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IBM SPSS for Introductory Statistics Use and Interpretation 5th Morgan Solution Manual

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IBM SPSS for Introductory Statistics Use and Interpretation 5th Morgan Solution Manual

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Product Details:

  • ISBN-10 ‏ : ‎ 1848729820
  • ISBN-13 ‏ : ‎ 978-1848729827
  • Author:  George A. Morgan, Nancy L. Leech, Gene W. Gloeckner, Karen C. Barrett

Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems.

The new edition features:

  • Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS.
  • A new chapter (7) including an introduction to Cronbach’s alpha and factor analysis.
  • Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students. The web resource is located www.routledge.com/9781848729827 .
  • Students, instructors, and individual purchasers can access the data files to accompany the book at www.routledge.com/9781848729827 .

IBM SPSS for Introductory Statistics, Fifth Edition provides helpful teaching tools:

  • All of the key IBM SPSS windows needed to perform the analyses.
  • Complete outputs with call-out boxes to highlight key points.
  • Flowcharts and tables to help select appropriate statistics and interpret effect sizes.
  • Interpretation sections and questions help students better understand and interpret the output.
  • Assignments organized the way students proceed when they conduct a research project.
  • Examples of how to write about outputs and make tables in APA format.
  • Helpful appendices on how to get started with SPSS and write research questions.

An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, such as in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers interested in using SPSS for their data analysis.

 

Table of Content:

  1. 1 Variables, Research Problems, and Questions
  2. Research Problems
  3. Variables
  4. Research Hypotheses and Questions
  5. A Sample Research Problem: The Modified High School and Beyond (HSB) Study
  6. Interpretation Questions
  7. 2 Data Coding, Entry, and Transformation
  8. Plan the Study, Pilot Test, and Collect Data
  9. Code Data for Data Entry
  10. Problem 2.1: Check the Completed Questionnaires
  11. Problem 2.2: Define and Label the Variables
  12. Problem 2.3: Display Your Dictionary or Codebook
  13. Problem 2.4: Enter Data
  14. Alternative Problem 2.4: Downloading and Using Data Collected Online
  15. Problem 2.5: Count Math Courses Taken
  16. Problem 2.6: Recode and Relabel Mother’s and Father’s Education
  17. Problem 2.7: Reverse Low Pleasure Items for Pleasure Scale Score
  18. Problem 2.8: Compute Pleasure Scale with the Mean Function
  19. Problem 2.9: Check for Errors and Normality for the New Variables
  20. Describing the Sample Demographics and Key Variables
  21. Using Figures to Help Describe the Data
  22. Saving the Updated HSB Data File
  23. Interpretation Questions
  24. Extra SPSS Problems
  25. 3 Measurement and Descriptive Statistics
  26. Frequency Distributions
  27. Levels of Measurement
  28. Descriptive Statistics and Plots 54
  29. The Normal Curve
  30. Interpretation Questions
  31. Extra SPSS Problems
  32. 4 Understanding Your Data and Checking Assumptions
  33. Exploratory Data Analysis (EDA)
  34. Problem 4.1: Descriptive Statistics for the Ordinal and Scale Variables
  35. Problem 4.2: Boxplots for One Variable and for Multiple Variables
  36. Problem 4.3: Boxplots and Stem-and-Leaf Plots Split by a Dichotomous Variable
  37. Problem 4.4: Descriptives for Dichotomous Variables
  38. Problem 4.5: Frequency Tables for Each Type of Variable
  39. Interpretation Questions
  40. Extra SPSS Problems
  41. 5 Selecting and Interpreting Inferential Statistics
  42. General Design Classifications for Difference Questions
  43. Selection of Inferential Statistics
  44. The General Linear Model
  45. Interpreting the Results of a Statistical Test
  46. An Example of How to Select and Interpret Inferential Statistics
  47. Writing About Your Outputs
  48. Conclusion
  49. Interpretation Questions
  50. 6 Methods to Provide Evidence for Reliability and Validity
  51. Measurement Reliability
  52. Measurement Validity
  53. Problem 6.1: Cohen’s Kappa to Assess Reliability with Nominal Data
  54. Problem 6.2: Correlation and Paired t to Assess Interrater Reliability
  55. Problem 6.3: Exploratory Factor Analysis to Assess Evidence for Validity
  56. Problem 6.4: Cronbach’s Alpha to Assess Internal Consistency Reliability
  57. The Use of Factor Analysis and Alpha to Make Summated Scales
  58. Interpretation Questions
  59. Extra SPSS Problems
  60. 7 Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association
  61. Problem 7.1: Chi-Square and Phi (or Cramer’s V)
  62. Problem 7.2: Risk Ratios and Odds Ratios
  63. Problem 7.3: Other Nonparametric Associational Statistics
  64. Problem 7.4: Eta
  65. Interpretation Questions
  66. Extra SPSS Problems
  67. 8 Correlation and Regression
  68. Problem 8.1: Scatterplots to Check the Assumption of Linearity
  69. Problem 8.2: Bivariate Pearson and Spearman Correlations
  70. Problem 8.3: Correlation Matrix for Several Variables
  71. Problem 8.4: Bivariate or Simple Linear Regression
  72. Problem 8.5: Multiple Regression
  73. Interpretation Questions
  74. Extra SPSS Problems
  75. 9 Comparing Groups with t Tests, Analysis of Variance (ANOVA), and Similar Nonparametric Tests Nonparametric Tests
  76. Problem 9.1: One-Sample t Test
  77. Problem 9.2: Independent Samples t Test
  78. Problem 9.3: The Nonparametric Mann-Whitney U Test
  79. Problem 9.4: Paired Samples t Test
  80. Problem 9.5: Nonparametric Wilcoxon Test for Two Related Samples
  81. Problem 9.6: One-Way (or Single Factor) ANOVA
  82. Problem 9.7: Post Hoc Multiple Comparison Tests
  83. Problem 9.8: Nonparametric Kruskal-Wallis Test
  84. Problem 9.9: Two-Way (or Factorial) ANOVA
  85. Interpretation Questions
  86. Extra SPSS Problems
  87. Appendices
  88. A. Getting Started and Other Useful SPSS Procedures
  89. B. Writing Research Problems and Questions
  90. C. Answers to Odd Numbered Interpretation Questions
  91. D. Glossary
  92. For Further Reading
  93. Index

 

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