Applied Multivariate Statistics for the Social Sciences, Fifth Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Multivariate Statistics for the Social Sciences, Fifth Edition write by James P. Stevens. This book was released on 2012-11-12. Applied Multivariate Statistics for the Social Sciences, Fifth Edition available in PDF, EPUB and Kindle. This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author 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. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.
Applied Multivariate Statistics for the Social Sciences
Applied Multivariate Statistics for the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Multivariate Statistics for the Social Sciences write by James Paul Stevens. This book was released on 1992. Applied Multivariate Statistics for the Social Sciences available in PDF, EPUB and Kindle. This book was written for those who will be using, rather than developing, advanced statistical methods. It focuses on a conceptual understanding of the material rather than proving results. It is a graduate level textbook with abundant examples.
Applied Multivariate Statistics for the Social Sciences
Applied Multivariate Statistics for the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Multivariate Statistics for the Social Sciences write by James Stevens. This book was released on 1996. Applied Multivariate Statistics for the Social Sciences available in PDF, EPUB and Kindle. Of Important Points -- Two-Group Multivariate Analysis Of Variance -- Four Statistical Reasons for Preferring a Multivariate Analysis -- The Multivariate Test Statistic as a Generalization of Univariate t -- Numerical Calculations for a Two-Group Problem -- Three Post Hoc Procedures -- SAS and SPSS Control Lines for Sample Problem and Selected Printout -- Multivariate Significance but No Univariate Significance -- Multivariate Regression Analysis for the Sample Problem -- Power Analysis -- Ways of Improving Power -- Power Estimation on SPSS MANOVA -- Multivariate Estimation of Power -- K-Group Manova: A Priori And Post Hoc Procedures -- Multivariate Regression Analysis for a Sample Problem -- Traditional Multivariate Analysis of Variance -- Multivariate Analysis of Variance for Sample Data -- Post Hoc Procedures -- The Tukey Procedure -- Planned Comparisons -- Test Statistics for Planned Comparisons -- Multivariate Planned Comparisons on SPSS MANOVA -- Correlated Contrasts -- Studies Using Multivariate Planned Comparisons -- Stepdown Analysis -- Other Multivariate Test Statistics -- How Many Dependent Variables for a MANOVA? -- Power Analysis--A Priori Determination of Sample Size -- Novince (1977) Data for Multivariate Analysis of Variance Presented in Tables 5.3 and 5.4 -- Assumptions In Manova -- ANOVA and MANOVA Assumptions -- Independence Assumption -- What Should Be Done With Correlated Observations? -- Normality Assumption -- Multivariate Normality -- Assessing Univariate Normality -- Homogeneity of Variance Assumption.
Applied Multivariate Statistics for the Social Sciences
Applied Multivariate Statistics for the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Multivariate Statistics for the Social Sciences write by James P. Stevens. This book was released on 1988-01. Applied Multivariate Statistics for the Social Sciences available in PDF, EPUB and Kindle. This book was written for those who will be using, rather than developing, advanced statistical methods. It focuses on a conceptual understanding of the material rather than proving results. It is a graduate level textbook with abundant examples.
Applied Multivariate Statistics for the Social Sciences
Applied Multivariate Statistics for the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Multivariate Statistics for the Social Sciences write by Stevens. This book was released on 1995. Applied Multivariate Statistics for the Social Sciences available in PDF, EPUB and Kindle. This successful text includes: *coverage of both exploratory and confirmatory factor analysis plus illustrations of LISREL and EQS; *the EXAMINE procedure from SPSSX--terrific for exploring data; *a new section on the doubly multivariate problem in which subjects are measured on several dependent outcome variables at each point in time, or for each treatment/condition; and *added exercises on categorical data analysis and the answers for the more difficult problems. There is a 3.5" disk (free to those adopting the text) of all data sets in the book, along with several large data sets.
