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Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2025
This study aims to estimate the latent interaction effect in the CLPM model through a two-step multiple imputation analysis. The estimation of within x within and between x within latent interaction under the CLPM model framework is compared between the one-step Bayesian LMS method and the two-step multiple imputation analysis through a simulation…
Descriptors: Guidelines, Bayesian Statistics, Self Esteem, Depression (Psychology)
Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study simplifies the seven different cross-lagged panel models (CLPMs) by using the RSEM model for both inter-individual and intra-individual structures. In addition, the study incorporates the newly developed dynamic panel model (DPM), general cross-lagged model (GCLM) and the random intercept auto-regressive moving average (RI-ARMA) model.…
Descriptors: Evaluation Methods, Structural Equation Models, Maximum Likelihood Statistics, Longitudinal Studies
Yuan Fang; Lijuan Wang – Grantee Submission, 2024
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…
Descriptors: Structural Equation Models, Research Problems, Longitudinal Studies, Simulation
Yuan Fang; Lijuan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…
Descriptors: Structural Equation Models, Bayesian Statistics, Monte Carlo Methods, Longitudinal Studies
Xiaying Zheng; Ji Seung Yang; Jeffrey R. Harring – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Measuring change in an educational or psychological construct over time is often achieved by repeatedly administering the same items to the same examinees over time and fitting a second-order latent growth curve model. However, latent growth modeling with full information maximum likelihood (FIML) estimation becomes computationally challenging…
Descriptors: Longitudinal Studies, Data Analysis, Item Response Theory, Structural Equation Models
Clark, D. Angus; Nuttall, Amy K.; Bowles, Ryan P. – International Journal of Behavioral Development, 2021
Hybrid autoregressive-latent growth structural equation models for longitudinal data represent a synthesis of the autoregressive and latent growth modeling frameworks. Although these models are conceptually powerful, in practice they may struggle to separate autoregressive and growth-related processes during estimation. This confounding of change…
Descriptors: Structural Equation Models, Longitudinal Studies, Risk, Accuracy
Rachel A. Gross – ProQuest LLC, 2020
The present study was motivated by the theory-method mismatch between heterotypic continuity (aspects of development that manifest differently across the lifespan thus cannot be measured the same way over time) and longitudinal measurement equivalence (the statistical assumption that the developmental phenomenon studied is measured on the same…
Descriptors: Robustness (Statistics), Structural Equation Models, Longitudinal Studies, Error of Measurement
Niehaus, Kate; Adelson, Jill L.; Sejuit, Aubrey; Zheng, Jiali – Applied Developmental Science, 2017
This study examined the extent to which socioemotional well-being mediated the relationship between language status and achievement, while exploring variability in this relationship based on informant (student versus teacher reports of socioemotional problems) and native language background (Spanish-speaking English language learners [ELLs] versus…
Descriptors: Native Language, Academic Achievement, Well Being, Children
Cvetkovski, Stefan; Jorm, Anthony F.; Mackinnon, Andrew J. – Higher Education Research and Development, 2018
Studies of psychological distress (PD) in university students have shown that they have high prevalence rates. These findings have raised concerns that PD may be leading to poorer student outcomes, such as elevated dropout rates. The aim of this study was to examine the association of PD in undergraduate university students with the competing…
Descriptors: Stress Variables, Foreign Countries, Undergraduate Students, National Surveys
Kopystynska, Olena; Spinrad, Tracy L.; Seay, Danielle M.; Eisenberg, Nancy – Developmental Psychology, 2016
The goal of this work was to examine the complex interrelation of mothers' early gentle control and sensitivity in predicting children's effortful control (EC) and academic functioning. Maternal gentle control, maternal sensitivity, and children's EC were measured when children were 18, 30, and 42 months of age (T1, T2, and T3, respectively), and…
Descriptors: Mothers, Child Rearing, Self Control, Young Children
Murphy, Marina – ProQuest LLC, 2017
Social skills and academic competence are key factors influencing children's development and functioning across early childhood and through adolescence. There is a great need to understand the longitudinal patterns of growth in social and academic skills in order to further inform intervention, particularly for at-risk groups such as individuals…
Descriptors: Interpersonal Competence, Disabilities, Children, Comparative Analysis
Adolescents' Religiousness and Substance Use Are Linked via Afterlife Beliefs and Future Orientation
Holmes, Christopher; Kim-Spoon, Jungmeen – Journal of Early Adolescence, 2017
Although religiousness has been identified as a protective factor against adolescent substance use, processes through which these effects may operate are unclear. The current longitudinal study examined sequential mediation of afterlife beliefs and future orientation in the relation between adolescent religiousness and cigarette, alcohol, and…
Descriptors: Religion, Beliefs, Role, Correlation
Sander, Julia; Schupp, Jürgen; Richter, David – Developmental Psychology, 2017
Frequent social interactions are strongly linked to positive affect, longevity, and good health. Although there has been extensive research on changes in the size of social networks over time, little attention has been given to the development of contact frequency across the life span. In this cohort-sequential longitudinal study, we examined…
Descriptors: Interpersonal Relationship, Foreign Countries, Longitudinal Studies, Bayesian Statistics
Bettini, Elizabeth; Park, Yujeong; Benedict, Amber; Kimerling, Jenna; Leite, Walter – Exceptionality, 2016
This investigation examined relationships among special education teachers' working conditions (e.g., classroom characteristics, administrative support), personal characteristics (e.g., experience, certification status, self-efficacy), instructional quality, and students with disabilities' reading achievement and behavioral outcomes. Data from the…
Descriptors: Special Education Teachers, Teacher Effectiveness, Teaching Conditions, Teacher Characteristics
Raj, Rahul; Srivastava, Kailash B. L. – Learning Organization, 2016
Purpose: This paper has three purposes--first, to establish the direction of relationship between market orientation (MO) and organizational learning (OL); second, to assess the effect of MO and OL on organizational innovativeness (OI); and third, to examine the mediating role of OL on the relationship between MO and innovativeness.…
Descriptors: Organizational Culture, Learning, Marketing, Innovation

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