The Measurement of Student Ability in Modern Assessment Systems
Bibliographic Data
| ID | 4029233 |
|---|---|
| Authors | Brian Jacob (0009-0003-3794-9850, (Brian Jacob is Walter H. Annenberg Professor of Education Policy, Professor of Economics, and Professor of Education at the University of Michigan, Ann Arbor, Michigan. He is Research Associate, National Bureau of Economic Research, Cambridge, Massachusetts. )), Jesse Rothstein (0000-0001-6140-0858, Jesse Rothstein is Professor of Public Policy and Economics and Director of the Institute for Research on Labor and Employment (IRLE) at the University of California, Berkeley, California. He is Research Associate, National Bureau of Economic Research, Cambridge, Massachusetts. )) |
| Year | 2016 |
| Volume | 30 |
| Issue | 3 |
| Pages | 85-108 |
| Publication date | 2016-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Journal of Economic Perspectives (JOURNAL) |
| Journal identifiers | ISSN: 0895-3309 • E-ISSN: 1944-7965 |
| Publisher | American Economic Association (PUBLISHER • US) |
| DOI | 10.1257/jep.30.3.85 |
| OpenAlex | W2498388617 |
| Language | EN |
| Citations received | 28 |
| References cited | 26 |
Economists often use test scores to measure a student’s performance or an adult’s human capital. These scores reflect nontrivial decisions about how to measure and scale student achievement, with important implications for secondary analyses. For example, the scores computed in several major testing regimes, including the National Assessment of Educational Progress (NAEP), depend not only on the examinees’ responses to test items, but also on their background characteristics, including race and gender. As a consequence, if a black and white student respond identically to questions on the NAEP assessment, the reported ability for the black student will be lower than for the white student—reflecting the lower average performance of black students. This can bias many secondary analyses. Other assessments use different measurement models. This paper aims to familiarize applied economists with the construction and properties of common cognitive score measures and the implications for research using these measures
Accountability · Economics · Economics education · Educational assessment · Human capital · Labour economics · Mathematics education · Pedagogy · Political science · Positive economics · Sociology · Standardized test · Vocational education · Wage · Global Educational Reforms and Inequalities · Higher Education Research Studies · Law · Psychology · School Choice and Performance
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| Unique citing works | 28 |
|---|---|
| Citations per year | 3,5 |
| Citation span | 2018 - 2027 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 27 |