Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 9 |
Descriptor
Error of Measurement | 10 |
Scores | 10 |
Statistics | 10 |
Comparative Analysis | 3 |
Computation | 3 |
Correlation | 3 |
Generalizability Theory | 3 |
Measurement | 3 |
Statistical Analysis | 3 |
Test Items | 3 |
Hypothesis Testing | 2 |
More ▼ |
Source
Journal of Educational… | 2 |
Applied Psychological… | 1 |
Assessment & Evaluation in… | 1 |
Educational Assessment | 1 |
Journal of Statistics… | 1 |
Office of Planning, Research… | 1 |
ProQuest LLC | 1 |
Springer | 1 |
Author
Almehrizi, Rashid S. | 1 |
Bernstein, Sara | 1 |
Cannon, Judy | 1 |
Cui, Zhongmin | 1 |
Dang, Myley | 1 |
Doran, Elizabeth | 1 |
Ferrao, Maria | 1 |
Fuller, Edward, | 1 |
Gorney, Kylie | 1 |
Grochowalski, Joseph H. | 1 |
Harrington, Jeff | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Reports - Evaluative | 2 |
Books | 1 |
Dissertations/Theses -… | 1 |
Guides - General | 1 |
Guides - Non-Classroom | 1 |
Numerical/Quantitative Data | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Preschool Education | 1 |
Audience
Location
California | 1 |
Portugal | 1 |
Laws, Policies, & Programs
Head Start | 1 |
Assessments and Surveys
Advanced Placement… | 1 |
Head Start Family and Child… | 1 |
What Works Clearinghouse Rating
Gorney, Kylie; Wollack, James A. – Journal of Educational Measurement, 2023
In order to detect a wide range of aberrant behaviors, it can be useful to incorporate information beyond the dichotomous item scores. In this paper, we extend the l[subscript z] and l*[subscript z] person-fit statistics so that unusual behavior in item scores and unusual behavior in item distractors can be used as indicators of aberrance. Through…
Descriptors: Test Items, Scores, Goodness of Fit, Statistics
Almehrizi, Rashid S. – Journal of Educational Measurement, 2021
Estimates of various variance components, universe score variance, measurement error variances, and generalizability coefficients, like all statistics, are subject to sampling variability, particularly in small samples. Such variability is quantified traditionally through estimated standard errors and/or confidence intervals. The paper derived new…
Descriptors: Error of Measurement, Statistics, Design, Generalizability Theory
Doran, Elizabeth; Reid, Natalie; Bernstein, Sara; Nguyen, Tutrang; Dang, Myley; Li, Ann; Kopack Klein, Ashley; Rakibullah, Sharika; Scott, Myah; Cannon, Judy; Harrington, Jeff; Larson, Addison; Tarullo, Louisa; Malone, Lizabeth – Office of Planning, Research and Evaluation, 2022
Head Start is a national program that helps young children from families with low income get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…
Descriptors: Federal Programs, Low Income Students, Social Services, Children
Vaughan, Timothy S. – Journal of Statistics Education, 2015
This paper introduces a dataset and associated analysis of the scores of National Football League (NFL) games over the 2012, 2013, and first five weeks of the 2014 season. In the face of current media attention to "lopsided" scores in Thursday night games in the early part of the 2014 season, t-test results indicate no statistically…
Descriptors: Team Sports, Success, Scores, Statistics
Grochowalski, Joseph H. – ProQuest LLC, 2015
Component Universe Score Profile analysis (CUSP) is introduced in this paper as a psychometric alternative to multivariate profile analysis. The theoretical foundations of CUSP analysis are reviewed, which include multivariate generalizability theory and constrained principal components analysis. Because CUSP is a combination of generalizability…
Descriptors: Computation, Psychometrics, Profiles, Scores
Zwick, Rebecca; Zapata-Rivera, Diego; Hegarty, Mary – Educational Assessment, 2014
Research has shown that many educators do not understand the terminology or displays used in test score reports and that measurement error is a particularly challenging concept. We investigated graphical and verbal methods of representing measurement error associated with individual student scores. We created four alternative score reports, each…
Descriptors: Error of Measurement, Scores, Reports, Comparative Analysis
Cui, Zhongmin; Kolen, Michael J. – Applied Psychological Measurement, 2008
This article considers two methods of estimating standard errors of equipercentile equating: the parametric bootstrap method and the nonparametric bootstrap method. Using a simulation study, these two methods are compared under three sample sizes (300, 1,000, and 3,000), for two test content areas (the Iowa Tests of Basic Skills Maps and Diagrams…
Descriptors: Test Length, Test Content, Simulation, Computation
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Ferrao, Maria – Assessment & Evaluation in Higher Education, 2010
The Bologna Declaration brought reforms into higher education that imply changes in teaching methods, didactic materials and textbooks, infrastructures and laboratories, etc. Statistics and mathematics are disciplines that traditionally have the worst success rates, particularly in non-mathematics core curricula courses. This research project,…
Descriptors: Foreign Countries, Computer Assisted Testing, Educational Technology, Educational Assessment

Fuller, Edward, – 1973
This self-instructional manual for psychological assessment focuses on the following topics: (1) general statistics, (2) central tendency, (3) random, continuous, and discrete variables, (4) variability, (5) measuring variability, (6) sampling, (7) derived scores, (8) covariation, (9) reliability and validity, and (10) standard error of…
Descriptors: Autoinstructional Aids, Correlation, Error of Measurement, Guides