소장자료
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005 | 20240318105159▲ | ||
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020 | ▼a9798379950828▲ | ||
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082 | 0 | ▼a370▲ | |
100 | 1 | ▼aLesner, Taylor A.▲ | |
245 | 1 | 0 | ▼aExamining Patterns and Predictors of Response to Mathematics Intervention▼h[electronic resource]▲ |
260 | ▼a[S.l.]: ▼bUniversity of Oregon. ▼c2023▲ | ||
260 | 1 | ▼aAnn Arbor : ▼bProQuest Dissertations & Theses, ▼c2023▲ | |
300 | ▼a1 online resource(86 p.)▲ | ||
500 | ▼aSource: Dissertations Abstracts International, Volume: 85-01, Section: A.▲ | ||
500 | ▼aAdvisor: Clarke, Ben.▲ | ||
502 | 1 | ▼aThesis (Ph.D.)--University of Oregon, 2023.▲ | |
506 | ▼aThis item must not be sold to any third party vendors.▲ | ||
520 | ▼aConcerns about low mathematics achievement have created a push to increase national mathematics proficiency levels through research and policy. Efforts have largely focused on early mathematics interventions for students with or at risk for mathematics learning difficulties implemented within multi-tiered response to intervention (RTI) frameworks. Within these models, important educational decisions are based upon instructional response, making meaningful categorization of student responsiveness to intervention paramount. Across research and practice, intervention outcomes are typically thought of as a binary, with students considered either responsive or non-responsive to intervention. However, defining and categorizing responsiveness in more complex ways may reveal important differences between subgroups of students who exhibit distinct patterns of responsiveness over time.The present study explored patterns of response to an early mathematics intervention using data from the ROOTS Efficacy Project. Participants included kindergarten students at risk for mathematics difficulties who were randomly assigned to the ROOTS intervention condition (n = 880). Results of a latent profile analysis indicated that variability in response to a generally effective intervention was best captured by a more complex categorization framework encompassing four distinct response profiles: a moderate-risk, mildly responsive group; a moderate-risk, delayed response group, a high-risk, strongly responsive group; and a lower-risk, non-responsive group. Membership in each response profile group was predicted by pre-intervention performance on measures of both early mathematics and cognitive skills (visual-spatial, fluid reasoning, and working memory). On average, students with lower initial math skill and cognitive performance demonstrated stronger intervention response. Implications for future research and practice are discussed.▲ | ||
590 | ▼aSchool code: 0171.▲ | ||
650 | 4 | ▼aEducational psychology.▲ | |
650 | 4 | ▼aMathematics education.▲ | |
653 | ▼aEarly intervention▲ | ||
653 | ▼aLearning disabilities▲ | ||
653 | ▼aMathematics difficulties▲ | ||
653 | ▼aMathematics intervention▲ | ||
653 | ▼aSystems of support▲ | ||
653 | ▼aResponse to intervention▲ | ||
690 | ▼a0525▲ | ||
690 | ▼a0280▲ | ||
710 | 2 | 0 | ▼aUniversity of Oregon.▼bDepartment of Special Education and Clinical Sciences.▲ |
773 | 0 | ▼tDissertations Abstracts International▼g85-01A.▲ | |
773 | ▼tDissertation Abstract International▲ | ||
790 | ▼a0171▲ | ||
791 | ▼aPh.D.▲ | ||
792 | ▼a2023▲ | ||
793 | ▼aEnglish▲ | ||
856 | 4 | 0 | ▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931120▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.▲ |

Examining Patterns and Predictors of Response to Mathematics Intervention[electronic resource]
자료유형
국외eBook
서명/책임사항
Examining Patterns and Predictors of Response to Mathematics Intervention [electronic resource]
발행사항
[S.l.] : University of Oregon. 2023 Ann Arbor : ProQuest Dissertations & Theses , 2023
형태사항
1 online resource(86 p.)
일반주기
Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
Advisor: Clarke, Ben.
Advisor: Clarke, Ben.
학위논문주기
Thesis (Ph.D.)--University of Oregon, 2023.
요약주기
Concerns about low mathematics achievement have created a push to increase national mathematics proficiency levels through research and policy. Efforts have largely focused on early mathematics interventions for students with or at risk for mathematics learning difficulties implemented within multi-tiered response to intervention (RTI) frameworks. Within these models, important educational decisions are based upon instructional response, making meaningful categorization of student responsiveness to intervention paramount. Across research and practice, intervention outcomes are typically thought of as a binary, with students considered either responsive or non-responsive to intervention. However, defining and categorizing responsiveness in more complex ways may reveal important differences between subgroups of students who exhibit distinct patterns of responsiveness over time.The present study explored patterns of response to an early mathematics intervention using data from the ROOTS Efficacy Project. Participants included kindergarten students at risk for mathematics difficulties who were randomly assigned to the ROOTS intervention condition (n = 880). Results of a latent profile analysis indicated that variability in response to a generally effective intervention was best captured by a more complex categorization framework encompassing four distinct response profiles: a moderate-risk, mildly responsive group; a moderate-risk, delayed response group, a high-risk, strongly responsive group; and a lower-risk, non-responsive group. Membership in each response profile group was predicted by pre-intervention performance on measures of both early mathematics and cognitive skills (visual-spatial, fluid reasoning, and working memory). On average, students with lower initial math skill and cognitive performance demonstrated stronger intervention response. Implications for future research and practice are discussed.
주제
ISBN
9798379950828
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