Missing Categorical Data in Sociological Surveys: An Experimental Evaluation of Imputation Techniques

Missing categorical data presents a persistent challenge to data quality in quantitative sociological research, where simpler approaches can lead to biased estimates and incorrect conclusions. This article provides an empirically grounded evaluation of multiple imputation (MI) strategies for categor...

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Egile Nagusiak:	Yaroslav Kostenko, Andrii Gorbachyk
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Taras Shevchenko National University of Kyiv 2025-06-01
Saila:	Соціологічні студії
Gaiak:	data quality missing data data imputation multiple imputation logistic regression clustering
Sarrera elektronikoa:	https://sociostudios.knu.ua/index.php/socio/article/view/417
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!