Literaturnachweis - Detailanzeige
| Autor/in | Hitczenko, Marcin |
|---|---|
| Titel | Improved Estimation of Poisson Rate Distributions through a Multimode Survey Design |
| Quelle | In: Sociological Methods & Research, 51 (2022) 2, S.699-727 (29 Seiten)
PDF als Volltext |
| Zusatzinformation | ORCID (Hitczenko, Marcin) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0049-1241 |
| DOI | 10.1177/0049124119882465 |
| Schlagwörter | Surveys; Social Science Research; Recall (Psychology); Diaries; Accuracy; Decision Making; Case Studies; Inferences; Simulation; Error of Measurement; Hierarchical Linear Modeling |
| Abstract | Researchers interested in studying the frequency of events or behaviors among a population must rely on count data provided by sampled individuals. Often, this involves a decision between live event counting, such as a behavioral diary, and recalled aggregate counts. Diaries are generally more accurate, but their greater cost and respondent burden generally yield less data. The choice of survey mode, therefore, involves a potential trade-off between bias and variance of estimators. We use a case study comparing inferences about payment instrument use based on different survey designs to illustrate this dilemma. We then use a simulation study to show how and under what conditions a hybrid survey design can improve efficiency of estimation, in terms of mean-squared error. Overall, our work suggests that such a hybrid design can have considerable benefits, as long as there is nontrivial overlap in the diary and recall samples. (As Provided). |
| Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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