Сравнение методов

	Анализ порядковых пунктов	Порядковый исследовательский факторный анализ
Область	Психометрия	Психометрия
Семейство	Latent structure	Latent structure
Год появления	1950s–1980s	1978–1984
Автор метода	Classical test theory tradition (Guilford, Nunnally, and others)	Bengt Muthén
Тип	Item-level diagnostic	Latent variable / dimension reduction
Основополагающий источник	Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070474659	Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491.
Другие названия	item analysis for ordinal data, polytomous item analysis, Likert item analysis, OIA	ordinal factor analysis, polychoric EFA, categorical EFA, EFA for ordinal data
Связанные	6	5
Сводка	Ordinal item analysis evaluates each individual item in a rating-scale or Likert-type instrument using descriptive and correlational statistics suited to ordered categorical response formats. It guides item selection and refinement by flagging items with problematic difficulty, poor discrimination, or low corrected item-total correlations before reliability and validity studies proceed.	Ordinal exploratory factor analysis discovers latent factors underlying a set of ordinal items — typically Likert scales — by computing polychoric correlations among the items and then applying a weighted least squares estimator. It avoids the distortions that arise when continuous EFA methods are naively applied to ordered categorical responses.