The Sage Handbook of Methods in Social Psychology
eBook - PDF

The Sage Handbook of Methods in Social Psychology

  1. 560 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

The Sage Handbook of Methods in Social Psychology

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About This Book

The genius of social psychology as a field has been its ability to investigate the seemingly complicated behaviors that characterize humans as social creatures. The SAGE Handbook of Methods in Social Psychology simplifies this complexity by providing researchers and students with an overview of the rich history of methodological innovation in both basic and applied research within social psychology.

This Handbook is a vital resource for behavioral scientists in the academic and research settings who are interested in learning about modern perspectives on classic and innovative methodological approaches in social psychology. Also recommended for undergraduate and graduate students enrolled in social psychology methods courses.

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Yes, you can access The Sage Handbook of Methods in Social Psychology by Carol Sansone, Carolyn C. Morf, A. T. Panter in PDF and/or ePUB format, as well as other popular books in Psicologia & Psicologia sociale. We have over one million books available in our catalogue for you to explore.

Information

Year
2003
ISBN
9781452261645
Edition
1

Table of contents

  1. Cover
  2. Detailed Contents
  3. Preface
  4. Acknowledgments
  5. Reference
  6. Part I - Introduction and Overview
  7. Chapter 1 - The Research Process: Of Big Pictures, Little Details, and the Social Psychological Road in between
  8. The Research Process
  9. The Starting Point: The Phenomena
  10. The Research Question
  11. To Whom does the Question Apply?
  12. Operationalizations and Design
  13. Can We Answer the Question?
  14. Organization of This Handbook
  15. Organizing Principles
  16. Specific Organization
  17. Part II: Fundamental Issues in Social Psychological Research
  18. Part III: Design and Analysis
  19. Part IV: Emerging Interdisciplinary Approaches
  20. Part V: The Application of Social Psychology and Its Methods to Other Domains
  21. Conclusion
  22. References
  23. Part II - Fundamental Issues in Social Psychological Research
  24. Chapter 2 - The Methodological Assumptions of Social Psychology: The Mutual Dependence of Substantive Theory and Method Choice
  25. Introduction
  26. The Hypothetico-Deductive Method
  27. The Types of Theory That Social Psychologists Construct
  28. The Theory-Hypothesis Link
  29. Form of Data Collection
  30. The Dual Hegemony of Anova and the Laboratory Experiment
  31. Specific Theoretical Concerns and Their Methodological Implications
  32. The Social Cognitive Revolution
  33. The Relative Neglect of Theories of Interpersonal Dynamics
  34. The Neglect of High-Impact Manipulations and the Kinds of Theory They Promote
  35. The Average Person as the Locus of Explanation
  36. The Assumption of Irrelevant Domains and Hence the Generation of Theories with Minimal Grounded Content
  37. Conclusion
  38. References
  39. Chapter 3 - Ethical Issues in Social Psychology Research
  40. Chapter Overview
  41. The Evolution of Ethical Debate and Regulation in Social Psychology
  42. Governmental Regulations for Behavioral Research in the United States
  43. Professional Ethical Standards
  44. Ethical Dilemmas in Social Psychological Research
  45. Defining "Ethics," "Morality," and "Ethical Dilemma"
  46. Ethical Issues in the Conduct of Laboratory, Field, and Applied Research
  47. Laboratory Research Issues
  48. Field Research Issues
  49. Privacy
  50. Informed Consent
  51. Social Psychology Research and the Internet
  52. Applied Research Issues
  53. Ethical Safeguards and Institutional Review
  54. Debriefing and Other Safeguards
  55. Institutional Review
  56. Impact and Effectiveness of the Review Process
  57. Conclusion: Ethical Challenges and Opportunities
  58. References
  59. Chapter 4 - Developing a Program of Research
  60. Start by Knowing That Many Perspectives are not Yet Represented
  61. Compelling, Coherent Hypotheses: What's the Big Picture?
  62. Intellectual Sources
  63. Personal Sources
  64. Group Sources
  65. Worldview Sources
  66. General Principles, Regardless of Source
  67. Convincing Research: Read This Book
  68. Readable Write-Ups Readers will Read
  69. Outlets: Visible and Invisible
  70. Programmatic Approach: Follow Your Bliss
  71. Collaboration: Beside Every Good Researcher Stands a Team
  72. Teaching: A Piece of the Research Enterprise
  73. Funding: Aha! Plus . . .
  74. Service: Giving It Away
  75. Conclusion: From Madness to the Methods
  76. References
  77. Part III - Design and Analysis
  78. Section A. Implications of a Heterogeneous Population: Deciding for Whom to Test the Research Question(s), Why, and How
  79. Chapter 5 - Culturally Sensitive Research Questions and Methods in Social Psychology
  80. Downplaying of Cultural Issues in Social Psychology
  81. Key Reasons for Downplaying of Culture
  82. Culture-Free Approach to Situations
  83. Physical Science Ideals of Explanation
  84. Apparent Universality and Explanatory Breadth of Psychological Theories
  85. Disappointment with Recent Cultural Traditions of Research
  86. Conceptual Issues in Giving More Attention to Culture
  87. Views of Culture
  88. Integrating Cultural Considerations with Situational and Person Factors
  89. Methodological Strategies for Enhancing Cultural Sensitivity
  90. Cultural Understanding
  91. Sampling
  92. Noncomparative "Prototypic" Sampling Strategies
  93. Noncomparative Cultural Sampling Strategies
  94. Comparative Cultural Sampling Strategies
  95. Representativeness and Equivalence in Sampling
  96. Culture as Process
  97. Culturally Appropriate Measures
  98. Conclusions
  99. Notes
  100. References
  101. Chapter 6 - Individual Differences in Social Psychology: Understanding Situations to Understand People, Understanding People to Understand Situations
  102. Why Stable Individual Differences Need to be Taken into Account
  103. Lewin's Equation, B = f(P, E)
  104. P = An Individual's Dynamic Social Information Processing System: An Example
  105. Studying Person Ɨ Situation Interactions
  106. What Individual Differences?
  107. Individual Differences That Interact with Situations
  108. Processing Dynamics Type and Diagnostic Situations
  109. Types of Person Variables That Affect Processing Dynamics
  110. Interactions May Involve Highly Content-Specific Person and Situation Characteristics
  111. Going beyond the Bandwidth-Fidelity Trade-off
  112. Behavioral Signatures of Person Types Guide an Inductive Approach to Discovering Individual Difference Constructs
  113. Methodological Challenges for Intensive within-Subject Analyses
  114. Finding, Evaluating, and Using Measures of Individual Differences
  115. What Makes a "Good" Measure: The Intertwined Nature of Reliability and Validity
  116. Bootstrapping Upward in the Evolution of Constructs, Theories, and Measures
  117. An Example of Construct Validation Research: The Multitrait-Multimethod Matrix
  118. Construct Validation of Individual Differences Measures via Experiments
  119. A Valid Measure has been Found! What Should We do with It? Implications for Data Analysis and Experimental Design
  120. Continuous or Categorical? It can Matter
  121. To Block or not to Block on Individual Difference Measures?
  122. Recasting the Problem: Going beyond Individual Differences as a Poor Person's Substitute for an Experiment
  123. Understanding the Effects of Situations for Each Person First
  124. Trading Instant Generalizability for Ultimate Generalizability: The Implications of a Person- and Type-Centered, More Inductive, Approach
  125. Concluding Thoughts: Understanding Situations to Understand People, Understanding People to Understand Situations
  126. Notes
  127. References
  128. Section B. Operationalizing the Constructs: Deciding What to Measure, Why, and How
  129. Chapter 7 - Constructing and Evaluating Quantitative Measures for Social Psychological Research: Conceptual Challenges and Methodological Solutions
  130. Defining Quantitative Measures
  131. Stages in Constructing Quantitative Measures
  132. Specifying Measurement Goals and Theoretical Assumptions
  133. Specifying One's Goals for the Measure
  134. Specifying Theoretical Assumptions
  135. Item Generation
  136. Creating Items
  137. Item Content and Wording
  138. Number of Items
  139. Response Scale Format
  140. Response Option Order and Item Order
  141. Traditional Scaling Procedures for Item Generation
  142. Thurstone Equal-Appearing Intervals
  143. Likert Summated Ratings
  144. Semantic Differentials
  145. Item Evaluation and Selection
  146. Judge Ratings
  147. Between-Group Differentiation
  148. Item Descriptive Statistics
  149. Item-Total Correlations
  150. Factor Analysis
  151. Item Response Theory
  152. Evaluating Measure Quality
  153. Reliability
  154. Internal Consistency
  155. Stability (Test-Retest)
  156. Validity
  157. "Associative" and "Dissociative" Forms of Validity Evidence
  158. Associative Forms of Validity
  159. Dissociative Forms of Validity
  160. The MTMM Approach
  161. Beyond Self-Report Measures
  162. Notes
  163. References
  164. Chapter 8 - Measures and Meanings: The Use of Qualitative Data in Social and Personality Psychology
  165. Qualitative Data in Social Psychology: An Empirical Example
  166. Advantages of Asking Open-Ended Questions
  167. Qualitative Data may Answer Many Questions at Once
  168. Qualitative Data Allow Us to Measure What isn't Said or can't be Said
  169. Qualitative Data Give Us the Flavor of the Whole
  170. Qualitative Data are (Relatively) Timeless
  171. Methods of Qualitative Research
  172. Participant Selection and Recruitment
  173. Deciding What Questions to Ask and How to Ask Them
  174. Coding the Data
  175. Extant Coding Schemes
  176. Creating New Coding Schemes
  177. Using NaĆÆve Coders
  178. The Training Phase
  179. The Coding Phase
  180. NaĆÆve Coders and the Bottom-up Approach
  181. Reliability and Validity
  182. Reliability
  183. Validity
  184. Additional Challenges of Using Qualitative Data in Social Psychology
  185. Methodological Problems and Confounds
  186. Losing the Trees for the Forest
  187. Special Ethical Considerations
  188. New Approaches to Quantifying Qualitative Data
  189. Conclusion
  190. References
  191. Chapter 9 - Implicit Methods in Social Psychology
  192. The Psychodynamic Heritage
  193. Projective Tests
  194. The Subtle and the Obvious
  195. The Priming Solution
  196. The Importance of Matching Tasks
  197. Priming as a Measure of Implicit Attitudes
  198. Critique of Priming
  199. The Implicit Association Test
  200. The IAT as a Psychometric Device
  201. Critique of the IAT
  202. The Unobtrusive, the Automatic, the Implicitā€”and the Psychologist's Fallacy
  203. Notes
  204. References
  205. Chapter 10 - Mediated and Moderated Effects in Social Psychological Research: Measurement, Design, and Analysis Issues
  206. Measurement Issues
  207. Practical Benefits of Theory
  208. Formally Designating the Status of Variables in a Model
  209. An Example
  210. Optimal Measurement
  211. Design Issues
  212. Asserting Causal Priority
  213. Timing and Tests of Mediation
  214. Experimental Designs
  215. Analysis Issues
  216. Analysis Issues Specific to Mediation
  217. Analysis Issues Specific to Moderation
  218. Stumbling Blocks
  219. Ambiguous Theory
  220. One-Shot Data
  221. Limited Sample Size
  222. Limited Number of Indicators
  223. Conclusion
  224. References
  225. Section C. Research Designs: Deciding the Specific Approach for Testing the Research Question(s), Why, and How
  226. Chapter 11 - Experimental Design and Causality in Social Psychology Research
  227. Introduction
  228. Designing Controlled Experiments: The Aims and Structure of This Chapter
  229. Why and When Should We do Experiments?
  230. The Logic of Experiments
  231. Replication
  232. Identifying Plausible Confounds
  233. Multiple Factors
  234. When not to Conduct Experiments
  235. Experimental Components
  236. Independent Variables (TVs)
  237. Randomization
  238. Theoretical Relevance
  239. Manipulation Checks
  240. Between- and within-Subjects Designs
  241. Dependent Variables (DVs)
  242. Scale Construction
  243. The Relevance-Sensitivity Trade-off
  244. The Experimental Sample
  245. Representativeness
  246. The Importance of Theory
  247. Using Specialized Samples
  248. Experimental Assembly
  249. Threats to Internal Validity
  250. Dealing with Confounds
  251. Uncertainty Management
  252. Ruling out Alternative Hypotheses: Dealing with Specific Threats to Internal Validity
  253. Maturation Effects
  254. History Effects
  255. Experiment Effects
  256. Sample Effects
  257. Experimental Control
  258. Threats to External Validity
  259. Reactivity
  260. Artificiality
  261. Inferring Causal Relationships from Experimental Research
  262. Lessons from the Social Psychology of Causal Inference
  263. Detecting Covariation
  264. Beyond Covariation
  265. Mediational Analysis
  266. The Logic of Mediation
  267. Problems of Interpretation
  268. Conclusion
  269. Note
  270. References
  271. Chapter 12 - Quasi-Experimental and Correlational Designs: Methods for the Real World When Random Assignment isn't Feasible
  272. Quasi-Experimental Designs: An Overview
  273. A Counterfactual Conception of Causality
  274. From the Concept of Causality to Kinds of Comparisons
  275. Comparisons across Time
  276. The One-Group, Pretest-Posttest Design
  277. Interrupted Time-Series Designs
  278. Interrupted Time-Series Designs with a Control Group
  279. Analysis of Interrupted Time-Series Designs
  280. Comparisons across Groups
  281. The Regression-Discontinuity Design
  282. Nonequivalent Group Designs
  283. Analysis of the Pretest-Posttest Nonequivalent Group Design
  284. The Pretest-Posttest Nonequivalent Group Design with Separate Pretest and Posttest Samples
  285. Complex Nonequivalent Group Designs
  286. Summary
  287. Correlational Designs
  288. Threats to the Validity of Correlational Designs
  289. The Analysis of Data From Correlational Designs
  290. Beyond Individual Studies: Research Programs, Lines of Research, and Research Syntheses
  291. Conclusions
  292. Design Matters
  293. But Design is not Everything
  294. The Pattern of Observed Effects Also Matters
  295. Recognizing and Reporting Threats to Validity Matters too
  296. Finally, Social Psychologists Should not be One-Trick Ponies
  297. References
  298. Chapter 13 - Within-Subject and Longitudinal Experiments: Design and Analysis Issues
  299. Perspectives on Causal Inference
  300. Three Design Elements
  301. Basic within-Subject Design
  302. Unit Homogeneity
  303. Randomization
  304. within-Subject Experiments
  305. Approaches to Controlling for Order of Treatment Conditions
  306. Random Ordering
  307. Counterbalancing
  308. Latin Square Designs
  309. Randomized Matched Designs (Predictor Sort Designs)
  310. Moderator Effects
  311. Mediation
  312. Summary and Conclusions
  313. Longitudinal Experiments
  314. Threats to Causal Inference
  315. Attrition
  316. SUTVA
  317. Some Longitudinal Experimental Designs
  318. Pre-Post Randomized Experiment
  319. Solomon Four-Group Design
  320. Multiwave Longitudinal Experiment
  321. Analysis Approaches: Traditional and Modern
  322. Univariate Analysis of Variance
  323. Three Possible Improvements to the Univariate Analysis of Variance Approach
  324. Correction of p Values
  325. Multivariate Approach
  326. Contrast Approach
  327. Growth Models
  328. Extensions
  329. Mediation
  330. Summary and Conclusions
  331. Final Conclusion
  332. Notes
  333. References
  334. Chapter 14 - Measuring Individuals in a Social Environment: Conceptualizing Dyadic and Group Interaction
  335. Non-Independence and Interdependence
  336. The Intraclass Correlation
  337. Graphical Representation of the Intraclass Correlation
  338. Individual and Group Effects: One is not Enough
  339. The Use of Dyad Means as Indicators of Shared Variance
  340. Influence and Interaction: A Model of Interdependence
  341. Hierarchical Linear Modeling: Same Old Story or a New Perspective?
  342. Morals
  343. References
  344. Chapter 15 - Quantitative Research Synthesis: Examining Study Outcomes over Settings, Samples, and Time
  345. Uses for Quantitative Research Synthesis
  346. Evaluating Existing Theories
  347. Testing Novel Hypotheses
  348. Procedures in Conducting a Research Synthesis
  349. Determining if You have Enough Studies
  350. Defining the Problem, Variables, and Sample
  351. Locating Relevant Studies
  352. Forming the Meta-Analytic Database
  353. Coding Study Features
  354. Selecting Computer Programs to Calculate and Analyze Effect Sizes
  355. Calculating Effect Sizes
  356. Problems (and Solutions) When Calculating Effect Sizes
  357. Independence of Observations
  358. Complex Primary Study Designs
  359. Correcting for Effect Size Bias
  360. Strategies for Nonreported Results
  361. Analyzing Meta-Analytic Data
  362. Step 1: Choosing a Model
  363. Step 2: Estimating Means and Variability
  364. Step 3: Investigating Possible Moderators
  365. Step 4: Reporting Findings
  366. Drawing Conclusions from Meta-Analyses
  367. Interpreting Effect-Size Statistics
  368. The Impact of Synthesis Findings and the Future of Research Synthesis
  369. Notes
  370. References
  371. Part IV - Emerging Interdisciplinary Approaches: The Integration of Social Psychology and Other Disciplines
  372. Chapter 16 - Methodological and Ethical Issues in Conducting Social Psychology Research via the Internet
  373. Minimum Requirements for Online Experimenting
  374. Potential Advantages of Research via the WWW
  375. Examples of Recruiting and Testing Participants via the Internet
  376. Recruitment Method and Sample Characteristics
  377. Demographics
  378. Web Participants do not Represent a Population
  379. Effect of Diversity on Power and Generality
  380. Experimental Control, Measurement, and Observation
  381. Two Procedures for Holding an Exam
  382. Precision of Manipulations and Measurements
  383. The Need for Pilot Work in the Lab
  384. The Need for Testing of HTML and Programming
  385. Testing in Both Lab and Web
  386. Dropouts and between-Subjects Designs
  387. Experimenter Bias
  388. Multiple Submissions
  389. Ethical Issues in Web and Lab
  390. Risks of Psychological Experiments
  391. Ease of Dropping out from Online Research
  392. Ethical Issues Peculiar to the WWW
  393. Deception on the WWW
  394. Privacy and Confidentiality
  395. Good Manners on the Web
  396. Concluding Comments
  397. References
  398. Chapter 17 - Social Neuroscience: Bridging Social and Biological Systems
  399. Social Neuroscience and Links to Biological Systems
  400. Inferring the Psychological Significance of Physiological Signals
  401. The Psychological and Physiological Domains
  402. Functional Magnetic Resonance Imaging (fMRI)
  403. The BOLD Response
  404. Task Demands
  405. Tissue and Psychology
  406. Electrophysiological Measures of Brain Activity
  407. Summary
  408. Notes
  409. References
  410. Chapter 18 - Supplementing the Snapshots with Video Footage: Taking a Developmental Approach to Understanding Social Psychological Phenomena
  411. What does It Mean to Use the Video Camera?
  412. Why Use the Video Camera?
  413. How to Use the Video Camera
  414. Developmental Designs
  415. The Cross-Sectional Design
  416. The Longitudinal Design
  417. The Cross-Sequential Design
  418. Operationalizing Developmental Phase
  419. Micro-Analytic and Macro-Analytic Strategies
  420. Identifying the Processes Underlying Developmental Change
  421. Other Considerations in Conducting Developmental Research
  422. Recruitment
  423. Procedural Equivalence
  424. Methodological Benefits of Conducting Developmental Research
  425. But You Can't Just Use Only the Video Camera
  426. Conclusion
  427. References
  428. Part V - The Application of Social Psychology and Its Methods to Other Domains
  429. Chapter 19 - Program Evaluation, Action Research, and Social Psychology: A Powerful Blend for Addressing Applied Problems
  430. What is Program Evaluation?
  431. Framework for the Chapter
  432. The Program Evaluation Field
  433. Action Research and Program Evaluation
  434. Action Research Applied to Issues of Educational Opportunity
  435. "Traditional" Evaluations of School Structures
  436. Policy-Relevant Evaluation: Modeling Impacts of School Accountability
  437. Longitudinal Evaluation Designs and Collaborative Work: Understanding Relations of Poverty with Achievement
  438. Methodological Tools and Their Uses
  439. Limitations of Action Research Models for Program Evaluation
  440. Closing Note
  441. References
  442. Chapter 20 - Methodological Challenges and Scientific Rewards for Social Psychologists Conducting Health Behavior Research
  443. A Brief Introduction to Research in the Health, Emotion, and Behavior (HEB) Laboratory
  444. Challenge #1: Serving Two Masters
  445. Challenge #2: Testing Your Question
  446. Challenge #3: Ethical Issues
  447. Relationship with the Community
  448. Professional Development
  449. Graduate School
  450. Postdoctoral Training
  451. Employment
  452. Integrating Social Psychology and Health Behavior
  453. References
  454. Chapter 21 - Research Methods of Micro Organizational Behavior
  455. Relationship of Micro OB to Organizational Research
  456. Comparison of Micro OB to Social Psychology
  457. The Key Factor Distinguishing Micro OB from Social Psychology
  458. Key Independent Variable
  459. Key Dependent Variable
  460. Omnipresence
  461. Research Project Development in Micro OB
  462. Step 1: Problem in Real World Stimulates Unresolved Question
  463. Step 2: Researcher Reformulates the Real World Problem into a Testable Research Question
  464. Step 3: Researcher Consults Theory to Derive Hypotheses
  465. Step 4: Researcher Devises Study to Test Hypotheses
  466. Step 5: Data Analysis and Results
  467. Step 6: Conclusions: Theoretical and Prescriptive
  468. Step 7: Application
  469. Common Methodologies in Micro OB Research
  470. Setting
  471. Design
  472. Classroom Setting
  473. Field Setting
  474. Laboratory Setting
  475. Conclusion
  476. References
  477. Chapter 22 - Conducting Social Psychological Research in Educational Settings: "Lessons We Learned in School"
  478. Moving out of the Lab and into the Classroom: Choosing the Setting
  479. Moving into the Classroom: Choosing a Design
  480. Moving into the Classroom: Choosing Measures
  481. Moving into the Classroom: Implications and Methodological Trade-offs
  482. Moving Back to the Lab
  483. Back to the Classroom: Validity Issues Revisited
  484. Lessons We Learned in School
  485. Lesson #1: The Importance of Using Multiple Research Methodologies in Multiple Settings
  486. Lesson #2: Dealing with the Dilemma of the Social Psychologist
  487. Lesson #3: Increasing the Credibility and Valuation of Research
  488. References
  489. Name Index
  490. Subject Index
  491. About the Editors
  492. About the Contributors