P
Peter Lugtig
Researcher at Utrecht University
Publications - 57
Citations - 2723
Peter Lugtig is an academic researcher from Utrecht University. The author has contributed to research in topics: Population & The Internet. The author has an hindex of 14, co-authored 53 publications receiving 2051 citations. Previous affiliations of Peter Lugtig include University of Essex.
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A checklist for testing measurement invariance
TL;DR: In this article, the authors provide a step-by-step guide to analysing measurement invariance of latent constructs, which is important in research across groups, or across time.
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Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance.
Rens van de Schoot,Rens van de Schoot,Anouck Kluytmans,Lars Tummers,Peter Lugtig,Joop J. Hox,Bengt Muthén +6 more
TL;DR: This paper provides a first step in the new research area of (partial) approximate MI and shows that it can be a good alternative when strict MI leads to a badly fitting model and when partial MI cannot be applied.
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Not doing bad things is not equivalent to doing the right thing: distinguishing between inhibitory and initiatory self-control
Denise T. D. de Ridder,Benjamin J. de Boer,Peter Lugtig,Arnold B. Bakker,Edwin A. J. van Hooft +4 more
TL;DR: In this article, the authors investigated whether a conceptual distinction between two components of self-control (inhibitory and initiatory selfcontrol) is empirically valid, and they employed a series of confirmative factor analyses in two samples (total N = 577) to provide support for a distinction between inhibitory and initiation self control, and examined the predictive validity of the two components by regression analyses with (un)desired health/academic behavior as dependent variables.
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Panel Attrition: Separating Stayers, Fast Attriters, Gradual Attriters, and Lurkers
Peter Lugtig,Peter Lugtig +1 more
TL;DR: The authors study attrition in a latent class framework, which allows the separation of different groups of respondents, that each follow a different and distinct process of attrition and classifies attriting respondents.
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The Use of PCs, Smartphones, and Tablets in a Probability-Based Panel Survey
Peter Lugtig,Vera Toepoel +1 more
TL;DR: The higher measurement error in tablets and smartphones is associated with self-selection of the sample into using a particular device, which is larger on tablets and smartphone than on PCs.