Toward best practices in analyzing datasets with missing data: Comparisons and recommendations
DR Johnson, R Young - Journal of Marriage and Family, 2011 - Wiley Online Library
Although several methods have been developed to allow for the analysis of data in the
presence of missing values, no clear guide exists to help family researchers in choosing …
presence of missing values, no clear guide exists to help family researchers in choosing …
Missing data
RJA Little, N Schenker - Handbook of statistical modeling for the social …, 1995 - Springer
Studies in the social and behavioral sciences frequently suffer from missing data. For
instance, sample surveys often have some individuals who either refuse to participate or do …
instance, sample surveys often have some individuals who either refuse to participate or do …
Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research
J Hardt, M Herke, R Leonhart - BMC medical research methodology, 2012 - Springer
Background Multiple imputation is becoming increasingly popular. Theoretical
considerations as well as simulation studies have shown that the inclusion of auxiliary …
considerations as well as simulation studies have shown that the inclusion of auxiliary …
Using principal components as auxiliary variables in missing data estimation
To deal with missing data that arise due to participant nonresponse or attrition,
methodologists have recommended an “inclusive” strategy where a large set of auxiliary …
methodologists have recommended an “inclusive” strategy where a large set of auxiliary …
Understanding individual differences in approaches to learning across courses: A mixed method approach
L Coertjens, G Vanthournout… - Learning and Individual …, 2016 - Elsevier
The current study aims at investigating the variability of students' approaches across three
learning environments and at relating these approaches to students' general study …
learning environments and at relating these approaches to students' general study …
[图书][B] Parceling in structural equation modeling: A comprehensive introduction for developmental scientists
Parceling is pre-modeling strategy to create fewer and more reliable indicators of constructs
for use with latent variable models. Parceling is particularly useful for developmental …
for use with latent variable models. Parceling is particularly useful for developmental …
Multiple imputation in the presence of high-dimensional data
Missing data are frequently encountered in biomedical, epidemiologic and social research. It
is well known that a naive analysis without adequate handling of missing data may lead to …
is well known that a naive analysis without adequate handling of missing data may lead to …
Auxiliary variables in multiple imputation when data are missing not at random
S Mustillo, S Kwon - The Journal of Mathematical Sociology, 2015 - Taylor & Francis
Most current implementations of multiple imputation (MI) assume that data are missing at
random (MAR), but this assumption is generally untestable. We performed analyses to test …
random (MAR), but this assumption is generally untestable. We performed analyses to test …
Pay attention to the ignorable missing data mechanisms! an exploration of their impact on the efficiency of regression coefficients
L Chen, V Savalei, M Rhemtulla - Multivariate Behavioral …, 2023 - Taylor & Francis
The use of modern missing data techniques has become more prevalent with their
increasing accessibility in statistical software. These techniques focus on handling data that …
increasing accessibility in statistical software. These techniques focus on handling data that …
[图书][B] Are teachers prepared? Predictors of teachers' readiness to serve as mandated reporters of child abuse
EA Greytak - 2009 - search.proquest.com
Abstract The Child Abuse Prevention and Treatment Act (1974) requires that states receiving
US federal funds directed at child abuse implement mandated reporting laws. As a result, all …
US federal funds directed at child abuse implement mandated reporting laws. As a result, all …