Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation

Gina L. Mazza, Craig K. Enders, Linda S. Ruehlman

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Fingerprint

Dive into the research topics of 'Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation'. Together they form a unique fingerprint.

Mathematics

Arts & Humanities

Medicine & Life Sciences

Social Sciences