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Andrea Hasl; Manuel Voelkle; Charles Driver; Julia Kretschmann; Martin Brunner – Structural Equation Modeling: A Multidisciplinary Journal, 2024
To examine developmental processes, intervention effects, or both, longitudinal studies often aim to include measurement intervals that are equally spaced for all participants. In reality, however, this goal is hardly ever met. Although different approaches have been proposed to deal with this issue, few studies have investigated the potential…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Student Promotion
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
Zhang, Dongbo; Koda, Keiko; Leong, Che Kan – Reading and Writing: An Interdisciplinary Journal, 2016
This longitudinal study examined the contribution of morphological awareness to bilingual word learning of Malay-English bilingual children in Singapore where English is the medium of instruction. Participants took morphological awareness and lexical inference tasks in both English and Malay twice with an interval of about half a year, the first…
Descriptors: Foreign Countries, Morphology (Languages), Bilingual Education, Bilingualism
Voelkle, Manuel C.; Oud, Johan H. L.; Davidov, Eldad; Schmidt, Peter – Psychological Methods, 2012
Panel studies, in which the same subjects are repeatedly observed at multiple time points, are among the most popular longitudinal designs in psychology. Meanwhile, there exists a wide range of different methods to analyze such data, with autoregressive and cross-lagged models being 2 of the most well known representatives. Unfortunately, in these…
Descriptors: Authoritarianism, Intervals, Structural Equation Models, Correlation
Overbeek, Geertjan; Zeevalkink, Herma; Vermulst, Ad; Scholte, Ron H. J. – Social Development, 2010
This study examined bidirectional, longitudinal associations between peer victimisation and self-esteem in adolescents, and tested for moderator effects of undercontrolling, overcontrolling, and ego-resilient personality types in these associations. Data were used from 774 adolescents ages 11-16 years who participated in a three-wave (i.e., 2005,…
Descriptors: Intervals, Self Concept, Peer Relationship, Personality Traits
Reichardt, Charles S. – Multivariate Behavioral Research, 2011
Maxwell, Cole, and Mitchell (2011) demonstrated that simple structural equation models, when used with cross-sectional data, generally produce biased estimates of meditated effects. I extend those results by showing how simple structural equation models can produce biased estimates of meditated effects when used even with longitudinal data. Even…
Descriptors: Structural Equation Models, Statistical Data, Longitudinal Studies, Error of Measurement
Brody, Gene H.; Chen, Yi-Fu; Kogan, Steven M.; Murry, Velma McBride; Logan, Patricia; Luo, Zupei – Journal of Marriage and Family, 2008
This longitudinal study was designed to test hypotheses, derived from a stress proliferation framework, regarding the association between perceived racial discrimination and changes in parenting among African American mothers in the rural South. A sample of 139 mothers and their children were interviewed 3 times at 1-year intervals. Mothers…
Descriptors: Intervals, Mothers, Structural Equation Models, Racial Discrimination
Hoekstra, Rosa A.; Bartels, Meike; Boomsma, Dorret I. – Learning and Individual Differences, 2007
In a longitudinal genetic study we explored which factors underlie stability in verbal and nonverbal abilities, and the extent to which the association between these abilities becomes stronger as children grow older. Measures of verbal and nonverbal IQ were collected in Dutch twin pairs at age 5, 7, 10, 12 and 18 years. The stability of both…
Descriptors: Twins, Intervals, Structural Equation Models, Intelligence Quotient
Klein, Andreas G.; Muthen, Bengt O. – Journal of Educational and Behavioral Statistics, 2006
In this article, a heterogeneous latent growth curve model for modeling heterogeneity of growth rates is proposed. The suggested model is an extension of a conventional growth curve model and a complementary tool to mixed growth modeling. It allows the modeling of heterogeneity of growth rates as a continuous function of latent initial status and…
Descriptors: Intervals, Computation, Structural Equation Models, Mathematics Achievement