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9780534556600

Research Methods and Statistics A Critical Thinking Approach

by
  • ISBN13:

    9780534556600

  • ISBN10:

    0534556604

  • Edition: 2nd
  • Format: Hardcover
  • Copyright: 2005-06-14
  • Publisher: Wadsworth Publishing
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Supplemental Materials

What is included with this book?

Summary

Jackson's text successfully illustrates the integration between statistics and research methods by demonstrating the ways to use statistics in analyzing data collected during research. Jackson's combined text adopts an inviting narrative style that speaks directly to students and draws them into the material, overcoming the initial apprehension students may feel at having to learn both subject areas at once. She incorporates a student-friendly critical thinking approach and presents examples and exercises to which students can relate. Jackson clearly focuses on the logic of the process and the methodology aspect of research.

Author Biography

Sherri L. Jackson is Professor of Psychology at Jacksonville University in Jacksonville, Florida, where she has taught since 1988

Table of Contents

Thinking Like a Scientist
1(24)
Areas of Psychological Research
3(2)
Psychobiology
3(1)
Cognition
4(1)
Human Development
5(1)
Social Psychology
5(1)
Psychotherapy
5(1)
Sources of Knowledge
5(4)
Superstition and Intuition
5(1)
Authority
6(1)
Tenacity
7(1)
Rationalism
7(1)
Empiricism
8(1)
Science
8(1)
The Scientific (Critical Thinking) Approach and Psychology
9(3)
Systematic Empiricism
10(1)
Public Verification
10(1)
Solvable Problems
11(1)
Goals of Science
12(1)
Description
13(1)
Prediction
13(1)
Explanation
13(1)
Basic and Applied Research
13(1)
An Introduction to Research Methods in Science
14(5)
Descriptive Methods
14(1)
Predictive (Relational) Methods
15(2)
Explanatory Method
17(2)
Doing Science
19(1)
Proof and Disproof
20(2)
The Research Process
22(1)
Summary
22(1)
Key Terms
22(1)
Chapter Exercises
23(1)
Critical Thinking Check Answers
23(1)
Web Resources
24(1)
Getting Started: Ideas, Resources, and Ethics
25(24)
Selecting a Problem
26(1)
Reviewing the Literature
27(6)
Library Research
27(1)
Journals
27(2)
Psychological Abstracts
29(1)
PsycINFO and PsycLIT
30(1)
Social Science Citation Index and Science Citation Index
31(1)
Other Resources
31(2)
Reading a Journal Article: What to Expect
33(1)
Abstract
33(1)
Introduction
33(1)
Method
33(1)
Results
34(1)
Discussion
34(1)
Ethical Standards in Research with Human Participants
34(9)
Institutional Review Boards
36(1)
Informed Consent
36(6)
Risk
42(1)
Deception
42(1)
Debriefing
43(1)
Ethical Standards in Research with Children
43(1)
Ethical Standards in Research with Animals
44(3)
Summary
47(1)
Key Terms
48(1)
Chapter Exercises
48(1)
Critical Thinking Check Answers
48(1)
Web Resources
48(1)
Defining, Measuring, and Manipulating Variables
49(19)
Defining Variables
50(1)
Properties of Measurement
51(1)
Scales of Measurement
52(2)
Nominal Scale
52(1)
Ordinal Scale
52(1)
Interval Scale
53(1)
Ratio Scale
53(1)
Discrete and Continuous Variables
54(1)
Types of Measures
55(3)
Self-Report Measures
55(1)
Tests
55(1)
Behavioral Measures
56(1)
Physical Measures
57(1)
Reliability
58(4)
Error in Measurement
58(1)
How to Measure Reliability: Correlation Coefficients
59(1)
Types of Reliability
60(2)
Validity
62(2)
Content Validity
62(1)
Criterion Validity
63(1)
Construct Validity
63(1)
The Relationship Between Reliability and Validity
64(1)
Summary
65(1)
Key Terms
65(1)
Chapter Exercises
66(1)
Critical Thinking Check Answers
66(1)
Web Resources
67(1)
Descriptive Methods
68(21)
Observational Methods
69(5)
Naturalistic Observation
69(1)
Options When Using Observation
70(1)
Laboratory Observation
71(1)
Data Collection
72(2)
Case Study Method
74(1)
Archival Method
75(1)
Survey Methods
76(10)
Survey Construction
76(3)
Administering the Survey
79(3)
Sampling Techniques
82(4)
Summary
86(1)
Key Terms
86(1)
Chapter Exercises
86(1)
Critical Thinking Check Answers
87(1)
Web Resources
88(1)
Lab Resources
88(1)
Data Organization and Descriptive Statistics
89(33)
Organizing Data
90(5)
Frequency Distributions
90(2)
Graphs
92(3)
Descriptive Statistics
95(23)
Measures of Central Tendency
95(4)
Measures of Variation
99(7)
Types of Distributions
106(2)
z-Scores
108(3)
z-Scores, the Standard Normal Distribution, Probability, and Percentile Ranks
111(7)
Summary
118(1)
Key Terms
118(1)
Chapter Exercises
119(1)
Critical Thinking Check Answers
120(1)
Web Resources
120(1)
Statistical Software Resources
121(1)
Correlational Methods and Statistics
122(21)
Conducting Correlational Research
123(1)
Magnitude, Scatterplots, and Types of Relationships
123(5)
Magnitude
124(1)
Scatterplots
124(1)
Positive Relationships
125(1)
Negative Relationships
126(1)
No Relationship
126(1)
Curvilinear Relationships
126(2)
Misinterpreting Correlations
128(4)
The Assumptions of Causality and Directionality
128(1)
The Third-Variable Problem
129(1)
Restrictive Range
130(1)
Curvilinear Relationships
131(1)
Prediction and Correlation
132(1)
Statistical Analysis: Correlation Coefficients
132(5)
Pearson's Product-Moment Correlation Coefficient: What It Is and What It Does
133(3)
Alternative Correlation Coefficients
136(1)
Advanced Correlational Techniques: Regression Analysis
137(2)
Summary
139(1)
Key Terms
140(1)
Chapter Exercises
140(1)
Critical Thinking Check Answers
141(1)
Web Resources
141(1)
Lab Resources
142(1)
Statistical Software Resources
142(1)
Hypothesis Testing and Inferential Statistics
143(31)
Hypothesis Testing
144(6)
Null and Alternative Hypotheses
145(1)
One-and Two-Tailed Hypothesis Tests
146(1)
Type I and II Errors in Hypothesis Testing
147(1)
Statistical Significance and Errors
148(2)
Single-Sample Research and Inferential Statistics
150(1)
The z Test: What It Is and What It Does
151(10)
The Sampling Distribution
152(1)
The Standard Error of the Mean
153(1)
Calculations for the One-Tailed z Test
154(1)
Interpreting the One-Tailed z Test
155(2)
Calculations for the Two-Tailed z Test
157(1)
Interpreting the Two-Tailed z Test
157(2)
Statistical Power
159(1)
Assumptions and Appropriate Use of the z Test
160(1)
Confidence Intervals
161(2)
The t Test: What It Is and What It Does
163(6)
Student's t Distribution
163(1)
Calculations for the One-Tailed t Test
164(1)
The Estimated Standard Error of the Mean
165(1)
Interpreting the One-Tailed t Test
166(1)
Calculations for the Two-Tailed t Test
167(1)
Interpreting the Two-Tailed t Test
167(1)
Assumptions and Appropriate Use of the Single-Sample t Test
168(1)
Correlation Coefficients and Statistical Significance
169(1)
Summary
169(1)
Key Terms
170(1)
Chapter Exercises
170(2)
Critical Thinking Check Answers
172(1)
Web Resources
173(1)
Statistical Software Resources
173(1)
The Logic of Experimental Design
174(21)
Between-Participants Experimental Designs
175(11)
Control and Confounds
178(1)
Threats to Internal Validity
178(7)
Threats to External Validity
185(1)
Correlated-Groups Designs
186(5)
Within-Participants Experimental Designs
186(3)
Matched-Participants Experimental Designs
189(2)
Developmental Designs
191(1)
Cross-Sectional Designs
191(1)
Longitudinal Designs
192(1)
Sequential Designs
192(1)
Summary
192(1)
Key Terms
193(1)
Chapter Exercises
193(1)
Critical Thinking Check Answers
194(1)
Web Resources
194(1)
Lab Resources
194(1)
Inferential Statistics: Two-Group Designs
195(16)
Parametric Statistics for Two-Group Designs
196(12)
t Test for Independent Groups (Samples): What It Is and What It Does
197(5)
t Test for Correlated Groups: What It Is and What It Does
202(6)
Summary
208(1)
Key Terms
208(1)
Chapter Exercises
208(1)
Critical Thinking Check Answers
209(1)
Web Resources
210(1)
Statistical Software Resources
210(1)
Experimental Designs with More Than Two Levels of an Independent Variable
211(30)
Using Designs with More Than Two Levels of an Independent Variable
212(4)
Comparing More Than Two Kinds of Treatment in One Study
212(1)
Comparing Two or More Kinds of Treatment with the Control Group (No Treatment)
213(2)
Comparing a Placebo Group with the Control and Experimental Groups
215(1)
Analyzing the Multiple-Group Experiment
216(20)
Between-Participants Designs: One-Way Randomized ANOVA
216(13)
Correlated-Groups Designs: One-Way Repeated Measures ANOVA
229(7)
Summary
236(1)
Key Terms
237(1)
Chapter Exercises
237(2)
Critical Thinking Check Answers
239(1)
Web Resources
240(1)
Lab Resources
240(1)
Statistical Software Resources
240(1)
Complex Experimental Designs
241(23)
Using Designs with More Than One Independent Variable
242(7)
Factorial Notation and Factorial Designs
242(1)
Main Effects and Interaction Effects
243(3)
Possible Outcomes of a 2 x 2 Factorial Design
246(3)
Statistical Analysis of Complex Designs
249(11)
Two-Way Randomized ANOVA: What It Is and What It Does
249(10)
Two-Way Repeated Measures ANOVA
259(1)
Beyond the Two-Way ANOVA
259(1)
Summary
260(1)
Key Terms
260(1)
Chapter Exercises
260(2)
Critical Thinking Check Answers
262(1)
Web Resources
263(1)
Lab Resources
263(1)
Statistical Software Resources
263(1)
Quasi-Experimental and Single-Case Designs
264(18)
Conducting Quasi-Experimental Research
265(3)
Nonmanipulated Independent Variables
265(1)
An Example: Snow and Cholera
266(2)
Types of Quasi-Experimental Designs
268(3)
Single-Group Posttest-Only Design
268(1)
Single-Group Pretest/Posttest Design
268(1)
Single-Group Time-Series Design
269(1)
Nonequivalent Control Group Posttest-Only Design
270(1)
Nonequivalent Control Group Pretest/Posttest Design
270(1)
Multiple-Group Time-Series Design
271(1)
Internal Validity and Confounds in Quasi-Experimental Designs
271(1)
Statistical Analysis of Quasi-Experimental Designs
272(1)
Conducting Single-Case Research
273(2)
Types of Single-Case Designs
275(5)
Reversal Designs
275(1)
Multiple-Baseline Designs
276(4)
Summary
280(1)
Key Terms
280(1)
Chapter Exercises
280(1)
Critical Thinking Check Answers
281(1)
Web Resources
281(1)
Lab Resources
281(1)
Nonparametric Procedures
282(14)
Chi-Square (Χ2) Goodness-of-Fit Test: What It Is and What It Does
283(2)
Calculations for the Χ2 Goodness-of-Fit Test
283(1)
Interpreting the Χ2 Goodness-of-Fit Test
284(1)
Assumptions and Appropriate Use of the Χ2 Goodness-of-Fit Test
284(1)
Chi-Square (Χ2) Test of Independence: What It Is and What It Does
285(3)
Calculations for the Χ2 Test of Independence
285(1)
Interpreting the Χ2 Test of Independence
286(1)
Effect Size: Phi Coefficient
286(1)
Assumptions of the Χ2 Test of Independence
287(1)
Wilcoxon Rank-Sum Test: What It Is and What It Does
288(1)
Calculations for the Wilcoxon Rank-Sum Test
288(1)
Interpreting the Wilcoxon Rank-Sum Test
289(1)
Assumptions of the Wilcoxon Rank-Sum Test
289(1)
Wilcoxon Matched-Pairs Signed-Ranks T Test: What It Is and What It Does
289(3)
Calculations for the Wilcoxon Matched-Pairs Signed-Ranks T Test
290(1)
Interpreting the Wilcoxon Matched-Pairs Signed-Ranks T Test
291(1)
Assumptions of the Wilcoxon Matched-Pairs Signed-Ranks T Test
292(1)
Beyond the Wilcoxon Tests
292(1)
Summary
293(1)
Key Terms
293(1)
Chapter Exercises
294(1)
Critical Thinking Check Answers
295(1)
Web Resources
295(1)
APA Communication Guidelines
296(18)
Writing Clearly
297(1)
Avoiding Grammatical Problems
297(2)
Reporting Numbers
299(1)
Citing and Referencing
300(3)
Citation Style: One Author
301(1)
Citation Style: Multiple Authors
301(1)
Reference Style
301(2)
Typing and Word Processing
303(1)
Organizing the Paper
303(5)
Title Page
303(1)
Abstract
304(1)
Introduction
304(1)
Method
305(1)
Results
305(1)
Discussion
305(1)
References
306(1)
Appendixes and Author Note
306(1)
Tables and Figures
306(1)
The Use of Headings
307(1)
APA Formatting Checklist
308(1)
Conference Presentations
309(1)
Oral Presentations
309(1)
Poster Presentations
309(1)
Summary
310(1)
Chapter Exercises
310(1)
Critical Thinking Check Answers
310(1)
Web Resources
311(3)
Appendix A Statistical Tables 314(24)
Appendix B Computational Formulas for ANOVAs 338(2)
Appendix C Answers to Odd-Numbered Chapter Exercises 340(7)
Appendix D Sample APA Style Paper 347(17)
References 364(2)
Glossary 366(9)
Index 375

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