ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

ポリトマス・ラッシュモデル×確認的因子分析(CFA)×
分野心理測定学心理測定学
系統Latent structureLatent structure
提唱年1978–19821969
提唱者Gerhard N. Masters (Partial Credit Model); David Andrich (Rating Scale Model)Karl Gustav Jöreskog
種類Item response modelHypothesis-testing latent variable model
原典Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
別名PRM, Rating Scale Model, Partial Credit Model, Polytomous IRT RaschCFA, confirmatory FA, measurement model, restricted factor analysis
関連64
概要The Polytomous Rasch Model extends the dichotomous Rasch framework to ordered response scales with three or more categories, such as Likert items or partial-credit tasks. It estimates person ability and item difficulty on the same interval-level logit scale, and it tests whether the response categories function as intended — prerequisites for rigorous ordinal measurement.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Polytomous Rasch Model · Confirmatory factor analysis. 2026-06-17に以下より取得 https://scholargate.app/ja/compare