Statistics and Data Interpretation for the

This step-by-step guide to using statistics in the helping professions provides readers with a student-friendly pace as well as practical case examples. Students will see how statistics and data analysis can be used as a valuable tool in real-life situations they are likely to encounter in their helping profession careers. This all-in-one text not only presents the statistics material, but also includes exercises and problems providing students with the opportunity to practice their skills.

PART I: INTRODUCTION AND THE PRESENTATION OF DATA
1. Introduction and Overview
2. More Basics and the Presentation of Data
PART II: DESCRIPTIVE PROCEDURES FOR ONE VARIABLE
3. Central Tendency
4. Variability
5. Shape of Distribution and Important Distributions
PART III: ASSOCIATION BETWEEN TWO VARIABLES
6. The Concept of Relationship and Relationship Between Categorical Variables
7. The Odds Ratio and Other Measures for Nominal-level Variables
8. Correlation and Regression
9. More Measures of Size of Association
PART IV: CAUSAL AND NONCAUSAL RELATIONSHIPS
10. The Assessment of Causality
11. Controlling for Confounding Variables
PART V: INFERENTIAL STATISTICS: BASIC CONCEPTS AND BEGINNING APPLICATIONS
12. An Introduction to Inferential Statistics
13. Confidence Intervals for Means and Proportions
14. The Logic of Statistical Significance Tests
15. The Large Sample Test of the Mean and New Concepts
16. Statistical Power and Selected Topics
PART VI: SELECTED STATISTICAL SIGNIFICANCE TESTS
17. The t Distribution and One-sample Procedures for Means
18. Independent Samples t Test and Dependent Samples t Test
19. Single Sample Tests of Proportions
20. The Chi-square Test of Independence
21. Analysis of Variance
22. Selected Statistical Tests: A Data Interpretation Model
23. Generalizability, Importance, and a Data Interpretation Model
APPENDICES

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Statistics and Data Interpretation for the Helping Professions

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