Missing Data (Quantitative Applications in the Social Sciences)
Paul D. Allison’s Missing Data addresses a central challenge in quantitative social science research: working with incomplete datasets. This concise volume offers a focused resource for students, researchers, and practitioners seeking to understand missing information and its role in quantitative analysis.
About This Book
Missing Data is a quantitative social science title by Paul D. Allison.
The book focuses on the issue of incomplete or unavailable data in research.
It is intended for readers working with quantitative methods and social science datasets.
The subject is relevant to researchers, students, and professionals who need to consider missing information during data analysis.
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