Statistics for Social Workers

ISBN-10: 0801318262
ISBN-13: 9780801318269
Edition: 4th 1998
List price: $45.00
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Book details

List price: $45.00
Edition: 4th
Copyright year: 1998
Publisher: Allyn & Bacon, Incorporated
Publication date: 8/18/1997
Binding: Paperback
Pages: 256
Size: 6.39" wide x 9.24" long x 0.73" tall
Weight: 0.990
Language: English

Bonnie L. Yegidis, Ph. D., MSW Bonnie Yegidis is Professor and Director of the School of Social Work at the University of South Florida, Tampa. She teaches in the research methods and social work practice sequences in the School, and has conducted research on family violence, cross-cultural issues in social work practice, and evidence based social work practice. Dr. Yegidis earned her MSW degree from West Virginia University and her Ph. D. in Curriculum and Instruction, with a concentration in Measurement and Evaluation, from the University of South Florida. She is the recipient of a number of awards and honors including Social Worker of the Year from the Georgia Chapter of the National Association of Social Workers, and the Distinguished Alum Award from West Virginia University.Robert W. Weinbach, Ph.D., MSW. Bob Weinbach is Distinguished Professor Emeritus at the University of South Carolina, where he continues to teach graduate level research courses in the College of Social Work. He is also the first author of Statistics for Social Workers, Eighth Edition; The Social Worker as Manager, Sixth Edition; and is the author of Evaluating Social Work Services and Programs (all published by Allyn & Bacon), as well as over 75 other publications and invited book chapters. He earned graduate degrees in social work from SUNY-Buffalo and Ohio State University and has worked in both medical and psychiatric social work practice and as a program evaluator.Laura L. Myers, Ph.D., M.S.W. Laura Myers is an Associate Professor and BSW Program Director at Florida Agricultural and Mechanical University in Tallahassee, FL. Laura received a Bachelor of Arts in Religion and Philosophy and completed her coursework and Master's thesis in Computer Science and Statistics from the University of Southern Mississippi. After several years of computer consulting for accounting firms, she returned to school to complete her M.S.W. and Ph.D. in Social Work at the University of Georgia. Laura lives in Tallahassee with her husband, Dr. Bruce Thyer, and their four children, John, William, Joseph, and Cynthia. Laura is interested in research, scholarly writing, human diversity and social discrimination, eating disorders, and social work and spirituality.

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

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