Methods matter: improving causal inference in educational and social science research
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Oxford [u.a.]
Oxford Univ. Press
2011
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XV, 397 S. graph. Darst. |
| ISBN: | 9780199753864 |
Staff View
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Record in the Search Index
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|---|---|
| adam_text | VI CONTENTS ANALYZING DATA FROM RANDOMIZED EXPERIMENTS 48 THE BETTER
YOUR RESEARCH DESIGN, THE SIMPLER YOUR DATA ANALYSIS 48 BIAS AND
PRECISION IN THE ESTIMATION OF EXPERIMENTAL EFFECTS 52 WHAT TO READ NEXT
60 5 CHALLENGES IN DESIGNING, IMPLEMENTING, AND LEARNING [ROM RANDOMIZED
EXPERIMENTS 61 CRITICAL DECISIONS IN THE DESIGN OF EXPERIMENTS 62
DEFINING THE TREATMENT 64 DEFINING THE POPULATION FROM WHICH
PARTICIPANTS WILL BE SAMPLED 66 DECIDING WHICH OUTCOMES TO MEASURE 67
DECIDING HOW LONG TO TRACK PARTICIPANTS 68 THREATS TO THE VALIDITY OF
RANDOMIZED EXPERIMENTS 69 CONTAMINATION OF THE TREATMENT-CONTROL
CONTRAST 70 CROSS-OVERS 70 ATTRITION FROM THE SAMPIE 71 PARTICIPATION IN
AN EXPERIMENT ITSEL[ AFFECTS PARTICIPANTS BEHAVIOR 73 GAINING SUPPORT
FOR CONDUCTING RANDOMIZED EXPERIMENTS: EXAMPLES FROM INDIA 74 EVALUATING
AN INNOVATIVE INPUT APPROACH 75 EVALUATING AN INNOVATIVE INCENTIVE
POLICY 79 WHAT TO READ NEXT 81 6 STATISTICAL POWER AND SAMPIE SIZE 82
STATISTICAL POWER 83 REVIEWING THE PROCESS OF STATISTICAL INFERENCE 83
DEFINING STATISTICAL POWER 92 FACTORS AFFECTING STATISTICAL POWER 96 THE
STRENGTHS AND LIMITATIONS OF PARAMETRIC TESTS 101 THE BENEFITS OF
COVARIATES 102 THE RELIABILITY OF THE OUTCOME MEASURE MATTERS 103 THE
CHOICE BETWEEN ONE-TAILED AND TWO-TAILED TESTS 105 WHAT TO READ NEXT 106
7 EXPERIMENTAL RESEARCH WHEN PARTICIPANTS ARE CLUSTERED WITHIN INTACT
GROUPS 107 RANDOM-INTERCEPTS MULTILEVEL MODEL TO ESTIMATE EFFECT SIZE
WHEN INTACT GROUPS ARE RANDOMIZED TO EXPERIMENTAL CONDITIONS HO
STATISTICAL POWER WHEN INTACT GROUPS OF PARTICIPANTS ARE RANDOMIZED TO
EXPERIMENTAL CONDITIONS 120 STATISTICAL POWER OF THE CLUSTER-RANDOMIZED
DESIGN AND INTRACLASS CORRELATION 122 VI CONTENTS ANALYZING DATA FROM
RANDOMIZED EXPERIMENTS 48 THE BETTER YOUR RESEARCH DESIGN, THE SIMPLER
YOUR DATA ANALYSIS 48 BIAS AND PRECISION IN THE ESTIMATION OF
EXPERIMENTAL EFFECTS 52 WHAT TO READ NEXT 60 5 CHALLENGES IN DESIGNING,
IMPLEMENTING, AND LEARNING [ROM RANDOMIZED EXPERIMENTS 61 CRITICAL
DECISIONS IN THE DESIGN OF EXPERIMENTS 62 DEFINING THE TREATMENT 64
DEFINING THE POPULATION FROM WHICH PARTICIPANTS WILL BE SAMPLED 66
DECIDING WHICH OUTCOMES TO MEASURE 67 DECIDING HOW LONG TO TRACK
PARTICIPANTS 68 THREATS TO THE VALIDITY OF RANDOMIZED EXPERIMENTS 69
CONTAMINATION OF THE TREATMENT-CONTROL CONTRAST 70 CROSS-OVERS 70
ATTRITION FROM THE SAMPIE 71 PARTICIPATION IN AN EXPERIMENT ITSEL[
AFFECTS PARTICIPANTS BEHAVIOR 73 GAINING SUPPORT FOR CONDUCTING
RANDOMIZED EXPERIMENTS: EXAMPLES FROM INDIA 74 EVALUATING AN INNOVATIVE
INPUT APPROACH 75 EVALUATING AN INNOVATIVE INCENTIVE POLICY 79 WHAT TO
READ NEXT 81 6 STATISTICAL POWER AND SAMPIE SIZE 82 STATISTICAL POWER 83
REVIEWING THE PROCESS OF STATISTICAL INFERENCE 83 DEFINING STATISTICAL
POWER 92 FACTORS AFFECTING STATISTICAL POWER 96 THE STRENGTHS AND
LIMITATIONS OF PARAMETRIC TESTS 101 THE BENEFITS OF COVARIATES 102 THE
RELIABILITY OF THE OUTCOME MEASURE MATTERS 103 THE CHOICE BETWEEN
ONE-TAILED AND TWO-TAILED TESTS 105 WHAT TO READ NEXT 106 7 EXPERIMENTAL
RESEARCH WHEN PARTICIPANTS ARE CLUSTERED WITHIN INTACT GROUPS 107
RANDOM-INTERCEPTS MULTILEVEL MODEL TO ESTIMATE EFFECT SIZE WHEN INTACT
GROUPS ARE RANDOMIZED TO EXPERIMENTAL CONDITIONS HO STATISTICAL POWER
WHEN INTACT GROUPS OF PARTICIPANTS ARE RANDOMIZED TO EXPERIMENTAL
CONDITIONS 120 STATISTICAL POWER OF THE CLUSTER-RANDOMIZED DESIGN AND
INTRACLASS CORRELATION 122 CONTENTS VII FIXED-EJJECTS MULTILEVEL MODELS
TO ESTIMATE EJJECT SIZE WHEN INTACT GROUPS OF PARTICIPANTS ARE
RANDOMIZED TO EXPERIMENTAL CONDITIONS 128 SPECIFYING A FIXED-EJJECTS
MULTILEVEL MODEL 128 CHOOSING BETWEEN RANDOM- AND FIXED-EJJECTS
SPECIFIEATIONS 131 WHAT TO READ NEXT 134 8 USING NATURAL EXPERIMENTS TO
PROVIDE ARGUABLY EXOGENOUS TREATMENT VARIABILITY 135 NATURAL- AND
INVESTIGATOR-DESIGNED EXPERIMENTS: SIMILARITIES AND DIJJERENCES 136 TWO
EXAMPLES OF NATURAL EXPERIMENTS 137 THE VIETNAM-ERA DRAFT LOTTERY 137
THE IMPACT OF AN OJJER OF FINANCIAL AID FOR COLLEGE 141 SOURCES OF
NATURAL EXPERIMENTS 145 CHOOSING THE WIDTH OFTHE ANALYTIC WINDOW 150
THREATS TO VALIDITY IN NATURAL EXPERIMENTS WITH A DISCONTINUITY DESIGN
152 ACCOUNTINGFOR THE RELATIONSHIP BETWEEN THE OUTCOME AND THE FORCING
VARIABLE IN A DISCONTINUITY DESIGN 153 ACTIONS BY PARTICIPANTS CAN
UNDERMINE EXOGENOUS ASSIGNMENT TO EXPERIMENTAL CONDITIONS IN A NATURAL
EXPERIMENT WITH A DISCONTINUITY DESIGN 163 WHAT TO READ NEXT 164 9
ESTIMATING CAUSAL EFFECTS USING A REGRESSION-DISCONTINUITY APPROACH 165
MAIMONIDES RULE AND THE IMPACT OFCLASS SIZE ON STUDENT ACHIEVEMENT 166
A SIMPLE FIRST-DIJJERENCE ANALYSIS 170 A DIJJERENCE-IN-DIJJERENCES
ANALYSIS 171 A BASIC REGRESSION-DISCONTINUITY ANALYSIS 174 CHOOSING AN
APPROPRIATE BANDWIDTH 181 GENERALIZING THE RELATIONSHIP BETWEEN THE
OUTCOME AND THE FORCING VARIABLE 186 SPECIFICATION CHECKS USING
PSEUDO-OUTCOMES AND PSEUDO-CUT-OJFT 192 REGRESSION-DISCONTINUITY DESIGNS
AND STATISTICAL POWER 195 ADDITIONAL THREATS TO VALIDITY IN A
REGRESSION-DISCONTINUITY DESIGN 197 WHAT TO READ NEXT 202 10 INTRODUCING
INSTRUMENTAL-VARIABLES ESTIMATION 203 INTRODUCING INSTRUMENTAL-VARIABLES
ESTIMATION 204 BIAS IN THE OLS ESTIMATE OFTHE CAUSAL EJJECT OF EDUCATION
ON CIVIC ENGAGEMENT 206 INSTRUMENTAL-VARIABLES ESTIMATION 215 TWO
CRITICAL ASSUMPTIONS THAT UNDERPIN INSTRUMENTAL-VARIABLES ESTIMATION 223
ALTERNATIVE WAYS OF OBTAINING THE INSTRUMENTAL-VARIABLES ESTIMATE 226
OBTAINING AN INSTRUMENTAL-VARIABLES ESTIMATE BY THE TWO-STAGE
LEAST-SQUARES METHOD 227 VIII CONTENTS OBTAINING AN
INSTRUMENTAL-VARIABLES ESTIMATE BY SIMULTANEOUS-EQUATIONS ESTIMATION 233
EXTENSIONS OF THE BASIC INSTRUMENTAL-VARIABLE ESTIMATION APPROACH 238
INCORPORATING EXOGENOUS COVARIATES INTO INSTRUMENTAL-VARIABLE ESTIMATION
238 INCORPORATING MULTIPLE INSTRUMENTS INTO THE FIRST-STAGE MODEL 243
EXAMINING THE IMPACT OF INTERACTIONS BETWEEN THE ENDOGENOUS QUESTION
PREDICTOR AND EXOGENOUS COVARIATES IN THE SECOND-STAGE MODEL 247
CHOOSING APPROPRIATE FUNCTIONAL FORMS FOR OUTCOME/PREDICTOR
RELATIONSHIPS IN FIRST- AND SECOND-STAGE MODELS 251 FINDING AND
DEFENDING INSTRUMENTS 252 PROXIMITY OF EDUCATIONAL INSTITUTIONS 253
INSTITUTIONAL RULES AND PERSONAL CHARACTERISTICS 257 DEVIATIONS FROM
COHORT TRENDS 261 THE SEARCH CONTINUES 263 WHAT TO READ NEXT 264 11
USING IVE TO RECOVER THE TREATMENT EFFECT IN A QUASI-EXPERIMENT 265 THE
NOTION OF A QUASI-EXPERIMENT 267 USING IVE TO ESTIMATE THE CAUSAL
IMPACT OF A TREATMENT IN A QUASI-EXPERIMENT 269 FURTHER INSIGHT INTO THE
IVE (LATE) ESTIMATE, IN THE CONTEXT OF QUASI-EXPERIMENTAL DATA 274 USING
IVE TO RESOLVE FUZZINESS IN A REGRESSION-DISCONTINUITY DESIGN 280 WH
AT TO READ NEXT 285 12 DEALING WITH BIAS IN TREATMENT EFFECTS ESTIMATED
FROM NONEXPERIMENTAL DATA 286 REDUCING OBSERVED BIAS BY THE METHOD OF
STRATIFICATION 289 STRATIFYING ON A SINGLE COVARIATE 289 STRATIFYING ON
COVARIATES 299 REDUCING OBSERVED BIAS BY DIRECT CONTROL FOR COVARIATES
USING REGRESSION ANALYSIS 304 REDUCING OBSERVED BIAS USING A
PROPENSITY-SCORE APPROACH 310 ESTIMATION OF THE TREATMENT EFFECT BY
STRATIFYING ON PROPENSITY SCORES 316 ESTIMATION OF THE TREATMENT EFFECT
BY MATCHING ON PROPENSITY SCORES 321 ESTIMATION OF THE TREATMENT EFFECT
BY WEIGHTING BY THE INVERSE OF THE PROPENSITY SCORES 324 ARETURN TO THE
SUBSTANTIVE QUESTION 328 WHAT TO READ NEXT 331 13 METHODOLOGICAL LESSONS
FROM THE LONG QUEST 332 BE CLEAR ABOUT YOUR THEORY OF ACTION 333 LEARN
ABOUT CULTURE, RULES, AND INSTITUTIONS IN THE RESEARCH SETTING 335
UNDERSTAND THE COUNTERFACTUAL ALWAYS WORRY ABOUT SELECTION BIAS USE
MULTIPLE OUTCOME MEASURES BE ON THE LOOKOUT FOR LONGER- TERM EJJECTS
DEVELOP A PLAN FOR EXAMINING IMPACTS ON SUBGROUPS INTERPRET YOUR
RESEARCH RESULTS CORRECTLY PAY ATTENTION TO ANOMALOUS RESULTS RECOGNIZE
THAT GOOD RESEARCH ALWAYS RAISES NEW QUESTIONS WHAT TO READ NEXT 14
SUBSTANTIVE LESSONS AND NEW QUESTIONS POLICY GUIDELINE 1: LOWER THE COST
OF SCHOOL ENROLLMENT REDUCE COMMUTING TIME REDUCE OUT-OFPOCKET
EDUCATIONAL COSTS REDUCE OPPORTUNITY COSTS POLICY GUIDELINE 2: CHANGE
CHILDREN S DAILY EXPERIENCES IN SCHOOL MORE BOOKS? SMALLER CLASSES?
BETTER TEACHING? POLICY GUIDELINE 3: IMPROVE INCENTIVES IMPROVE
INCENTIVES FOR TEACHERS IMPROVE INCENTIVES FOR STUDENTS POLICY GUIDELINE
4: CREATE MORE SCHOOLING OPTIONS FOR POOR CHILDREN NEW PRIVATE-SCHOOL
OPTIONS NEW PUBLIC-SCHOOL OPTIONS SUMMING UP FINAL WORDS CONTENTS IX 337
338 340 341 342 344 346 348 349 350 352 352 353 354 355 355 356 357 359
359 361 364 365 365 367 368 369 381
|
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| discipline | Pädagogik Soziologie Wirtschaftswissenschaften |
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| id | DE-604.BV036567840 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:43:03Z |
| institution | BVB |
| isbn | 9780199753864 |
| language | English |
| lccn | 2010007441 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020489016 |
| oclc_num | 705671884 |
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| physical | XV, 397 S. graph. Darst. |
| publishDate | 2011 |
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| publishDateSort | 2011 |
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| spelling | Murnane, Richard J. 1945- Verfasser (DE-588)131401440 aut Methods matter improving causal inference in educational and social science research Richard J. Murnane, John B. Willett Oxford [u.a.] Oxford Univ. Press 2011 XV, 397 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Erziehung Education Research Methodology Quantitative research Forschung (DE-588)4017894-8 gnd rswk-swf Pädagogik (DE-588)4044302-4 gnd rswk-swf Pädagogik (DE-588)4044302-4 s Forschung (DE-588)4017894-8 s DE-604 Willett, John B. 1947- Verfasser (DE-588)131401475 aut V:DE-604 application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020489016&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Murnane, Richard J. 1945- Willett, John B. 1947- Methods matter improving causal inference in educational and social science research Erziehung Education Research Methodology Quantitative research Forschung (DE-588)4017894-8 gnd Pädagogik (DE-588)4044302-4 gnd |
| subject_GND | (DE-588)4017894-8 (DE-588)4044302-4 |
| title | Methods matter improving causal inference in educational and social science research |
| title_auth | Methods matter improving causal inference in educational and social science research |
| title_exact_search | Methods matter improving causal inference in educational and social science research |
| title_full | Methods matter improving causal inference in educational and social science research Richard J. Murnane, John B. Willett |
| title_fullStr | Methods matter improving causal inference in educational and social science research Richard J. Murnane, John B. Willett |
| title_full_unstemmed | Methods matter improving causal inference in educational and social science research Richard J. Murnane, John B. Willett |
| title_short | Methods matter |
| title_sort | methods matter improving causal inference in educational and social science research |
| title_sub | improving causal inference in educational and social science research |
| topic | Erziehung Education Research Methodology Quantitative research Forschung (DE-588)4017894-8 gnd Pädagogik (DE-588)4044302-4 gnd |
| topic_facet | Erziehung Education Research Methodology Quantitative research Forschung Pädagogik |
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