NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Practitioners1
What Works Clearinghouse Rating
Showing 1 to 15 of 215 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Allen, Jeff; Mattern, Krista – Educational Measurement: Issues and Practice, 2019
We examined summary indices of high school performance (coursework, grades, and test scores) based on the graded response model (GRM). The indices varied by inclusion of ACT test scores and whether high school courses were constrained to have the same difficulty and discrimination across groups of schools. The indices were examined with respect to…
Descriptors: High School Students, Academic Achievement, Secondary School Curriculum, Difficulty Level
Peer reviewed Peer reviewed
Direct linkDirect link
Allen, Jeff; Mattern, Krista; Ndum, Edwin – Educational Measurement: Issues and Practice, 2019
We derived an index of high school academic rigor (HSAR) by optimizing the prediction of first-year college GPA (FYGPA) based on high school courses taken, grades, and indicators of advanced coursework. Using a large data set and nominal parameterization of high school course outcomes, the HSAR index capitalizes on differential contributions…
Descriptors: High Schools, Difficulty Level, Prediction, Grade Point Average
Peer reviewed Peer reviewed
Direct linkDirect link
Kosh, Audra E.; Simpson, Mary Ann; Bickel, Lisa; Kellogg, Mark; Sanford-Moore, Ellie – Educational Measurement: Issues and Practice, 2019
Automatic item generation (AIG)--a means of leveraging technology to create large quantities of items--requires a minimum number of items to offset the sizable upfront investment (i.e., model development and technology deployment) in order to achieve cost savings. In this cost-benefit analysis, we estimated the cost of each step of AIG and manual…
Descriptors: Cost Effectiveness, Automation, Test Items, Mathematics Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Jerrim, John; Parker, Philip; Choi, Alvaro; Chmielewski, Anna Katyn; Sälzer, Christine; Shure, Nikki – Educational Measurement: Issues and Practice, 2018
The Programme for International Student Assessment (PISA) is an important international study of 15-olds' knowledge and skills. New results are released every 3 years, and have a substantial impact upon education policy. Yet, despite its influence, the methodology underpinning PISA has received significant criticism. Much of this criticism has…
Descriptors: Educational Assessment, Comparative Education, Achievement Tests, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Shepard, L. A.; Penuel, W. R.; Pellegrino, J. W. – Educational Measurement: Issues and Practice, 2018
To support equitable and ambitious teaching practices, classroom assessment design must be grounded in a research-based theory of learning. Compared to other theories, sociocultural theory offers a more powerful, integrative account of how motivational aspects of learning--such as self-regulation, self-efficacy, sense of belonging, and…
Descriptors: Educational Assessment, Formative Evaluation, Grading, Learning Theories
Peer reviewed Peer reviewed
Direct linkDirect link
Wilson, Mark – Educational Measurement: Issues and Practice, 2018
This article is a written version of the Presidential Address I gave at the annual meeting of the National Council on Measurement in Education (NCME) in April 2017. It is a call to NCME members (and others who read this, of course) to rebalance their focus so that classroom assessments are seen as being at least as important as large-scale…
Descriptors: Educational Assessment, Student Evaluation, Alignment (Education), Educational Practices
Peer reviewed Peer reviewed
Direct linkDirect link
Gotch, Chad M.; Roduta Roberts, Mary – Educational Measurement: Issues and Practice, 2018
As the primary interface between test developers and multiple educational stakeholders, score reports are a critical component to the success (or failure) of any assessment program. The purpose of this review is to document recent research on individual-level score reporting to advance the research and practice of score reporting. We conducted a…
Descriptors: Scores, Models, Correlation, Stakeholders
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Ou Lydia – Educational Measurement: Issues and Practice, 2017
Student learning outcomes assessment has been increasingly used in U.S. higher education institutions over the last 10 years, partly fueled by the recommendation from the Spellings Commission that institutions need to demonstrate more direct evidence of student learning. To respond to the Commission's call, various accountability initiatives have…
Descriptors: College Outcomes Assessment, Accountability, Higher Education, Educational Improvement
Peer reviewed Peer reviewed
Direct linkDirect link
O'Leary, Timothy M.; Hattie, John A. C.; Griffin, Patrick – Educational Measurement: Issues and Practice, 2017
Validity is the most fundamental consideration in test development. Understandably, much time, effort, and money is spent in its pursuit. Central to the modern conception of validity are the interpretations made, and uses planned, on the basis of test scores. There is, unfortunately, however, evidence that test users have difficulty understanding…
Descriptors: Test Interpretation, Scores, Test Validity, Evidence
Peer reviewed Peer reviewed
Direct linkDirect link
Newton, Paul E. – Educational Measurement: Issues and Practice, 2017
The dominant narrative for assessment design seems to reflect a strong, albeit largely implicit undercurrent of purpose purism, which idealizes the principle that assessment design should be driven by a single assessment purpose. With a particular focus on achievement assessments, the present article questions the tenability of purpose purism,…
Descriptors: Evaluation Methods, Test Construction, Instructional Design, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Wise, Steven L. – Educational Measurement: Issues and Practice, 2017
The rise of computer-based testing has brought with it the capability to measure more aspects of a test event than simply the answers selected or constructed by the test taker. One behavior that has drawn much research interest is the time test takers spend responding to individual multiple-choice items. In particular, very short response…
Descriptors: Guessing (Tests), Multiple Choice Tests, Test Items, Reaction Time
Peer reviewed Peer reviewed
Direct linkDirect link
Lazowski, Rory A.; Barron, Kenneth E.; Kosovich, Jeff J.; Hulleman, Chris S. – Educational Measurement: Issues and Practice, 2016
In an article published in "Educational Measurement: Issues and Practice," Gaertner and McClarty (2015) discuss a college readiness index based, in part, on nonacademic or noncognitive factors measured in middle school. Such an index is laudable as it incorporates important constructs beyond academic achievement measures that may be…
Descriptors: College Readiness, Measures (Individuals), Student Motivation, Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Mattern, Krista; Allen, Jeff; Camara, Wayne – Educational Measurement: Issues and Practice, 2016
The findings of the Gaertner and McClarty article (2015) raised awareness on two extremely important topics related to college readiness: First, to effect change, we must measure students' progression towards college readiness throughout their K-12 career rather than just at the culmination of high school. Second, college readiness encompasses…
Descriptors: College Readiness, Middle School Students, Measures (Individuals), Progress Monitoring
Peer reviewed Peer reviewed
Direct linkDirect link
Gaertner, Matthew N.; McClarty, Katie Larsen – Educational Measurement: Issues and Practice, 2016
This rejoinder provides a reply to comments on a middle school college readiness index, which was devised to generate earlier and more nuanced readiness diagnoses to K-12 students. Issues of reliability and validity (including construct underrepresentation and construct-irrelevant variance) are discussed in detail. In addition, comments from…
Descriptors: Middle School Students, College Readiness, Measures (Individuals), Reliability
Peer reviewed Peer reviewed
Direct linkDirect link
Cho, Sun-Joo; Suh, Youngsuk; Lee, Woo-yeol – Educational Measurement: Issues and Practice, 2016
The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. The mixture item response models for DIF analysis involve comparing item profiles across latent groups, instead of manifest groups. First, an overview of DIF analysis based on latent groups, called…
Descriptors: Test Bias, Research Methodology, Evaluation Methods, Models
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  15