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Searching... | 30000010325310 | BF76.5 P53 2014 | Open Access Book | Book | Searching... |
Searching... | 33000000016424 | BF76.5 P53 2014 | Open Access Book | Book | Searching... |
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Summary
Summary
Research Methods: Designing and Conducting Research with a Real-World Focus provides the tools required to conduct relevant, high-quality research in both the classroom and the field. Carrie A. Picardi and Kevin D. Masick--psychologists with expertise in both teaching research methods and applying methods to diverse field settings--offer a unique perspective by integrating current research articles with field-specific scenarios. They draw from research methodology tactics, strategy, and constraints from practitioners across the social sciences and in business. This text effectively bridges the gap between theory and practice by demonstrating how research is done within an organizational setting, and supplies students with relevant, applicable examples to learn from.
Table of Contents
Preface | p. xv |
About the Authors | p. xvii |
Part I Foundation of Research Methods | p. 1 |
1 Introduction to Research Methods | p. 3 |
Research Process | p. 4 |
Research and Experiments | p. 5 |
How We Learn | p. 6 |
Box 1.1 Induction and Deduction | p. 7 |
Basic Versus Applied Research | p. 7 |
Box 1.2 Practitioner Spotlight: Basic Versus Applied Research | p. 8 |
Scientific Method | p. 9 |
Chapter Summary | p. 10 |
Discussion Questions | p. 10 |
Chapter Key Terms | p. 10 |
2 Variables, Measures, and Hypotheses | p. 11 |
Variables | p. 12 |
Box 2.1 Time Disguised | p. 14 |
Scales of Measurement | p. 15 |
Nominal Scale | p. 15 |
Ordinal Scale | p. 16 |
Interval Scale | p. 16 |
Ratio Scale | p. 17 |
Box 2.2 The Meaning of True 0 | p. 17 |
Hypotheses and Research Questions | p. 18 |
Theory-Driven Versus Data-Driven Hypotheses | p. 21 |
Directional Versus Nondirectional Hypotheses | p. 22 |
Descriptive Versus Causal Hypotheses | p. 23 |
Hypothesis Summary | p. 24 |
Chapter Summary | p. 24 |
Discussion Questions | p. 25 |
Chapter Key Terms | p. 25 |
3 Ethical and Legal Considerations in the Research Process | p. 27 |
What Is Ethics? | p. 27 |
Aren't Ethics and the Law the Same? | p. 28 |
The Ethical Evolution of Research | p. 28 |
Nuremberg Trials | p. 28 |
Milgram's Obedience Study (1963) | p. 30 |
Zimbardo's Stanford Prison Study (1971) | p. 30 |
The Tuskegee Experiments (1932) | p. 31 |
The Next Step: Ethical Standards to Ensure History Will Not Repeat Itself | p. 31 |
The Belmont Report | p. 31 |
Box 3.1 Privacy Matters: What Is the Difference Between Anonymity and Confidentiality? | p. 32 |
Box 3.2 Deception and Debriefing | p. 34 |
Ethics in Reporting Research Findings | p. 35 |
Legal Spotlight: Handling Real-World Data and Ensuring Compliance in Field Settings | p. 36 |
Health Care Settings | p. 38 |
Further Reading: Links to Ethical Standards and Codes of Conduct | p. 39 |
Chapter Summary | p. 40 |
Discussion Questions | p. 41 |
Chapter Key Terms | p. 42 |
4 Reliability | p. 43 |
Reliability Theories | p. 44 |
Goals of Reliability | p. 45 |
Test-Retest Reliability | p. 46 |
Interrater/Intrarater Reliability | p. 48 |
Parallel or Equivalent Forms Reliability | p. 49 |
Split Half Reliability | p. 49 |
Internal Consistency/Coefficient Alpha | p. 50 |
Box 4.1 In-Basket Test Reliability | p. 50 |
Reliability Summary | p. 51 |
Chapter Summary | p. 52 |
Discussion Questions | p. 53 |
Chapter Key Terms | p. 53 |
5 Statistical Conclusion and Internal Validity | p. 55 |
Box 5.1 Validity and Reliability Demystified | p. 56 |
Box 5.2 Practitioner Spotlight: Standardized Practices? | p. 57 |
Statistical Conclusion Validity | p. 58 |
Design of the Methodology | p. 59 |
Restriction of Range | p. 59 |
Heterogeneity of Units | p. 60 |
Box 5.3 Statistical Conclusion Validity Threats | p. 60 |
Extraneous Variance in Experimental Setting | p. 61 |
Measurement of the Variables | p. 61 |
Unreliability of Measures | p. 62 |
Unreliability of Treatment Implementation | p. 62 |
Components of the Statistical Analysis | p. 62 |
Low Statistical Power | p. 63 |
Fishing and Error Rate | p. 63 |
Box 5.4 The Effect of Conducting Multiple Tests | p. 64 |
Inaccurate Effect Size Estimation | p. 64 |
Violated Assumptions of Tests | p. 64 |
Statistical Conclusion Validity Summary | p. 65 |
Internal Validity | p. 65 |
Selection | p. 66 |
Box 5.5 Internal Validity Threats | p. 66 |
Ambiguous Temporal Precedence | p. 67 |
History | p. 67 |
Attrition | p. 68 |
Maturation | p. 68 |
Regression to the Mean | p. 68 |
Testing | p. 69 |
Instrumentation | p. 69 |
Internal Validity Summary | p. 70 |
Conclusion of Statistical Conclusion and Internal Validity | p. 70 |
Chapter Summary | p. 70 |
Discussion Questions | p. 71 |
Chapter Key Terms | p. 71 |
6 Construct and External Validity | p. 73 |
External Validity | p. 74 |
Variation in Participants | p. 75 |
Variation in Settings | p. 75 |
Variation in Treatments | p. 76 |
Variation in Outcomes | p. 76 |
External Validity Summary | p. 77 |
Construct Validity | p. 77 |
Box 6.1 Construct Validity From a Practitioner and Researcher Perspective | p. 78 |
Box 6.2 Construct Validity Threats | p. 79 |
Definition of Variables | p. 80 |
Inadequate Explication of Constructs | p. 80 |
Mono-Method Bias | p. 80 |
Construct Confounding | p. 81 |
Confounding Constructs With Levels of Constructs | p. 81 |
Researcher/Participant Issues | p. 82 |
Reactivity to Self-Report Changes | p. 82 |
Reactivity to the Experimental Situation | p. 83 |
Experimenter Expectancies | p. 83 |
Novelty and Disruption Effects | p. 84 |
Compensatory Equalization | p. 84 |
Box 6.3 Market Research | p. 84 |
Compensatory Rivalry and Resentful Demoralization | p. 85 |
Implementation of Design | p. 85 |
Treatment Sensitive Factorial Structure | p. 86 |
Treatment Diffusion | p. 86 |
Mono-Operation Bias | p. 86 |
Construct Validity Summary | p. 87 |
Other Validities | p. 88 |
Face Validity | p. 88 |
Content Validity | p. 89 |
Criterion-Related Validity | p. 89 |
Box 6.4 The Varying Views of Content Validity | p. 90 |
Convergent and Discriminant Validity | p. 90 |
Concurrent Validity | p. 91 |
Predictive Validity | p. 92 |
Chapter Summary | p. 93 |
Discussion Questions | p. 93 |
Chapter Key Terms | p. 93 |
Part II Research Designs | |
7 Experimental Research Designs | |
Box 7.1 Research Designs | p. 98 |
Requirements of Experimental Design | p. 98 |
Key Elements of Experimental Design | p. 99 |
Random Assignment Versus Random Selection | p. 99 |
Control | p. 100 |
Manipulation | p. 101 |
Measurement | p. 101 |
Experimental Research and Validity | p. 102 |
Applicability of Random Assignment | p. 103 |
Experimental Design Features | p. 104 |
Between Subjects Experiments | p. 107 |
Within Subjects Experiments | p. 109 |
Design Features Combined | p. 110 |
Experimental Design Summary | p. 111 |
Chapter Summary | p. 112 |
Discussion Questions | p. 112 |
Chapter Key Terms | p. 112 |
8 Quasi-Experimental Research Designs | p. 113 |
Requirements of Quasi-Experimental Design | p. 114 |
Key Elements of Quasi-Experimental Design | p. 115 |
Quasi-Experimental Design and Validity | p. 116 |
Quasi-Experimental Design Features | p. 118 |
Between Subjects Experiments | p. 122 |
Dealing With Individual Differences | p. 123 |
Within Subjects Experiments | p. 124 |
Design Features Combined | p. 125 |
Quasi-Experimental Design Summary | p. 126 |
Chapter Summary | p. 127 |
Discussion Questions | p. 127 |
Chapter Key Terms | p. 127 |
9 Nonexperimental Research Designs | p. 129 |
What Is Nonexperimental Research? | p. 130 |
Advantages and Disadvantages of Nonexperimental Designs | p. 131 |
Advantages | p. 131 |
Disadvantages | p. 131 |
Observation | p. 132 |
Obtrusive and Unobtrusive Observational Designs | p. 133 |
Box 9.1 Obtrusive Versus Unobtrusive Reactivity: Remember the Hawthorne Studies? | p. 134 |
Naturalistic and Controlled Observational Settings | p. 134 |
Box 9.2 Advantages and Disadvantages to Naturalistic and Controlled Observation Settings | p. 135 |
Archival Data Analysis | p. 136 |
Archival Data: Hard Copy, Electronic, and Multimedia Sources | p. 136 |
Archival Data: Statistical Records | p. 136 |
Survey Research Designs | p. 137 |
Case Studies | p. 137 |
Meta-Analysis | p. 138 |
Nonexperimental Designs and Qualitative Data Analysis | p. 140 |
Content Analysis | p. 140 |
The Coding System | p. 141 |
Box 9.3 Practitioner Spotlight: Using Nonexperimental Designs in Human Resource Management Practices | p. 142 |
Chapter Summary | p. 143 |
Discussion Questions | p. 144 |
Chapter Key Terms | p. 145 |
10 Survey Research Designs | p. 147 |
An Introduction to Survey Research | p. 147 |
Box 10.1 Survey or Questionnaire... Tomato or Tomahto? | p. 148 |
Questionnaire Construction | p. 149 |
Types of Questions | p. 149 |
Open-Ended and Close-Ended Questions | p. 150 |
Forced Choice Items | p. 151 |
Response Scales | p. 151 |
Frequency Response Scales | p. 152 |
Unipolar and Bipolar Response Scales | p. 153 |
Graphic Response Scales | p. 153 |
Item Quantity and Progression | p. 154 |
Questionnaire Implementation | p. 154 |
Sampling and Sample Size | p. 154 |
Sampling Techniques | p. 155 |
Box 10.2 Advantages and Disadvantages of Survey Research Delivery Modes | p. 157 |
Survey Research Issues | p. 159 |
Survey Research Errors | p. 161 |
Analyzing, Reporting, and Applying Survey Findings | p. 162 |
Box 10.3 Practitioner Spotlight: Organizational Survey Research/Correlational Research | p. 163 |
Chapter Summary | p. 166 |
Discussion Questions | p. 167 |
Chapter Key Terms | p. 168 |
Part III Research Interpretation and Application | p. 169 |
11 Integration of Statistical Terminology With Validity and Statistical Analyses | p. 171 |
Construct Validity and Constructs | p. 172 |
Statistical Conclusion Validity and Statistical Terms | p. 176 |
Alpha and Type I Error | p. 177 |
Beta and Type II Error | p. 177 |
Power | p. 178 |
Descriptive and Inferential Statistics | p. 180 |
Central Tendency | p. 180 |
Variability | p. 181 |
Closing Thoughts on Statistical Terminology | p. 184 |
Statistical Analysis and Scales of Measurement | p. 184 |
Parametric and Nonparametric Statistics | p. 185 |
Steps to Statistical Analysis | p. 186 |
Prediction Analysis | p. 189 |
Statistical Analysis Interpretation | p. 189 |
Closing Thoughts on Statistics | p. 190 |
Chapter Summary | p. 191 |
Discussion Questions | p. 192 |
Chapter Key Terms | p. 192 |
12 Generalization of Results to Field Settings | p. 193 |
Translating Results Into Meaningful Information | p. 194 |
Elements of Generalization | p. 194 |
A Final Note | p. 199 |
Chapter Summary | p. 200 |
Discussion Questions | p. 201 |
Chapter Key Terms | p. 202 |
13 Bridging the Science-Practice Gap | p. 203 |
Evolution of Applied Research: From the Lab to the Field | p. 203 |
The Challenges of Applied Research | p. 205 |
Challenge #1 Prioritizing Needs and Handling Constraints | p. 205 |
Challenge #2 Maintaining Scientific Rigor Behind the Scenes | p. 207 |
Challenge #3 Ensuring Value for Applied Settings | p. 210 |
Box 13.1 Practitioner Spotlight: A Case Study From the Organizational Development Department | p. 213 |
Chapter Summary | p. 216 |
Discussion Questions | p. 217 |
Chapter Key Terms | p. 218 |
14 Writing a Research Report | p. 219 |
Structure of a Research Report | p. 219 |
Section 1 Title Page | p. 220 |
Section 2 Abstract | p. 222 |
Box 14.1 Selecting Research Articles Based on Abstracts | p. 223 |
Section 3 | p. 225 |
Section 4 Method | p. 228 |
Section 5 Results | p. 230 |
Section 6 Discussion | p. 232 |
Section 7 References | p. 234 |
Section 8 Appendices | p. 235 |
Putting It All Together-Final Thoughts | p. 239 |
Chapter Summary | p. 241 |
Discussion Questions | p. 242 |
Chapter Key Terms | p. 242 |
Glossary | p. 243 |
References | p. 257 |
Index | p. 265 |