Testing of the "Fisher Divorce Adjustment Scale" Questionnaire for Russian Sample in Kazakhstan
- Gulnara Kobylanovna Slanbekova
- Maira Pobedovna Kabakova
- Davlet Dubekovich Duisenbekov
- Mariya Vladimirovna Mun
- Sandugash Kansarovna Kudaibergenova
Abstract
The article presents the experience of adaptation of foreign questionnaire "Fisher Divorce Adjustment Scale). The substantiation of the necessity of testing the English version of the questionnaire for the Russian-speaking population, is living in Kazakhstan. This is due to primarily to the lack of this kind of instructional techniques and methods for psych diagnosis divorced people to help them in further need of psychological help in overcoming post-divorce crisis. Considers the organizational aspects of the Russian version of the test in compliance with the requirements of appropriate testing it was translated into the Russian language techniques. Describes how to create traditional primary forms of the questionnaire and its psychometric test. Analyzes the reasons for the low efficiency of the statements identified after analysis of the items, as well as some aspects of performance of psychometric characteristics of test.- Full Text: PDF
- DOI:10.5539/ass.v11n6p83
This work is licensed under a Creative Commons Attribution 4.0 License.
Journal Metrics
Index
- Academic Journals Database
- BASE (Bielefeld Academic Search Engine)
- Berkeley Library
- CNKI Scholar
- COPAC
- EBSCOhost
- EconBiz
- Elektronische Zeitschriftenbibliothek (EZB)
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- GETIT@YALE (Yale University Library)
- Harvard Library
- IBZ Online
- IDEAS
- Infotrieve
- JournalTOCs
- LOCKSS
- MIAR
- Mir@bel
- NewJour
- OAJI
- Open J-Gate
- PKP Open Archives Harvester
- Publons
- Questia Online Library
- RePEc
- SafetyLit
- SHERPA/RoMEO
- Standard Periodical Directory
- Stanford Libraries
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- Universe Digital Library
- VOCEDplus
- WorldCat
Contact
- Jenny ZhangEditorial Assistant
- ass@ccsenet.org