000			01892 a2200217 4500
999			_c1393 _d1393
005			20210928164359.0
008			210928b ||||| |||| 00| 0 eng d
020			_a9789389342239
082			_a519.535 _bTAB
100			_aTabachnick, Barbara G _93852
245			_aUsing multivariate statistics
250			_a7th
260			_bPearson India Education Services Pvt. Ltd. _aNew Delhi _c2020
300			_axiv, 832 p.
365			_aINR _b899.00
504			_aTable of Content "1. Introduction 2. A Guide to Statistical Techniques: Using the Book 3. Review of Univariate and Bivariate Statistics 4. Cleaning Up Your Act: Screening Data Prior to Analysis 5. Multiple Regression 6. Analysis of Covariance 7. Multivariate Analysis of Variance and Covariance 8. Profile Analysis: The Multivariate Approach to Repeated Measures 9. Discriminant Analysis 10. Logistic Regression 11. Survival/Failure Analysis 12. Canonical Correlation 13. Principal Components and Factor Analysis 14. Structural Equation Modeling by Jodie B. Ullman 15. Multilevel Linear Modeling 16. Multiway Frequency Analysis 17. Time-­Series Analysis 18. An Overview of the General Linear Model"
520			_aUsing Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors' practical approach focuses on the benefits and limitations of applying a technique to a data set — when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses find the best technique to use understand limitations to applications and learn how to use SPSS and SAS syntax and output.
650			_aMultivariate analysis _9877
650			_aStatistics _9951
942			_2ddc _cBK