Empirical methods in law:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Aspen Publishers
2010
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXV, 446 S. graph. Darst. |
| ISBN: | 9780735577251 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | CONTENTS PREFACE X IX ACKNOWLEDGMENTS XXIII PART I. INTRODUCTION: WHY
EMPIRICAL METHODS IN LAW? I. FOR WHOM? II. WHY NOW? III. WHAT NEXT?
CLAPTEI- I: THINKING EMPIRICALLY I. WHAT ARE EMPIRICAL METHODS? II.
THINKING EMPIRICALLY A. SOME CHARACTERISTICS OF EMPIRICAL RESEARCH
ROBERT ROSENTHAL 8C RALPH L. ROSNOW, ORIENTING HABITS OF GOOD SCIENTIFIC
PRACTICE B. SOME LIMITATIONS OF AN EMPIRICAL APPROACH CONCLUSION
EXERCISES BIBLIOGRAPHY CKAPTER 2: RESEARCH DESIGN I. GENERATING
HYPOTHESES SOCIAL SCIENCE RESOURCES II. SELECTING A RESEARCH METHOD A.
DESCRIPTION B. EXPLORING CAUSATION C. TIME III. VALIDITY AND RELIABILITY
A. INTERNAL VALIDITY B. EXTERNAL VALIDITY 1 2 5 7 7 10 10 18 20 21 22 23
25 27 27 29 29 30 34 36 36 39 XI CONTENTS C. CONSTRUCT VALIDITY AND
OPERATIONAL DEFINITIONS D. RELIABILITY RESEARCH CONDUCTED IN THE CONTEXT
OF LITIGATION IV. A MULTI-METHOD APPROACH DAVID HYMAN, INSTITUTIONAL
REVIEW BOARDS: IS THIS THE LEAST WORST WE CAN DO? CONCLUSION EXERCISES
BIBLIOGRAPHY 40 42 43 46 48 49 50 53 PART II. HOW TO GATHER DATA:
EMPRICAL RESEARCH METHODOLOGIES 55 CLIAPTER 2 : ASKING QUESTIONS:
SURVEYS AND INTERVIEWS 59 HEARSAY OBJECTIONS TO SURVEYS 60 I. EXAMPLES
62 A. EXAMPLE: STUDIES OF WELL-BEING 63 B. EXAMPLE: TRADEMARK AND
GENERICNESS 64 C. EXAMPLE: CHANGE OF VENUE 66 II. DESIGNING AND
EVALUATING SURVEYS 67 A. WHO ARE THE PARTICIPANTS? 67 B. DRAFTING
QUESTIONS 69 1. RELEVANCE 70 2. STANDARDIZATION 70 3. TYPES OF QUESTIONS
71 LITIGATION CRISIS SCALE 74 4. UNDERSTANDABLE, NON-BIASED QUESTIONS 74
5. QUESTIONS THAT RESPONDENTS ARE ABLE AND WILLING TO ANSWER 76 6.
QUESTION ORDER 78 7. SKIP PATTERNS 79 8. PRE-TESTING 79 C. METHODS OF
CONDUCTING SURVEYS 79 SEMI-STRUCTURED INTERVIEWS 80 1. INTERVIEWS 80 2.
QUESTIONNAIRES 82 EXPERIENCE SAMPLING AND DAY RECONSTRUCTION SURVEY
METHODS 84 3. CHOICE OF METHOD 84 CONCLUSION 85 LARGE-SCALE SURVEYS 86
EXERCISES 88 BIBLIOGRAPHY 91 CONTENTS XIII 4: EXPERIMENTAL DATA 93 I.
EXPERIMENTAL CONTROL AND RANDOM ASSIGNMENT 93 A. EXPERIMENTAL
MANIPULATIONS AND CONTROL GROUPS 95 1. ISOLATING VARIABLES 95
EXPERIMENTS IN TRADEMARK AND FALSE ADVERTISING CASES 96 2. MANIPULATION
CHECKS AND PILOT TESTING 97 3. FACTORIAL DESIGNS 99 B. RANDOM ASSIGNMENT
101 FRACTIONAL FACTORIAL DESIGNS 102 BETWEEN-SUBJECTS AND
WITHIN-SUBJECTS DESIGNS 104 II. FIELD EXPERIMENTS 106 AIRLINES, DISPUTE
RESOLUTION, AND EXPERIMENTS 107 SHARI SEIDMAN DIAMOND, NEIL VIDMAR, MARY
ROSE, LESLIE ELLIS 6C BETH MURPHY, JUROR DISCUSSIONS DURING CIVIL
TRIALS: STUDYING AN ARIZONA INNOVATION 109 III. LABORATORY AND
SIMULATION EXPERIMENTS 110 PHILIP G. ZIMBARDO, THE STANFORD PRISON
EXPERIMENT 112 IV. QUASI-EXPERIMENTS 115 V. NATURAL EXPERIMENTS 118
STEVEN D. LEVITT & STEPHEN J. DUBNER, FREAKONOMICS 118 CHOLERA IN LONDON
120 CONCLUSION 122 EXERCISES 122 BIBLIOGRAPHY 123 5: ARCHIVAL DATA 125
I. COMPILING YOUR OWN DATA 127 II. USING EXISTING DATA SETS 128 CHANGES
IN DATA COLLECTION PROCEDURES: ACCIDENT REPORTING 133 III. ACCESS TO
DATA 134 FREEDOM OF INFORMATION ACT 135 CONCLUSION 136 EXERCISES 136
BIBLIOGRAPHY 137 CKAPFEIR 6: SAMPLIN G 139 I. WHY SAMPLE? 140 II.
POPULATION TO BE STUDIED 142 III. TYPES OF SAMPLING 143 A. PROBABILITY
SAMPLING 143 B. NONPROBABILITY SAMPLING 148 XIV CONTENTS IV. SAMPLE SIZE
149 IRRELEVANCE OF POPULATION SIZE 151 V. SAMPLED EVIDENCE IN COURT 154
A. ACCEPTANCE OF SAMPLES IN COURT 154 B. CURRENT APPLICATION: SAMPLING
IN MASS TORTS 155 CONCLUSION 157 EXERCISES 158 BIBLIOGRAPHY 163 CLIAPTER
7: CODING 165 I. WHAT IS CODING AND WHY DO WE CARE? 166 II. ASSEMBLING A
DATABASE 169 STATISTICAL PROGRAMS 171 III. CODING DATA INTO VARIABLES
172 A. GENERAL ISSUES ABOUT VARIABLES 172 CODER EFFECTS 174 B. SPECIFIC
BEST PRACTICES FOR CODING 175 IMPUTATION OF MISSING VALUES 178 IV.
ENSURING THE RELIABILITY OF THE DATABASE 180 CONCLUSION 183 EXERCISES
183 BIBLIOGRAPHY 187 PART III. HOW TO EVALUATE DATA: STATSTICAL
TECHNIQUES 189 8: DISTRIBUTIONS AND HOW TO DESCRIBE THEM 191 I. THE
DATA ARE ... (OR HOW I LEARNED TO LOVE THE DATA AND THINK ABOUT THEM AS
A DISTRIBUTION) 191 II. SUMMARIZING DATA (OR HOW I LEARNED TO STOP
WORRYING AND THINK BEYOND THE AVERAGE) 196 A. MEASURES OF CENTRAL
TENDENCY 196 WILLIAM D. HENDERSON, ARE WE SELLING RESULTS OR RESUMES?
THE UNEXPLORED LINKAGE BETWEEN HUMAN RESOURCE STRATEGIES AND
FIRM-SPECIFIC HUMAN CAPITAL 199 B. DESCRIBING THE VARIATION IN THE DATA
201 STANDARDIZATION AND Z SCORES 204 C. DESCRIBING THE SHAPE OF THE DATA
205 LEPTOKURTOSIS, FAT TAILS, AND THE FINANCIAL MELTDOWN 208 III. SOME
PROBABILITY DISTRIBUTIONS (OR HOW I LEARNED TO STOP WORRYING AND BE
NORMAL) 209 A. THE BINOMIAL DISTRIBUTION 209 CONTENTS XV B. THE NORMAL
DISTRIBUTION 213 BOARD OF COUNTY COMMISSIONERS V. WATER QUALITY CONTROL
COMMISSION 216 C. TRANSFORMATIONS 217 D. OUTLIERS 221 CONCLUSION 223
EXERCISES 223 BIBLIOGRAPHY 226 CKAPTER 9: HYPOTHESIS TESTING AND
STATISTICAL SIGNIFICANCE 227 I. LEARNING BY FALSIFICATION & THE NULL
HYPOTHESIS 227 II. HOW CERTAIN DO YOU HAVE TO BE? THE CONCEPT OF
STATISTICAL SIGNIFICANCE 231 III. MOVING BEYOND THE BINOMIAL 235
PUBLICATION BIAS AND FILE DRAWERS 236 META-ANALYSIS 240 CONCLUSION 242
EXERCISES 243 BIBLIOGRAPHY 244 CLIAPTER 10: INFERENTIAL STATISTICS 247
I. THE CHI-SQUARE (X 2 ) STATISTIC 248 A. CALCULATING THE CHI-SQUARE
STATISTIC 248 JOINT FREQUENCY 250 PEARSON VS. YATES AND CONTINUITY
CORRECTIONS 252 B. CHI-SQUARE WITH MORE THAN TWO CATEGORIES 254 C.
ASSUMPTIONS OF CHI-SQUARE 258 D. EXAMPLES AND APPLICATIONS 261 NAACP V.
CITY OF MANSFIELD 262 JUDICIAL NOTICE OF CHI-SQUARE? 264 II. STUDENT S
/-STATISTIC 265 A. CALCULATING STUDENT S T 265 ONE- AND TWO-TAILED TESTS
AS APPLIED TO THE BLOOM COUNTY PROBLEM 270 B. ASSUMPTIONS OF THE /-TEST
AND SOME TIPS FOR ITS USE 270 1. UNEQUAL VARIANCES 271 2. NORMALITY 271
3. PAIRED SAMPLES 274 4. DIVIDING INTO HALVES, QUANTILES, OR OTHER
GROUPS 275 III. ANOVA AND THE F-STATISTIC 277 CONTENTS A. ANOVA AND
CALCULATION OF THE F-STATISTIC B. ASSUMPTIONS OF ANOVA AND THE
^-STATISTIC 1. NORMALITY 2. HOMOGENOUS VARIANCE C. FACTORIAL ANOVA D.
EXAMPLES AND APPLICATIONS JENNIFER K. ROBBENNOLT, APOLOGIES AND LEGAL
SETTLEMENT: AN EMPIRICAL EXAMINATION CONCLUSION EXERCISES BIBLIOGRAPHY
CUPTER 11: CORRELATION AND REGRESSION ANALYSIS CAUSAL INFERENCE I.
ASSOCIATIONS AMONG VARIABLES A. SCATTERPLOTS B. COVARIANCE AND
CORRELATION 1. COVARIANCE ANSCOMBE S QUARTET 2. CORRELATION II.
REGRESSION A. SIMPLE LINEAR REGRESSION: THE CONCEPT B. SIMPLE LINEAR
REGRESSION: AN EXAMPLE C. SIMPLE LINEAR REGRESSION: GOODNESS OF FIT AND
MEASURING STATISTICAL SIGNIFICANCE OF THE COEFFICIENTS 1. GOODNESS OF
FIT 2. STATISTICAL SIGNIFICANCE OF THE COEFFICIENT D. MULTIPLE
REGRESSION 1. GENERALLY 2. MULTIPLE REGRESSION: AN EXAMPLE 3. COMPARING
MULTIPLE REGRESSION MODELS E. THINGS TO WATCH FOR AND THINGS THAT CAN GO
WRONG 1. VIOLATIONS OF THE ASSUMPTIONS REGARDING THE ERROR TERMS A.
HETEROSKEDASTICITY B. SERIAL CORRELATION 2. OMITTED VARIABLE BIAS 3.
MULTICOLLINEARITY OMITTED AND INCLUDED VARIABLES IN DISCRIMINATION
ANALYSES 4. CAUSALITY 277 281 282 282 282 283 283 285 285 288 289 290
291 291 293 293 294 297 300 301 304 306 306 310 312 312 313 318 319 320
321 323 324 326 328 330 CONTENTS XVII CONCLUSION 330 EXERCISES 331
BIBLIOGRAPHY 333 CKAPFEIR 12: SPECIALIZED REGRESSION TECHNIQUES 335 I.
NONLINEARITIES, TRANSFORMATIONS, AND INTERACTIONS 336 A. NONLINEARITIES
GENERALLY 337 B. TRANSFORMATIONS AGAIN 339 C. INTERACTIONS 343 II.
LIMITED DEPENDENT VARIABLES 344 A. CATEGORICAL DEPENDENT VARIABLES:
LOGIT AND PROBIT REGRESSION 345 B. CENSORED DEPENDENT VARIABLES: THE
TOBIT REGRESSION 350 C. TRUNCATED DEPENDENT VARIABLES 352 III.
MULTILEVEL MODELS (HIERARCHICAL LINEAR MODELING) 353 IV. DATA THAT SPAN
TIME PERIODS 354 A. TIME-SERIES DATA 354 B. PANEL DATA 356 V. USING
INSTRUMENTAL VARIABLES TO DEAL WITH THE PROBLEM OF SIMULTANEITY 357 A.
INSTRUMENTAL VARIABLES 358 B. TWO-STAGE LEAST SQUARES REGRESSION (2SLS)
360 CONCLUSION 361 EXERCISES 362 BIBLIOGRAPHY 364 PART IV. COMMUNICATING
YOUR RESULTS: WRITING ABOUT AND PRESENTING EMPIRICAL MATTERS 367
CLIAIPITER 13: COMMUNICATING EMPIRICAL RESULTS 369 I. WRITING ABOUT
EMPIRICAL MATTERS 369 A. SOME GENERAL CONSIDERATIONS 369 B. DISPLAYING
DATA: TABLES AND FIGURES 373 1. TABLES 375 2. FIGURES 378 II.
PRESENTATIONS 387 A. ORAL PRESENTATIONS OF EMPIRICAL RESEARCH 388 B.
PRESENTATION SOFTWARE 390 CONCLUSION 391 BIBLIOGRAPHY 392 XVIII CONTENTS
CHAPTER 14: CONCLUSIONS 395 I. WHAT HAVE WE LEARNED? 395 II. THE BIASED
ASSIMILATION OF EMPIRICAL STUDIES 397 III. THE PROMISE OF EMPIRICAL
METHODS IN LAW 399 CONCLUSION 401 BIBLIOGRAPHY 401 GLOSSARY 403 INDEX
431
|
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| id | DE-604.BV036082032 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:11:08Z |
| institution | BVB |
| isbn | 9780735577251 |
| language | English |
| lccn | 2009046062 |
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| physical | XXV, 446 S. graph. Darst. |
| publishDate | 2010 |
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| publisher | Aspen Publishers |
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| spelling | Lawless, Robert M. 1964- Verfasser (DE-588)141355298 aut Empirical methods in law Robert M. Lawless ; Jennifer K. Robbennolt ; Thomas S. Ulen New York Aspen Publishers 2010 XXV, 446 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Recht Law Statistical methods Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Empirische Forschung (DE-588)4300400-3 gnd rswk-swf Rechtswissenschaft (DE-588)4076570-2 gnd rswk-swf Recht (DE-588)4048737-4 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Recht (DE-588)4048737-4 s Sozialwissenschaften (DE-588)4055916-6 s Methode (DE-588)4038971-6 s DE-604 Rechtswissenschaft (DE-588)4076570-2 s Empirische Forschung (DE-588)4300400-3 s 1\p DE-604 Robbennolt, Jennifer K. Verfasser aut Ulen, Thomas S. 1946- Verfasser (DE-588)128780606 aut SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018973086&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Lawless, Robert M. 1964- Robbennolt, Jennifer K. Ulen, Thomas S. 1946- Empirical methods in law Recht Law Statistical methods Sozialwissenschaften (DE-588)4055916-6 gnd Empirische Forschung (DE-588)4300400-3 gnd Rechtswissenschaft (DE-588)4076570-2 gnd Recht (DE-588)4048737-4 gnd Methode (DE-588)4038971-6 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4300400-3 (DE-588)4076570-2 (DE-588)4048737-4 (DE-588)4038971-6 |
| title | Empirical methods in law |
| title_auth | Empirical methods in law |
| title_exact_search | Empirical methods in law |
| title_full | Empirical methods in law Robert M. Lawless ; Jennifer K. Robbennolt ; Thomas S. Ulen |
| title_fullStr | Empirical methods in law Robert M. Lawless ; Jennifer K. Robbennolt ; Thomas S. Ulen |
| title_full_unstemmed | Empirical methods in law Robert M. Lawless ; Jennifer K. Robbennolt ; Thomas S. Ulen |
| title_short | Empirical methods in law |
| title_sort | empirical methods in law |
| topic | Recht Law Statistical methods Sozialwissenschaften (DE-588)4055916-6 gnd Empirische Forschung (DE-588)4300400-3 gnd Rechtswissenschaft (DE-588)4076570-2 gnd Recht (DE-588)4048737-4 gnd Methode (DE-588)4038971-6 gnd |
| topic_facet | Recht Law Statistical methods Sozialwissenschaften Empirische Forschung Rechtswissenschaft Methode |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018973086&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT lawlessrobertm empiricalmethodsinlaw AT robbennoltjenniferk empiricalmethodsinlaw AT ulenthomass empiricalmethodsinlaw |