Assessing College Readiness: Should We Be Satisfied With ACT or Other Threshold Scores?

This article examines the logic underlying different models for assessing the college readiness of high school students. It focuses on benchmark scores that purportedly identify students who are college ready and presents the challenges of using threshold scores from a single assessment instrument t...

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Published inEducational researcher Vol. 41; no. 7; pp. 252 - 261
Main Author Maruyama, Geoffrey
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.10.2012
American Educational Research Association
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Abstract This article examines the logic underlying different models for assessing the college readiness of high school students. It focuses on benchmark scores that purportedly identify students who are college ready and presents the challenges of using threshold scores from a single assessment instrument to represent readiness. As well as providing logical and methodological reasons to be wary of threshold scores, analyses of Minnesota and national data illustrate their shortcomings. The article argues that assessments of college readiness should (a) use benchmarks with meaning and consequences for students, (b) employ multiple measures to provide readiness information more precise than from a threshold score derived from any single assessment, and (c) present readiness in terms of probabilities or likelihoods rather than as ready or not.
AbstractList This article examines the logic underlying different models for assessing the college readiness of high school students. It focuses on benchmark scores that purportedly identify students who are college ready and presents the challenges of using threshold scores from a single assessment instrument to represent readiness. As well as providing logical and methodological reasons to be wary of threshold scores, analyses of Minnesota and national data illustrate their shortcomings. The article argues that assessments of college readiness should (a) use benchmarks with meaning and consequences for students, (b) employ multiple measures to provide readiness information more precise than from a threshold score derived from any single assessment, and (c) present readiness in terms of probabilities or likelihoods rather than as ready or not.
This article examines the logic underlying different models for assessing the college readiness of high school students. It focuses on benchmark scores that purportedly identify students who are college ready and presents the challenges of using threshold scores from a single assessment instrument to represent readiness. As well as providing logical and methodological reasons to be wary of threshold scores, analyses of Minnesota and national data illustrate their shortcomings. The article argues that assessments of college readiness should (a) use benchmarks with meaning and consequences for students, (b) employ multiple measures to provide readiness information more precise than from a threshold score derived from any single assessment, and (c) present readiness in terms of probabilities or likelihoods rather than as ready or not. [PUBLICATION ABSTRACT]
This article examines the logic underlying different models for assessing the college readiness of high school students. It focuses on benchmark scores that purportedly identify students who are college ready and presents the challenges of using threshold scores from a single assessment instrument to represent readiness. As well as providing logical and methodological reasons to be wary of threshold scores, analyses of Minnesota and national data illustrate their shortcomings. The article argues that assessments of college readiness should (a) use benchmarks with meaning and consequences for students, (b) employ multiple measures to provide readiness information more precise than from a threshold score derived from any single assessment, and (c) present readiness in terms of probabilities or likelihoods rather than as ready or not. (Contains 6 notes and 7 figures.)
Audience Higher Education
Postsecondary Education
High Schools
Secondary Education
Author Maruyama, Geoffrey
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Cites_doi 10.1515/9781400831463
10.1023/A:1024284932709
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10.2190/V4EN-NW42-742Q-2NTL
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10.1007/s11162-007-9067-2
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Issue 7
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regression analyses
achievement
secondary data analysis
cognitive processes/development
performance assessment
accountability
correlational analysis
measurements
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  year: 2011
  ident: bibr10-0013189X12455095
  contributor:
    fullname: Aud S.
– ident: bibr22-0013189X12455095
  doi: 10.3998/mpub.16836
– ident: bibr50-0013189X12455095
  doi: 10.3102/00028312042003439
– volume-title: Paper presented at the annual meeting of the National Council on Measurement in Education
  year: 2011
  ident: bibr19-0013189X12455095
  contributor:
    fullname: Conley D. T.
– volume-title: Academic tenacity: Mindset and skills that promote long-term learning
  year: 2011
  ident: bibr23-0013189X12455095
  contributor:
    fullname: Dweck C.
– ident: bibr9-0013189X12455095
  doi: 10.1023/A:1024903702810
– ident: bibr33-0013189X12455095
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Snippet This article examines the logic underlying different models for assessing the college readiness of high school students. It focuses on benchmark scores that...
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SubjectTerms Academic Achievement
ACT Assessment
Benchmarking
Benchmarks
Cognitive models
College Bound Students
College Entrance Examinations
College mathematics
College Readiness
College students
Colleges
Educational Attainment
Educational evaluation
Educational research
Grade point average
High school students
High schools
Higher education
Logic
Measures (Individuals)
Minnesota
Performance Based Assessment
Probability
Regression (Statistics)
SAT (College Admission Test)
Secondary school students
Standardized tests
Thresholds
Title Assessing College Readiness: Should We Be Satisfied With ACT or Other Threshold Scores?
URI https://www.jstor.org/stable/23271495
https://journals.sagepub.com/doi/full/10.3102/0013189X12455095
http://eric.ed.gov/ERICWebPortal/detail?accno=EJ979647
https://www.proquest.com/docview/1042429348
Volume 41
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