Executive Functions and Self-Regulated Learning as Predictors of Math Achievement: A Path Analytic Framework

dc.contributor.advisorCirino, Paul T.
dc.contributor.committeeMemberAlfano, Candice A.
dc.contributor.committeeMemberTaylor, Patricia
dc.creatorHuston-Warren, Emily A.
dc.date.accessioned2016-09-04T22:26:19Z
dc.date.available2016-09-04T22:26:19Z
dc.date.createdMay 2016
dc.date.issued2016-05
dc.date.updated2016-09-04T22:26:19Z
dc.description.abstractDespite considerable evidence for the hierarchical nature of math learning and the influence of executive functions in early math development, few studies have investigated the role of executive functions and related skills (i.e. self-regulated learning skills) in later elementary years. The goal of the present study was to comprehensively evaluate the role of executive functions and self-regulated learning skills as predictors of mathematical outcomes, proposing ways in which these predictive relationships may differ across elementary grades 3 through 5. Directly examining the hierarchy of math learning, this study utilized a path analytic framework to assess the likely mediating role of early math skill mastery (e.g. fact fluency) and the hypothesized moderating effect of grade. Both direct and indirect effects were assessed in a large and diverse sample of students (N = 846) in third grade (N = 186), fourth grade (N = 484), and fifth grade (N = 176). While the moderating effect of grade was not significant, the final model showed good fit (χ2 = 313.48, df = 256; CFI = 0.97; RMSEA = 0.028, 90% CI = 0.015 to 0.038; SRMR = 0.074) and demonstrated predictive power for several considered variables. Additionally, a strong mediating role of math fact fluency was observed. The results underscore the robust influence of executive functions and metacognition on math outcomes across grade level, thus supporting efforts to integrate findings across bodies of literature.
dc.description.departmentPsychology, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/1514
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectMathematics achievement
dc.subjectExecutive functions
dc.subjectSelf-regulated learning
dc.subjectPath analysis
dc.titleExecutive Functions and Self-Regulated Learning as Predictors of Math Achievement: A Path Analytic Framework
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCollege of Liberal Arts and Social Sciences
thesis.degree.departmentPsychology, Department of
thesis.degree.disciplinePsychology, Clinical
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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