We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more
Cover

Using Statistical Methods in Social Science Research

With a Complete SPSS Guide

Third Edition

Author Soleman H. Abu-Bader

Publication Date - February 2021

ISBN: 9780197522486

544 pages
Paperback

In Stock

Retail Price to Students: $89.95

A user-friendly text every student needs for analyzing and making sense of quantitative data

Description

Using Statistical Methods in Social Science Research, Third Edition is the user-friendly text every student needs for analyzing and making sense of quantitative data. With over 20 years of experience teaching statistics, Soleman H. Abu-Bader provides an accessible, step-by-step description of the process needed to organize data, choose a test or statistical technique, analyze, interpret, and report research findings.

The book begins with an overview of research and statistical terms, followed by an explanation of basic descriptive statistics. It then focuses on the purpose, rationale, and assumptions made by each test, such as Pearson's correlation, student's t-tests, analysis of variances, and simple linear regression, among others. The book also provides a wealth of research examples that clearly display the applicability and function of these tests in real-world practice. In a separate appendix, the author provides a step-by-step process for calculating each test for those who still like to understand the mathematical formulas behind these processes.

New to this Edition

  • Completely revised practical exercises including hand calculations, multiple-choice, true/false, and fill-in-the blank exercises
  • Two new appendices, "Appendix B: Hand Calculations" and "Appendix C: Critical Values"
  • New Chapter 12, "Simple Linear Regression"
  • Three new test statistics: point-biserial and partial correlation tests (chapter 7) and one-sample Wilcoxon signed ranks test (chapter 8)
  • Expanded discussion about post hoc test and discussion of two new post hoc tests: Tukey HDS and Games-Howell tests (chapter 10)

Features

  • Bundled with IBM SPSS Statistics Base Integrated Student Edition
  • Discusses the purpose, rational, and assumptions of each test statistic to help students determine the appropriate use
  • Uses real research examples to bridge the gap between theory and practice
  • Accompanied by a robust set of instructor resources created by the author

About the Author(s)

Soleman Abu-Bader, MSW, PHD, is Professor and Chair of Research Sequence at the School of Social Work at Howard University. He is the author of Advanced & Multivariate Statistical Methods for Social Science Research as well as several research articles on organizational behavior and elderly, physical and mental health. He is the founder of the first graduate social work program in Qatar.

Reviews

"Using Statistical Methods in Social Science Research, Third Edition is a very clear, concise, engaging, and simple-to-follow step-by-step guide to statistical procedures and their executions in SPSS. The book is a great assistant to learners who find the mathematical formulae involved in statistical calculations daunting. Without complicated formulae, the book explains plainly the principles underlying statistical tests and analyses, and it facilitates learning through various practical examples and exercises." -- Hisham M. Abu-Rayya, La Trobe University, Australia

"This book is an excellent resource for anyone seeking to learn statistics for the first time and for those who need an SPSS guide to analyze their research. It is incredibly user-friendly. The text is easy to understand, and the SPSS guide is very easy to follow. Additionally, the varied practical exercises are very helpful in assuring that readers are able to apply their knowledge in different ways. I intend to use this book as a required text for all three of my upcoming statistics courses. I also plan to use it for my own research that requires bivariate analysis." -- Tiffanie Victoria Jones, Grambling State University

"Using Statistical Methods in Social Science Research is the text I wish I'd had as a beginning doctoral student. It is comprehensive and meticulous in its explanations of assumptions and functions of statistical operations, yet student-friendly in that ample examples of real-world applications are provided. Exercises will lead students to understanding statistical concepts on both an intuitive and practical level." -- JoAnne Yaffe, University of Utah

Table of Contents

    Preface
    List of Figures
    List of Tables
    List of SPSS Screen Captures

    Chapter 1: Overview of Mathematical and Research Methodological Terms
    Learning Objectives
    Introduction
    Basic Mathematical Concepts
    Variable and Constants
    Levels of Measurement
    Research Hypotheses
    Psychometric Properties of an Instrument
    Population and Sample
    Descriptive and Inferential Statistics
    Types of Relationships between Two Variables
    Summary
    Key Terms
    Practical Exercises

    Chapter 2: Working with SPSS
    Learning Objectives
    Introduction
    About the SPSS Program
    Creating an Instrumentation Codebook
    Practical Example
    Starting the SPSS Program
    Summary
    Key Terms
    Practical Exercises

    Chapter 3: Data Organization and Summary: Frequency Tables and Graphs
    Learning Objectives
    Introduction
    Frequency Distributions
    Graphic Presentations of Data
    Summary
    Key Terms
    Practical Exercises

    Chapter 4: Descriptive Statistics: Measures of Central Tendency, Variability, and Percentiles
    Learning Objectives
    Introduction
    Measures of Central Tendency
    Measures of Variability
    What Measures to Report
    Percentile and Percentile Ranks
    Box-and-Whisker Plot
    Summary
    Key Terms
    Practical Exercises

    Chapter 5: Distributions, Data Transformations, and Standard Z Scores
    Learning Objectives
    Introduction
    Normality of Distributions
    Standard Scores (z Scores)
    Summary
    Key Terms
    Practical Exercises

    Chapter 6: Hypothesis Testing and Selecting a Statistical Test
    Learning Objectives
    Introduction
    Research Hypotheses
    Errors in Hypothesis Testing
    Confidence Interval
    Selecting a Statistical Test
    Summary
    Key Terms
    Practical Exercises

    Chapter 7: Bivariate Correlations
    Learning Objectives
    Introduction
    Correlation
    Scatterplot
    Correlation and Causality
    Correlational Tests
    Assumptions
    Spearman's Rank Correlation Coefficient
    Partial Correlation Test
    Practical Examples
    Summary
    Key Terms
    Practical Exercises

    Chapter 8: Difference between Two Group Means: The One-Sample Case and Two-Sample Case t-Tests
    Learning Objectives
    Introduction
    Student's t-Tests
    One-Sample Case t-Test
    Two-Sample Case t-Test
    Mann-Whitney U Test
    Practical Examples
    Summary
    Key Terms
    Practical Exercises

    Chapter 9: Dependent t-Test: Two-Paired Observations
    Learning Objectives
    Introduction
    Dependent t-Test
    Wilcoxon Signed Ranks Test
    Practical Examples
    Summary
    Key Terms
    Practical Exercises

    Chapter 10: K Group Comparisons: One-Way Analysis of Variance and Covariance
    Learning Objectives
    Introduction
    Why Not Use the Independent t-Test?
    Analysis of Variance: An Overview
    One-Way ANOVA
    One-Way ANCOVA
    Sources of Variations in ANOVA and ANCOVA
    Assumptions of ANOVA and ANCOVA
    Kruskal-Wallis H Test
    Post Hoc Tests
    Practical Examples
    Summary
    Key Terms
    Practical Exercises

    Chapter 11: Chi-Square Goodness-of-Fit Test and Test of Association
    Learning Objectives
    Introduction
    Chi-Square Test
    Chi-Square Goodness-of-Fit Test
    Chi-Square Test of Association
    Contingency Table
    Assumptions of Chi-Square Tests
    Fisher's Exact Test
    Measures of Association
    Practical Examples
    Summary
    Key Terms
    Practical Exercises

    Chapter 12: Simple Linear Regression
    Learning Objectives
    Introduction
    Simple Linear Regression
    Regression Equations and Scatterplot
    Regression Coefficients
    Confidence Interval
    Assumptions
    Practical Example
    Summary
    Key Terms
    Practical Exercises

    Appendix A: SPSS Data Files
    Data File 1: Experimental Design (N = 60)
    Data File 2: Immigrants (N = 40)
    Data File 3: Job Satisfaction (N = 218)
    Data File 4: Mental Health (N = 155)
    Data File 5: Refugees (N = 230)
    Data File 6: Reliability Analysis (N = 110)
    Data File 7: Senior Citizens (N = 90)
    Data File 8: Well-Being (N = 182)

    Appendix B: Hand Calculations
    B.1. Correlational Tests
    B.2. One-Sample Case and Two-Sample Case T Tests
    B.3. Student's T Test-Two-Paired Observations
    B.4. One-Way Analysis of Variance and Covariance
    B.5. Chi-Square Tests
    B.6. Simple Linear Regression

    Appendix C: Critical Values
    Table C.1. Z Scores
    Table C.2. Pearson's Correlation Critical Values
    Table C.3. Spearman's Correlation Critical Values
    Table C.4. T Distribution Critical Values
    Table C.5. Wilcoxon Signed Ranks Test Critical Values
    Table C.6. F Distribution Critical Values
    Table C.7. Mann-Whitney U Test Critical Values
    Table C.8. Tukey HSD Q Test Critical Values
    Table C.9. Chi-Square Critical Values

    References
    Index

Related Titles