Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random AssignmentPaul J. Lavrakas, Michael W. Traugott, Courtney Kennedy, Allyson L. Holbrook, Edith D. de Leeuw, Brady T. West A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used. Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains. Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology. |
Contents
Probability SurveyBased Experimentation and the Balancing of Internal | 1 |
4 Threats to Internal Validity | 8 |
A Critical Review and Experimental | 23 |
19 | 32 |
3 | 44 |
The Challenge | 47 |
Nonresponse | 67 |
1 | 83 |
1 | 270 |
1 | 272 |
Randomized Experiments for WebMail Surveys Conducted Using | 275 |
Design | 293 |
Stata Syntax to Produce Table 15 3 Treatment Allocations | 306 |
Introduction to Section on Trend Data | 327 |
A National Spending Priority Items | 339 |
Vignette Experiments in Surveys | 369 |
Experiments on the Effects of Advance Letters in Surveys | 89 |
23 | 94 |
Overview of the Section on the Questionnaire | 111 |
1 | 112 |
3 | 125 |
Impact of Response Scale Features on Survey Responses to Behavioral | 131 |
3 | 138 |
A Question Wording | 143 |
An Experimental | 151 |
Item Nonresponse and Experimental Mortality | 167 |
The Case | 181 |
1 | 192 |
Introduction to Section on Interviewers | 195 |
4 | 212 |
Investigating Interviewer Effects and Confounds in SurveyBased | 225 |
k | 235 |
Introduction to Section on Adaptive Design | 245 |
6 | 250 |
3 5 Independent Randomization | 262 |
Generation of Questionnaire Versions and Allocation to Respondents | 375 |
Response Quality | 382 |
Conclusion | 388 |
Vignettes the Total Survey Error Framework and Cognitive Response Process | 394 |
5 | 401 |
7 | 404 |
Introduction to Section on Analysis | 417 |
An Answer in Replication | 423 |
Example from Hispanic Women Sample in Tucson AZ | 430 |
Probability Samples Facilitate Estimation of Average Treatment Effects | 437 |
Problems with Statistical Power | 443 |
Stratification for Studying Heterogeneity | 444 |
Implementing Sample Selection | 451 |
Experiments | 457 |
Wald Test | 464 |
Designing the MTME Experiment | 487 |
How can data collection minimize memory effects? | 493 |
| 501 | |