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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
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Gullo, Dominic F.; Miller, Michel – European Early Childhood Education Research Journal, 2018
Factors that affect children's school readiness potential are evident from birth. Structural equation modeling was used to test the hypotheses that certain factors related to family risk conditions, the quality of prenatal care, maternal health during pregnancy, and the health status of the child at birth mediate children's readiness for school.…
Descriptors: Structural Equation Models, School Readiness, Longitudinal Studies, Surveys
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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
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Waters, Stacey; Cross, Donna – School Psychology Quarterly, 2010
Connectedness to school, teachers, and family are all significant protective factors in adolescents' lives, yet the measurement of each varies considerably. This article describes the measurement properties of three composite scales of adolescent connectedness, adapted from the Add Health study and the California Healthy Kids Survey. These…
Descriptors: Adolescents, Item Response Theory, Student School Relationship, Validity
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Flora, David B.; Curran, Patrick J.; Hussong, Andrea M.; Edwards, Michael C. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
A large literature emphasizes the importance of testing for measurement equivalence in scales that may be used as observed variables in structural equation modeling applications. When the same construct is measured across more than one developmental period, as in a longitudinal study, it can be especially critical to establish measurement…
Descriptors: Structural Equation Models, Item Response Theory, Measurement, Scores
Shin, Tacksoo – Asia Pacific Education Review, 2007
This study introduces three growth modeling techniques: latent growth modeling (LGM), hierarchical linear modeling (HLM), and longitudinal profile analysis via multidimensional scaling (LPAMS). It compares the multilevel growth parameter estimates and potential predictor effects obtained using LGM, HLM, and LPAMS. The purpose of this multilevel…
Descriptors: Multidimensional Scaling, Academic Achievement, Structural Equation Models, Causal Models
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von Davier, Alina A.; Carstensen, Claus H.; von Davier, Matthias – ETS Research Report Series, 2006
Measuring and linking competencies require special instruments, special data collection designs, and special statistical models. The measurement instruments are tests or tests forms, which can be used in the following situations: The same test can be given repeatedly; two or more parallel tests forms (i.e., forms intended to be similar in…
Descriptors: Scores, Measurement Techniques, Competence, Comparative Analysis