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Contents Preface CHAPTER 1. THE FIRST RULE - THERE SHOULD BE THE POSSIBILITY OF SURPRISE IN SOCIAL RESEARCH SELECTING A RESEARCH QUESTION RESEARCHABLE QUESTIONS INTERESTING QUESTIONS SELECTING A SAMPLE SAMPLES IN QUALITATIVE STUDIES IS MEANINGFUL SOCIAL RESEARCH POSSIBLE? SUMMARY OF CHAPTER 1 STUDENT EXERCISES ON RULE 1 CHAPTER 2. THE SECOND RULE - LOOK FOR DIFFERENCES THAT MAKE A DIFFERENCE, AND REPORT THEM YOU CAN'T EXPLAIN A VARIABLE WITH A CONSTANT MAXIMIZING VARIANCE TO FIND THE EFFECT OF A CAUSE SIZE VERSUS STATISTICAL SIGNIFICANCE COMPARING EFFECTS WHERE THERE IS A COMMON METRIC CALIBRATION: CONVERTING EXPLANATORY VARIABLES TO A COMMON METRIC SUBSTANTIVE PROFILING: THE USE OF TELLING COMPARISONS VISUAL PRESENTATION OF RESULTS POLICY IMPORTANCE IMPORTANCE FOR THEORY CONCLUSION STUDENT EXERCISES ON RULE 2 CHAPTER 3. THE THIRD RULE - BUILD REALITY CHECKS INTO YOUR RESEARCH INTERNAL REALITY CHECKS REALITY CHECKS ON DATA -DUBIOUS VALUES AND INCOMPLETE DATA REALITY CHECKS ON MEASURES - AIM FOR CONSISTENCY IN CONCEPTUALIZATION AND MEASUREMENT REALITY CHECKS ON MODELS - THE FORMAL EQUIVALENCE CHECK EXTERNAL REALITY CHECKS: VALIDATION WITH OTHER DATA AND METHODS USING CAUSAL-PROCESS OBSERVATIONS TO TEST PLAUSIBILITY OF RESULTS USING ETHNOGRAPHIC DATA TO HELP INTERPRET SURVEY RESULTS OTHER EXAMPLES OF MULTIPLE-METHOD RESEARCH CONCLUDING REMARK STUDENT EXERCISES ON RULE 3 CHAPTER 4. THE FOURTH RULE - REPLICATE WHERE POSSIBLE SOURCES OF UNCERTAINTY IN SOCIAL RESEARCH OVERVIEW: FROM POPULATION TO SAMPLE AND BACK TO POPULATION MEASUREMENT ERROR AS A SOURCE OF UNCERTAINTY ILLUSTRATION: TWO METHODS FOR ESTIMATING GLOBAL POVERTY TOWARD A SOLUTION: IDENTICAL ANALYSES OF PARALLEL DATA SETS META-ANALYSIS: SYNTHESIZING RESULTS FORMALLY ACROSS STUDIES SUMMARY: YOUR CONFIDENCE INTERVALS ARE TOO SMALL STUDENT EXERCISES ON RULE 4 - REPLICATION CHAPTER 5. THE FIFTH RULE - COMPARE LIKE WITH LIKE CORRELATION AND CAUSATION TYPES OF STRATEGIES FOR COMPARING LIKE WITH LIKE MATCHING VERSUS LOOKING FOR DIFFERENCES THE STANDARD REGRESSION METHOD FOR COMPARING LIKE WITH LIKE CRITIQUE OF THE STANDARD LINEAR REGRESSION STRATEGY COMPARING LIKE WITH LIKE THROUGH FIXED-EFFECTS METHODS FIRST-DIFFERENCE MODELS: SUBTRACTING OUT THE EFFECTS OF WS SPECIAL CASE: GROWTH RATE MODELS SIBLING MODELS COMPARING LIKE WITH LIKE THROUGH MATCHING ON MEASURED VARIABLES EXACT MATCHING PROPENSITY-SCORE METHOD MATCHING AS A PREPROCESSING STRATEGY FOR REDUCING MODEL DEPENDENCE COMPARING LIKE WITH LIKE THROUGH NATURALLY-OCCURRING RANDOM ASSIGNMENT INSTRUMENTAL VARIABLES: MATCHING THROUGH PARTIAL RANDOM ASSIGNMENT MATCHING THROUGH NATURALLY-OCCURRING RANDOM ASSIGNMENT TO THE TREATMENT GROUP COMPARISON OF STRATEGIES FOR COMPARING LIKE WITH LIKE CONCLUSION STUDENT EXERCISES ONE RULE 5 CHAPTER 6. THE SIXTH RULE - USE PANEL DATA TO STUDY INDIVIDUAL CHANGE AND REPEATED CROSS- SECTION DATA TO STUDY SOCIAL CHANGE ANALYTIC DIFFERENCES BETWEEN PANEL AND REPEATED CROSS-SECTION DATA THREE GENERAL QUESTIONS ABOUT CHANGE CHANGING-EFFECT MODELS, PART I: TWO POINTS IN TIME CHANGING-EFFECT MODELS, PART II: MULTILEVEL MODELS WITH TIME AS THE CONTEXT WHAT WE WANT TO KNOW THE GENERAL MULTILEVEL MODEL CONVERGENCE MODELS THE SIGN TEST FOR CONVERGENCE: COMPARING YOUR AND CONVERGENCE MODEL VERSUS CHANGING-EFFECT MODEL BRIDGING INDIVIDUAL AND SOCIAL CHANGE: ESTIMATING COHORT REPLACEMENT EFFECTS AN ACCOUNTING SCHEME FOR SOCIAL CHANGE LINEAR DECOMPOSITION METHOD CHAPTER SUMMARY STUDENT EXERCISES ON RULE 6 CHAPTER 7. THE SEVENTH RULE - LET METHOD BE THE SERVANT, NOT THE MASTER OBSESSION WITH REGRESSION NATURALLY-OCCURRING RANDOM ASSIGNMENT, AGAIN DECOMPOSITION WORK IN THE SOCIAL SCIENCES DECOMPOSITION OF VARIANCE AND INEQUALITY DECOMPOSITION OF SEGREGATION INDEXES THE EFFECTS OF SOCIAL CONTEXT CONTEXT EFFECTS AS OBJECTS OF STUDY CONTEXT EFFECTS AS NUISANCE CRITICAL TESTS IN SOCIAL RESEARCH CONCLUSION STUDENT EXERCISES ON RULE 7 REFERENCES CITED INDEX
Library of Congress Subject Headings for this publication:
Social sciences -- Research.
Psychology -- Research.
Education research.
Public health -- Research.
Qualitative research.
Quantitative research.