000 | 01433nam a2200205Ia 4500 | ||
---|---|---|---|
999 |
_c6734 _d6734 |
||
005 | 20201231161958.0 | ||
008 | 160802s9999 xx 000 0 und d | ||
020 | _a9780805859034 | ||
041 | _aeng | ||
082 |
_a519.535 _bSTE-A |
||
100 |
_aStevens, James P. _933591 |
||
245 |
_aApplied multivariate statistics for the social sciences / _cby James P. Stevens |
||
250 | _a5th | ||
260 |
_bRoutledge, _c2009. _aNew York: |
||
300 | _axii, 651 | ||
505 | _a1. Introduction -- 2. Matrix Algebra -- 3. Multiple Regression -- 4. Two-Group Multivariate Analysis of Variance -- 5. K-Group MANOVA: A Priori and Post Hoc Procedures -- 6. Assumptions in MANOVA -- 7. Discriminant Analysis -- 8. Factorial Analysis of Variance -- 9. Analysis of Covariance -- 10. Stepdown Analysis -- 11. Exploratory and Confirmatory Factor Analysis -- 12. Canonical Correlation -- 13. Repeated Measures Analysis -- 14. Categorical Data Analysis: The Log Linear Model -- 15. Hierarchical Linear Modeling -- 16. Structural Equation Modeling. | ||
520 | _aSuitable for those who use, rather than develop statistical methods, this text focuses on a conceptual understanding of the material rather than on proving results. It stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. | ||
650 |
_aGEN _930524 |
||
942 | _cBK |