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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Detalhes bibliográficos

Principais autores:	Yaroslav Kostenko, Andrii Gorbachyk
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taras Shevchenko National University of Kyiv 2025-06-01
coleção:	Соціологічні студії
Assuntos:	data quality missing data data imputation multiple imputation logistic regression clustering
Acesso em linha:	https://sociostudios.knu.ua/index.php/socio/article/view/417
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