| Description |
1 online resource : illustrations |
| Series |
SAGE Research Methods. Cases |
|
SAGE Research Methods. Cases
|
| Summary |
Policies and program evaluations would benefit from wider applications of event history-style analysis utilizing cross-sectional data via a new method: event outcome analysis. Event outcome analysis is presented as a new approach for assessing theoretical frameworks such as the Policy Paradox. The presence of sufficient literature-based support for the expanded application of cross-sectional data is confirmed by an interdisciplinary, methodological review of (1) literature on event history analysis, (2) a small subset of recent event histories conducted with cross-sectional data, and (3) recommendations and best practices for cross-sectional data integrity assurance. Thus, this article synthesizes extensive event history literature, cross-sectional applications, and other methodology research (related to survey data and cross-sectional vs. longitudinal data) to develop a framework for event outcome analysis, which includes a five-phase methodology with considerations, recommendations, and best practices from the literaturéspanning the breadth of interdisciplinary resources. Finally, an initial beta test study is presented as a first step toward expanding the methodology to evaluate policy and program outcomes |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Description based on XML content |
| Subject |
Multilevel models (Statistics)
|
|
Research -- Methodology.
|
| Form |
Electronic book
|
| Author |
Stream, Christopher Craven, author
|
| ISBN |
1526479699 |
|
9781526479693 (ebook) |
|
