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Journal articles on the topic 'Cross-lagged panel models'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Wysocki, Anna, Ian McCarthy, Riet van Bork, Angélique O. J. Cramer, and Mijke Rhemtulla. "Cross-lagged panel networks." advances.in/psychology 2, no. 1 (2025): e739621. https://doi.org/10.56296/aip00037.

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Network theory and accompanying methodology are becoming increasingly popular as an alternative to latent variable models for representing and, ultimately, understanding psychological constructs. The core feature of network models is that observed variables (e.g., symptoms of depression) directly influence one another over time (e.g., low mood --> concentration problems), resulting in an interconnected dynamical system. The dynamics of such a system might result in certain states (e.g., a depressive episode). Network modeling has been applied to cross-sectional data and intensive longitudin

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MAYER, LAWRENCE S., and STEVEN S. CARROLL. "Measures of Dependence for Cross-Lagged Panel Models." Sociological Methods & Research 17, no. 1 (1988): 93–120. http://dx.doi.org/10.1177/0049124188017001005.

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Mayer, Lawrence S. "On Cross-Lagged Panel Models with Serially Correlated Errors." Journal of Business & Economic Statistics 4, no. 3 (1986): 347. http://dx.doi.org/10.2307/1391576.

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Mayer, Lawrence S. "On Cross-Lagged Panel Models With Serially Correlated Errors." Journal of Business & Economic Statistics 4, no. 3 (1986): 347–57. http://dx.doi.org/10.1080/07350015.1986.10509531.

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Gauld, Christophe, Raoul P. P. P. Grasman, and Sébastien Bailly. "Usefulness of Cross-Lagged Panel Models for Clinical Research." CHEST 167, no. 6 (2025): 1537–40. https://doi.org/10.1016/j.chest.2024.12.013.

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Allison, Paul D., Richard Williams, and Enrique Moral-Benito. "Maximum Likelihood for Cross-lagged Panel Models with Fixed Effects." Socius: Sociological Research for a Dynamic World 3 (January 1, 2017): 237802311771057. http://dx.doi.org/10.1177/2378023117710578.

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Panel data make it possible both to control for unobserved confounders and allow for lagged, reciprocal causation. Trying to do both at the same time, however, leads to serious estimation difficulties. In the econometric literature, these problems have been solved by using lagged instrumental variables together with the generalized method of moments (GMM). Here we show that the same problems can be solved by maximum likelihood (ML) estimation implemented with standard software packages for structural equation modeling (SEM). Monte Carlo simulations show that the ML-SEM method is less biased an

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Zyphur, Michael J., Manuel C. Voelkle, Louis Tay, et al. "From Data to Causes II: Comparing Approaches to Panel Data Analysis." Organizational Research Methods 23, no. 4 (2019): 688–716. http://dx.doi.org/10.1177/1094428119847280.

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This article compares a general cross-lagged model (GCLM) to other panel data methods based on their coherence with a causal logic and pragmatic concerns regarding modeled dynamics and hypothesis testing. We examine three “static” models that do not incorporate temporal dynamics: random- and fixed-effects models that estimate contemporaneous relationships; and latent curve models. We then describe “dynamic” models that incorporate temporal dynamics in the form of lagged effects: cross-lagged models estimated in a structural equation model (SEM) or multilevel model (MLM) framework; Arellano-Bon

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Velasquez, Gertrudes, and Qian Zhang. "Cross-lagged Panel Mediation Models with Latent Constructs: Specification and Estimation." Multivariate Behavioral Research 55, no. 1 (2019): 142–43. http://dx.doi.org/10.1080/00273171.2019.1695569.

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Beck, Nathaniel, and Jonathan N. Katz. "Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models." Political Analysis 6 (1996): 1–36. http://dx.doi.org/10.1093/pan/6.1.1.

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In a previous article we showed that ordinary least squares with panel corrected standard errors is superior to the Parks generalized least squares approach to the estimation of time-series-cross-section models. In this article we compare our proposed method with another leading technique, Kmenta's “cross-sectionally heteroskedastic and timewise autocorrelated” model. This estimator uses generalized least squares to correct for both panel heteroskedasticity and temporally correlated errors. We argue that it is best to model dynamics via a lagged dependent variable rather than via serially corr

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Višić, Josipa, and Blanka Škrabić Perić. "The determinants of value of incoming cross-border mergers & acquisitions in European transition countries." Communist and Post-Communist Studies 44, no. 3 (2011): 173–82. http://dx.doi.org/10.1016/j.postcomstud.2011.07.004.

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This research aims to determine variables that affect the aggregate value of incoming cross-border M&As in European transitional countries. Dynamic panel models have been estimated using Arellano and Bond GMM estimator for period between year 1994 and 2008. The ratio of the total value of cross-border M&A to GDP of the country is the dependent variable. Independent variables include following indicators: lagged value of cross-border M&A to GDP, lagged GDP per capita, lagged GDP growth, inflation, interest rate spread, lagged private credit to GDP ratio, market capitalization to GDP

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Xu, Jie, Qian Zhang, and Yanyun Yang. "Impact of violations of measurement invariance in cross-lagged panel mediation models." Behavior Research Methods 52, no. 6 (2020): 2623–45. http://dx.doi.org/10.3758/s13428-020-01426-z.

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Zhai, Guangyu, and Tianxu Chu. "Assessing Carbon Emissions’ Impact on Drought in China’s Arid Regions: Cross-Lagged and Spatial Models." Sustainability 17, no. 5 (2025): 1891. https://doi.org/10.3390/su17051891.

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Global warming is projected to intensify the impact of droughts. Although numerous studies have examined carbon emissions and droughts, few have explored their interactive effects or the spatial spillover effects of carbon emissions on droughts. To address this gap, we use panel data from 2012 to 2021 for China’s arid, semi-arid, and potentially semi-arid regions in the future. First, we estimate city-level carbon emissions data for the study areas based on nighttime light data. We then apply a Random Intercept Cross-Lagged Panel Model to investigate the temporal causal relationship between ca

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Lucas, Richard E. "Why the Cross-Lagged Panel Model Is Almost Never the Right Choice." Advances in Methods and Practices in Psychological Science 6, no. 1 (2023): 251524592311583. http://dx.doi.org/10.1177/25152459231158378.

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The cross-lagged panel model (CLPM) is a widely used technique for examining reciprocal causal effects using longitudinal data. Critics of the CLPM have noted that by failing to account for certain person-level associations, estimates of these causal effects can be biased. Because of this, models that incorporate stable-trait components (e.g., the random-intercept CLPM) have become popular alternatives. Debates about the merits of the CLPM have continued, however, with some researchers arguing that the CLPM is more appropriate than modern alternatives for examining common psychological questio

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Berry, Daniel, and Michael T. Willoughby. "On the Practical Interpretability of Cross-Lagged Panel Models: Rethinking a Developmental Workhorse." Child Development 88, no. 4 (2016): 1186–206. http://dx.doi.org/10.1111/cdev.12660.

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Lac, Andrew, and Candice D. Donaldson. "Sensation seeking versus alcohol use: Evaluating temporal precedence using cross-lagged panel models." Drug and Alcohol Dependence 219 (February 2021): 108430. http://dx.doi.org/10.1016/j.drugalcdep.2020.108430.

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Mayer, Lawrence S. "Statistical inferences for cross-lagged panel models without the assumption of normal errors." Social Science Research 15, no. 1 (1986): 28–42. http://dx.doi.org/10.1016/0049-089x(86)90002-5.

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Sorjonen, Kimmo, and Bo Melin. "Prospective effects of mindfulness on anxiety and depressive symptoms may be spurious: Simulated reanalysis of a meta-analytic cross-lagged panel analysis." PLOS ONE 19, no. 5 (2024): e0302141. http://dx.doi.org/10.1371/journal.pone.0302141.

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A recent meta-analysis claimed decreasing prospective effects of acting with awareness and non-reacting, two facets of dispositional mindfulness, on subsequent anxiety and depressive symptoms. However, the meta-analytic cross-lagged effects were estimated while adjusting for a prior measurement of the outcome variable and it is known that such adjusted cross-lagged effects may be spurious due to correlations with residuals and regression to the mean. We fitted competing models on simulations of the same meta-analytic data and found that prospective effects of the mindfulness facets on anxiety

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Liu, Meimei, TuongVan Vu, Nienke van Atteveldt, and Martijn Meeter. "Testing the Reciprocal Effect between Value of Education, Time Investment, and Academic Achievement in a Large Non-Western Sample." Journal of Intelligence 11, no. 7 (2023): 133. http://dx.doi.org/10.3390/jintelligence11070133.

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Many theories of motivation suggest that motivation and academic achievement reinforce each other over time, yet few longitudinal studies have examined behavioral pathways that may mediate interplay from motivation to achievement. Moreover, empirical studies so far have mostly focused on Western countries. In this study, we first examined whether students’ value of education, as a measure of motivation, is reciprocally related to achievement (class rank and self-rated performance) in a sample of junior high schoolers in an East-Asian country (N = 3445, Korean Youth Panel Study). We tested this

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Moon, Hyungsik Roger, and Martin Weidner. "DYNAMIC LINEAR PANEL REGRESSION MODELS WITH INTERACTIVE FIXED EFFECTS." Econometric Theory 33, no. 1 (2015): 158–95. http://dx.doi.org/10.1017/s0266466615000328.

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We analyze linear panel regression models with interactive fixed effects and predetermined regressors, for example lagged-dependent variables. The first-order asymptotic theory of the least squares (LS) estimator of the regression coefficients is worked out in the limit where both the cross-sectional dimension and the number of time periods become large. We find two sources of asymptotic bias of the LS estimator: bias due to correlation or heteroscedasticity of the idiosyncratic error term, and bias due to predetermined (as opposed to strictly exogenous) regressors. We provide a bias-corrected

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Gagliardini, Patrick, and Christian Gourieroux. "EFFICIENCY IN LARGE DYNAMIC PANEL MODELS WITH COMMON FACTORS." Econometric Theory 30, no. 5 (2014): 961–1020. http://dx.doi.org/10.1017/s0266466614000024.

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This paper deals with asymptotically efficient estimation in exchangeable nonlinear dynamic panel models with common unobservable factors. These models are relevant for applications to large portfolios of credits, corporate bonds, or life insurance contracts. For instance, the Asymptotic Risk Factor (ARF) model is recommended in the current regulation in Finance (Basel II and Basel III) and Insurance (Solvency II) for risk prediction and computation of the required capital. The specification accounts for both micro- and macrodynamics, induced by the lagged individual observations and the commo

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Torres, Zaira, Sara Martínez-Gregorio, Irene Fernández, José M. Tomás, and Amparo Oliver. "Suicidal Ideation, Social Participation, Loneliness, and Mobility Limitations: Longitudinal Evidence in Older European Adults." Psicothema 36, no. 4 (2024): 341–50. http://dx.doi.org/10.7334/psicothema2023.261.

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Background: : Suicide behavior represents a major public health problem for the older population. Within the continuum of suicidal behavior, suicidal ideation may lead to a suicide attempts/death. Risk factors for developing suicidal ideation include mobility limitations, lack of social participation and loneliness. However, there is a need for longitudinal studies to examine these relationships over time. Method: : 50423 older people from three waves of the SHARE project formed the sample (60 years in the first wave; ± = 71.49 ± 8.15; 55% female). Results:: A series of nested Cross-Lagged Pan

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Yang, Xingyi, Danqing Zhang, and Yang Liu. "Relationship between movement behaviours and life satisfaction in Chinese children: A cross-lagged panel analysis." PLOS ONE 20, no. 2 (2025): e0318735. https://doi.org/10.1371/journal.pone.0318735.

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Understanding the impacts of daily movement behaviours on the well-being of children is crucial for developing effective health promotion strategies. This study examined the relationship between movement behaviours and life satisfaction (LS) using longitudinal data from a sample of primary school students. This one-year follow-up study included 683 students (8.91 ± 1.31 years old) from Shanghai, China. Information on days of moderate- to vigorous-physical activity (MVPA), days of muscle-strengthening exercise (MSE), screen time (ST), and sleep duration was measured via a self-reported question

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Dormann, Christian, Christina Guthier, and Jose M. Cortina. "Introducing Continuous Time Meta-Analysis (CoTiMA)." Organizational Research Methods 23, no. 4 (2019): 620–50. http://dx.doi.org/10.1177/1094428119847277.

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Meta-analysis of panel data is uniquely suited to uncovering phenomena that develop over time, but extant approaches are limited. There is no straightforward means of aggregating findings of primary panel studies that use different time lags and different numbers of waves. We introduce continuous time meta-analysis (CoTiMA) as a parameter-based approach to meta-analysis of cross-lagged panel correlation matrices. CoTiMA enables aggregation of studies using two or more waves even if there are varying time lags within and between studies. CoTiMA thus provides meta-analytic estimates of cross-lag

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Battalio, Samuel L., Connie L. Tang, and Mark P. Jensen. "Resilience and Function in Adults With Chronic Physical Disabilities: A Cross-Lagged Panel Design." Annals of Behavioral Medicine 54, no. 5 (2019): 297–307. http://dx.doi.org/10.1093/abm/kaz048.

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Abstract Background Resilience is a psychological construct referring to one’s positive adaptation in response to adversity. Evidence suggests that resilience may contribute to various function domains in adults with chronic physical disabilities. Purpose To test hypothesized temporal associations between resilience and four function domains (anxiety, depression, social role satisfaction, and physical function) in individuals with chronic physical disabilities. Methods Participants were 1,574 adults with one of four chronic physical disabilities (spinal cord injury, muscular dystrophy, multipl

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Hoffman, Lesa, and Garret J. Hall. "Considering between- and within-person relations in auto-regressive cross-lagged panel models for developmental data." Journal of School Psychology 102 (February 2024): 101258. http://dx.doi.org/10.1016/j.jsp.2023.101258.

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Morinaj, Julia, and Tina Hascher. "School alienation and student well-being: a cross-lagged longitudinal analysis." European Journal of Psychology of Education 34, no. 2 (2018): 273–94. https://doi.org/10.1007/s10212-018-0381-1.

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This is a post-peer-review version of an article published in European Journal of Psychology of Education. The final authenticated version is available online at: https://doi.org/10.1007/s10212-018-0381-1  

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Masselink, M., E. Van Roekel, B. L. Hankin, et al. "The Longitudinal Association between Self–Esteem and Depressive Symptoms in Adolescents: Separating Between–Person Effects from Within–Person Effects." European Journal of Personality 32, no. 6 (2018): 653–71. http://dx.doi.org/10.1002/per.2179.

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Many longitudinal studies have investigated whether self–esteem predicts depressive symptoms (vulnerability model) or the other way around (scar model) in adolescents. The most common method of analysis has been the cross–lagged panel model (CLPM). The CLPM does not separate between–person effects from within–person effects, making it unclear whether the results from previous studies actually reflect the within–person effects or whether they reflect differences between people. We investigated the associations between self–esteem and depressive symptoms at the within–person level, using random

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Cheung, Forrest Tin Wai, Hao Fong Sit, Xiao Li, et al. "A Longitudinal Examination between Chronotype and Insomnia in Youths: A Cross-Lagged Panel Analysis." Clocks & Sleep 6, no. 4 (2024): 557–67. http://dx.doi.org/10.3390/clockssleep6040037.

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Adolescence and young adulthood are transitional periods associated with significant changes and challenges, leading to a heightened vulnerability to sleep disturbances and mental health difficulties. This stage is often associated with an increased preference for eveningness, manifested as a later chronotype. The current study aimed to investigate the directionality of the association between chronotype, based on an individual’s sleep–wake behaviour, and insomnia in young people using a two-wave panel design with a 12-month interval. A total of 370 participants aged 15–24 (mean age: 21.0 ± 2.

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Chong, Yuen Yu, Yim Wah Mak, and Alice Yuen Loke. "The role of parental psychological flexibility in childhood asthma management: An analysis of cross-lagged panel models." Journal of Psychosomatic Research 137 (October 2020): 110208. http://dx.doi.org/10.1016/j.jpsychores.2020.110208.

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Fabio, Anthony, Chung-Yu Chen, Kevin H. Kim, et al. "Hostility Modifies the Association between TV Viewing and Cardiometabolic Risk." Journal of Obesity 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/784594.

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Background. It was hypothesized that television viewing is predictive of cardiometabolic risk. Moreover, people with hostile personality type may be more susceptible to TV-induced negative emotions and harmful health habits which increase occurrence of cardiometabolic risk.Purpose. The prospective association of TV viewing on cardiometabolic risk was examined along with whether hostile personality trait was a modifier.Methods. A total of 3,269 Black and White participants in the coronary artery risk development in young adults (CARDIA) study were assessed from age 23 to age 35. A cross-lagged

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Sadeqi, Farima, and Ryan Best. "PHYSICAL ACTIVITY, PURPOSE, AND COGNITION: TESTING POSSIBLE MEDIATION PATHWAYS WITH CROSS-LAGGED PANEL ANALYSIS." Innovation in Aging 8, Supplement_1 (2024): 1150. https://doi.org/10.1093/geroni/igae098.3687.

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Abstract Numerous studies have emphasized the cognitive benefits older adults experience from engaging in regular physical activity. Previous research has largely highlighted the physiological mechanisms of this relationship, like improvements in cardiovascular health and brain structure, but recent work has begun investigating possible psychological pathways. Prior work from the authors supported the hypothesis that purpose in life acts as a mediator between physical activity and cognitive function, though research suggests a bidirectional relationship between physical activity and purpose in

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Owari, Yutaka, and Nobuyuki Miyatake. "Long-Term Relationship between Psychological Distress and Continuous Sedentary Behavior in Healthy Older Adults: A Three Panel Study." Medicina 55, no. 9 (2019): 555. http://dx.doi.org/10.3390/medicina55090555.

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Background and objectives: Psychological distress (PD) is associated with continuous sedentary behaviors (CSB; based on the ratio of 1.5 metabolic equivalents (METs) sessions or more continuing for over 30 min) in older adults, but the long-term relation is not sufficiently clarified. This study aims to clarify the long-term relationship between PD and the rate of CSB. Materials and Methods: In this secondary analysis, a sample population of 72 healthy elderly people aged 65 years or older participated in a health club of college A from 2016 to 2018. We conducted structural equation modeling (

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Neville, Ross D. "Interpreting Random-Intercept Cross-Lagged Panel Models." JAMA Pediatrics, December 16, 2024. https://doi.org/10.1001/jamapediatrics.2024.5441.

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Fitzpatrick, Caroline, Annie Lemieux, and Gabrielle Garon-Carrier. "Interpreting Random-Intercept Cross-Lagged Panel Models—Reply." JAMA Pediatrics, December 16, 2024. https://doi.org/10.1001/jamapediatrics.2024.5444.

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Mackinnon, Sean, Robin Curtis, and Roisin O'Connor. "Tutorial in Longitudinal Measurement Invariance and Cross-lagged Panel Models Using Lavaan." Meta-Psychology 6 (April 4, 2022). http://dx.doi.org/10.15626/mp.2020.2595.

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In longitudinal studies involving multiple latent variables, researchers often seek to predict how iterations of latent variables measured at early time points predict iterations measured at later time points. Cross-lagged panel modeling, a form of structural equation modeling, is a useful way to conceptualize and test these relationships. However, prior to making causal claims, researchers must first ensure that the measured constructs are equivalent between time points. To do this, they test for measurement invariance, constructing and comparing a series of increasingly strict and parsimonio

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Friehs, Maria-Therese, Chloe Bracegirdle, Nils Karl Reimer, et al. "The Between-Person and Within-Person Effects of Intergroup Contact on Outgroup Attitudes: A Multi-Context Examination." Social Psychological and Personality Science, February 15, 2023, 194855062311530. http://dx.doi.org/10.1177/19485506231153017.

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The extensive literature on the contact hypothesis reports a positive association between intergroup contact and outgroup attitudes, yet it remains unknown whether this association reflects within-person (i.e., situational changes within individuals) or between-person (i.e., stable differences between individuals) effects. To investigate this question, we applied (random-intercept) cross-lagged panel models in two studies featuring different samples, measurements, and contexts. We found longitudinal contact–attitude associations in cross-lagged panel models, which cannot differentiate within-p

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Bado, Patricia, Julia Schafer, Andre R. Simioni, et al. "Screen time and psychopathology: investigating directionality using cross-lagged panel models." European Child & Adolescent Psychiatry, November 11, 2020. http://dx.doi.org/10.1007/s00787-020-01675-5.

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Tseng, Ming-Chi. "Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach." Structural Equation Modeling: A Multidisciplinary Journal, February 22, 2024, 1–9. http://dx.doi.org/10.1080/10705511.2023.2296862.

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Kullberg, Marie‐Louise J., Charlotte C. Van Schie, Andrea G. Allegrini, et al. "Comparing findings from the random‐intercept cross‐lagged panel model and the monozygotic twin difference cross‐lagged panel model: Maladaptive parenting and offspring emotional and behavioural problems." JCPP Advances, October 28, 2023. http://dx.doi.org/10.1002/jcv2.12203.

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AbstractBackgroundIn this study we compare results obtained when applying the monozygotic twin difference cross‐lagged panel model (MZD‐CLPM) and a random intercept cross‐lagged panel model (RI‐CLPM) to the same data. Each of these models is designed to strengthen researchers' ability to draw causal inference from cross‐lagged associations. We explore differences and similarities in how each model does this, and in the results each model produces. Specifically, we examine associations between maladaptive parenting and child emotional and behavioural problems in identical twins aged 9, 12 and 1

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Zainal, Nur Hani, and Michelle G. Newman. "Depression and executive functioning bidirectionally impair one another across 9 years: Evidence from within-person latent change and cross-lagged models." European Psychiatry 64, no. 1 (2021). http://dx.doi.org/10.1192/j.eurpsy.2021.2217.

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Abstract Background Scar and vulnerability models assert that increased psychopathology may predict subsequent executive functioning (EF) deficits (and vice versa) over protracted timescales, yet most prior work on this topic has been cross-sectional. Thus, we tested the within- and between-person relations between EF, depression, and anxiety. Methods Older adult participants (n = 856) were assessed across four waves, approximately 2 years apart. Performance-based EF and caregiver-rated symptom measures were administered. Bivariate latent change score and random-intercept cross-lagged panel mo

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Thornberg, Robert, Björn Sjögren, Gianluca Gini, and Tiziana Pozzoli. "Testing the reciprocal longitudinal association between pro-aggressive bystander behavior and diffusion of responsibility in Swedish upper elementary school students." Social Psychology of Education, August 21, 2023. http://dx.doi.org/10.1007/s11218-023-09839-2.

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AbstractThe overall objective of this study was to investigate the longitudinal association between diffusion of responsibility and pro-aggressive bystander behavior across three time points in upper elementary education. This three-wave longitudinal study included 1905 Swedish students who completed a questionnaire in at least one of the three waves: the fourth (Mage = 10.56), fifth (Mage = 11.55), and/or sixth grades (Mage = 12.58). Both traditional and random intercept cross-lagged panel models revealed a reciprocal relationship between pro-aggressive bystanding and diffusion of responsibil

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Eryılmaz, Ali, and Ahmet Kara. "Reciprocal relations between self-esteem, class engagement, and career calling: evidence from a two‐wave longitudinal study." International Journal for Educational and Vocational Guidance, May 2, 2025. https://doi.org/10.1007/s10775-025-09738-2.

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Abstract This study aims to longitudinally investigate the relationships between self-esteem, class engagement, and career calling. A total of 161 university students were included in the final sample. Data were obtained using the Two-Dimensional Self-Esteem Scale, General Class Engagement Scale, and Career Calling Scale. The cross-lagged panel model revealed the paths (for indirect effects models and autoregressive) between self-esteem, class engagement, and career calling. The cross-lagged panel model demonstrated an acceptable fit with the data. The cross-lagged effect of self-esteem at tim

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Mulder, Jeroen D., Satoshi Usami, and Ellen L. Hamaker. "Joint Effects in Cross-Lagged Panel Research Using Structural Nested Mean Models." Structural Equation Modeling: A Multidisciplinary Journal, June 17, 2024, 1–17. http://dx.doi.org/10.1080/10705511.2024.2355579.

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Shamsollahi, Ali, Michael J. Zyphur, and Ozlem Ozkok. "Long-Run Effects in Dynamic Systems: New Tools for Cross-Lagged Panel Models." Organizational Research Methods, March 19, 2021, 109442812199322. http://dx.doi.org/10.1177/1094428121993228.

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Cross-lagged panel models (CLPMs) are common, but their applications often focus on “short-run” effects among temporally proximal observations. This addresses questions about how dynamic systems may immediately respond to interventions, but fails to show how systems evolve over longer timeframes. We explore three types of “long-run” effects in dynamic systems that extend recent work on “impulse responses,” which reflect potential long-run effects of one-time interventions. Going beyond these, we first treat evaluations of system (in)stability by testing for “permanent effects,” which are impor

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Singh, Madhurbain, Brad Verhulst, Philip Vinh, et al. "Using Instrumental Variables to Measure Causation over Time in Cross-Lagged Panel Models." Multivariate Behavioral Research, February 15, 2024, 1–29. http://dx.doi.org/10.1080/00273171.2023.2283634.

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Wirtz, Markus A., Janine Devine, Michael Erhart, et al. "Reciprocal impact of mental health and quality of life in children and adolescents—a cross-lagged panel analysis." Frontiers in Psychology 16 (March 26, 2025). https://doi.org/10.3389/fpsyg.2025.1444524.

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IntroductionA thorough understanding of the interplay of mental health (MH) and quality of life (QoL) is essential to describe, understand and support the healthy development of children and adolescents. The aim of the study is to analyze the reciprocal and predictive relationship between psychosomatic symptoms, MH problems and QoL in children and adolescents during the COVID-19 pandemic using a cross-lagged panel analysis.MethodsData of n = 323 children and n = 421 adolescents were collected at five measurement points from spring 2020 to autumn 2022 within the population-based longitudinal Ge

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Mund, Marcus, Yoobin Park, and Steffen Nestler. "Disentangling between‐ and within‐person variation in relationship science." Journal of Marriage and Family, May 6, 2024. http://dx.doi.org/10.1111/jomf.12999.

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AbstractObjectiveThis article provides an overview of the Cross‐Lagged Panel Model (CLPM), Random‐Intercept Cross‐Lagged Panel Model (RI‐CLPM), and Latent Curve Model with Structured Residuals (LCM‐SR), highlighting the major issues of the CLPM for relationship science, and discusses dyadic extensions of those three models.BackgroundUnderstanding interdependencies among people and constructs is a central interest in relationship science. Addressing such research questions requires complex designs ideally using data collected at multiple measurement occasions of multiple constructs from at leas

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Zyphur, Michael J., Ellen L. Hamaker, Louis Tay, et al. "From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM)." Frontiers in Psychology 12 (February 15, 2021). http://dx.doi.org/10.3389/fpsyg.2021.612251.

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This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities (i.e., priors) in addition to observed data. Drawing on econometrics and other literatures we illustrate the use of informative “shrinkage” or “small variance” priors (including so-called “Minnesota priors”) while extending prior work on the general cross-lagged panel model (GCLM). Using a panel dataset of national income and subjective well-being (SWB) we describe three key benefits of these priors. First, they shrink parameter estimates

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Vargas Salfate, Salvador, Sammyh S. Khan, James H. Liu, and Homero Gil de Zúñiga. "A Longitudinal Test of the Conservative-Liberal Well-Being Gap." Personality and Social Psychology Bulletin, July 7, 2022, 014616722210965. http://dx.doi.org/10.1177/01461672221096587.

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In this article, we test if conservatism predicts psychological well-being longitudinally. We based the study on previous findings showing that conservatives score higher on different measures of well-being, such as life satisfaction and happiness. Most explanations in the literature have assumed that conservatism antecedes well-being without considering the alternative—that well-being may predict conservatism. In Study 1, using multilevel cross-lagged panel models with a two-wave longitudinal sample consisting of data from 19 countries ( N = 8,740), we found that conservatism did not predict

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Albath, Elianne A., Rainer Greifeneder, Karen M. Douglas, et al. "Does Lower Psychological Need Satisfaction Foster Conspiracy Belief? Longitudinal Effects Over 3 Years in New Zealand." Personality and Social Psychology Bulletin, December 13, 2024. https://doi.org/10.1177/01461672241292841.

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Although conspiracy belief may arise from a frustration of psychological needs, research has yet to investigate these relationships over time. Using four annual waves of longitudinal panel data in New Zealand (2019–2022; N = 55,269), we examined the relationship between four psychological needs (namely belonging, control, meaning in life, and self-esteem) and conspiracy belief. Results from four random-intercept cross-lagged panel models reveal stable between-person effects indicating that those whose core needs are less satisfied tend to exhibit higher levels of conspiracy belief across time.

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