Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 13 |
Descriptor
Raw Scores | 28 |
Error of Measurement | 9 |
Academic Achievement | 7 |
Item Response Theory | 7 |
Test Items | 7 |
Test Construction | 6 |
Test Results | 6 |
Foreign Countries | 5 |
Scores | 5 |
Computation | 4 |
Psychometrics | 4 |
More ▼ |
Source
Author
Kolen, Michael J. | 2 |
Tong, Ye | 2 |
Al-Saleh, Mohammad Fraiwan | 1 |
Ali, Dareen | 1 |
Anderson, A. E. | 1 |
Banks, Karen | 1 |
Becker, Kirk | 1 |
Brennan, Robert L. | 1 |
Chatterjee, Susmita | 1 |
Chico, Eliseo | 1 |
Cook, Joseph | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 28 |
Journal Articles | 13 |
Numerical/Quantitative Data | 4 |
Speeches/Meeting Papers | 3 |
Collected Works - Proceedings | 1 |
Tests/Questionnaires | 1 |
Education Level
Elementary Secondary Education | 4 |
Higher Education | 4 |
Elementary Education | 1 |
Grade 6 | 1 |
High Schools | 1 |
Postsecondary Education | 1 |
Audience
Teachers | 1 |
Location
New Mexico | 2 |
Australia | 1 |
China | 1 |
India | 1 |
Qatar | 1 |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
Delaware Student Testing… | 4 |
Iowa Tests of Basic Skills | 2 |
National Assessment of… | 2 |
Childrens Manifest Anxiety… | 1 |
Graduate Management Admission… | 1 |
Iowa Tests of Educational… | 1 |
What Works Clearinghouse Rating
Jacob, Brian; Rothstein, Jesse – National Bureau of Economic Research, 2016
Economists often use test scores to measure a student's performance or an adult's human capital. These scores reflect non-trivial 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…
Descriptors: Measurement, Academic Ability, Educational Assessment, Scores
Rudner, Lawrence M. – Graduate Management Admission Council, 2012
GMAT (Graduate Management Admission Test) scaled scores convey the same level of ability over time, and GMAT percentiles convey the competitiveness of scores relative to today's GMAT test takers. In an earlier column, the author discussed the role of the GMAT scaled scores and percentiles. Here, he gets more technical and discusses how GMAT scaled…
Descriptors: College Entrance Examinations, Graduate Study, Business Administration Education, Scores
Kolen, Michael J.; Lee, Won-Chan – Educational Measurement: Issues and Practice, 2011
This paper illustrates that the psychometric properties of scores and scales that are used with mixed-format educational tests can impact the use and interpretation of the scores that are reported to examinees. Psychometric properties that include reliability and conditional standard errors of measurement are considered in this paper. The focus is…
Descriptors: Test Use, Test Format, Error of Measurement, Raw Scores
Al-Saleh, Mohammad Fraiwan; Ali, Dareen; Dahshal, Laila – International Journal of Mathematical Education in Science and Technology, 2010
A grade-reference curve (GRC) can be constructed for any course based on the grades of a course in the last several years. Among other things, the reference curve of a course can be used to test for any abnormality in the current semester's grades of a course. It can be a very important document about the course that serves students, teachers and…
Descriptors: Statistical Analysis, Grades (Scholastic), Grading, Mathematics Instruction
Jin, Yan; Fan, Jinsong – Language Testing, 2011
The purpose of the Test for English Majors (TEM) is to measure the English proficiency of Chinese university undergraduates majoring in English Language and Literature and to examine whether these students meet the required levels of English language abilities as specified in the National College English Teaching Syllabus for English Majors…
Descriptors: Majors (Students), Advisory Committees, Individual Testing, Examiners
Tong, Ye; Kolen, Michael J. – Educational Measurement: Issues and Practice, 2010
"Scaling" is the process of constructing a score scale that associates numbers or other ordered indicators with the performance of examinees. Scaling typically is conducted to aid users in interpreting test results. This module describes different types of raw scores and scale scores, illustrates how to incorporate various sources of…
Descriptors: Test Results, Scaling, Measures (Individuals), Raw Scores
DeMars, Christine E. – Educational and Psychological Measurement, 2008
The graded response (GR) and generalized partial credit (GPC) models do not imply that examinees ordered by raw observed score will necessarily be ordered on the expected value of the latent trait (OEL). Factors were manipulated to assess whether increased violations of OEL also produced increased Type I error rates in differential item…
Descriptors: Test Items, Raw Scores, Test Theory, Error of Measurement
DiStefano, Christine; Zhu, Min; Mindrila, Diana – Practical Assessment, Research & Evaluation, 2009
Following an exploratory factor analysis, factor scores may be computed and used in subsequent analyses. Factor scores are composite variables which provide information about an individual's placement on the factor(s). This article discusses popular methods to create factor scores under two different classes: refined and non-refined. Strengths and…
Descriptors: Factor Structure, Factor Analysis, Researchers, Scores
Sur, Dipika; Cook, Joseph; Chatterjee, Susmita; Deen, Jacqueline; Whittington, Dale – Journal of Policy Analysis and Management, 2007
We believe a lack of transparency undermines both the credibility of, and interest in, stated choice studies among policy makers. Unlike articles reporting the results of contingent valuation studies, papers in the stated choice literature rarely present simple tabulations of raw response data (that is, a table or graph showing the percentage of…
Descriptors: Foreign Countries, Research Design, Policy Analysis, Educational Policy
Ferrando, Pere J.; Chico, Eliseo – Psicologica: International Journal of Methodology and Experimental Psychology, 2007
A theoretical advantage of item response theory (IRT) models is that trait estimates based on these models provide more test information than any other type of test score. It is still unclear, however, whether using IRT trait estimates improves external validity results in comparison with the results that can be obtained by using simple raw…
Descriptors: Validity, Raw Scores, Inferences, Item Response Theory

Becker, Kirk – Popular Measurement, 2000
Describes the steps for estimating a population mean from three test items from a test that has been calibrated. Because the Rasch model allows for a direct transformation between raw scores and logit measures, if a population mean in logits is known relative to a set of item calibrations, the population mean in raw score units can be determined.…
Descriptors: Estimation (Mathematics), Raw Scores, Test Construction, Test Items

Brennan, Robert L. – Applied Psychological Measurement, 1998
Provides a comprehensive and integrated treatment of both conditional absolute standard errors of measurement (SEM) and conditional relative SEMs from the perspective of generalizability theory. Illustrates the approach with examples from commercial standardized tests. Examples support the conclusion that both types of conditional SEMs tend to be…
Descriptors: Error of Measurement, Generalizability Theory, Raw Scores, Standardized Tests
Gollwitzer, Mario; Eid, Michael; Jurgensen, Ralph – Psychological Assessment, 2005
This study demonstrates how mixture distribution item response models can be used to detect different response styles in the clinical assessment of anger expression. Analyses of 3 subscales of the State-Trait Anger Expression Inventory in a clinical sample of 4,497 patients revealed that there are different response styles that manifest themselves…
Descriptors: Psychological Patterns, Patients, Social Desirability, Raw Scores
Klubeck, Martin; Langthorne, Michael; Padgett, Don – EDUCAUSE Quarterly, 2006
Something new is on the horizon, and depending on one's role on campus, it might be storm clouds or a cleansing shower. Either way, no matter how hard one tries to avoid it, sooner rather than later he/she will have to deal with metrics. Metrics do not have to cause fear and resistance. Metrics can, and should, be a powerful tool for improvement.…
Descriptors: Metric System, Middle Management, Educational Improvement, Information Technology
Schumacker, Randall E. – 1998
In comparing measurement theories, it is evident that the awareness of the concept of measurement error during the time of Galileo has lead to the formulation of observed scores comprising a true score and error (classical theory), universe score and various random error components (generalizability theory), or individual latent ability and error…
Descriptors: Comparative Analysis, Computer Software, Error of Measurement, Generalizability Theory
Previous Page | Next Page ยป
Pages: 1 | 2