Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 31 |
Descriptor
Correlation | 38 |
Psychometrics | 38 |
Models | 14 |
Computation | 8 |
Measures (Individuals) | 7 |
Statistical Analysis | 7 |
Evaluation Methods | 6 |
Item Response Theory | 6 |
Reliability | 6 |
Research Methodology | 6 |
Factor Analysis | 5 |
More ▼ |
Source
Author
Zumbo, Bruno D. | 2 |
Adams, Diane | 1 |
Allen, Gary L. | 1 |
Bahner, Angela D. | 1 |
Bailey, Tamika R. | 1 |
Bauer, Daniel J. | 1 |
Baxley, Philip G. | 1 |
Beato, Cristina | 1 |
Bockenholt, Ulf | 1 |
Brenner, Leon S. | 1 |
Brody, Linda E. | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 38 |
Journal Articles | 37 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 4 |
Elementary Education | 2 |
Elementary Secondary Education | 2 |
Postsecondary Education | 2 |
Secondary Education | 2 |
Adult Education | 1 |
Grade 1 | 1 |
Grade 3 | 1 |
Grade 4 | 1 |
Grade 8 | 1 |
Kindergarten | 1 |
More ▼ |
Audience
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Doran, Harold – Journal of Educational and Behavioral Statistics, 2023
This article is concerned with a subset of numerically stable and scalable algorithms useful to support computationally complex psychometric models in the era of machine learning and massive data. The subset selected here is a core set of numerical methods that should be familiar to computational psychometricians and considers whitening transforms…
Descriptors: Scaling, Algorithms, Psychometrics, Computation
Edgar C. Merkle; Oludare Ariyo; Sonja D. Winter; Mauricio Garnier-Villarreal – Grantee Submission, 2023
We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…
Descriptors: Models, Bayesian Statistics, Correlation, Evaluation Methods
Brenner, Leon S. – Creativity Research Journal, 2019
A strong relationship between creativity and major depression has been attested to in many past studies. These suggest a correlation between high creative propensity and the prevalence of depression as well as attribute the implementation of creative tasks in therapy with the facilitation and reduction of depressive symptoms. This article supports…
Descriptors: Creativity, Depression (Psychology), Correlation, Incidence
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
Gadermann, Anne M.; Guhn, Martin; Zumbo, Bruno D. – Practical Assessment, Research & Evaluation, 2012
This paper provides a conceptual, empirical, and practical guide for estimating ordinal reliability coefficients for ordinal item response data (also referred to as Likert, Likert-type, ordered categorical, or rating scale item responses). Conventionally, reliability coefficients, such as Cronbach's alpha, are calculated using a Pearson…
Descriptors: Likert Scales, Rating Scales, Reliability, Computation
Westfall, Peter H.; Henning, Kevin S. S.; Howell, Roy D. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article shows how interfactor correlation is affected by error correlations. Theoretical and practical justifications for error correlations are given, and a new equivalence class of models is presented to explain the relationship between interfactor correlation and error correlations. The class allows simple, parsimonious modeling of error…
Descriptors: Psychometrics, Correlation, Error of Measurement, Structural Equation Models
Landry, Jeffrey P.; Pardue, J. Harold; Daigle, Roy; Longenecker, Herbert E., Jr. – Information Systems Education Journal, 2013
This paper describes an instrument designed for assessing learning outcomes in data management. In addition to assessment of student learning and ABET outcomes, we have also found the instrument to be effective for determining database placement of incoming information systems (IS) graduate students. Each of these three uses is discussed in this…
Descriptors: Database Management Systems, Evaluation Methods, Graduate Students, Information Systems
Stumpf, Heinrich; Mills, Carol J.; Brody, Linda E.; Baxley, Philip G. – Roeper Review, 2013
The importance of spatial ability for success in a variety of domains, particularly in science, technology, engineering, and mathematics (STEM), is widely acknowledged. Yet, students with high spatial ability are rarely identified, as Talent Searches for academically talented students focus on identifying high mathematical and verbal abilities.…
Descriptors: Spatial Ability, Talent Identification, Academically Gifted, Screening Tests
Flood, Luci N.; Bulgrin, Amanda; Morgan, Betsy L. – Journal of Research in Special Educational Needs, 2013
The rise in the prevalence of autism creates a need for a reliable and valid measure of attitudes towards autism. The current study describes the development of a brief 16-item measure of Societal Attitudes towards Autism (SATA) that exhibits sound psychometric properties and has a demonstrated ability to discriminate between expert and general…
Descriptors: Undergraduate Students, Attitudes toward Disabilities, Autism, Attitude Measures
Reise, Steven P. – Multivariate Behavioral Research, 2012
Bifactor latent structures were introduced over 70 years ago, but only recently has bifactor modeling been rediscovered as an effective approach to modeling "construct-relevant" multidimensionality in a set of ordered categorical item responses. I begin by describing the Schmid-Leiman bifactor procedure (Schmid & Leiman, 1957) and highlight its…
Descriptors: Models, Factor Structure, Factor Analysis, Correlation
Poon, Wai-Yin; Wang, Hai-Bin – Psychometrika, 2010
A new class of parametric models that generalize the multivariate probit model and the errors-in-variables model is developed to model and analyze ordinal data. A general model structure is assumed to accommodate the information that is obtained via surrogate variables. A hybrid Gibbs sampler is developed to estimate the model parameters. To…
Descriptors: Correlation, Psychometrics, Models, Measurement
Pierson, Eric E.; Kilmer, Lydia M.; Rothlisberg, Barbara A.; McIntosh, David E. – Journal of Psychoeducational Assessment, 2012
Schools often administer brief intelligence tests as the first step in the identification of students who are cognitively gifted. However, brief measures are often used without consideration of underlying constructs or the psychometric properties of the measures and without regard to the links between screening decisions and educational…
Descriptors: Intelligence, Gifted, Intelligence Tests, Identification
Jensen, A. R. – Intelligence, 2011
Mental chronometry (MC) studies cognitive processes measured by time. It provides an absolute, ratio scale. The limitations of instrumentation and statistical analysis caused the early studies in MC to be eclipsed by the "paper-and-pencil" psychometric tests started by Binet. However, they use an age-normed, rather than a ratio scale, which…
Descriptors: Reaction Time, Intelligence Quotient, Measures (Individuals), Factor Analysis
Nilsson, Johanna E.; Marszalek, Jacob M.; Linnemeyer, Rachel M.; Bahner, Angela D.; Misialek, Leah Hanson – Educational and Psychological Measurement, 2011
This article describes the development and the initial psychometric evaluation of the Social Issues Advocacy Scale in two studies. In the first study, an exploratory factor analysis (n = 278) revealed a four-factor scale, accounting for 71.4% of the variance, measuring different aspects of social issue advocacy: Political and Social Advocacy,…
Descriptors: Social Problems, Life Satisfaction, Test Validity, Measures (Individuals)
Cloonan, Carrie A.; Hutchinson, John S. – Chemistry Education Research and Practice, 2011
A Chemistry Concept Reasoning Test was created and validated providing an easy-to-use tool for measuring conceptual understanding and critical scientific thinking of general chemistry models and theories. The test is designed to measure concept understanding comparable to that found in free-response questions requiring explanations over…
Descriptors: Test Validity, Chemistry, Correlation, Multiple Choice Tests