Fancy seeing you here again: Uncovering individual-level panel data in repeated cross-sectional surveys (Record no. 524849)
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| 000 -LEADER | |
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| fixed length control field | 01671nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240124b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Geys, Benny |
| 245 ## - TITLE STATEMENT | |
| Title | Fancy seeing you here again: Uncovering individual-level panel data in repeated cross-sectional surveys |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Public Administration Review |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 83(6), Nov-Dec, 2023: p.1761-1771 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Many theories in Public Administration and Public Management explicitly relate to changes over time in the attitudes, values, perceptions, and/or motivations of public-sector employees. Examining such theories using (repeated) cross-sectional datasets may lead to biased inferences and an inability to expose credible causal relationships. As developing individual-level panel datasets is costly and time-consuming, this article presents a method to make better use of existing surveys fielded repeatedly among the same respondent pool without individual identifiers. Specifically, it sets out an approach to create a system of unique identifiers using information about respondents' background characteristics available within the original data. The result is a panel dataset that allows tracking (a subset of) individual respondents across time. The article discusses issues of feasibility, credibility as well as ethical considerations. The methodology has further practical value by highlighting data characteristics that can help minimize identifiability of respondents while creating public-release datasets. – Reproduced https://onlinelibrary.wiley.com/doi/10.1111/puar.13693 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Public Administration Review |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| Subject DIP | PUBLIC ADMINISTRATION |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2024-01-24 | 83(6), Nov-Dec, 2023: p.1761-1771 | AR130655 | 2024-01-24 | Articles |