Statistics for Social Workers

In this Section: I) Brief Table of Contents II) Detailed Table of Contents I) Brief Table of Contents Chapter 1. Introduction Chapter 2. Frequency Distributions and Graphs Chapter 3. Measures of Central Tendency and Variability Chapter 4. Normal Distributions Chapter 5. Testing Hypotheses Chapter 6. Sampling Distributions Chapter 7. t Tests and Analysis of Variance Chapter 8. The Chi-Square Test of Association between Variables Chapter 9. Correlation Chapter 10. Regression Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice II) Detailed Table of Contents Chapter 1. Introduction Useful Terms You Will Need to Know Measurement iSSUES Additional Measurement Classifications Research Hypotheses Classification of Variables and Their Relationship Categories of Statistical Analyses Statistics and data collection Research designs and statistics Chapter 2. Frequency Distributions and Graphs Frequency Distributions Grouped Frequency Distributions Using Frequency Distributions to Analyze Data Misrepresentation of Data Graphs A Caution: Computer-generated graphs Chapter 3. Measures of Central Tendency and Variability Measures of Central Tendency Measures of Variability Other Uses for Central Tendency and Variability Chapter 4. Normal Distributions Skewness Kurtosis The Normal Curve The Standard Normal Distribution Converting Raw Scores to z Scores and Percentiles Deriving raw Scores From Percentiles Chapter 5. Testing Hypotheses Alternative Explanations for Relationships Within Samples Probability and Inference Refuting Sampling Error Statistical Significance Testing the Null Hypothesis Errors in Drawing Conclusions About Relationships Statistically Significant Relationships and Meaningful Findings The Hypothesis Testing process Chapter 6. Sampling Distributions Sample Size and Sampling Error What are Sampling Distribution? Rejection Regions and hypothesis testing Estimating Parameters Selecting Statistical Tests Deciding Which Test to use Chapter 7. t Tests and Analysis of Variance The use of t Tests The One-sample t Test The Dependent t Test The Independent tTest Misuse of t tests Simple Analysis of Variance (Simple Anova) Multivariate Analysis of Variance Chapter 8. The Chi-Square Test of Association between Variables When Chi-Square is Appropriate Cross-Tabulation Tables Using Chi-Square When Chi-square is not appropriate Using chi-square in social work practice Cross-Tabulation With Three or More Variables Special Applications of The Chi-Square Formula Chapter 9. Correlation Uses of Correlation Scattergrams Nonperfect Correlations Interpreting Linear Correlations Using Correlation for inference Pearson'S r Nonparametric Alternatives to Pearson'S r Correlation With Three or More Variables Other Multivariate analyses That use Correlation Chapter 10. Regression Prediction and Evidence-Based Practice Prediction and Statistical Analysis What is Simple Linear Regression? Computation of the Regression Equation More About the Regression Line Interpreting Results Using regression in social work practice When is regression analysis appropriate Regression With Three or More Variables Other Types of Regression Analyses Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice Meta-analyses Program evaluations Single-System designs