Applied multiple regression-correlation analysis for the behavioral sciences
This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the t...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hillsdale, NJ :
L. Erlbaum Associates
c1983.
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| Edición: | Second edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009673639806719 |
Tabla de Contenidos:
- Book Cover; Title; Copyright; Contents; Preface to the Second Edition; Preface to the First Edition; PART I BASICS; 1 Introduction; 2 Bivariate Correlation and Regression; 3 Multiple Regression/Correlation: Two or More Independent Variables; 4 Sets of Independent Variables; PART II THE REPRESENTATION OF INFORMATION IN INDEPENDENT VARIABLES; 5 Nominal or Qualitative Scales; 6 Quantitative Scales; 7 Missing Data; PART III APPLICATIONS; 9 Causal Models; 10 The Analysis of Covariance and Its Multiple Regression/Correlation Generalization; 11 Repeated Measurement and Matched Subjects Designs
- 12 Multiple Regression/Correlation and Multivariate Methods APPENDIX 1 The Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements; APPENDIX 2 Desk Calculator Solution of the Multiple Regression/Correlation Problem: Determination of the Inverse Matrix and Applications Thereof; APPENDIX 3 Computer Analysis of Multiple Regression/Correlation; APPENDIX 4 Set Correlation as a General Multivariate Data-Analytic Method; Appendix Tables; References; Author Index; Subject Index
