手法を比較

	順序尺度収束的妥当性	順序尺度信頼性分析
分野	心理測定学	心理測定学
系統	Latent structure	Latent structure
提唱年	1959 (validity framework); ordinal adaptation 1990s–2000s	2007
提唱者	Polychoric/tetrachoric correlation tradition (Pearson, 1900s); validity framework formalized by Campbell & Fiske (1959)	Bruno D. Zumbo and colleagues
種類	Validity assessment	Internal consistency reliability estimation
原典	Rhemtulla, M., Brosseau-Liard, P. E., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354–373.	Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29.
別名	OCV, convergent validity for ordinal scales, polychoric convergent validity, ordinal AVE	ordinal alpha, polychoric reliability, reliability for ordinal scales, ORA
関連	6	5
概要	Ordinal convergent validity assesses the degree to which indicators of the same latent construct correlate strongly with each other when those indicators are measured on ordinal (e.g., Likert-type) scales. It adapts standard convergent validity procedures — factor loadings, average variance extracted, and HTMT ratios — to account for the discrete, bounded nature of ordinal response categories using polychoric correlations and ordinal-appropriate estimation methods.	Ordinal reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal.