Events, Instruments, and Reporting Errors
Bibliographic Data
| ID | 4522244 |
|---|---|
| Authors | Jennifer Dykema (0000-0002-7707-9752, University of Wisconsin–Madison, corresponding author), Nora Cate Schaeffer (0000-0001-9837-3603, University of Wisconsin–Madison) |
| Year | 2000 |
| Volume | 65 |
| Issue | 4 |
| Pages | 619-629 |
| Publication date | 2000-08-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Sociological Review (JOURNAL) |
| Journal identifiers | ISSN: 0003-1224 • E-ISSN: 1939-8271 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.2307/2657386 |
| OpenAlex | W2326622198 |
| Language | EN |
| Citations received | 15 |
| References cited | 9 |
Social scientists frequently lack methods for assessing the accuracy of survey responses about events and behaviors. And often they do not have a general framework for understanding or systematically analyzing the characteristics of experience, if any, that influence errors in reports about those events. In this validation study, structural features or characteristics of exchanging child support payments are examined to predict errors in reports about those events. The analysis compares court records about child support payments with answers from two telephone surveys that use parallel samples of divorced parents. Results show that indicators for the complexity, clarity, and affective intensity of the events predict reporting errors
Business · CLARITY · Data science · Payment · Telephone survey · Applied Psychology · Computer Science · Gender, Labor, and Family Dynamics · Psychology · Social Capital and Networks · Social Psychology · Survey Methodology and Nonresponse · Urban, Neighborhood, and Segregation Studies
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| Unique citing works | 15 |
|---|---|
| Citations per year | 0,65 |
| Citation span | 2003 - 2024 (22) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 15 |