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Bias Reduction Using Mahalanobis Metric Matching NIE

Author(s):
Rubin, Donald B.
Publication Year:
1978
Report Number:
RB-78-17
Source:
ETS Research Bulletin
Document Type:
Report
Page Count:
12
Subject/Key Words:
Guggenheim Fellowship, National Institute of Education (NIE), Bias, Mathematical Formulas, Sampling, Statistical Analysis

Abstract

Monte Carlo methods are used to study the ability of nearest available Mahalanobis metric matching to make the means of matching variables more similar in matched samples than in random samples. (12pp.)

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