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Bundle: Evaluating Research: Methodology for People Who Need to Read Research plus Fink: Conducting Research Literature Reviews: From the Internet to Paper, 3rd Ed plus Creswell: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd Ed [Multiple-component retail product]

(Department of Family Medicine University of Michigan), (UCLA Los Angeles USA), (Radford University USA)
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  • Ilmumisaeg: 18-Mar-2010
  • Kirjastus: Sage Publications, Inc
  • ISBN-10: 141298954X
  • ISBN-13: 9781412989541
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  • Formaat: Multiple-component retail product, kõrgus x laius x paksus: 254x185x51 mm, kaal: 1588 g, 1 Item, Contains 1 Paperback / softback
  • Ilmumisaeg: 18-Mar-2010
  • Kirjastus: Sage Publications, Inc
  • ISBN-10: 141298954X
  • ISBN-13: 9781412989541
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Dane: Evaluating Research: Methodology for People Who Need to Read Research
Designed for anyone who needs to learn to read and understand empirical reports in the social and behavioral sciences, this multidisciplinary book provides individuals with the knowledge necessary to understand research without overwhelming them with information about how to conduct research. His enthusiasm for methods present on every page, author Francis C. Dane wants readers to have the necessary skills to evaluate research and critically use empirical results.

Fink: Conducting Research Literature Reviews: From the Internet to Paper, Third Edition
Providing readers with an accessible but in-depth look at how to synthesize research literature, bestselling author Arlene Fink shows researchers how to justify the need for and significance of research, and explain a study's findings.

Creswell: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, Third Edition
This is the ONLY book across the social and behavioral sciences that enables readers to compare three approaches to research-qualitative, quantitative, and mixed methods-in a single research methods text. Written in a user-friendly manner, Creswell's text cuts to the core of what a reader needs to know to read and design research by showcasing ideas in a scaffold approach to allow readers to approach ideas from the simple to the complex.
Preface xiii
Acknowledgments xv
1 Introduction
1(30)
Introduction
2(4)
Definitions
3(3)
Goals of Research
6(6)
Exploration
7(1)
Description
8(1)
Prediction
9(1)
Explanation
9(1)
Action
10(2)
Evaluation of Research
12(6)
Who
13(1)
What
14(2)
Where
16(1)
When
16(1)
Why
17(1)
How
18(1)
Conducting a Research Review
18(5)
Choosing a Topic
19(1)
Operationalization
20(3)
Finding Research
23(6)
Published Sources
24(1)
Key Topics
25(1)
Key Authors
26(1)
Key Studies
27(1)
Unpublished Studies
28(1)
Summary
29(1)
Exercises
30(1)
2 The Scientific Approach
31(28)
Introduction
32(1)
A Philosophy of Science
32(9)
When Is Something True?
33(3)
How Can We Tell Which Theory Is Better?
36(2)
How Can We Put What We Know Into Practice?
38(1)
Why Do We Do It the Way We Do?
39(2)
Science and Nonscience Compared
41(5)
Observation
41(1)
Logical Analysis
42(1)
Research Reports
43(1)
Definitive Studies
44(1)
Determinism
45(1)
Ethics of Consuming Research
46(9)
Ethical Principles of Research
47(8)
Summary
55(2)
Exercises
57(2)
3 Reading a Research Report
59(20)
Introduction
59(2)
Research Report Organization
61(15)
Introduction
63(3)
The Method Section
66(3)
The Results Section
69(4)
Conclusions
73(2)
Other Sections
75(1)
Summary
76(1)
Exercises
77(2)
4 Conceptual Overview of Statistical Analyses
79(26)
Introduction
80(1)
Exploratory Research
81(4)
Appropriate Questions for Exploratory Research
81(1)
Appropriate Statistics for Exploratory Research
81(4)
Descriptive Research
85(11)
Appropriate Questions for Descriptive Research
85(1)
Appropriate Statistics for Descriptive Research
85(11)
Predictive Research
96(5)
Appropriate Questions for Predictive Research
97(1)
Prerequisites for Predictive Research
98(1)
Statistics for Predictive Research
98(3)
Explanatory Research
101(1)
Appropriate Questions for Explanatory Research
101(1)
Appropriate Statistics for Explanatory Research
102(1)
Summary
102(1)
Exercises
103(2)
5 Sampling
105(22)
Introduction
106(2)
Sampling Distributions
108(8)
The Population
109(1)
Random Selection
110(1)
Standard Error
111(2)
Confidence Intervals
113(1)
Sample Size
114(2)
Probability Sampling
116(5)
Simple Random Sampling
116(1)
Systematic Random Sampling
116(2)
Stratified Random Sampling
118(1)
Cluster Sampling
118(3)
Nonprobability Sampling
121(3)
Accidental Sampling
121(1)
Purposive Sampling
122(1)
Quota Sampling
123(1)
Representative Samples
124(1)
Summary
125(1)
Exercises
126(1)
6 Measurement
127(34)
Introduction
128(1)
Dimensionality
129(1)
Measurement Levels
129(5)
Nominal Measurement
129(2)
Ordinal Measurement
131(1)
Interval Measurement
132(1)
Ratio Measurement
133(1)
Reliability
134(6)
Interrater Reliability
135(1)
Test-Retest Reliability
136(1)
Alternate-Forms Reliability
136(1)
Split-Half Reliability
137(1)
Item-Total Reliability
138(2)
Validity
140(4)
Face Validity
140(1)
Concurrent Validity
141(1)
Predictive Validity
141(1)
Construct Validity
142(2)
Epistemic Correlation
144(1)
Scaling
145(12)
Common Aspects of Scales
146(2)
Formats for Scale Items
148(3)
Types of Scales
151(6)
Summary
157(2)
Exercises
159(2)
7 Experimental Research
161(36)
Introduction
161(1)
Causal Analysis in Experimental Research
162(3)
Temporal Priority
162(1)
Control Over Variables
163(2)
Random Assignment
165(1)
Demonstration Versus Demography
165(2)
Alternative Explanations for Research Results
167(11)
History Effects
167(1)
Maturation Effects
168(1)
Testing Effects
169(1)
Instrumentation Effects
170(1)
Statistical Regression Effects
171(2)
Selection Effects
173(1)
Mortality Effects
174(2)
Participant Bias
176(1)
Experimenter Bias
177(1)
Experimental Design
178(15)
The Basic Design
180(1)
The Basic Pretest Design
181(2)
The Solomon Four-Group Design
183(2)
Factorial Design
185(4)
Repeated Measures Design
189(3)
Participant Characteristics
192(1)
Demonstration Versus Demography Again
193(1)
Summary
194(1)
Exercises
195(2)
8 Quasi-Experimental Research
197(20)
Introduction
197(2)
Time-Series Designs
199(5)
Interrupted Time-Series Design
200(3)
Multiple Time-Series Design
203(1)
Regression-Discontinuity Designs
204(3)
Nonequivalent Groups Basic Pretest Designs
207(1)
Self-Selection
208(1)
Single-Participant Designs
209(4)
Case Study Design
209(1)
Baseline Design
210(2)
Withdrawal Design
212(1)
Data Analyses
213(1)
Summary
213(2)
Exercises
215(2)
9 Survey Research
217(30)
Introduction
218(2)
Survey Content
220(2)
Survey Instruments
222(6)
Survey Topics
223(1)
Survey Instructions
224(1)
Survey Formats
225(1)
Arrangement of Survey Items
226(1)
Pretesting Survey Instruments
227(1)
Administering Surveys
228(9)
Face-to-Face Interviews
229(2)
Telephone Interviews
231(2)
Mail Surveys
233(1)
Comparisons Among Administration Methods
234(1)
Mixed-Method Surveys
235(2)
Data Analysis in Survey Research
237(8)
Description
237(2)
Association
239(1)
Elaboration
240(5)
Summary
245(1)
Exercises
246(1)
10 Field Research
247(26)
Introduction
247(2)
Validity of Field Research
249(2)
Internal Validity
250(1)
External Validity
251(1)
Intrusion in Field Research
251(2)
Intrusion Into Observations of Behaviors
251(1)
Intrusiveness of Settings
252(1)
Intrusiveness of Treatments
252(1)
Systematic Observation in Field Research
253(8)
Selecting Events
253(3)
Recording Events
256(1)
Coding Events
257(1)
Interpreting Events
258(1)
Sources of Error
259(2)
Validity
261(1)
Participant Observation
261(6)
Levels of Participation
261(2)
Selecting Settings
263(1)
Recording Observations
264(2)
Coding Observations
266(1)
Interpreting Observations
266(1)
Numerical Data Analyses
267(1)
Description
267(1)
Correlation
268(1)
Report Reading
268(2)
Summary
270(1)
Exercises
271(2)
11 Archival Research
273(24)
Introduction
273(2)
Content Analysis
275(7)
Who---The Source of Messages
276(2)
Says What---The Content of Messages
278(1)
To Whom---The Audience of Messages
279(1)
How---Communication Techniques in Messages
280(1)
With What Effect---The Effect of Messages
281(1)
Why---The Reasons for Communications
282(1)
Methodological Issues in Content Analysis
282(6)
Quantification in Content Analysis
285(3)
Existing Data Analysis
288(5)
Applications of Existing Data Analysis
289(4)
Methodological Issues in Existing Data Analysis
293(2)
Summary
295(1)
Exercises
296(1)
12 Evaluation Research
297
Introduction
298(1)
Summative and Formative Evaluation
299(1)
Consumers of Evaluation Research
300(1)
The Hartford Project: An Example of Evaluation Research
300(7)
Operationalization
300(1)
Similarity to Basic Research
301(1)
The Problem
301(1)
The Program
302(1)
The Questions
303(1)
The Measures
304(2)
Ecosystem Measures
306(1)
The Results
306(1)
The Controversy Over the Use of Experiments in Evaluation Research
307(3)
Difficulties With Experiments in Evaluation Research
307(1)
Qualitative Information in Evaluation Research
308(1)
Innovation in Evaluation Research
309(1)
Ethics in Evaluation Research
310(1)
Ethical Considerations in Evaluation Research
310(4)
Formulation and Negotiation
311(1)
Structure and Design
312(1)
Data Collection and Preparation
312(1)
Data Analysis and Interpretation
313(1)
Communication and Disclosure
313(1)
Use of Results
314(1)
Summary
314(1)
Exercises
315
Epilogue 317(2)
Glossary 319(20)
References 339(14)
Author Index 353(4)
Subject Index 357(14)
About the Author 371
Preface xiii
Acknowledgments xv
About the Author xvii
1 Reviewing the Literature: Why? For Whom? How?
1(54)
A Reader's Guide
1(1)
Purpose of This
Chapter
2(1)
What Is a Research Literature Review? Why Do One?
3(10)
Write Proposals for Funding
6(1)
Write Proposals for Academic Degrees
7(1)
Describe and Explain Current Knowledge to Guide Professional Practice
8(1)
Identify Effective Research and Development Methods
9(1)
Identify Experts to Help Interpret Existing Literature and Identify Unpublished Sources of Information
9(1)
Identify Funding Sources and Works in Progress
10(1)
Satisfy Personal Curiosity
10(3)
Gaining Control: Experiments and Observations
13(2)
An Experimental Study
14(1)
An Observational Study
15(1)
Systematic, Explicit, Comprehensive, and Reproducible: Four Key Words
15(1)
Choosing an Online Bibliographic Database
16(12)
Public and Private Online Bibliographic Databases
16(4)
What Exactly Do You Need to Find?
20(1)
How Do You Search for What You Want to Find? Key Words, Descriptors, Identifiers, and the Thesaurus
21(7)
How Do You Ask for Information? Searching With Boolean Operators
28(5)
Three Examples of Boolean Logic
28(5)
Using the Web of Science: A Case Study
33(2)
Pausing During the Search
35(1)
Changing the Course of the Search
35(1)
Changing the Course of a Literature Review Search: Expanding the Scope
36(1)
Supplementing the Online Search
36(7)
Reasons to Supplement Electronic Searches
36(1)
Reviewing References in High-Quality Studies
37(1)
Is Everything Worthwhile Published?
38(1)
Bring in the Experts
39(2)
Cautiously Approach the Web
41(2)
Organizing the Research Literature: Building a Virtual Filing Cabinet
43(1)
Summary of Key Points
44(1)
Exercises
45(4)
Answers
49(2)
Online Literature Reviews
51(2)
Suggested Readings
53(1)
Notes
54(1)
2 Searching and Screening: The Practical Screen and Methodological Quality (Part 1---Research Design and Sampling)
55(54)
A Reader's Guide
55(1)
Purpose of This
Chapter
56(3)
Search Screen 1 The Practical Screen
59(3)
Including and Excluding Studies: Typical Practical Screening Criteria for Literature Review Searches
59(2)
Practical Screening Criteria: Using Inclusion and Exclusion Criteria
61(1)
Search Screen 2 Methodological Quality Screening Criteria, Part 1---Research Design and Sampling
62(12)
Criterion for Quality: Research Design
63(3)
Random Selection and Random Assignment: Two Examples
66(3)
Concurrent Controls but No Random Assignment
69(2)
Self-Controls
71(2)
Historical Controls or Existing Data
73(1)
Observational Designs in Brief
74(6)
Cohort Designs
74(4)
Case Control Designs
78(2)
A Note on Other Designs and Studies: Cross-Sectional Surveys and Consensus Statements
80(8)
Cross-Sectional Surveys
80(4)
Consensus Statements
84(1)
Books
84(1)
Internal and External Validity
84(4)
Criterion for Quality: Sampling
88(6)
What Is a Sample?
88(1)
Inclusion and Exclusion Criteria or Eligibility of Subjects
89(2)
Methods of Sampling
91(1)
Simple Random Sampling
92(1)
Systematic Sampling
92(1)
Stratified Sampling
92(1)
Cluster Sampling
93(1)
Convenience Sampling
94(1)
The Sampling Unit
94(1)
The Size of the Sample
95(1)
Response Rate
95(4)
Nonresponse: Subjects and Items
96(3)
Summary of Key Points
99(4)
Exercises
103(2)
Answers
105(1)
Suggested Readings
106(3)
3 Searching and Screening: Methodological Quality (Part 2---Collection, Interventions, Analysis, Results, and Conclusions)
109(52)
A Reader's Guide
109(1)
Purpose of This
Chapter
110(1)
Data Collection and Data Sources: Methods and Measures
110(10)
Reliability
114(2)
Validity
116(4)
Interventions and Programs: Reviewing the Research Literature to Find Out What Works
120(3)
Two Versions of a Program Description
121(2)
Information Analysis: Statistical Methods in the Research Literature
123(28)
Statistical Methods and What to Look For: An Overview
123(1)
Independent and Dependent Variables
124(2)
Measurement Scales and Their Data
126(2)
Statistical and Practical Significance
128(3)
Confidence Intervals
131(2)
Which Analytic Method Is Best?
133(6)
The Results
139(1)
Conclusions
140(3)
Using Formal Systems to Evaluate Research
143(1)
Reviewing Qualitative Research: A Special Note
144(7)
Summary of Key Points
151(3)
Exercises
154(1)
Answers
155(2)
Suggested Readings
157(4)
4 Doing the Review: A Reader's Guide
Chapter
161(32)
A Reader's Guide
161(1)
Purpose of This
Chapter
161(1)
Types of Information: Methods and Content
162(3)
Eligibility and Actuality
165(7)
Reliable and Valid Reviews
172(2)
Measuring Reliability: The Kappa Statistic
172(2)
Uniform Data Collection: The Literature Review Survey Questionnaire
174(7)
Uniform Data Collection: Definitions and More
181(3)
Training Reviewers
182(2)
Pilot Testing the Review Process
184(1)
Establishing Validity
185(1)
Monitoring Quality
186(1)
Collecting Data From the Literature: A Checklist
186(1)
Summary of Key Points
187(1)
Exercises
188(1)
Answers
189(4)
5 What Did You Find? Synthesizing Results
193
A Reader's Guide
193(1)
Purpose of This
Chapter
194(1)
Now That You Have Done It, What Do You Do With It?
194(12)
Reviews Describe Current Knowledge
196(2)
Reviews Support the Need for and Significance of New Research
198(1)
Reviews Explain Research Findings
199(1)
Reviews Describe the Quality of Current Research
200(6)
Descriptive Syntheses or Reviews
206(3)
Examples of Descriptive Literature Reviews
206(3)
Meta-Analysis
209(16)
What to Look for in a Meta-Analysis: The Seven Steps
210(11)
Fixed Versus Random Effects
221(2)
Cumulative Meta-Analysis
223(1)
Large Studies Versus Meta-Analysis of Smaller Trials: Comparing Results
224(1)
Supporters and Critics
224(1)
Displaying Meta-Analysis Results
225(1)
Meta-Analyses in Practice: Examples
225(8)
Statistical Interlude
230(3)
Descriptive Review Versus Meta-Analysis
233(1)
Summary of Key Points
234(2)
Exercises
236(3)
Answers
239(1)
Suggested Readings
239(2)
Notes
241
Author Index 242(4)
Subject Index 246
Analytic Contents of Research Techniques xv
Preface xix
Purpose xix
Audience xix
Format xx
Outline of
Chapters
xxii
Acknowledgments xxvii
About the Author xxix
Part I Preliminary Considerations
1(94)
1 The Selection of a Research Design
3(20)
The Three Types of Designs
3(2)
Three Components Involved in a Design
5(11)
Philosophical Worldviews
5(1)
The Postpositivist Worldview
6(2)
The Social Constructivist Worldview
8(1)
The Advocacy and Participatory Worldview
9(1)
The Pragmatic Worldview
10(1)
Strategies of Inquiry
11(1)
Quantitative Strategies
12(1)
Qualitative Strategies
12(2)
Mixed Methods Strategies
14(1)
Research Methods
15(1)
Research Designs as Worldviews, Strategies, and Methods
16(2)
Criteria for Selecting a Research Design
18(2)
The Research Problem
18(1)
Personal Experiences
19(1)
Audience
19(1)
Summary
20(1)
Writing Exercises
20(1)
Additional Readings
20(3)
2 Review of the Literature
23(26)
The Research Topic
23(2)
The Literature Review
25(20)
The Use of the Literature
26(3)
Design Techniques
29(1)
Steps in Conducting a Literature Review
29(1)
Searching Computerized Databases
30(2)
A Priority for Selecting Literature Material
32(1)
A Literature Map of the Research
33(3)
Abstracting Studies
36(1)
Example 2.1 Literature Review in a Quantitative Study
37(1)
Example 2.2 Literature Review in a Study Advancing a Typology
37(1)
Style Manuals
38(1)
The Definition of Terms
39(3)
Example 2.3 Terms Defined in a Mixed Methods Dissertation
42(1)
Example 2.4 Terms Defined in an Independent Variables Section
43(1)
A Quantitative or Mixed Methods Literature Review
43(2)
Summary
45(1)
Writing Exercises
46(1)
Additional Readings
46(3)
3 The Use of Theory
49(24)
Quantitative Theory Use
49(12)
Variables in Quantitative Research
49(2)
Definition of a Theory
51(2)
Forms of Theories
53(2)
Placement of Quantitative Theories
55(2)
Writing a Quantitative Theoretical Perspective
57(2)
Example 3.1 A Quantitative Theory Section
59(2)
Qualitative Theory Use
61(5)
Variation in Theory Use in Qualitative Research
61(4)
Locating the Theory in Qualitative Research
65(1)
Example 3.2 A Theory Early in a Qualitative Study
65(1)
Example 3.3 A Theory at the End of a Qualitative Study
65(1)
Mixed Methods Theory Use
66(3)
Example 3.4 Theory in a Transformative-Emancipatory Mixed Methods Study
69(1)
Summary
69(1)
Writing Exercises
70(1)
Additional Readings
71(2)
4 Writing Strategies and Ethical Considerations
73(22)
Writing the Proposal
73(6)
Sections in a Proposal
73(1)
Format for a Qualitative Proposal
74(1)
Example 4.1 A Qualitative Constructivist/Interpretivist Format
74(1)
Example 4.2 A Qualitative Advocacy/Participatory Format
75(1)
Format for a Quantitative Proposal
76(1)
Example 4.3 A Quantitative Format
76(1)
Format for a Mixed Methods Proposal
77(1)
Example 4.4 A Mixed Methods Format
77(1)
Designing the Sections of a Proposal
78(1)
Writing Ideas
79(8)
Writing as Thinking
79(1)
The Habit of Writing
80(2)
Readability of the Manuscript
82(2)
Example 4.5 An Illustration of the Hook-and-Eye Technique
84(1)
Voice, Tense, and "Fat"
85(2)
Ethical Issues to Anticipate
87(6)
Ethical Issues in the Research Problem
88(1)
Ethical Issues in the Purpose and Questions
88(1)
Ethical Issues in Data Collection
89(2)
Ethical Issues in Data Analysis and Interpretation
91(1)
Ethical Issues in Writing and Disseminating the Research
92(1)
Summary
93(1)
Writing Exercises
93(1)
Additional Readings
94(1)
Part II Designing Research
95(132)
5 The Introduction
97(14)
The Importance of Introductions
97(1)
Qualitative, Quantitative, and Mixed Methods Introductions
98(2)
A Model for an Introduction
100(8)
An Illustration
100(2)
The Research Problem
102(2)
Studies Addressing the Problem
104(2)
Deficiencies in Past Literature
106(1)
Example 5.1 Deficiencies in the Literature---Needed Studies
106(1)
Example 5.2 Deficiencies in the Literature---Few Studies
107(1)
Significance of a Study for Audiences
107(1)
Example 5.3 Significance of the Study Stated in an Introduction to a Quantitative Study
108(1)
Summary
108(1)
Writing Exercises
109(1)
Additional Readings
109(2)
6 The Purpose Statement
111(18)
Significance and Meaning of a Purpose Statement
111(14)
A Qualitative Purpose Statement
112(2)
Example 6.1 A Purpose Statement in a Qualitative Phenomenology Study
114(1)
Example 6.2 A Purpose Statement in a Case Study
115(1)
Example 6.3 A Purpose Statement in an Ethnography
115(1)
Example 6.4 A Purpose Statement in a Grounded Theory Study
116(1)
A Quantitative Purpose Statement
116(2)
Example 6.5 A Purpose Statement in a Published Survey Study
118(1)
Example 6.6 A Purpose Statement in a Dissertation Survey Study
119(1)
Example 6.7 A Purpose Statement in an Experimental Study
120(1)
A Mixed Methods Purpose Statement
120(3)
Example 6.8 A Concurrent Mixed Methods Purpose Statement
123(1)
Example 6.9 A Sequential Mixed Methods Purpose Statement
124(1)
Example 6.10 A Transformative Concurrent Mixed Methods Purpose Statement
125(1)
Summary
125(1)
Writing Exercises
126(1)
Additional Readings
126(3)
7 Research Questions and Hypotheses
129(16)
Qualitative Research Questions
129(3)
Example 7.1 A Qualitative Central Question From an Ethnography
131(1)
Example 7.2 Qualitative Central Questions From a Case Study
132(1)
Quantitative Research Questions and Hypotheses
132(6)
Example 7.3 A Null Hypothesis
134(1)
Example 7.4 Directional Hypotheses
134(1)
Example 7.5 Nondirectional and Directional Hypotheses
135(1)
Example 7.6 Standard Use of Language in Hypotheses
136(1)
A Model for Descriptive Questions and Hypotheses
136(1)
Example 7.7 Descriptive and Inferential Questions
136(2)
Mixed Methods Research Questions and Hypotheses
138(3)
Example 7.8 Hypotheses and Research Questions in a Mixed Methods Study
139(2)
Example 7.9 A Mixed Methods Question Written in Terms of Mixing Procedures
141(1)
Summary
141(1)
Writing Exercises
142(1)
Additional Readings
142(3)
8 Quantitative Methods
145(28)
Defining Surveys and Experiments
145(1)
Components of a Survey Method Plan
146(9)
The Survey Design
146(1)
The Population and Sample
147(2)
Instrumentation
149(1)
Variables in the Study
150(1)
Data Analysis and Interpretation
151(3)
Example 8.1 A Survey Method Section
154(1)
Components of an Experimental Method Plan
155(14)
Participants
155(2)
Variables
157(1)
Instrumentation and Materials
158(1)
Experimental Procedures
158(2)
Example 8.2 Pre-Experimental Designs
160(1)
Example 8.3 Quasi-Experimental Designs
160(1)
Example 8.4 True Experimental Designs
161(1)
Example 8.5 Single-Subject Designs
162(1)
Threats to Validity
162(3)
The Procedure
165(1)
Data Analysis
166(1)
Interpreting Results
167(1)
Example 8.6 An Experimental Method Section
167(2)
Summary
169(1)
Writing Exercises
169(1)
Additional Readings
170(3)
9 Qualitative Procedures
173(30)
The Characteristics of Qualitative Research
173(3)
Strategies of Inquiry
176(1)
The Researcher's Role
177(1)
Data Collection Procedures
178(3)
Data Recording Procedures
181(2)
Data Analysis and Interpretation
183(7)
Reliability, Validity, and Generalizability
190(3)
The Qualitative Write-Up
193(8)
Example 9.1 Qualitative Procedures
194(7)
Summary
201(1)
Writing Exercises
202(1)
Additional Readings
202(1)
10 Mixed Methods Procedures
203(24)
Components of Mixed Methods Procedures
203(1)
The Nature of Mixed Methods Research
204(2)
Types of Mixed Methods Strategies and Visual Models
206(11)
Planning Mixed Methods Procedures
206(1)
Timing
206(1)
Weighting
206(1)
Mixing
207(1)
Theorizing or Transforming Perspectives
208(1)
Alternative Strategies and Visual Models
208(3)
Sequential Explanatory Strategy
211(1)
Sequential Exploratory Strategy
211(1)
Sequential Transformative Strategy
212(1)
Concurrent Triangulation Strategy
213(1)
Concurrent Embedded Strategy
214(1)
Concurrent Transformative Strategy
215(1)
Choosing a Mixed Methods Strategy
216(1)
Data Collection Procedures
217(1)
Data Analysis and Validation Procedures
218(2)
Report Presentation Structure
220(1)
Examples of Mixed Methods Procedures
220(4)
Example 10.1 A Sequential Strategy of Inquiry
221(1)
Example 10.2 A Concurrent Strategy of Inquiry
221(2)
Example 10.3 A Transformative Strategy of Inquiry
223(1)
Summary
224(1)
Writing Exercises
224(1)
Additional Readings
225(2)
Glossary 227(10)
References 237(10)
Author Index 247(4)
Subject Index 251