Iris Eekhout
Iris Eekhout
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Missing data mechanisms
In research, missing data occur when a data value is unavailable. Many empirical studies encounter missing data. Missing data can occur in many stages of research due to many different causes in many different forms. Each type of missing data may have different reasons, and also different implication for the methods to deal with the missing data.The underlying reasons for missing data can be described as missing data mechanisms.
Last updated on Jun 28, 2022
15 min read
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Missing value analysis
Missing observations are defined as NA in R. Missing data can have different implications for data summaries, analyses and conclusions based on the data with missing values. In this post, different types of missing data are reviewed and explored in data examples.
Last updated on Jun 28, 2022
7 min read
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Passive multiple imputation
This post demonstrates how to perform passive multiple imputation to deal with missing items in a multi-item questionnaire.
Last updated on Jun 28, 2022
10 min read
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Agreement for dichotomous outcomes
This document describes the use of the Agree package for the data example that was used in the paper on specific agreement on dichotomous outcomes in the situation of more than two raters.
Last updated on Mar 2, 2022
3 min read
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Agreement for polytomous outcomes
This document describes the use of the Agree package for two data examples that are used in the paper on specific agreement on polytomous outcomes in the situation of more than two raters. The first data example is an example of ordinal ratings and the second example of nominal rating.
Last updated on Mar 2, 2022
7 min read
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