Introductory Statistics for the Behavioral Sciences

Barry H. Cohen, Joan Welkowitz, R. Brooke Lea

• Publisher: Wiley
• Year: 2012
• Print ISBN: 9780470907764
• eBook ISBN: 9781118149737
• Edition: 7
• Topic: Psychology
• Subtopic: Research & Methodology in Psychology
• Index: Psychology

A comprehensive and user-friendly introduction to statistics for behavioral science students—revised and updated

Refined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data.

One of the most popular and respected statistics texts in the behavioral sciences, the Seventh Edition of Introductory Statistics for the Behavioral Sciences has been fully revised. The new edition presents all the topics students in the behavioral sciences need in a uniquely accessible and easy-to-understand format, aiding in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences.

The Seventh Edition features:

• A continuous narrative that clearly explains statistics while tracking a common data set throughout, making the concepts unintimidating and memorable, and providing a framework that connects all of the topics and allows for easy comparison of different statistical analyses

• Coverage of important aspects of research design throughout the text, such as the "correlation is not causality" principle

• Updated and annotated SPSS output at the end of each chapter with step-by-step instructions

• Updated examples and exercises

• An expanded website, at www.wiley.com/go/welkowitz, with test bank, chapter quizzes, and PowerPoint slides for instructors, as well as a second website for students with additional basic math coverage, math review exercises, a study guide, a set of additional SPSS exercises, and more downloadable data sets

Part I

Descriptive Statistics

Chapter 1 Introduction

Chapter 2 Frequency Distributions and Graphs

Chapter 3 Measures of Central Tendency and Variability

Chapter 4 Standardized Scores and the Normal Distribution

Chapter 1

Introduction

Preview

Why Study Statistics?

What are four important reasons why knowledge of statistics is essential for anyone majoring in psychology, sociology, or education?

Descriptive and Inferential Statistics

What is the difference between descriptive and inferential statistics?

Why must behavioral science researchers use inferential statistics?

Populations, Samples, Parameters, and Statistics

What is the difference between a population and a sample?

Why is it important to specify clearly the population from which a sample is drawn?

What is the difference between a parameter and a statistic?

Measurement Scales

What types of scales are used to measure variables in the behavioral sciences?

Independent and Dependent Variables

What is the difference between observational and experimental studies?

Summation Notation

Why is summation notation used by statisticians?

What are the eight rules involving summation notation?

Ihno's Study

An example that provides a common thread tying together all of the subsequent chapters

Summary

Exercises

Thought Questions

Computer Exercises

Bridge to SPSS

Why Study Statistics?

This book is written primarily for undergraduates majoring in psychology, or one of the other behavioral sciences. There are four reasons why a knowledge of statistics is essential for those who wish to conduct or consume behavioral science research:

1. To understand the professional literature. Most professional literature in the behavioral sciences includes results that are based on statistical analyses. Therefore, you will be unable to understand important articles in scientific journals and books unless you understand statistics. It is possible to seek out secondhand reports that are designed for the statistically uninformed, but those who prefer this alternative to obtaining firsthand information probably should not be majoring in the fields of behavioral science.

2. To understand and evaluate statistical claims made in the popular media. This is a relatively new reason to acquire quantitative reasoning skills: The “Information Age” of the early 21st century has ushered in an explosion of quantitative claims in newspapers, television, and the Internet. Unfortunately, the difference between claims that are statistically sound and those that merely appear that way can be difficult to detect without some formal training. You will make many important life decisions over the next decade that will require weighing probabilities under conditions of uncertainty. A competence with basic statistics will empower you to make maximal use of the available information and help protect you from those who may wish to mislead you with pretty graphs and numbers.

3. To understand the rationale underlying research in the behavioral sciences. Statistics is not just a catalog of procedures and formulas. It offers the rationale on which much of behavioral science research is based—namely, drawing inferences about a population based on data obtained from a sample. Those familiar with statistics understand that research consists of a series of educated guesses and fallible decisions, not right or wrong answers. Those without a knowledge of statistics, by contrast, cannot understand the strengths and weaknesses of the techniques used by behavioral scientists to collect information and draw conclusions.

4. To carry out behavioral science research. In order to contribute competent research to the behavioral sciences, it is necessary to design the statistical analysis before the data are collected. Otherwise, the research procedures may be so poorly planned that not even an expert statistician can make any sense out of the results. To be sure, it is possible (and often advisable) to consult someone more experienced in statistics for assistance. Without some statistical knowledge of your own, however, you will find it difficult or impossible to convey your needs to someone else and to understand the replies.

Save for these introductory remarks, we do not regard it as our task to persuade you that statistics is important in psychology and other behavioral sciences. If you are seriously interested in any of these fields, you will find this out for yourself. Accordingly, this book does not rely on documented examples selected from the professional literature to prove to you that statistics really is used in these fields. Instead, we have devised several artificial, but realistic, examples with numerical values that reveal the processes and issues involved in statistical analyses as clearly as possible.

One example we use throughout this text is based on a hypothetical study performed by a new student named Carrie on the relative friendliness of four dormitory halls on her campus. We present the data for this study in the first exercise at the end of this chapter and return to it in many of the subsequent chapters.

We have tried to avoid a “cookbook” approach that places excessive emphasis on computational recipes. Instead, the various statistical procedures and the essential underlying concepts have been explained at length, and insofar as possible in standard English, so that you will know not only what to do but why you are doing it. Do not, however, expect to learn the material in this book from a single reading; the concepts involved in statistics, especially inferential statistics, are sufficiently challenging that it is often said that the only way to completely understand the material is to teach it (or write a book about it). Having said that, however, there is no reason to approach statistics with fear and trembling. You certainly do not need any advanced understanding of mathematics to obtain a good working knowledge of basic statistics. What is needed is mathematical comprehension sufficient to cope with beginning high school algebra and a willingness to work at new concepts until they are understood, which requires, in turn, a willingness to spend some time working through at least half of the exercises at the end of each chapter (and, perhaps, some additional exercises from the online Study Guide).

Descriptive and Inferential Statistics

One purpose of statistics is to summarize or describe the characterist...

Table of contents

• Cover
• Title Page
• Copyright
• Dedication
• Preface
• Acknowledgments
• Glossary of Symbols
• Part I: Descriptive Statistics
• Part II: Basic Inferential Statistics
• Part III: Analysis of Variance Methods
• Part IV: Nonparametric Statistics for Categorical Data
• Appendix
• Glossary of Terms
• References
• Index