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Exploring Research, Global Edition

Exploring Research, Global Edition

Neil J. Salkind

(2017)

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Book Details

Abstract

For courses in Experimental Methods and in Research Methods in Political Science and Sociology

 

An informative and unintimidating look at the basics of research in the social and behavioral sciences

Exploring Research makes research methods accessible for students – describing how to collect and analyze data, and providing thorough instruction on how to prepare and write a research proposal and manuscript. Author Neil Salkind covers the research process, problem selection, sampling and generalizability, and the measurement process. He also incorporates the most common types of research models used in the social and behavioral sciences, including qualitative methods. The Ninth Edition explores the use of electronic sources (the Internet) as a means to enhance research skills, includes discussions about scientific methods, and places a strong emphasis on ethics.


Table of Contents

Section Title Page Action Price
Cover Cover
Title Page 1
Copyright Page 2
Contents 5
Preface 9
New to the Edition 9
How This Book Is Organized 9
What’s Special about This Book? 10
A Note to the Instructor 10
How to Use This Book 11
Available Instructor Resources 11
A Big Thanks 11
Acknowledgments for the Global Edition 11
Chapter 1: The Role and Importance of Research 13
Say Hello to Research! 13
What Research Is and What It Isn’t 14
A Model of Scientific Inquiry 16
Asking the Question 17
Identifying the Important Factors 17
Formulating a Hypothesis 17
Collecting Relevant Information 18
Testing the Hypothesis 18
Working with the Hypothesis 18
Reconsidering the Theory 19
Asking New Questions 19
Different Types of Research 19
Nonexperimental Research 19
Experimental Research 21
True Experimental Research 22
Quasi-Experimental Research 22
What Research Method to Use When? 23
Basic Research versus Applied Research 23
Summary 24
Exercises 25
Chapter 2: The Research Process Coming to Terms 27
From Problem to Solution 27
The Language of Research 29
All about Variables 29
Dependent Variables 29
Independent Variables 30
The Relationship between Independent and Dependent Variables 31
Other Important Types of Variables 31
Hypotheses 32
The Null Hypothesis 32
The Research Hypothesis 33
Differences between the Null Hypothesis and the Research Hypothesis 34
What Makes a Good Hypothesis? 34
Samples and Populations 36
The Concept of Significance 36
Summary 37
Exercises 37
Chapter 3A: Selecting a Problem and Reviewing the Research 40
Selecting a Problem 41
Defining Your Interests 42
Ideas, Ideas, Ideas (and What to Do with Them) 43
From Idea to Research Question to Hypothesis 44
Reviewing the Literature 45
Using General Sources 46
Using Secondary Sources 49
Using Primary Sources 50
Reading and Evaluating Research 56
What Does a Research Article Look Like? 56
Criteria for Judging a Research Study 57
Using Electronic Tools in Your Research Activities 58
Searching Online 58
The Great Search Engines 58
Using Boolean Operators in a Search 60
More about Google 61
Using Bibliographic Database Programs 63
Using the Internet: Beyond Searches 65
Research Activities and the Internet 65
A Bit about E-Mail 66
An Introduction to News Groups and RSS Feeds 67
And, Just a Bit about Web Sites 69
Using Social Media in Research 70
Writing the Literature Review 72
Summary 73
Exercises 74
Chapter 3B: The Importance of Practicing Ethics in Research 76
A Bit of History 76
Basic Principles of Ethical Research 77
Protection from Harm 78
Maintenance of Privacy 78
Coercion 78
Informed Consent 79
Confidentiality 80
Debriefing 80
Sharing Benefits 81
Ensuring High Ethical Standards 81
The Role of Professional Organizations 82
A Summary of Ethical Guidelines 82
Ethics and Children 82
Ethics Regarding Online Research 83
Summary 83
Exercises 84
Chapter 4: Sampling and Generalizability 85
Populations and Samples 85
Probability Sampling Strategies 86
Simple Random Sampling 86
Systematic Sampling 88
Stratified Sampling 89
Cluster Sampling 90
Nonprobability Sampling Strategies 90
Convenience Sampling 90
Quota Sampling 90
Samples, Sample Size, and Sampling Error 91
How Big Is Big? 92
Summary 93
Exercises 93
Chapter 5: Measurement, Reliability, and Validity 95
The Measurement Process 95
Levels of Measurement 95
Nominal 96
Ordinal 97
Interval 97
Ratio 98
Continuous versus Discrete Variables 98
What Is All the Fuss? 99
Reliability and Validity: Why They Are Very, Very Important 99
A Conceptual Definition of Reliability 100
Increasing Reliability 101
How Reliability Is Measured 102
Types of Reliability 102
Establishing Reliability: An Example 104
Validity 105
A Conceptual Definition of Validity 105
Types of Validity 105
Establishing Validity: An Example 107
The Relationship between Reliability and Validity 108
Closing (and Very Important) Thoughts 108
Summary 109
Exercises 110
Chapter 6: Methods of Measuring Behavior 112
Tests and Their Development 113
Why Use Tests? 113
What Tests Look Like 114
Types of Tests 114
Achievement Tests 114
Multiple-Choice Achievement Items 115
Attitude Tests 119
Personality Tests 121
Observational Techniques 121
Techniques for Recording Behavior 122
Questionnaires 123
Summary 126
Exercises 126
Chapter 7: Data Collection and Descriptive Statistics 128
Getting Ready for Data Collection 128
The Data Collection Process 129
Constructing Data Collection Forms 129
Coding Data 131
The Ten Commandments of Data Collection 131
Getting Ready for Data Analysis 132
Descriptive Statistics 133
Distributions of Scores 133
Comparing Distributions of Scores 134
Measures of Central Tendency 134
You and Excel—Computing Measures of Central Tendency 136
Measures of Variability 137
The Range 137
The Standard Deviation 137
You and Excel—Computing Measures of Variability 138
Understanding Distributions 138
The Normal (Bell-Shaped) Curve 139
The Mean and the Standard Deviation 139
Standard Scores: Computing and Using z Scores 141
What z Scores Really, Really Mean 142
Summary 142
Exercises 143
Chapter 8: Introducing Inferential Statistics 144
Say Hello to Inferential Statistics! 144
How Inference Works 144
The Role of Chance 145
The Central Limit Theorem 145
The Idea of Statistical Significance 147
Tests of Significance 148
How a Test of Significance Works 148
t-Test for Independent Means 149
How to Select the Appropriate Test 151
You and Excel—Computing a t-Value for a Test of Independent Means Using the ToolPak 152
Some Other Tests of Significance 152
Working with More Than One Dependent Variable 154
Significance versus Meaningfulness 155
Meta-Analysis 156
How Meta-Analyses Are Done 157
Summary 158
Exercises 158
Chapter 9: Nonexperimental Research Descriptive and Correlational Methods 160
Descriptive Research 160
Survey Research 161
How to Conduct Survey Research 163
Correlational Research 165
The Relationship between Variables 165
What Correlation Coefficients Look Like 165
Computing the Pearson Correlation Coefficient 166
You and Excel—Computing a Correlation Using the ToolPak 168
Interpreting the Pearson Correlation Coefficient 168
Summary 170
Exercises 170
Chapter 10: Nonexperimental Research Qualitative Methods 172
Conducting Qualitative Research 172
How Qualitative Research Differs 172
Research Sources 173
Documentation 173
Archival Records 173
Physical Artifacts 173
Direct Observation 173
Participant Observation 174
Focus Groups 174
Case Studies 175
Some Advantages of the Case Study Method 175
Some Disadvantages of the Case Study Method 176
Ethnographies 176
Historical Research 177
Conducting Historical Research 177
The Steps in Historical Research 178
Sources of Historical Data 178
Primary or Secondary Sources: Which Are Best? 179
Authenticity and Accuracy 180
The Limitations of Historical Research 181
Qualitative Research Tools 181
Summary 181
Exercises 182
Chapter 11: Pre- and True Experimental Research Methods 183
Experimental Designs 184
Pre-Experimental Designs 184
True Experimental Designs 185
Internal and External Validity and Experimental Design 187
Threats to Internal Validity 187
Threats to External Validity 189
Increasing Internal and External Validity 189
Internal and External Validity: A Trade-Off? 190
Controlling Extraneous Variables 190
Matching 191
Use of Homogeneous Groups 191
Analysis of Covariance 191
Summary 192
Exercises 192
Chapter 12: Quasi-Experimental Research A Close Cousin to Experimental Research 194
The Quasi-Experimental Method 194
Quasi-Experimental Designs 195
The Nonequivalent Control Group Design 195
The Static Group Comparison 196
Single-Subject Designs 196
Multiple Baseline Designs 198
Evaluating Single-Subject Designs 199
Developmental Research 199
The Utility of Follow-Up Studies 201
The Role of Age in Studying Development 201
Summary 202
Exercises 202
Chapter 13: Writing a Research Proposal 204
The Format of a Research Proposal 204
Appearance 205
Evaluating the Studies You Read 205
Criteria for Judging a Research Study 206
Planning the Actual Research 207
Selecting a Dependent Variable 207
Reviewing a Test 209
Basic Information 209
General Test Information 209
Design and Appearance 209
Reliability 209
Validity 209
Norms 209
Evaluation 209
Selecting a Sample 209
Data Collection and Analysis 210
Selecting an Inferential Statistic 211
Protecting Human Subjects 211
Summary 211
Exercises 211
Chapter 14: Writing a Research Manuscript 212
What a Manuscript Looks Like 212
Title Page 212
Abstract 212
Introduction 213
Method 213
Results 213
Discussion 213
References 213
Appendices 214
Author Notes 214
Footnotes 214
Table Captions 214
Tables 214
Figure Captions 214
Figures 214
Nuts and Bolts 214
Summary 214
Appendix A: Fifty Excel Shortcuts for the Mac and Windows 237
Appendix B: Sample Data Set 240
Appendix C: Answers to End-of-Chapter Exercises 245
Bibliography 257
Glossary 259
Credits 264
Index 265
A 265
B 265
C 265
D 265
E 266
F 266
G 266
H 266
I 267
J 267
K 267
L 267
M 267
N 268
O 268
P 268
Q 268
R 268
S 269
T 270
U 270
V 270
W 270
Z 270