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Full-Text Articles in Social and Behavioral Sciences
Examining The Factor Structure Of The Home Mathematics Environment To Delineate Its Role In Predicting Preschool Numeracy, Mathematical Language, And Spatial Skills, David J. Purpura, Yemimah A. King, Emily Rolan, Caroline Byrd Hornburg, Sara A. Schmitt, Sara A. Hart, Colleen M. Ganley
Examining The Factor Structure Of The Home Mathematics Environment To Delineate Its Role In Predicting Preschool Numeracy, Mathematical Language, And Spatial Skills, David J. Purpura, Yemimah A. King, Emily Rolan, Caroline Byrd Hornburg, Sara A. Schmitt, Sara A. Hart, Colleen M. Ganley
Purdue University Libraries Open Access Publishing Fund
A growing body of evidence suggests that the ways in which parents and preschool children interact in terms of home-based mathematics activities (i.e., the home mathematics environment; HME) is related to children’s mathematics development (e.g., primarily numeracy skills and spatial skills); however, this body of evidence is mixed with some research supporting the relation and others finding null effects. Importantly, few studies have explicitly examined the factor structure of the HME and contrasted multiple hypothesized models. To develop more precise models of how the HME supports children’s mathematics development, the structure of the HME needs to be examined and linked …
The Quandary Of Covarying: A Brief Review And Empirical Examination Of Covariate Use In Structural Neuroimaging Studies On Psychological Variables, Courtland Hyatt, Max M. Owens, Michael L. Crowe, Donald R. Lynam, Joshua D. Miller
The Quandary Of Covarying: A Brief Review And Empirical Examination Of Covariate Use In Structural Neuroimaging Studies On Psychological Variables, Courtland Hyatt, Max M. Owens, Michael L. Crowe, Donald R. Lynam, Joshua D. Miller
Department of Psychological Sciences Faculty Publications
Although covarying for potential confounds or nuisance variables is common in psychological research, relatively little is known about how the inclusion of covariates may influence the relations between psychological variables and indices of brain structure. In Part 1 of the current study, we conducted a descriptive review of relevant articles from the past two years of NeuroImage in order to identify the most commonly used covariates in work of this nature. Age, sex, and intracranial volume were found to be the most commonly used covariates, although the number of covariates used ranged from 0 to 14, with 37 different covariate …