Missing Data Imputation versus Full Information Maximum Likelihood with Second-Level Dependencies

Larsen, Ross

doi:10.1080/10705511.2011.607721

Cited by 219 publications

(124 citation statements)

References 15 publications

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“…MMSE scores in the retained sample were stable over the course of study (mean latent change = −0.02, p = 0.66; individual differences in change = 0.02, p = 0.15) and remained high (see Table 1). Thus, the missing longitudinal data were treated as missing at random and were handled via full information maximum likelihood (FIML), a method that utilizes all available data to optimize estimation without imputation (Muthén et al 1987; Larsen 2011). …”

Section: 0 Materials and Methodsmentioning

confidence: 99%

Accumulation of iron in the putamen predicts its shrinkage in healthy older adults: A multi-occasion longitudinal study

Daugherty

Raz

2016

NeuroImage

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Accumulation of non-heme iron is believed to play a major role in neurodegeneration of the basal ganglia. In healthy aging, however, the temporal relationship between change in brain iron content and age-related volume loss is unclear. Here, we present the first long-term longitudinal multi-occasion investigation of changes in iron content and volume in the neostriatum in a sample of healthy middle-aged and older adults (N = 32; ages 49–83 years at baseline). Iron content, estimated via R2* relaxometry, increased in the putamen, but not the caudate nucleus. In the former, the rate of accumulation was coupled with change in volume. Moreover, greater baseline iron content predicted faster shrinkage and smaller volumes seven years later. Older age partially accounted for individual differences in neostriatal iron content and volume, but vascular risk did not. Thus, brain iron content may be a promising biomarker of impending decline in normal aging.

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Section: 0 Materials and Methodsmentioning

confidence: 99%

Accumulation of iron in the putamen predicts its shrinkage in healthy older adults: A multi-occasion longitudinal study

Daugherty

Raz

2016

NeuroImage

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“…We used full information maximum likelihood estimation (FIML) to handle missing data because this procedure produces robust parameter estimates using all of the information available in the data (Muthén & Muthén, 1998. When performing multilevel analyses, the FIML procedure has shown to perform equivalently or even better with regard to producing unbiased estimates for missing data than multiple imputation procedures (Larsen, 2011). …”

Section: Missing Datamentioning

confidence: 99%

Teacher characteristics, social classroom relationships, and children's social, emotional, and behavioral classroom adjustment in special education

Breeman

Wubbels

Lier

et al. 2015

Journal of School Psychology

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“…FIML relies on data missing at random (MAR), and research has found that this method resulted in unbiased parameter estimates, even in some cases that violated this assumption (e.g. Enders & Bandalos, 2001;Graham, 2009;Larsen, 2011 Table 2 shows the results that allow us to evaluate hypotheses 1 to 4 concerning direct transfer and sex-role learning. We start with the simplest model, in which parents' characteristics are constrained to be equal across groups (model 1).…”

Section: Analysesmentioning

confidence: 99%

Intergenerational transmission of gender segregation: How parents’ occupational field affects gender differences in field of study choices

Vleuten

Jaspers

Maas

et al. 2018

British Educational Res J

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The study explores how parents' occupational field affects gender differences in educational fields. On the one hand, the theory of direct transfer predicts that adolescents enter fields similar to those of their parents because of intergenerational transmission of occupation-specific resources and that adolescents are more likely to draw upon the resources provided by the higher-status parent. On the other hand, the theory of sex-role learning predicts that boys and girls are more likely to choose more gender-stereotypical fields of study because they learn 'appropriate' gender-role behaviour from their parents' occupational field and that boys are more likely to learn this behaviour from their father and girls from their mother. We use longitudinal data collected from adolescents and their parents in the Netherlands (N = 2,497) and tested our hypotheses using multiple-group structural equation modelling and multinomial regression analyses. In line with sex-role learning, results show that especially mothers who are employed in a more feminine occupational field influence their daughters to enter a more feminine field of study (health, biology, agriculture and veterinary) and their sons to enter a more masculine field of study (science and technology). Mothers' occupational field therefore not only influences girls' field of study, but also boys'. This study highlights the role of horizontal characteristics when examining which field of study adolescents enter. Contrary to the stratification literature, which primarily focuses on fathers, this study concludes that mothers play a more important role in gender differences in fields of study.Keywords: parents' occupational field; field of study; gender differences This research was supported by the Dutch Scientific Organisation (NWO) research talent grant entitled 'Gendered Choices: school and field of study trajectories of male and female adolescents in four European countries' [grant number 406-12-018]. Additionally, financial support from the NORFACE research programme on Migration in Europe -Social, Economic, Cultural and Policy Dynamics and from "NWO middelgroot" [480-11-013] is acknowledged. *Corresponding author. Department of Sociology/ICS, Radboud University Nijmegen, Thomas van Aquinostraat 6, 6525 GD Nijmegen, The Netherlands. E-mail: m.vandervleuten@maw.ru.nl. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.British Educational Research Journal Vol. 44, No. 2, April 2018, pp. 294-318 DOI: 10.1002 Introduction Boys and girls are still segregated into different occupational fields, partly owing to persistent gender differences in fields of study. Boys are more likely to enter gender-stereotypical masculine fields of study such as engineering and mathematics, whereas girls are more likely to enter gender-stereotypical feminine fields such as the hum...

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Missing Data Imputation versus Full Information Maximum Likelihood with Second-Level Dependencies

Cited by 219 publications

References 15 publications

Accumulation of iron in the putamen predicts its shrinkage in healthy older adults: A multi-occasion longitudinal study

Accumulation of iron in the putamen predicts its shrinkage in healthy older adults: A multi-occasion longitudinal study

Teacher characteristics, social classroom relationships, and children's social, emotional, and behavioral classroom adjustment in special education

Intergenerational transmission of gender segregation: How parents’ occupational field affects gender differences in field of study choices

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