is assumed that measures are obtained by combining each element of each facet. Methods and traits are two such facets, and a multitrait-multimethod study is a two-facet design. We extend models that were proposed for multitrait-multimethod data by Wothke (1984;1996) and Browne (1984, 1989, 1993), and demonstrate how they can be fitted using standard software for structural equation modelling. Each model is derived from the model for individual measurements in order to clarify the first principles underlying each model. (Contains 1 footnote and 1 figure.) |
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| ISSN: | 0211-2159 |
