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9780534577629

Research Methods (with InfoTrac)

by
  • ISBN13:

    9780534577629

  • ISBN10:

    0534577628

  • Edition: 5th
  • Format: Hardcover
  • Copyright: 2000-07-28
  • Publisher: Wadsworth Publishing
  • View Upgraded Edition

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Table of Contents

Psychology and Science
1(32)
Ways of Knowing about Behavior
1(4)
Nonempirical Methods
1(2)
Empirical Methods
3(2)
What Is Science?
5(4)
Characteristics of Science
6(3)
The Relation Between Science and Nonscience
9(1)
Working Assumptions of Science
9(3)
The Reality of the World
10(1)
Rationality
10(1)
Regularity
10(1)
Discoverability
11(1)
Causality
11(1)
The Goals of Science
12(12)
The Discovery of Regularities
12(4)
The Development of Theories
16(2)
The Role of Theories
18(2)
Hypotheses in Science
20(1)
Defining Theoretical Concepts
21(2)
The Nature of Scientific Progress
23(1)
A Note on Psychology and Science
23(1)
Summary
24(2)
Suggestions for Further Reading
26(1)
A Case in Point
27(3)
Reading Between the Lines
30(1)
Exercises
31(2)
Developing a Research Question
33(20)
Choice of a Problem
33(1)
The Literature Review
34(1)
Using the Internet
35(6)
Guidelines for Evaluating Information from the Internet
36(1)
Search Engines
37(1)
Government and Organizational Web Sites
37(1)
Some Individual Web Sites for Psychology
38(1)
Proprietary Web Sites
38(3)
E-mail
41(5)
Inter-Library Loan
46
An Extended Internet Search Example: Waist-Hip Ratio and Attractiveness
41(6)
After You Locate the Important Articles
47(1)
The Research Question
48(1)
The Proposal
48(1)
Summary
49(1)
Exercises
49(4)
Ethics in Research
53(22)
The APA Ethics Code
53(9)
Commentary on Responsibility
55(1)
Commentary on Protection from Harm
55(1)
Commentary on Informed Consent
56(1)
Commentary on Deception
57(1)
Commentary on Privacy and Freedom from Coercion
58(2)
Commentary on Debriefing
60(1)
Role of the Research Participant
61(1)
Ethics and Animal Experimentation
62(4)
Animal Rights and Animal Welfare
62(1)
Speciesism?
63(2)
The Case of the Silver Spring Monkeys
65(1)
Nuts and Bolts
66(1)
Summary
67(1)
Suggestions for Further Reading
68(1)
A Case in Point
69(1)
A Case in Point
70(1)
Reading Between the Lines
71(1)
Exercises
72(3)
Writing in Psychology
75(42)
The Written Report
76(24)
General
76(2)
Avoiding Sexism and Ethnic Bias in Writing
78(1)
The Parts of a Paper
79(3)
Documenting Your Paper
82(3)
Steps in the Publication Process
85(15)
Oral Presentations
100(1)
Poster Presentations
101(1)
Nuts and Bolts
102(4)
Summary
106(2)
Suggestions for Further Reading
108(1)
A Case in Point
108(5)
Reading Between the Lines
113(1)
Exercises
114(3)
Variables
117(22)
Types of Variables
118(3)
Dependent and Independent Vaiables
118(1)
Confounded Variables
119(1)
Quantitative and Categorical Variables
120(1)
Continuous and Discrete Variables
120(1)
Measurement
121(6)
What Is Measurement?
121(1)
Types of Measurement Scales
122(2)
Comparison of the Scales
124(2)
Measurement and Statistics?
126(1)
Reliability and Validity of Measurements
127(3)
Variability and Error
127(1)
Validity of Measurements
128(2)
Nuts and Bolts
130(2)
Summary
132(2)
Suggestions for Further Reading
134(1)
A Case in Point
134(1)
Reading Between the Lines
134(1)
Exercises
135(4)
Tabular and Graphical Description of Data
139(30)
Tables and Graphs of Frequency Data of One Variable
140(5)
Frequency Tables
140(1)
Frequency Distributions
140(3)
Cumulative Frequency Distributions
143(1)
Percentiles
144(1)
Tables and Graphs That Show the Relationship Between Two Variables
145(4)
Scattergrams
145(1)
Tables with One Independent and One Dependent Variable
146(1)
Graphs of Functions (Line Graphs)
147(1)
Bar Graphs
148(1)
Relation Between Frequency Distributions and Other Graphs
149(2)
Time-Series Graphs
151(1)
Indicating Variability of the Data in a Graph
152(2)
Preparing Data for Analysis
154(7)
Data Reduction
154(2)
The Coding Guide
156(1)
Checking for Invalid Data, Missing Data, and Outliers
157(3)
Proceeding with the Analysis
160(1)
Nuts and Bolts
161(1)
Summary
162(1)
Suggestions for Further Reading
163(1)
A Case in Point
163(2)
Reading Between the Lines
165(1)
Exercises
166(3)
Validity
169(20)
Types of Validity
169(4)
Internal Validity
169(2)
Construct Validity
171(1)
External Validity
172(1)
Statistical Validity
172(1)
Threats to Validity
173(6)
Threats to Internal Validity
173(3)
Threats to Construct Validity
176(2)
Threats to External Validity
178(1)
Threats to Statistical Validity
179(1)
Summary Note on Validity
179(1)
Nuts and Bolts
179(3)
Summary
182(1)
Suggestion for Further Reading
183(1)
A Case in Point
183(1)
A Case in Point
184(1)
Reading Between the Lines
185(1)
Exercises
186(3)
Control
189(24)
The Concept of Control
189(3)
Control Provides a Standard of Comparison
189(2)
Control Reduces Variability
191(1)
General Strategies
192(2)
Control in the Laboratory
192(1)
The Research Setting as a Preparation
192(1)
Instrumentation of the Response as Control
193(1)
Specific Strategies
194(8)
Subject as Own Control (Within-Subjects Control)
194(2)
Random Assignment
196(2)
Matching
198(2)
Building Nuisance Variables into the Experiment
200(1)
Statistical Control
201(1)
Replication, Replication
202(2)
Experimental Design as Problem Solving
204(1)
The Elegant Experiment
204(1)
How to Use the Rest of this Book
205(1)
Nuts and Bolts
206(2)
Summary
208(2)
Suggestion for Further Reading
210(1)
A Case in Point
210(1)
Reading Between the Lines
211(1)
Exercises
212(1)
Nonexperimental Research, Part 1: Observational, Archival, and Case-Study Research
213(24)
The Hermeneutic Approach
215(1)
Observational Research
215(7)
Naturalistic Observation
216(4)
Participant-Observer Research
220(2)
Archival Research
222(1)
Case Studies
223(1)
Theory Development and Testing in Observational and Archival Research
224(1)
Nuts and Bolts
225(5)
Summary
230(1)
Suggestions for Further Reading
231(1)
A Case in Point
231(2)
A Case in Point
233(1)
Reading Between the Lines
234(1)
Exercises
235(2)
Nonexperimental Research, Part 2: Survey Research
237(28)
How a Questionnaire Is Designed
237(6)
Determine the Purpose of the Questionnaire
238(1)
Determine the Types of Questions
238(1)
Write the Items
239(3)
Determine How the Data Will Be Analyzed
242(1)
Administering the Questionnaire
243(3)
Determine the Method of Administration
243(2)
The Problem of Response Rate
245(1)
Sampling
246(6)
Types of Samples
246(1)
Probability Samples and Random Selection
247(4)
Summary of Sampling Procedures
251(1)
Nuts and Bolts
252(2)
Summary
254(1)
Suggestions for Further Reading
255(1)
A Case in Point
255(3)
Reading Between the Lines
258(1)
Exercises
258(7)
True Experiments, Part 1: Single-Factor Designs
265(22)
True Experiments
265(1)
Factors, Levels, Conditions, and Treatments
266(1)
Some Designs to Avoid
267(2)
The One-Group Posttest-Only Design
267(1)
The Posttest-Only Design with Nonequivalent Control Groups
267(1)
The One-Group Pretest-Posttest Design
268(1)
The Basic Elements of a Valid Experimental Design
269(1)
Within-Subjects Designs
270(7)
Controlling for Order and Sequence Effects
270(4)
Two Conditions, Tested Within Subjects
274(1)
Multiple Conditions, Tested Within Subjects
275(2)
Between-Subjects Designs
277(2)
Two Conditions, Tested Between Subjects
277(1)
Multiple Conditions, Tested Between Subjects
277(2)
Summary
279(1)
Suggestions for Further Reading
280(1)
A Case in Point
280(1)
A Case in Point
281(1)
Reading Between the Lines
282(1)
Exercises
283(4)
True Experiments, Part 2: Factorial Designs
287(24)
A Simple Factorial Design
289(2)
Main Effects
291(1)
Interactions
291(6)
Interactions When There Is No Main Effect
293(2)
Types of Interactions
295(2)
Within-Subjects, Between-Subjects, and Mixed Designs
297(4)
Advantages of Within-Subjects Designs
300(1)
Control in Within-Subjects Factorial Experiments
300(1)
Some Representative Factorial Designs
301(2)
Factorial, Within-Subjects
301(1)
Factorial, Between-Subjects
301(2)
A Mixed Factorial Design
303(1)
Summary
303(1)
Suggestions for Further Reading
304(1)
A Case in Point
305(1)
Reading Between the Lines
306(1)
Exercises
306(5)
Single-Subject Experiments
311(22)
Advantages of the Single-Subject Approach
312(3)
Focusing on Individual Performance
313(1)
Focusing on Big Effects
314(1)
Avoiding Ethical and Practical Problems
315(1)
Flexibility in Design
315(1)
Disadvantages of the Single-Subject Approach
315(1)
Basic Control Strategies in Single-Subject Research
316(6)
Obtaining a Stable Baseline
316(1)
Using the Withdrawal of Treatment (ABA Designs)
317(1)
Repeating Treatments (ABAB Designs)
317(2)
Changing Only One Variable at a Time
319(2)
Using Multiple Baselines
321(1)
Employing a Changing Criterion
321(1)
Examples of Single-Subject Designs
322(5)
A Multiple-Baseline Design with Withdrawal of Treatment
322(2)
Two Examples from Psychophysics
324(3)
Summary
327(1)
Suggestions for Further Reading
328(1)
A Case in Point
328(1)
Reading Between the Lines
329(1)
Exercises
330(3)
Quasi Experiments
333(32)
The Principal Difference Between Quasi Experiments and True Experiments
333(3)
Other Features of Quasi Experiments
335(1)
Which Is the Best Research Method?
336(1)
Nonequivalent Control Group Designs
336(4)
Mixed Factorial Design with One Nonmanipulated Variable
338(2)
Designs Without Control Groups
340(5)
Interrupted Time-Series Designs
340(4)
Repeated-Treatment Designs
344(1)
Designs to Test Developmental Changes
345(4)
Program Evaluation
349(5)
Sources of Resistance to Program Evaluations
350(1)
Steps in Planning an Evaluation
351(1)
Two Examples of Program Evaluation
352(2)
Nuts and Bolts
354(3)
Summary
357(1)
Suggestions for Further Reading
358(1)
A Case in Point
358(1)
A Case in Point
359(2)
Reading Between the Lines
361(1)
Exercises
362(3)
Epilogue Biases and Limitations of Experimental Psychology 365(16)
Biases
366(3)
Science as Conservative
366(2)
Science as Liberal
368(1)
Limitations of Science
369(4)
Essential Limitations
369(2)
Practical Limitations
371(2)
Fraud
373(2)
The Responsibilities of the Scientist
375(1)
Summary Note on Biases and Limitations of Science
376(1)
Summary
376(1)
Suggestions for Further Reading
377(1)
A Case in Point
378(1)
Reading Between the Lines
379(1)
Exercises
380(1)
Appendix A Review of Statistics 381(34)
Some Basic Terms
381(1)
Descriptive Statistics
382(12)
Measures of Central Tendency
382(4)
Measures of Variability
386(2)
Correlation and Regression
388(6)
Inferential Statistics
394(15)
Sampling Distributions
394(2)
Testing Hypotheses
396(2)
Dealing with Uncertainty in Hypothesis Testing
398(4)
Analysis of Variance
402(6)
The Significance of Significance
408(1)
Exercises
409(6)
Appendix B Random-Number Table 415(2)
Appendix C Population Data Set 417(2)
Appendix D Suggested Answers to ``Reading Between the Lines'' 419(8)
Appendix E Key for Identifying Appropriate Graphs and Statistics 427(4)
References 431(7)
Name Index 438(4)
Subject Index 442

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