Applied Multivariate Research
eBook - ePub

Applied Multivariate Research

Design and Interpretation

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Applied Multivariate Research

Design and Interpretation

About this book

Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

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Yes, you can access Applied Multivariate Research by Lawrence S. Meyers,Glenn Gamst,A.J. Guarino in PDF and/or ePUB format, as well as other popular books in Social Sciences & Education Theory & Practice. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Preface
  9. About the Authors
  10. Part I Fundamentals of Multivariate Design
  11. Chapter 1 An Introduction to Multivariate Design
  12. Chapter 2 Some Fundamental Research Design Concepts
  13. Chapter 3A Data Screening
  14. Chapter 3B Data Screening Using IBM SPSS
  15. Part II Basic and Advanced Regression Analysis
  16. Chapter 4A Bivariate Correlation and Simple Linear Regression
  17. Chapter 4B Bivariate Correlation and Simple Linear Regression Using IBM SPSS
  18. Chapter 5A Multiple Regression Analysis
  19. Chapter 5B Multiple Regression Analysis Using IBM SPSS
  20. Chapter 6A Beyond Statistical Regression
  21. Chapter 6B Beyond Statistical Regression Using IBM SPSS
  22. Chapter 7A Canonical Correlation Analysis
  23. Chapter 7B Canonical Correlation Analysis Using IBM SPSS
  24. Chapter 8A Multilevel Modeling
  25. Chapter 8B Multilevel Modeling Using IBM SPSS
  26. Chapter 9A Binary and Multinomial Logistic Regression and ROC Analysis
  27. Chapter 9B Binary and Multinomial Logistic Regression and ROC Analysis Using IBM SPSS
  28. Part III Structural Relationships of Measured and Latent Variables
  29. Chapter 10A Principal Components Analysis and Exploratory Factor Analysis
  30. Chapter 10B Principal Components Analysis and Exploratory Factor Analysis Using IBM SPSS
  31. Chapter 11A Confirmatory Factor Analysis
  32. Chapter 11B Confirmatory Factor Analysis Using IBM SPSS Amos
  33. Chapter 12A Path Analysis: Multiple Regression Analysis
  34. Chapter 12B Path Analysis: Multiple Regression Analysis Using IBM SPSS
  35. Chapter 13A Path Analysis: Structural Equation Modeling
  36. Chapter 13B Path Analysis: Structural Modeling Using IBM SPSS Amos
  37. Chapter 14A Structural Equation Modeling
  38. Chapter 14B Structural Equation Modeling Using IBM SPSS Amos
  39. Chapter 15A Measurement and Structural Equation Modeling Invariance: Applying a Model to Different Groups
  40. Chapter 15B Assessing Measurement and Structural Invariance For Confirmatory Factor Analysis and Structural Equation Models Using IBM SPSS Amos
  41. Part IV Consolidating Stimuli and Cases
  42. Chapter 16A Multidimensional Scaling
  43. Chapter 16B Multidimensional Scaling Using IBM SPSS
  44. Chapter 17A Cluster Analysis
  45. Chapter 17B Cluster Analysis Using IBM SPSS
  46. Part V Comparing Scores
  47. Chapter 18A Between Subjects Comparisons of Means
  48. Chapter 18B Between Subjects ANCOVA, MANOVA, and MANCOVA Using IBM SPSS
  49. Chapter 19A Discriminant Function Analysis
  50. Chapter 19B Three-Group Discriminant Function Analysis Using IBM SPSS
  51. Chapter 20A Survival Analysis
  52. Chapter 20B Survival Analysis Using IBM SPSS
  53. References
  54. Appendix A Statistics Tables
  55. Author Index
  56. Index