An Introduction to Applied Statistics : With Step-By-Step SPSS Instructions (Paperback, 2 ed)

PART I: GETTING STARTED? 1. An Introduction to Applied Statistics? 2. Statistics: Descriptive, Inferential, and Correlational? 3. Data and Types of Variables? 4. SPSS 29 Statistics Data Management Basics- Preparing Data for Analysis;? PART II: SAMPLING CONSIDERATIONS? 5. Sampling Strategies? 6. Sample Size? 7. Sources and Types of Statistical Error? 8. Missing Data;? PART III: DATA SCREENING, DESCRIBING, AND PROBABILITIES? 9. Describing Categorical Variables? 10. Basic Probabilities for Categorical Variables? 11. The Concepts of Data Distribution, Probability Values, and Signi?cance Testing? 12. Numeric Variables: Data Screening and Removing Outliers;? PART IV: STATISTICAL ANALYSIS? Categorical Variables? 13. Chi-Square Goodness of Fit Test: Comparing Counts in a Single Variable with Two or More Categories? 14. Chi-Square Test of Independence: Comparing Counts between Two Variables Each with Two or More Categories? 15. Chi-Square Test of the Same Sample: Comparing Counts of the Same Sample Measured Twice Using a Categorical Variable? Numeric Variables? 16. T-Test: Comparing a Single Sample Mean to a Speci?c Value? 17. T-Test: Comparing Two Independent Samples’ Variable Means? 18. Analysis of Variance (ANOVA): Comparing More Than Two Independent Samples’ Means to Test for Differences among Them? 19. Paired T-Test: Comparing the Means of the Same Sample Measured Twice Using a Numeric Variable? Association and Regression? 20. General Linear Model Repeated Measures: Comparing Means of the Same Sample Measured More Than Twice Using a Numeric Variable? 21. Bivariate Correlation: The Association Between Two Variables? 22. Linear Regression? 23. Logistic Regression? Data Reduction? 24. Factor Analysis: From Data Reduction to Latent Variables? 25. Classification Using Cluster Analysis;? APPENDICES? Appendix A: Glossary? Appendix B: Chapter Statistical Exercise Solutions? Appendix C: Statistics Flow Chart