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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
Burt, Keith B.; Obradovic, Jelena – Developmental Review, 2013
The purpose of this paper is to review major statistical and psychometric issues impacting the study of psychophysiological reactivity and discuss their implications for applied developmental researchers. We first cover traditional approaches such as the observed difference score (DS) and the observed residual score (RS), including a review of…
Descriptors: Measurement Techniques, Psychometrics, Data Analysis, Researchers
Mintz, Tamar M.; Hamre, Bridget K.; Hatfield, Bridget E. – Early Education and Development, 2011
Research Findings: This study examined the extent to which maternal sensitivity in infancy and toddlerhood is associated with children's social and relational competence and problems in the early years of schooling as well as the extent to which this association is mediated by children's effortful control abilities. Data from 1,364 children (705…
Descriptors: Video Technology, Structural Equation Models, Child Health, Parent Child Relationship
Liu, Xun – Communication Education, 2010
This study extended the technology acceptance model and empirically tested the new model with wikis, a new type of educational technology. Based on social cognitive theory and the theory of planned behavior, three new variables, wiki self-efficacy, online posting anxiety, and perceived behavioral control, were added to the original technology…
Descriptors: Research, Experiments, Data Collection, Observation
Hoshino, Takahiro – Psychometrika, 2007
Due to the difficulty in achieving a random assignment, a quasi-experimental or observational study design is frequently used in the behavioral and social sciences. If a nonrandom assignment depends on the covariates, multiple group structural equation modeling, that includes the regression function of the dependent variables on the covariates…
Descriptors: Structural Equation Models, Simulation, Observation, Behavioral Science Research
Curran, Patrick J. – Multivariate Behavioral Research, 2003
A core assumption of the standard multiple regression model is independence of residuals, the violation of which results in biased standard errors and test statistics. The structural equation model (SEM) generalizes the regression model in several key ways, but the SEM also assumes independence of residuals. The multilevel model (MLM) was…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Observation, Mathematical Models
Holland, Paul W. – 1988
D. B. Rubin's model for causal inference in experiments and observational studies is enlarged to analyze the problem of "causes causing causes" and is compared to path analysis and recursive structural equations models. A special quasiexperimental design, the encouragement design, is used to give concreteness to the discussion by…
Descriptors: Causal Models, Observation, Path Analysis, Quasiexperimental Design
Lunkenheimer, Erika S.; Dishion, Thomas J.; Shaw, Daniel S.; Connell, Arin M.; Gardner, Frances; Wilson, Melvin N.; Skuban, Emily M. – Developmental Psychology, 2008
The authors examined the longitudinal effects of the Family Check-Up (FCU) on parents' positive behavior support and children's school readiness competencies in early childhood. It was hypothesized that the FCU would promote language skills and inhibitory control in children at risk for behavior problems as an indirect outcome associated with…
Descriptors: Behavior Problems, School Readiness, Intervention, Structural Equation Models

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