Applied Missing Data Analysis

By Craig K. Enders. 2010

2,113 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/676db56aa15389924ef84979beba7516f87f74af

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Citations in the corpus

Gender by racial/ethnic intersectionality in the patterns of Adolescents’ math motivation and their math achievement and engagement (2021, methodology): “…Grade 11 math class and were missing behavioral engagement, multiple imputation was estimated with 20 imputed datasets using a set of auxiliary variables to enhance the imputation process (Enders, 2010; see Appendix 5 for how the imputed participants compared with participants with complete data).”
Expectancy-Value Models for the STEM Persistence Plans of Ninth-Grade, High-Ability Students: A Comparison Between Black, Hispanic, and White Students (2014, background): “The mechanism for missing data was assumed to be missing at random (Enders, 2010).”
The relationship between parental literacy involvement, socio-economic status and reading literacy (2017, methodology): “It does this with Bayesian estimation techniques (see Enders 2010).”
Comparison of missing value imputation methods in time series: the case of Turkish meteorological data (2013, methodology): “For implementing the MI procedure, many different statistical methods are detailed in the literature (Tanner 1996; Enders 2010; Schafer 1997; Tan et al. 2010).”
Saving electricity – For the money or the environment? Risks of limiting pro-environmental spillover when using monetary framing (2015, methodology): “Full information maximum likelihood (FIML) was used for the estimation of missing values, as it is an appropriate method to deal with incomplete cases (Enders, 2010).”
Changes in Perceived Autonomy Support, Need Satisfaction, Motivation, and Well-Being in Young Elite Athletes (2015, methodology): “FIML is unbiased and a more efficient method under the missing at random (MAR) assumption compared with, for example, listwise deletion, which yields biased parameters under the MAR assumption (Enders, 2010).”
Partial least squares path modeling: Time for some serious second thoughts (2016, methodology): “Following Peng and Lai, we used mean substitution to replace the missing values (F. Lai, personal communication, July 15, 2015), although this strategy is known to be suboptimal (Enders, 2010, sec.”
Teacher effects on student achievement in first grade: which aspects matter most? (2014, methodology): “There is no formal test, however, to confirm that the missing data are MAR (Enders, 2010).”