Why sample selection matters in exploratory factor analysis: Implications for the 12-item World Health Organization Disability Assessment Schedule 2.0
Version 3 2024-06-17, 23:10
Version 2 2024-06-04, 11:57
Version 1 2017-03-13, 17:02
journal contribution
posted on 2024-06-17, 23:10 authored by Cadeyrn Gaskin, SD Lambert, Steve BoweSteve Bowe, Liliana OrellanaLiliana OrellanaWhy sample selection matters in exploratory factor analysis: Implications for the 12-item World Health Organization Disability Assessment Schedule 2.0
History
Journal
BMC Medical Research MethodologyVolume
17Article number
ARTN 40Pagination
1 - 9Location
EnglandPublisher DOI
Open access
- Yes
ISSN
1471-2288eISSN
1471-2288Language
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2017, The AuthorsIssue
1Publisher
BIOMED CENTRAL LTDUsage metrics
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Keywords
Science & TechnologyLife Sciences & BiomedicineHealth Care Sciences & ServicesExploratory factor analysisEligibility criteriaSample selectionInstrument validationPsychometric assessmentWHODAS 2.0ICFDisabilityLIKERT VARIABLESINDICATORSMETHODOLOGIESPEOPLENUMBERJIFFYITEMexploratory factor analysiseligibility criteriasample selectioninstrument validationpsychometric assessmentdisability111799 Public Health and Health Services not elsewhere classified970111 Expanding Knowledge in the Medical and Health Sciences4206 Public health4202 Epidemiology4203 Health services and systems
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