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Analisis Faktor untuk Pembangunan Skala×Kesan Batas Bawah dan Batas Atas×
BidangPsikometrikPsikometrik
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19472000
PengasasLouis ThurstoneClassical psychometrics
JenisExploratory factor analysis methodologyMeasurement validity assessment
Sumber perintisThurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557McHorney, C. A. (2000). Ten recommendations for measuring health status. Health-Related Quality of Life Outcomes, 2(1), 1-5. link ↗
AliasExploratory factor analysis, EFA for scale development, Factorial structure analysisFloor effect, Ceiling effect, Psychometric floor effect, Measurement floor
Berkaitan54
RingkasanExploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors.Floor and ceiling effects are psychometric phenomena in which a disproportionately large proportion of respondents achieve the lowest (floor) or highest (ceiling) possible score on a measurement scale. These effects compromise scale reliability and responsiveness, limiting the instrument's ability to distinguish among respondents and detect meaningful change over time. Systematic assessment of floor and ceiling effects is essential for evaluating the psychometric adequacy of health-related quality-of-life scales, functional status measures, and other patient-reported outcomes.
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ScholarGateBandingkan kaedah: Factor Analysis for Scale Development · Floor and Ceiling Effect. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare