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Math Attitudes, Engagement, and Performance of High School Students on High and Low-Stakes Tests of Statistics Knowledge

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Title: Math Attitudes, Engagement, and Performance of High School Students on High and Low-Stakes Tests of Statistics Knowledge
Language: English
Authors: Teresa M. Ober (ORCID 0000-0001-9698-9543), Alex S. Brodersen, Daniella Rebouças-Ju, Maxwell R. Hong, Matthew F. Carter, Cheng Liu, Ying Cheng
Source: Grantee Submission. 2022.
Peer Reviewed: Y
Page Count: 49
Publication Date: 2022
Sponsoring Agency: National Science Foundation (NSF), Division of Research on Learning in Formal and Informal Settings (DRL)
Contract Number: 1350787
Document Type: Reports - Research
Education Level: High Schools
Secondary Education
Descriptors: High School Students, Student Attitudes, Mathematics, Statistics Education, Advanced Placement Programs, Learner Engagement, Mathematics Tests, High Stakes Tests, Time Management, Self Efficacy, Scores, Affective Behavior
DOI: 10.1007/s41979-022-00076-4
Abstract: Understanding the extent engagement and math attitudes predict performance in statistics courses could inform educational interventions in this subject area, which has growing demand. We examined direct and indirect associations between course engagement-related constructs, math attitudes, and learning outcomes. Confirmatory factor analysis was used to validate scores from measures of these constructs with a sample of high school students enrolled in Advanced Placement (AP) Statistics (N = 720, Mean age = 16.8 years, SD = 0.82). Structural equation models were fitted to the data to examine relations between these constructs on a subsample (N = 220). A greater proportion of variation was explained in a high-stakes learning outcome (R[superscript 2] = 0.54) than a low-stakes learning outcome (R[superscript 2] = 0.24). We found some evidence of indirect effects of academic procrastination and course engagement on the learning outcome by way of math attitudes. The findings shed light on opportunities for intervention on academic maladaptive behaviors, such as procrastination, which could lessen negative effects on math attitudes and learning. These findings highlight the importance of testing stakes when examining associations between engagement, math attitudes, and learning, particularly in the context of high school statistics, a growing and yet understudied STEM learning context. [This paper was published in "Journal for STEM Education Research."]
Abstractor: As Provided
Notes: http://doi.org/10.17605/osf.io/cas3p
Entry Date: 2024
Accession Number: ED642228
Database: ERIC
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  Data: Math Attitudes, Engagement, and Performance of High School Students on High and Low-Stakes Tests of Statistics Knowledge
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  Data: <searchLink fieldCode="AR" term="%22Teresa+M%2E+Ober%22">Teresa M. Ober</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9698-9543">0000-0001-9698-9543</externalLink>)<br /><searchLink fieldCode="AR" term="%22Alex+S%2E+Brodersen%22">Alex S. Brodersen</searchLink><br /><searchLink fieldCode="AR" term="%22Daniella+Rebouças-Ju%22">Daniella Rebouças-Ju</searchLink><br /><searchLink fieldCode="AR" term="%22Maxwell+R%2E+Hong%22">Maxwell R. Hong</searchLink><br /><searchLink fieldCode="AR" term="%22Matthew+F%2E+Carter%22">Matthew F. Carter</searchLink><br /><searchLink fieldCode="AR" term="%22Cheng+Liu%22">Cheng Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Ying+Cheng%22">Ying Cheng</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Grantee+Submission%22"><i>Grantee Submission</i></searchLink>. 2022.
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  Data: 49
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  Data: 10.1007/s41979-022-00076-4
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  Data: Understanding the extent engagement and math attitudes predict performance in statistics courses could inform educational interventions in this subject area, which has growing demand. We examined direct and indirect associations between course engagement-related constructs, math attitudes, and learning outcomes. Confirmatory factor analysis was used to validate scores from measures of these constructs with a sample of high school students enrolled in Advanced Placement (AP) Statistics (N = 720, Mean age = 16.8 years, SD = 0.82). Structural equation models were fitted to the data to examine relations between these constructs on a subsample (N = 220). A greater proportion of variation was explained in a high-stakes learning outcome (R[superscript 2] = 0.54) than a low-stakes learning outcome (R[superscript 2] = 0.24). We found some evidence of indirect effects of academic procrastination and course engagement on the learning outcome by way of math attitudes. The findings shed light on opportunities for intervention on academic maladaptive behaviors, such as procrastination, which could lessen negative effects on math attitudes and learning. These findings highlight the importance of testing stakes when examining associations between engagement, math attitudes, and learning, particularly in the context of high school statistics, a growing and yet understudied STEM learning context. [This paper was published in "Journal for STEM Education Research."]
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  Data: 2024
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        Value: 10.1007/s41979-022-00076-4
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      – Text: English
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        PageCount: 49
    Subjects:
      – SubjectFull: High School Students
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Mathematics
        Type: general
      – SubjectFull: Statistics Education
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      – SubjectFull: Advanced Placement Programs
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      – SubjectFull: Learner Engagement
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      – SubjectFull: Mathematics Tests
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      – SubjectFull: High Stakes Tests
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      – SubjectFull: Time Management
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      – SubjectFull: Self Efficacy
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      – SubjectFull: Affective Behavior
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      – TitleFull: Math Attitudes, Engagement, and Performance of High School Students on High and Low-Stakes Tests of Statistics Knowledge
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