Statistics for human service evaluation. (2016)

• Record Type: Book
• Further Information: Note: Reginald O. York.
• Authors: York, Reginald O, 1942-
• Contents: 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;
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2016
• Extent: 1 online resource
• Subjects: 519.5; Social service -- Evaluation; Statistics -- Computer programs
• Languages: English
• ISBNs: 9781483386713
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.