| 000 -LEADER |
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| fixed length control field |
01563nam a2200169Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
181130s2018 xx 000 0 und d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Somers, Mark John |
| 245 ## - TITLE STATEMENT |
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| Title |
Strategies for improving measurement models for secondary data in public administration research: |
| Remainder of title |
illustrations from the federal employee viewpoint survey |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2018 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
p.228-239. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| -- |
Mar/Apr |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
This article builds on Fernandez et al.'s 2015 review of Federal Employee Viewpoint Survey (FEVS) research by focusing on two unexplored areas: measurement models and measurement quality. Employing the notion of an auxiliary measurement theory as an organizing framework, the author assesses the use of FEVS survey items to operationalize theoretical constructs and procedures in order to establish their psychometric quality. Results indicate that there is considerable variability in how FEVS items have been used to measure theoretical constructs, which is expressed as high levels of overlap across FEVS?derived scales. Inconsistency in the assessment of measurement quality is evident as well, with a bias toward convergent validity. Three cautionary tales are presented to demonstrate the fragility of FEVS data when used with a compromised auxiliary measurement theory. The article concludes with recommendations for future FEVS studies. - Reproduced. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Federal Employee Viewpoint Survey (FEVS) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Public administration - Research |
| 773 ## - HOST ITEM ENTRY |
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| Main entry heading |
Public Administration Review |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
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| a |
Public administration - Research |
