Zone d'identification |
| Cote: | PP 1060/H0-7/13 |
| Titre: | J.-O. Kim and C. W. Mueller. "Introduction to factor analysis : what it is and how to do it", Beverly Hills [etc.]: Sage, 79 p. |
| Dates: | 1978 |
| Période de création: | 01/01/1978 - 31/12/1978 |
| Niveau: | Pièce |
| Importance matérielle: | 1 volume imprimé |
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Zone du contenu et de la structure |
| Contenu: | I. Logical foundations of factor analysis. 1. Fundamental concepts of factor analysis. 1.1. Factors and variables. 1.2. Variance, covariance, and correlation. 1.3. Linear combinations and derivations of variance and covariance. 1.4. Recapitulation : factor loadings, correlations, and casual diagrams. 2. Correspondance between factor models and covariance structures. 2.1. Number of common factors and the rank of the adjusted correlation matrix. 2.2. Uncertainties inherent to deriving factors from covariance structures. 3. Fundamental postulates of factor analysis : recapitulation. II. Obtaining factor analysis solutions. 1. Major steps in actual factor analysis. 1.1. Data collection and preparation of the covariance matrix. 1.2. Extracting initial factors. 1.3. Rotation to a terminal solution. 1.4. Construction of factor scales and their use in further analysis. 2. Illustration of actual analysis, as applied to known error-free data. 3. Obtaining basic factor analysis solutions through the use of computer packages. 3.1. Illustration with SPSS. 3.2. Additional illustrations with SPSS, BMD, OSIRIS, and SAS. 4. Complications in analyzing real data. 4.1. Sampling variability. 4.2. Selection bias. 4.3. Measurement errors. 4.4. Minor factors. |
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Zone des conditions d'accès et d'utilisation |
| Règles d'accès: | Libre. |
| Langue: | Anglais |
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Zone des notes |
| Notes: | Sage university paper. 7, Quantitative applications in the social sciences |
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URL vers cette unité de description |
| URL: | https://davel.vd.ch/detail.aspx?ID=1275895 |
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