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Loneliness and hostility in older adults: A cross-lagged model.
Psychology and Aging, 2020Loneliness takes a meaningful toll on individuals' physical and mental well-being. One of its possible consequences is the perception that others are not to be trusted and are a source of wrongdoing, defined as cynical hostility. At the same time, cynical hostility could also deter individuals from seeking the comfort of close social relationships.
Dikla, Segel-Karpas, Liat, Ayalon
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Dating violence: A cross‐lag path model with pregnant and parenting adolescents
Journal of Adolescence, 2020ABSTRACTIntroductionDating violence is a common problem among adolescents, particularly among Latinx pregnant and parenting adolescents, and can be detrimental to adolescent parents and their children. However, little is known about whether different forms of dating violence behaviors are stable over time or what influences changes in these behaviors ...
Eric T, Goodcase +3 more
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On the Practical Interpretability of Cross-Lagged Panel Models: Rethinking a Developmental Workhorse
Child Development, 2017Abstract Reciprocal feedback processes between experience and development are central to contemporary developmental theory. Autoregressive cross-lagged panel (ARCL) models represent a common analytic approach intended to test such dynamics.
Daniel, Berry, Michael T, Willoughby
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Equivalent Approaches in Cross-Lagged Panel Models?
2020Article comparing and contrasting competing approaches to dealing with unobserved time-invariant heterogeneity in cross-lagged panel models using structural equation ...
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On Cross-Lagged Panel Models With Serially Correlated Errors
Journal of Business & Economic Statistics, 1986Cross-lagged panel studies are studies in which two or more variables are measured for a large number of subjects at each of several points in time. The variables divide naturally into two sets, and the purpose of the analysis is to estimate and test the cross-effects between the two sets.
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Psychological Methods
This article considers identification, estimation, and model fit issues for models with contemporaneous and reciprocal effects. It explores how well the models work in practice using Monte Carlo studies as well as real-data examples. Furthermore, by using models that allow contemporaneous and reciprocal effects, the paper raises a fundamental question ...
Bengt, Muthén, Tihomir, Asparouhov
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This article considers identification, estimation, and model fit issues for models with contemporaneous and reciprocal effects. It explores how well the models work in practice using Monte Carlo studies as well as real-data examples. Furthermore, by using models that allow contemporaneous and reciprocal effects, the paper raises a fundamental question ...
Bengt, Muthén, Tihomir, Asparouhov
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Cross-lagged panel modeling with binary and ordinal outcomes.
Psychological MethodsTo date, cross-lagged panel modeling has been studied only for continuous outcomes. This article presents methods that are suitable also when there are binary and ordinal outcomes. Modeling, testing, identification, and estimation are discussed.
Bengt, Muthén +2 more
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A cross‐lagged model of the link between parental psychological control and adolescent aggression
Journal of Adolescence, 2019ABSTRACTIntroductionThe present study investigated the longitudinal relationship between parental psychological control and adolescent aggression in Chinese adolescents. We also explored whether adolescent gender plays a moderating role in this relationship.MethodsA total of 2458 adolescents (mean age = 13.20 ± 0.65 years; 51.3% male) from Beijing ...
Yan, He +3 more
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Longitudinal SEM in Mplus: Latent Growth and Cross-Lagged Models
2022This seminar introduces longitudinal panel data models in Mplus using SEM, including latent growth models (i.e., latent curve or latent trajectory models) and cross-lagged panel models (i.e., panel vector autoregression) with random and fixed effects, including the random intercept cross-lagged panel model (RI-CLPM) to assess time-varying and stable ...
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Behavior Research Methods
Endogeneity is a critical concern in research methodologies, yet it has been insufficiently addressed in longitudinal cross-lagged models, leading to potentially biased outcomes. This study scrutinized the endogeneity inherent in the cross-lagged panel model (CLPM), a prevalent and representative framework in longitudinal studies.
Junyan, Fang +3 more
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Endogeneity is a critical concern in research methodologies, yet it has been insufficiently addressed in longitudinal cross-lagged models, leading to potentially biased outcomes. This study scrutinized the endogeneity inherent in the cross-lagged panel model (CLPM), a prevalent and representative framework in longitudinal studies.
Junyan, Fang +3 more
openaire +2 more sources