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An Examination of the Relationship between Computation, Problem Solving, and Reading
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Cormier, Damien C.; Yeo, Seungsoo; Christ, Theodore J.; Offrey, Laura D.; Pratt, Katherine – Exceptionality, 2016
The purpose of this study is to evaluate the relationship of mathematics calculation rate (curriculum-based measurement of mathematics; CBM-M), reading rate (curriculum-based measurement of reading; CBM-R), and mathematics application and problem solving skills (mathematics screener) among students at four levels of proficiency on a statewide…
Descriptors: Computation, Problem Solving, Grade 3, Elementary School Students
Latent Curve Models and Latent Change Score Models Estimated in R
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Ghisletta, Paolo; McArdle, John J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like the the latent change score model (LCSM), have also increased in popularity. At the same time, the R…
Descriptors: Statistical Analysis, Structural Equation Models, Computation, Computer Software
Sensitivity of Fit Indices to Misspecification in Growth Curve Models
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Wu, Wei; West, Stephen G. – Multivariate Behavioral Research, 2010
This study investigated the sensitivity of fit indices to model misspecification in within-individual covariance structure, between-individual covariance structure, and marginal mean structure in growth curve models. Five commonly used fit indices were examined, including the likelihood ratio test statistic, root mean square error of…
Descriptors: Goodness of Fit, Computation, Statistical Analysis, Structural Equation Models
An Evaluation of Latent Growth Models for Propensity Score Matched Groups
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Leite, Walter L.; Sandbach, Robert; Jin, Rong; MacInnes, Jann W.; Jackman, M. Grace-Anne – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Because random assignment is not possible in observational studies, estimates of treatment effects might be biased due to selection on observable and unobservable variables. To strengthen causal inference in longitudinal observational studies of multiple treatments, we present 4 latent growth models for propensity score matched groups, and…
Descriptors: Structural Equation Models, Probability, Computation, Observation
Math Anxiety and Math Ability in Early Primary School Years
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Krinzinger, Helga; Kaufmann, Liane; Willmes, Klaus – Journal of Psychoeducational Assessment, 2009
Mathematical learning disabilities (MLDs) are often associated with math anxiety, yet until now, very little is known about the causal relations between calculation ability and math anxiety during early primary school years. The main aim of this study was to longitudinally investigate the relationship between calculation ability, self-reported…
Descriptors: Structural Equation Models, Learning Disabilities, Computation, Grade 3
Dynamic Assessment of Algebraic Learning in Predicting Third Graders' Development of Mathematical Problem Solving
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Fuchs, Lynn S.; Compton, Donald L.; Fuchs, Douglas; Hollenbeck, Kurstin N.; Craddock, Caitlin F.; Hamlett, Carol L. – Journal of Educational Psychology, 2008
Dynamic assessment (DA) involves helping students learn a task and indexing responsiveness to that instruction as a measure of learning potential. The purpose of this study was to explore the utility of a DA of algebraic learning in predicting third graders' development of mathematics problem solving. In the fall, 122 third-grade students were…
Descriptors: Structural Equation Models, Evaluation Methods, Problem Solving, Word Problems (Mathematics)