NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Location
New York3
Taiwan1
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing 1 to 15 of 16 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Chia-Wen; Andersson, Björn; Zhu, Jinxin – Journal of Educational Measurement, 2023
The certainty of response index (CRI) measures respondents' confidence level when answering an item. In conjunction with the answers to the items, previous studies have used descriptive statistics and arbitrary thresholds to identify student knowledge profiles with the CRIs. Whereas this approach overlooked the measurement error of the observed…
Descriptors: Item Response Theory, Factor Analysis, Psychometrics, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
Perman Gochyyev; Mark Wilson – Society for Research on Educational Effectiveness, 2021
Lord's paradox arises from the conflicting inferences obtained from two alternative approaches that are typically used in evaluating the treatment effect using a pre-post test design. The two main approaches for analyzing such data are: (1) to regress the change from pretest to posttest on the treatment indicator (change score approach; CS); (2)…
Descriptors: Students, Mathematics Curriculum, Mathematics Instruction, Curriculum Development
Peer reviewed Peer reviewed
Direct linkDirect link
Zieger, Laura Raffaella; Jerrim, J.; Anders, J.; Shure, N. – Assessment in Education: Principles, Policy & Practice, 2022
The OECD's Programme for International Student Assessment (PISA) has become one of the key studies for evidence-based education policymaking across the globe. PISA has however received a lot of methodological criticism, including how the test scores are created. The aim of this paper is to investigate the so-called 'conditioning model', where…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lockwood, J. R.; Castellano, Katherine E. – Grantee Submission, 2015
This article suggests two alternative statistical approaches for estimating student growth percentiles (SGP). The first is to estimate percentile ranks of current test scores conditional on past test scores directly, by modeling the conditional cumulative distribution functions, rather than indirectly through quantile regressions. This would…
Descriptors: Statistical Analysis, Achievement Gains, Academic Achievement, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Thissen, David – Journal of Educational and Behavioral Statistics, 2016
David Thissen, a professor in the Department of Psychology and Neuroscience, Quantitative Program at the University of North Carolina, has consulted and served on technical advisory committees for assessment programs that use item response theory (IRT) over the past couple decades. He has come to the conclusion that there are usually two purposes…
Descriptors: Item Response Theory, Test Construction, Testing Problems, Student Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2015
Person-fit assessment may help the researcher to obtain additional information regarding the answering behavior of persons. Although several researchers examined person fit, there is a lack of research on person-fit assessment for mixed-format tests. In this article, the lz statistic and the ?2 statistic, both of which have been used for tests…
Descriptors: Test Format, Goodness of Fit, Item Response Theory, Bayesian Statistics
Lockwood, J. R.; Castellano, Katherine E. – Educational and Psychological Measurement, 2017
Student Growth Percentiles (SGPs) increasingly are being used in the United States for inferences about student achievement growth and educator effectiveness. Emerging research has indicated that SGPs estimated from observed test scores have large measurement errors. As such, little is known about "true" SGPs, which are defined in terms…
Descriptors: Item Response Theory, Correlation, Student Characteristics, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Battauz, Michela; Bellio, Ruggero – Psychometrika, 2011
This paper proposes a structural analysis for generalized linear models when some explanatory variables are measured with error and the measurement error variance is a function of the true variables. The focus is on latent variables investigated on the basis of questionnaires and estimated using item response theory models. Latent variable…
Descriptors: Error of Measurement, Structural Equation Models, Computation, Item Response Theory
New York State Education Department, 2016
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 Common Core English Language Arts (ELA) and Mathematics 2016 Operational Tests. This report includes information about test content and test development, item (i.e.,…
Descriptors: Testing Programs, English, Language Arts, Mathematics Tests
New York State Education Department, 2015
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 Common Core English Language Arts (ELA) and Mathematics 2015 Operational Tests. This report includes information about test content and test development, item (i.e.,…
Descriptors: Testing Programs, English, Language Arts, Mathematics Tests
New York State Education Department, 2014
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 Common Core English Language Arts (ELA) and Mathematics 2014 Operational Tests. This report includes information about test content and test development, item (i.e.,…
Descriptors: Testing Programs, English, Language Arts, Mathematics Tests
Stacy, Brian; Reckase, Mark; Wooldridge, Jeffrey; Guarino, Cassandra – Education Policy Center at Michigan State University, 2013
This paper investigates how the precision and stability of a teacher's value-added estimate relates to the characteristics of the teacher's students. Using a large administrative data set and a variety of teacher value-added estimators, it finds that the stability over time of teacher value-added estimates can depend on the previous achievement…
Descriptors: Teacher Effectiveness, Teacher Competencies, Academic Achievement, Computation
Doorey, Nancy A. – Council of Chief State School Officers, 2011
The work reported in this paper reflects a collaborative effort of many individuals representing multiple organizations. It began during a session at the October 2008 meeting of TILSA when a representative of a member state asked the group if any of their programs had experienced unexpected fluctuations in the annual state assessment scores, and…
Descriptors: Testing, Sampling, Expertise, Testing Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Ayers, Elizabeth; Junker, Brian – Educational and Psychological Measurement, 2008
Interest in end-of-year accountability exams has increased dramatically since the passing of the No Child Left Behind Act in 2001. With this increased interest comes a desire to use student data collected throughout the year to estimate student proficiency and predict how well they will perform on end-of-year exams. This article uses student…
Descriptors: Federal Legislation, Tests, Scores, Academic Achievement
Boyd, Don; Grossman, Pam; Lankford, Hamp; Loeb, Susanna; Wyckoff, Jim – National Center for Analysis of Longitudinal Data in Education Research, 2008
The use of value-added models in education research has expanded rapidly. These models allow researchers to explore how a wide variety of policies and measured school inputs affect the academic performance of students. An important question is whether such effects are sufficiently large to achieve various policy goals. Judging whether a change in…
Descriptors: Academic Achievement, Measures (Individuals), Measurement, Error of Measurement
Previous Page | Next Page »
Pages: 1  |  2