Applied Missing Data Analysis¶
Enders, C. K. (2010). Applied Missing Data Analysis. Guilford Press.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Missing Data Mechanisms (MCAR, MAR, MNAR)
- The broader organizational lesson was that a 42% response rate produces biased estimates by default unless the missingness mechanism is explicitly addressed
This sourceEnders comprehensive missing-data analysis covering bias in complete-case analysis.
- The broader organizational lesson was that a 42% response rate produces biased estimates by default unless the missingness mechanism is explicitly addressed
Mechanisms¶
- Full-Information Maximum Likelihood Path
- It uses every scrap of partial information without the bookkeeping of multiple completed datasets, and it is exact rather than simulation-based, so two analysts get the same number.
This sourceExplains that full-information maximum likelihood uses the available observed portions of incomplete records in one likelihood fit without creating multiple completed datasets.
- It uses every scrap of partial information without the bookkeeping of multiple completed datasets, and it is exact rather than simulation-based, so two analysts get the same number.
Verification¶
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Does it back the claim? Not recorded. Neither this nor any other of the 2 citations of this work carries a recorded support check.
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Registry ID ref:01fa8d52f0c5 · see in the full table