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Statistics: A Tool for Social Research and Data Analysis, 5th Edition |

Joseph F. Healey, Christopher Donoghue, Steven Prus

  • Copyright 2023
  • {{checkPublicationMessage('Published', '2022-06-22T00:00:00+0000')}}
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Statistics: A Tool for Social Research and Data Analysis 5th Edition by Joseph F. Healey/Christopher Donoghue/Steven Prus
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Overview

Statistics: A Tool for Social Research and Data Analysis, Fifth Canadian Edition, introduces students to statistical analysis for the social sciences (such as political science, social work, and criminology). The reader will acquire the ability to critically read professional social science literature while developing an appreciation of statistics from a uniquely Canadian perspective. This text is comprehensive, while remaining accessible and reader-friendly for students with varying levels of mathematical skill. The variety of special features within this product help students analyze data successfully while providing a solid grounding in traditional formulas and the use of the latest SPSS statistical software package. Upon completion of this text, social science majors will have developed the skills necessary to become statistically literate.

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Meet the Authors

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Joseph F. Healey

Joseph F. Healey is Professor Emeritus of Sociology at Christopher Newport University. In addition to STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, he is the author of RACE, ETHNICITY, GENDER AND CLASS, 8th Edition (Sage, 2018 ) and DIVERSITY AND SOCIETY, 6th Edition (Sage, 2020 ) as well as co-author of several other texts. Dr. Healey earned his A.B. and M.A. from The College of William and Mary (sociology and anthropology) and his Ph.D. from the University of Virginia (sociology and anthropology). In his spare time, he plays and records music for the hammer dulcimer and banjo.

Christopher Donoghue

Christopher Donoghue is Associate Professor of Sociology at Montclair State University in New Jersey. He is the author of many articles on bullying, race and ethnicity, and nursing home care, with his work appearing in such journals as THE GERONTOLOGIST, SOCIOLOGICAL FORUM, RESEARCH ON AGING, JOURNAL OF ADOLESCENCE, THE SOCIAL SCIENCE JOURNAL, DISABILITY AND SOCIETY, HEALTHCARE MANAGEMENT REVIEW, CHILDREN AND SCHOOLS, SOCIOLOGICAL STUDIES OF CHILDREN AND YOUTH and SEX EDUCATION. Dr. Donoghue earned his B.A. from Seton Hall University, his M.A. from Montclair State University and his Ph.D. from Fordham University. Recently he helped to establish a new Master of Arts in Social Research and Analysis program at Montclair State.

Steven Prus

Steven Prus is an associate professor in the department of sociology and anthropology at Carleton University. His Ph.D. is from Simon Fraser University. Professor Prus received a post-doctoral fellowship in Health and Aging Studies at the McMaster University Centre for Gerontological Studies in Hamilton and Statistics Canada in Ottawa. His current interests lie in the area of health and aging using large-scale sample survey data. Professor Prus teaches medical sociology and social statistics at Carleton.

What's New

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  • Figures, tables, and boxes have been extensively updated, and new end-of-chapter problems have been added throughout the product.
  • This edition, at the time of printing, uses the latest version of IBM SPSS Statistics for Windows (Version 27) and the General Social Survey and the Canadian Community Health Survey data sets (2018).

Features

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  • “Applying Statistics” boxes illustrate specific ways in which statistics can be used to answer questions.
  • End-of-Chapter problems are labelled by the social science discipline or subdiscipline from which they are drawn. By identifying problems, students can easily see the relevance of statistics to their own academic interests.
  • “Interpreting Statistics” sections provide additional, detailed examples of how to express the meaning of statistics.
  • Step-by-step computational algorithms are provided for each statistic
  • Cumulative exercises are included at the end of each part to provide practice in choosing, computing, and analyzing statistics.
  • “Reading Statistics” boxes describe the reporting style typically used and try to alert students about what to expect when they review the professional literature. These inserts include excerpts from the Canadian research literature and illustrate how statistics are applied and interpreted by social scientists.
  • Summaries of major points and formulas, as well as a glossary, are included in each chapter for important concepts.
  • Detailed instructions and demonstrations on how to use SPSS for each exercise are provided.
  • Flow charts that help students select appropriate statistics are provided at the beginning of each chapter, depicting the selection process in detail.

Table of Contents

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Prologue: Basic Mathematics Review
Chapter 1: Introduction

Part One: Univariate Descriptive Statistics
Chapter 2: Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts, and Graphs
Chapter 3: Measures of Central Tendency and Dispersion
Chapter 4: The Normal Curve

Part Two: From Description to Inference
Chapter 5: Introduction to Inferential Statistics: Probability, Sampling, and the Sampling Distribution
Chapter 6: Estimation Procedures for Sample Means and Sample Proportions

Part Three: Bivariate Relationships: Tests of Significance and Measures of Association
Chapter 7: Hypothesis Testing with Nominal and Ordinal Variables: Chi Square
Chapter 8: Measures of Association for Variables Measured at the Nominal Level
Chapter 9: Measures of Association for Variables Measured at the Ordinal Level
Chapter 10: Hypothesis Testing with Means and Proportions: The One-Sample Case
Chapter 11: Hypothesis Testing with Means and Proportions: The Two-Sample Case
Chapter 12: Hypothesis Testing with More Than Two Means: One-Way Analysis of Variance
Chapter 13: Hypothesis Testing and Measures of Association for Variables Measured at the Interval-Ratio Level

Part Four: Multivariate Techniques
Chapter 14: Partial Correlation and Multiple Regression and Correlation

Appendix A: Area Under the Normal Curve
Appendix B: Distribution of t
Appendix C: Distribution of Chi Square
Appendix D: Distribution of F
Appendix E: Using Statistics: Ideas for Research Projects
Appendix F: An Introduction to IBM SPSS Statistics for Windows
Appendix G: Information and Code Books for the 2016 Canadian Census of Population and the 2018 General Social Survey: Canadians at Work and Home (Cycle 30)

Answers to Odd-Numbered Computational Problems

Glossary
Index

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  • ISBN-10: 0176922393
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Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

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ISBN: 9780176922399