Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 17 |
Since 2006 (last 20 years) | 44 |
Descriptor
Computation | 48 |
Models | 48 |
Validity | 32 |
Evaluation Methods | 10 |
Foreign Countries | 10 |
Statistical Analysis | 10 |
Psychometrics | 9 |
Test Validity | 9 |
Cognitive Processes | 7 |
Mathematics Achievement | 7 |
Predictive Validity | 7 |
More ▼ |
Source
Author
Champagne, Zachary M. | 2 |
Chick, Helen L., Ed. | 2 |
Farina, Kristy | 2 |
Kim, Dan | 2 |
LaVenia, Mark | 2 |
Opfer, John E. | 2 |
Schoen, Robert C. | 2 |
Vincent, Jill L., Ed. | 2 |
Akbay, Lokman | 1 |
Alina A. Davier | 1 |
Allen, Jeff | 1 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 1 |
Location
Australia | 4 |
United States | 3 |
Canada | 2 |
China | 2 |
Japan | 2 |
South Korea | 2 |
Texas | 2 |
Arizona | 1 |
California | 1 |
China (Shanghai) | 1 |
Florida | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Eysenck Personality Inventory | 1 |
Praxis Series | 1 |
Program for the International… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Terry A. Ackerman; Deborah L. Bandalos; Derek C. Briggs; Howard T. Everson; Andrew D. Ho; Susan M. Lottridge; Matthew J. Madison; Sandip Sinharay; Michael C. Rodriguez; Michael Russell; Alina A. Davier; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2024
This article presents the consensus of an National Council on Measurement in Education Presidential Task Force on Foundational Competencies in Educational Measurement. Foundational competencies are those that support future development of additional professional and disciplinary competencies. The authors develop a framework for foundational…
Descriptors: Educational Assessment, Competence, Skill Development, Communication Skills
Yuguo Ke; Xiaozhen Zhou – SAGE Open, 2025
Focusing efficiently on potential weaknesses in the validity argument of writing assessments--such as writing subjectivity, content coverage, criteria vagueness, and raters' incompetence--has been shown to positively enhance teachers' overall writing assessment competence (AC). In this study, we propose a computational bootstrapping model of…
Descriptors: Writing Evaluation, Persuasive Discourse, Validity, Writing Teachers
Kim, Dan; Opfer, John E. – Cognitive Science, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Kim, Dan; Opfer, John E. – Grantee Submission, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Litwin, Piotr; Milkowski, Marcin – Cognitive Science, 2020
Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains…
Descriptors: Prediction, Cognitive Processes, Epistemology, Theories
Krenzke, Tom; Mohadjer, Leyla; Li, Jianzhu; Erciulescu, Andreea; Fay, Robert; Ren, Weijia; Van de Kerckhove, Wendy; Li, Lin; Rao, J. N. K. – National Center for Education Statistics, 2020
The Program for the International Assessment of Adult Competencies (PIAAC) is a multicycle survey of adult skills and competencies sponsored by the Organization for Economic Cooperation and Development (OECD). The survey examines a range of basic skills in the information age and assesses these adult skills consistently across participating…
Descriptors: Adults, Surveys, Statistical Analysis, Computation
Tsai, Meng-Jung; Liang, Jyh-Chong; Lee, Silvia Wen-Yu; Hsu, Chung-Yuan – Journal of Educational Computing Research, 2022
A prior study developed the Computational Thinking Scale (CTS) for assessing individuals' computational thinking dispositions in five dimensions: decomposition, abstraction, algorithmic thinking, evaluation, and generalization. This study proposed the Developmental Model of Computational Thinking through validating the structural relationships…
Descriptors: Thinking Skills, Problem Solving, Computation, Models
Torre, Jimmy de la; Akbay, Lokman – Eurasian Journal of Educational Research, 2019
Purpose: Well-designed assessment methodologies and various cognitive diagnosis models (CDMs) to extract diagnostic information about examinees' individual strengths and weaknesses have been developed. Due to this novelty, as well as educational specialists' lack of familiarity with CDMs, their applications are not widespread. This article aims at…
Descriptors: Cognitive Measurement, Models, Computer Software, Testing
Lewis, Todd F. – Measurement and Evaluation in Counseling and Development, 2017
American Educational Research Association (AERA) standards stipulate that researchers show evidence of the internal structure of instruments. Confirmatory factor analysis (CFA) is one structural equation modeling procedure designed to assess construct validity of assessments that has broad applicability for counselors interested in instrument…
Descriptors: Educational Research, Factor Analysis, Structural Equation Models, Construct Validity
Sales, Adam C.; Hansen, Ben B.; Rowan, Brian – Journal of Educational and Behavioral Statistics, 2018
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…
Descriptors: Computation, Prediction, Models, Data
Durand, Guillaume; Goutte, Cyril; Léger, Serge – International Educational Data Mining Society, 2018
Knowledge tracing is a fundamental area of educational data modeling that aims at gaining a better understanding of the learning occurring in tutoring systems. Knowledge tracing models fit various parameters on observed student performance and are evaluated through several goodness of fit metrics. Fitted parameter values are of crucial interest in…
Descriptors: Error of Measurement, Models, Goodness of Fit, Predictive Validity
Schoen, Robert C.; LaVenia, Mark; Champagne, Zachary M.; Farina, Kristy; Tazaz, Amanda M. – Grantee Submission, 2017
The following report describes an assessment instrument called the Mathematics Performance and Cognition (MPAC) interview. The MPAC interview was designed to measure two outcomes of interest. It was designed to measure first and second graders' mathematics achievement in number, operations, and equality, and it was also designed to gather…
Descriptors: Interviews, Test Construction, Psychometrics, Elementary School Mathematics
Schoen, Robert C.; LaVenia, Mark; Champagne, Zachary M.; Farina, Kristy – Grantee Submission, 2017
This report provides an overview of the development, implementation, and psychometric properties of a student mathematics interview designed to assess first- and second-grade student achievement and thinking processes. The student interview was conducted with 622 first- or second-grade students in 22 schools located in two public school districts…
Descriptors: Interviews, Test Construction, Psychometrics, Elementary School Mathematics
Osler, James Edward, II – Journal on Educational Psychology, 2016
The overall aim of this paper is to provide an epistemological rational for the measurement of intentionality. The purpose of this narrative is to identify "Intentionality" as an arena of action in the dispositional learning domain can be measured using an "Intentionality Measurement Instrument" [also referred by the acronym…
Descriptors: Measures (Individuals), Intention, Motivation, Personality
Oluwalana, Olasumbo O. – ProQuest LLC, 2019
A primary purpose of cognitive diagnosis models (CDMs) is to classify examinees based on their attribute patterns. The Q-matrix (Tatsuoka, 1985), a common component of all CDMs, specifies the relationship between the set of required dichotomous attributes and the test items. Since a Q-matrix is often developed by content-knowledge experts and can…
Descriptors: Classification, Validity, Test Items, International Assessment