Порівняння методів

	Оцінка робастної валідності змісту	Конвергентна валідність
Галузь	Психометрія	Психометрія
Родина	Latent structure	Latent structure
Рік появи	1975 (base); 2000s–2010s (robust extensions)	1959
Автор методу	Grounded in Lawshe (1975) CVR framework; robust extensions draw on Huber, Wilcox, and robust statistics tradition	Donald T. Campbell & Donald W. Fiske
Тип	Validity evidence / expert judgement procedure with outlier-resistant aggregation	Validity evidence / construct validation
Основоположне джерело	Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575.	Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105.
Інші назви	robust CVR, outlier-resistant content validity, robust content validity index, robust expert-panel validation	convergent construct validity, convergence validity, AVE-based convergent validity
Пов'язані	6	4
Підсумок	Robust content validity assessment applies outlier-resistant statistical methods to the aggregation of expert panel ratings in content validation studies. By detecting and down-weighting idiosyncratic or extreme rater judgements, it yields Content Validity Ratio (CVR) and Content Validity Index (CVI) estimates that reflect the consensus of the panel more accurately than standard averaging when one or a few raters deviate sharply from the group.	Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation.