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STATISTICS FOR SOCIAL WORKERS (P)

ISBN: 9780801313882 | 0801313880
Edition: 3rd
Publisher: Longman Publishing Group
Pub. Date: 1/1/1995

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SummaryTable of Contents
Written by social workers for social work students, Statistics for Social Workers, 4/e, focuses on the kinds of statistical analysis most often used by social workers. As a result, students are able to use statistics in their everyday work in order to become more effective practitioners. Weinbach & Grinnell avoid the heavy use of mathematical formulae & present statistics in a highly accessible, user-friendly format that helps students understand, appreciate, & make use of statistics in refining their helping skills. NEW FEATURES- * New chapter on sampling distributions & expanded coverage of hypothesis testing. * Additional case examples throughout the text vividly illustrate concepts & provide students with a useful point of reference for understanding statistics. * Reorganized material to reflect the relationship between bivariate & multivariate analysis. CONTENTS 1. Introduction 2. Frequency Distributions & Graphs 3. Central Tendency & Variability 4. Normal Distributions 5. Introduction to Hypothesis Testing 6. Sampling Distributions & Hypothesis Testing 7. Selecting Statistical Tests 8. Correlation 9. Simple Linear Regression 10. Cross-Tabulation 11. t Tests & Analysis of Variance 12. Additional Parametric & Multivariate Tests References & Further Reading Glossary Appendices Index
... MORE
All chapters conclude with "Concluding Thoughts" and "Study Questions
"Preface
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
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
Central Tendency and Variability
Central Tendency
Variability
Normal Distributions
Skewed Distributions
Normal Distributions
Converting Raw Scores to Z Scores and Percentiles
Deriving Raw Scores From Percentiles
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
Sampling Distributions and Hypothesis Testing
Sample Size and Sampling Error
Sampling Distributions and Inference
Sampling Distribution of Means
Estimating Parameters From Statistics
Other Distributions
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
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
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
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
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
Evaluating Programs
Evaluating Individual Practitioner Effectiveness
Glossary
Index
Table of Contents provided by Publisher. All Rights Reserved.

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