Impact of Missing Data on Data Quality in Social Research

Impact of Missing Data on Data Quality in Social Research

Missing data is a common issue in quantitative social research that negatively affects the data quality. This article explores the consequences of missing data, outlining the potential issues it may pose and emphasizing the importance of properly addressing the missingness. It outlines the patterns...

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Bibliographic Details
Main Author: Yaroslav Kostenko
Format: Article
Language:English
Published: Taras Shevchenko National University of Kyiv 2024-12-01
Series:Соціологічні студії
Subjects:
missing data
data quality
data imputation
multiple imputation
Online Access:https://sociostudios.vnu.edu.ua/index.php/socio/article/view/404
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