Reginald O York

Statistics for Human Service Evaluation

• Broschiertes Buch

Produktbeschreibung

A practical book that shows how both Excel® and SPSS® can be used for analyzing data for human service evaluation.

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Produktdetails

• Verlag: Sage Publications
• Seitenzahl: 272
• Erscheinungstermin: 27. Dezember 2016
• Englisch
• Abmessung: 229mm x 185mm x 15mm
• Gewicht: 431g
• ISBN-13: 9781483386690
• ISBN-10: 1483386694
• Artikelnr.: 45112373

Autorenporträt

Reginald O. York, PhD, is a professor in the School of Social Work at the University of North Carolina Wilmington. Previously, he served on the social work faculties of East Carolina University and the University of North Carolina Chapel Hill. He is the author of Human Service Planning (The University of North Carolina Press, 1982), Building Basic Competencies in Social Work Research (Allyn and Bacon, 1997), Conducting Social Work Research (Allyn and Bacon, 1998), Evaluating Social Work Practice (Pearson, 2009), and Statistics for Human Service Evaluation (Sage Publications, 2017). Prior to his entry into academia, he served as a foster care social worker, a child protective services supervisor, and the director of two human service organizations. His research interests include evidence-based practice, social work education, and human service management.

Inhaltsangabe

Preface
Acknowledgments
About the Author
Chapter 1 Why Do We Use Statistics?
Why We Use Statistics
What You Will Find in the Rest of This Chapter
Two Key Issues Addressed by Data Analysis-Practical Significance and
Statistical Significance
Using Statistics to Describe Clients, Evaluate Services, and Explain Client
Behavior
Descriptive and Inferential Statistics
How Do We Analyze Data the User-Friendly Way?
What You Will Learn From This Book
Quiz
Key Terms
Chapter 2 Using the Computer for Statistical Analysis of Data
Using Excel for Statistical Analysis
Using SPSS for Statistical Analysis
The Structure of Excel and SPSS for Data Analysis
Using Excel in a User-Friendly Approach to Data Analysis- An Illustration
Reporting Your Findings
Summary of How to Use Excel
Quiz
Chapter 3 Selecting a Statistic to Answer Your Research Question
Finding a Descriptive Statistic
Finding a Statistic to Test Your Hypothesis in Evaluative Research
The Study Hypothesis
Things to Do Before You Seek a Statistic for an Evaluative Hypothesis
Finding Your Statistic for Testing the Evaluative Research Hypothesis: One
Example
Practice Exercise
Key Terms
Chapter 4 Using Descriptive Statistics to Describe Your Study Sample
Deciding What Variables to Describe
Deciding What Statistics to Report About Your Study Subjects
Some Common Descriptive Statistics
Variance and the Normal Distribution
Using the Special Excel Files for Descriptive Statistics
Using SPSS for Descriptive Statistics
Summary
Quiz
Key Terms
Chapter 5 Analyzing Data With Pretest and Posttest Measurements of One
Group
Using the t Test
Examining Statistical Significance and Practical Significance With the t
Test
Testing Your Hypothesis With the Paired-Samples t Test When You Have
Matching Pretest and Posttest Scores
Testing Your Hypothesis With the One-Sample t Test When You Have Pretest
and Posttest Scores That Cannot Be Matched
Testing Your Hypothesis With the Binomial Test When You Have Pretest and
Posttest Measurements of a Dichotomous Variable
Using the Binomial Test for the Posttest-Only Design When You Have a
Threshold Proportion for Comparison
Summary
Quiz
Practice Exercise
Key Terms
Chapter 6 Analyzing Data When You Are Comparing Two Groups
Using the Independent-Samples t Test When You Are Comparing the Gain Scores
of Two Groups
Using Chi Square to Compare Two Groups When You Have a Dichotomous
Dependent Variable
Quiz
Practice Exercise
Key Terms
Chapter 7 Analyzing Data When You Are Evaluating a Single Client
Using the One-Sample t Test When You Have a Single Baseline Score and
Several Treatment Scores
Using the Standard Deviation Approach When You Have Several Baseline Scores
and Several Treatment Scores
Using Other Single-Subject Designs With Data Measured at the Interval Level
Using the Binomial Test for the AB Design When Data Are Measured as a
Dichotomy
Quiz
Practice Exercise
Key Terms
Chapter 8 Explaining Client Gain
Examining the Relationship Between Client Gain and a Variable Measured at
the Nominal Level
Examining the Relationship Between Client Gain and a Variable Measured at
the Interval or Ordinal Level
Using Multiple Regression Analysis to Examine the Relationship Between
Client Gain Scores and More Than One Other Variable
Quiz
Practice Exercise: Youth Diversion Program
Key Terms
Chapter 9 A Synopsis of Selected Statistical Tests for Examining Nominal
Data
Chi Square and the Binomial Test: A Review
Examination of the Relationship Between Two Nominal Variables With
Independent Data Using Chi Square, the Phi Coefficient, and the Contingency
Coefficient
Examination of the Relationship Between Two Nominal Variables With Related
Data Using the McNemar Test
Using the Binomial Test to Compare the Categories of a Dichotomous Variable
Key Terms
Chapter 10 A Synopsis of Selected Statistical Tests for Examining Ordinal
Data
Using the Spearman Rank Correlation Coefficient When You Have Two Ordinal
Variables
Using the Mann-Whitney U Test When You Have Independent Data With One
Ordinal Variable and a Dichotomous Nominal Variable
Using the Wilcoxon Matched-Pairs Signed Ranks Test When You Have Related
Data With a Dichotomous Variable and an Ordinal Variable
Using the Kruskal-Wallis One-Way Analysis of Variance When You Have
Independent Data With an Ordinal Variable and a Nominal Variable That Has
More Than Two Categories
Key Terms
Chapter 11 Statistics for Evidence-Based Practice
What Is Evidence-Based Practice?
Levels of Evidence
Statistics for Review of Evidence
Some Tips for Reviewing the Evidence
Key Terms
Key Terms
Answers to Quizzes and Review Questions
Appendixes
References
Index