Maximizing the information and validity of a linear composite in the factor analysis model for continuous item responses
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| Format: | Artículo científico |
| Language: | en |
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Universitat de València
2008
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| _version_ | 1876464471912742912 |
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| author | Pere J. Ferrando |
| author_facet | Pere J. Ferrando |
| contents | Maximizing the information and validity of a linear composite in the factor analysis model for continuous item responses Pere J. Ferrando Psicología This paper develops results and procedures for obtaining linear compositesof factor scores that maximize: (a) test information, and (b) validity withrespect to external variables in the multiple factor analysis (FA) model. Itreat FA as a multidimensional item response theory model, and useAckermans multidimensional information approach based on maximumlikelihood (ML) estimation of trait levels. This approach, when applied tothe FA model, leads to particularly simple results as far as maximizing testinformation is concerned. Developments concerned with validity appear tobe new, and I use ML results in the context of error-in-variables regression.Graphical procedures for representing both type of results are proposed. Thedevelopments are illustrated with two empirical examples in personalitymeasurement 2008 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16929205 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.2 Vol.29 |
| format | Artículo científico |
| id | redalyc_16929205 |
| institution | Redalyc |
| language | en |
| publishDate | 2008 |
| publisher | Universitat de València |
| spellingShingle | Maximizing the information and validity of a linear composite in the factor analysis model for continuous item responses Pere J. Ferrando Psicología Maximizing the information and validity of a linear composite in the factor analysis model for continuous item responses Pere J. Ferrando Psicología This paper develops results and procedures for obtaining linear compositesof factor scores that maximize: (a) test information, and (b) validity withrespect to external variables in the multiple factor analysis (FA) model. Itreat FA as a multidimensional item response theory model, and useAckermans multidimensional information approach based on maximumlikelihood (ML) estimation of trait levels. This approach, when applied tothe FA model, leads to particularly simple results as far as maximizing testinformation is concerned. Developments concerned with validity appear tobe new, and I use ML results in the context of error-in-variables regression.Graphical procedures for representing both type of results are proposed. Thedevelopments are illustrated with two empirical examples in personalitymeasurement 2008 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16929205 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.2 Vol.29 |
| title | Maximizing the information and validity of a linear composite in the factor analysis model for continuous item responses |
| topic | Psicología |
| url | https://www.redalyc.org/articulo.oa?id=16929205 |