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Allyn & Bacon

Social Work / Family Therapy / Human Services

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Statistics for Social Workers, 6/E
Robert W. WeinbachThe University of South Carolina
Richard M. Grinnell, Jr.University of Calgary

ISBN-10: 0205375987
ISBN-13:  9780205375981

Publisher:  Allyn & Bacon
Copyright:  2004
Format:  Paper; 304 pp
Published:  03/18/2003
New edition available
  This item has been replaced by Statistics for Social Workers, 8/E.



This acclaimed statistics text requires no prior knowledge of statistics, emphasizing a conceptual understanding of the topic and its usefulness to social work practice and research.

  • Accessible to students who have never taken statistics, reinforcing social work practice with specific social work examples.
  • De-emphasizes mathematical computation, focusing instead 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.
  • Discusses types of statistical analyses that are most likely to be encountered by social work practitioners and researchers.

  • Includes new discussion of why random samples often cannot be used in social work research and how this affects the choice of tests that are appropriate for use.
  • New appendix covers statistical analysis of program evaluation data and single system research data, linking research and practice (Appendix A).
  • New case examples further clarify how various statistical tests can be used in practice and research and how their results can be interpreted (Chs. 9-11).
  • Includes expanded content on how design flaws such as measurement error, measurement bias, and cultural bias can produce spurious relationships between variables (Ch. 5).
  • Additional illustrations of how results of data analysis are reported show students how to communicate results in a concise, acceptable way (Chs. 9 - 11).

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.

  • 9780205739875
    Statistics for Social Workers, 8/E
    Weinbach & Grinnell
    ©2010 | Allyn & Bacon | Paper; 312 pp | Instock
    ISBN-10: 0205739873 | ISBN-13: 9780205739875
    Brief Description | Buy from myPearsonStore

  • 9780205484225
    Statistics for Social Workers, 7/E
    Weinbach & Grinnell
    ©2007 | Allyn & Bacon | Paper; 320 pp | Instock
    ISBN-10: 0205484220 | ISBN-13: 9780205484225
    Brief Description

This acclaimed statistics text 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.

Highlights of the Sixth Edition:

  • Includes new discussion of why random samples often cannot be used in social work research and how this affects the choice of tests that are appropriate for use.
  • New appendix covers statistical analysis of program evaluation data and single system research data, linking research and practice.
  • Includes expanded content on how design flaws such as measurement error, measurement bias, and cultural bias can produce spurious relationships between variables.
  • New case examples further clarify how various statistical tests can be used in practice and research and how their results can be interpreted.

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