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Using Statistical Methods in Social Science Research

With a Complete SPSS Guide

Soleman H. Abu-Bader

Publication Date - July 2011

ISBN: 9780190615222

394 pages
Paperback
5.9 x 8.9 inches

In Stock

Retail Price to Students: $69.00

Description

In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings.

New to this Edition

  • Extended coverage of statistical techniques, with strong focus on tests used in real research situations
  • Additional mathematical and statistical concepts including reliability, effect size, and power
  • Updated to reflect latest version of SPSS (Versions 18.0 & 19.0)
  • A package containing this book and the student version of SPSS 18 is available.

Features

  • Revised online database for users

About the Author(s)

Soleman H. Abu-Bader (PhD, University of Utah; MSW, Augsburg College) is professor of social work at Howard University. He has worked as a social work practitioner and researcher. He is the author of several empirical research articles that focus on the elderly, mental health, welfare, and organizational behavior.

Table of Contents

    Preface
    1 Overview of Research Methodological Terms
    2 Creating SPSS Data Files
    3 Data Organization and Summary: Frequency Tables and Graphs
    4 Descriptive Statistics: Measures of Central Tendency, Variability, and Percentiles
    5 Normality Distributions, Data Transformations, and Standard Scores
    6 Hypothesis Testing and Selecting a Statistical Test
    7 Bivariate Correlation: Pearson's Productmoment Correlation Coefficient
    8 Independent T-Tests: One-Sample Case and Two-Sample Case T-Tests of the Mean
    9 Dependent T-Test: Two-Paired Observations
    10 K Group Comparisons: One-Way Analysis of Variance and Covariance
    11 Chi-Square Tests: Goodness-of-Fit Test and Test of Association
    12 Multiple Regression Analysis
    Appendices
    References
    Index

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