Statistics for social workers
著者
書誌事項
Statistics for social workers
Pearswon/Allyn and Bacon, c2004
6th ed
- : pbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This best-selling social work statistics book requires no prior knowledge of statistics, emphasizing a conceptual understanding of the topic and its usefulness to social work practice and research. Rather than focusing on mathematical computation, Statistics for Social Workers instead focuses on providing an understanding of the logical underpinnings of statistical analysis and how to apply the results of analysis in a social work practice environment. The authors have used this approach to teaching statistics for over 25 years, and it remains the most widely used book of its kind.
目次
All chapters conclude with "Concluding Thoughts" and "Study Questions."
Preface.
1. Introduction to Statistical Analysis.
Uses of Statistical Analysis.
General Methodological Terms.
Levels of Measurement.
Levels of Measurement and Analysis of Data.
Other Measurement Classifications.
Categories of Statistical Analyses.
2. Frequency Distributions and Graphs.
Frequency Distributions.
Grouped Frequency Distributions.
Using Frequency Distributions to Analyze Data.
Misrepresentation of Data.
Graphical Presentation of Data.
A Common Mistake in Displaying Data.
3. Central Tendency and Variability.
Central Tendency.
Variability.
4. Normal Distributions.
Skewed Distributions.
Normal Distributions.
Converting Raw Scores to Z Scores and Percentiles.
Deriving Raw Scores From Percentiles.
5. Introduction to Hypothesis Testing.
Alternative Explanations.
Probability.
Refuting Sampling Error.
Research Hypotheses.
Testing the Null Hypothesis.
Statistical Significance.
Errors in Drawing Conclusions About Relationships.
Statistically Significant Relationships and Meaningful Findings.
6. Sampling Distributions and Hypothesis Testing.
Sample Size and Sampling Error.
Sampling Distributions and Inference.
Sampling Distribution of Means.
Estimating Parameters From Statistics.
Other Distributions.
7. Selecting a Statistical Test.
The Importance of Selecting the Correct Statistical Test.
Factors to Consider When Selecting a Statistical Test.
Parametric and Nonparametric Tests.
Multivariate Statistical Tests.
General Guidelines for Test Selection.
Getting Help With Data Analyses.
8. Correlation.
Uses of Correlation.
Perfect Correlations.
Nonperfect Correlations.
Interpreting Linear Correlations.
Using Correlation For Inference.
Computation and Presentation of Person's R.
Nonparametric Alternatives.
Using Correlation With Three or More Variables.
Other Multivariate Tests that Use Correlation.
9. Regression Analyses.
What is Prediction?
What is Simple Linear Regression?
Computation of the Regression Equation.
More About the Regression Line.
Interpreting Results.
Using Regression Analyses in Social Work Practice.
Regression With Three or More Variables.
Other Types of Regression Analyses.
10. Cross-Tabulation.
The Chi-Square Test of Association.
Using Chi-Square in Social Work Practice.
Chi-Square With Three or More Variables.
Special Applications of the Chi-Square Formula.
11. t Tests and Analysis of Variance.
The Use of t Tests.
The One-Sample t Test.
The Dependent t Test.
The Independent t Test.
Simple Analysis of Variance (One-Way Anova).
Appendix A. Using Statistics to Evaluate Practice Effectiveness.
Evaluating Programs.
Evaluating Individual Practitioner Effectiveness.
Glossary.
Index.
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