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Cross-lagged models are by far the most commonly used method to test the prospective effect of one construct on another, yet there are no guidelines for interpreting the size of cross-lagged effects. This research aims to establish empirical benchmarks for cross-lagged effects, focusing on the cross-lagged panel model (CLPM) and the random intercept cross-lagged panel model (RI-CLPM). We drew a quasirepresentative sample of studies published in four subfields of psychology (i.e., developmental, social-personality, clinical, and industrial-organizational). The dataset included 1,028 effect sizes for the CLPM and 302 effect sizes for the RI-CLPM, based on data from 174 samples. For the CLPM, the 25th, 50th, and 75th percentiles of the distribution corresponded to cross-lagged effect sizes of .03, .07, and .12, respectively. For the RI-CLPM, the corresponding values were .02, .05, and .11. Effect sizes did not differ significantly between the CLPM and RI-CLPM. Moreover, effect sizes did not differ significantly across subfields and were not moderated by design characteristics. However, effect sizes were moderated by the concurrent correlation between the constructs and the stability of the predictor. Based on the findings, we propose to use .03 (small effect), .07 (medium effect), and .12 (large effect) as benchmark values when interpreting the size of cross-lagged effects, for both the CLPM and RI-CLPM. In addition to aiding in the interpretation of results, the present findings will help researchers plan studies by providing information needed to conduct power analyses and estimate minimally required sample sizes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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http://dx.doi.org/10.1037/met0000499 | DOI Listing |
Addict Behav
September 2025
Department of Psychology, Korea Military Academy, 574 Hwarang-ro, Nowon-gu, Seoul 01805, Republic of Korea. Electronic address:
Emerging evidence suggests a positive link between parental and child problematic smartphone use (PSU), yet the direction and reciprocity of this relationship over time remain unclear. Here, we address this gap by examining six years (2018-2023) of PSU data from 4,086 parent-child dyads in South Korea, comprising two cohorts: a child cohort (1,984 dyads; mean child age = 11.00, 51.
View Article and Find Full Text PDFAppl Psychol Health Well Being
October 2025
Department of Educational Sciences, Masaryk University, Faculty of Arts, Czech Republic.
Burnout and perceived work ability (PWA) are critical factors influencing teachers' professional well-being and effectiveness. The potential bidirectional relationship between these constructs remains underexplored, particularly in primary and lower secondary school teachers. This study examines the reciprocal relationship between burnout and PWA among teachers over time, using the job demands-resources (JD-R) model and the conservation of resources (COR) theory.
View Article and Find Full Text PDFFront Psychol
August 2025
Centro de Estudios Avanzados en Justicia Educacional, Pontificia Universidad Católica de Chile, Santiago, Chile.
Introduction: Research has found a correlation between screen exposure in early childhood and children's socio-emotional development, particularly in Global North countries. However, the direction of the effect has not been extensively studied in early childhood, especially in Global South contexts. This study aims to describe the relationship and the bidirectional longitudinal associations between screen exposure and children's internalizing and externalizing problems among children in Chile.
View Article and Find Full Text PDFJ Child Psychol Psychiatry
September 2025
Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Background: Comorbidity and heterogeneity in psychiatric disorders may stem from a general psychopathology (p) factor influenced by both genetic and environmental factors. Although the relative contributions of these influences on psychopathology are established, the longitudinal associations between the p-factor and specific environmental exposures and the aetiology of these associations across development are not well understood. Here, we examine whether twin-rated home environment contributes to changes in the p-factor over time or, conversely, whether the p-factor influences twin-rated home environment, reflecting potential evocative gene-environment processes.
View Article and Find Full Text PDFGeriatr Gerontol Int
September 2025
The First Affiliated Hospital of Jinan University, Guangzhou, China.
Aim: This study aimed to explore the bidirectional temporal relationships between nocturnal sleep (duration and quality) and activities of daily living (ADL) in midlife and older couples, while analyzing cross-spousal effects to inform collaborative health interventions for aging populations.
Methods: The longitudinal study utilized three nationally representative waves of data (2015, 2018, 2020) from the China Health and Retirement Longitudinal Study (CHARLS). We included 2420 participants (1210 dyads).