Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 29 |
Descriptor
Correlation | 44 |
Error of Measurement | 44 |
Predictor Variables | 44 |
Computation | 11 |
Regression (Statistics) | 11 |
Statistical Analysis | 11 |
Multiple Regression Analysis | 9 |
Sample Size | 9 |
Scores | 9 |
Reliability | 8 |
Effect Size | 7 |
More ▼ |
Source
Author
Edwards, Keith J. | 2 |
Moses, Tim | 2 |
Aiken, Leona S. | 1 |
Algina, James | 1 |
Aloe, Ariel M. | 1 |
Aydin, Burak | 1 |
Becker, Betsy Jane | 1 |
Bentler, Peter M. | 1 |
Bonett, Douglas G. | 1 |
Boyd, Donald | 1 |
Bradford, George | 1 |
More ▼ |
Publication Type
Journal Articles | 30 |
Reports - Research | 24 |
Reports - Evaluative | 9 |
Reports - Descriptive | 7 |
Speeches/Meeting Papers | 6 |
Dissertations/Theses -… | 2 |
Guides - Non-Classroom | 1 |
Education Level
Audience
Location
New York | 2 |
California | 1 |
Illinois | 1 |
Indonesia | 1 |
Malaysia | 1 |
Netherlands | 1 |
New Jersey | 1 |
North Carolina | 1 |
Tennessee | 1 |
Texas | 1 |
United Kingdom (England) | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Child Behavior Checklist | 1 |
Early Childhood Environment… | 1 |
Early Childhood Longitudinal… | 1 |
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Francesco Innocenti; Math J. J. M. Candel; Frans E. S. Tan; Gerard J. P. van Breukelen – Journal of Educational and Behavioral Statistics, 2024
Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…
Descriptors: Sample Size, Multivariate Analysis, Error of Measurement, Regression (Statistics)
Viola Merhof; Caroline M. Böhm; Thorsten Meiser – Educational and Psychological Measurement, 2024
Item response tree (IRTree) models are a flexible framework to control self-reported trait measurements for response styles. To this end, IRTree models decompose the responses to rating items into sub-decisions, which are assumed to be made on the basis of either the trait being measured or a response style, whereby the effects of such person…
Descriptors: Item Response Theory, Test Interpretation, Test Reliability, Test Validity
Sorjonen, Kimmo; Melin, Bo; Ingre, Michael – Educational and Psychological Measurement, 2019
The present simulation study indicates that a method where the regression effect of a predictor (X) on an outcome at follow-up (Y1) is calculated while adjusting for the outcome at baseline (Y0) can give spurious findings, especially when there is a strong correlation between X and Y0 and when the test-retest correlation between Y0 and Y1 is…
Descriptors: Predictor Variables, Regression (Statistics), Correlation, Error of Measurement
Sinharay, Sandip – Journal of Educational Measurement, 2018
The value-added method of Haberman is arguably one of the most popular methods to evaluate the quality of subscores. The method is based on the classical test theory and deems a subscore to be of added value if the subscore predicts the corresponding true subscore better than does the total score. Sinharay provided an interpretation of the added…
Descriptors: Scores, Value Added Models, Raw Scores, Item Response Theory
Brinkman, Sally Anne; Hasan, Amer; Jung, Haeil; Kinnell, Angela; Nakajima, Nozomi; Pradhan, Menno – European Early Childhood Education Research Journal, 2017
This article examines the relationship between preschool quality and children's early development in a sample of over 7900 children enrolled in 578 preschools in rural Indonesia. Quality was measured by: (1) classroom observations using the Early Childhood Environment Rating Scale-Revised (ECERS-R); (2) teacher characteristics; and (3) structural…
Descriptors: Role, Educational Quality, Child Development, Error of Measurement
Quinn, David M. – Educational Evaluation and Policy Analysis, 2015
The estimation of racial test score gap trends plays an important role in monitoring educational equality. Documenting gap trends is complex, however, and estimates can differ depending on the metric, modeling strategy, and psychometric assumptions. The sensitivity of summer learning gap estimates to these factors has been under-examined. Using…
Descriptors: Racial Differences, Scores, Achievement Gap, Trend Analysis
Moses, Tim – ETS Research Report Series, 2013
The purpose of this report is to review ETS psychometric contributions that focus on test scores. Two major sections review contributions based on assessing test scores' measurement characteristics and other contributions about using test scores as predictors in correlational and regression relationships. An additional section reviews additional…
Descriptors: Psychometrics, Scores, Correlation, Regression (Statistics)
Shear, Benjamin R.; Zumbo, Bruno D. – Educational and Psychological Measurement, 2013
Type I error rates in multiple regression, and hence the chance for false positive research findings, can be drastically inflated when multiple regression models are used to analyze data that contain random measurement error. This article shows the potential for inflated Type I error rates in commonly encountered scenarios and provides new…
Descriptors: Error of Measurement, Multiple Regression Analysis, Data Analysis, Computer Simulation
Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
Moses, Tim – Journal of Educational Measurement, 2012
The focus of this paper is assessing the impact of measurement errors on the prediction error of an observed-score regression. Measures are presented and described for decomposing the linear regression's prediction error variance into parts attributable to the true score variance and the error variances of the dependent variable and the predictor…
Descriptors: Error of Measurement, Prediction, Regression (Statistics), True Scores
Gorad, Stephen; Hordosy, Rita; Siddiqui, Nadia – International Education Studies, 2013
This paper re-considers the widespread use of value-added approaches to estimate school "effects", and shows the results to be very unstable over time. The paper uses as an example the contextualised value-added scores of all secondary schools in England. The study asks how many schools with at least 99% of their pupils included in the…
Descriptors: Foreign Countries, Outcomes of Education, Secondary Education, Educational Testing
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Interval estimation of intraclass correlation coefficients in hierarchical designs is discussed within a latent variable modeling framework. A method accomplishing this aim is outlined, which is applicable in two-level studies where participants (or generally lower-order units) are clustered within higher-order units. The procedure can also be…
Descriptors: Correlation, Models, Vertical Organization, Predictor Variables
Bentler, Peter M.; Yuan, Ke-Hai – Psychometrika, 2011
Indefinite symmetric matrices that are estimates of positive-definite population matrices occur in a variety of contexts such as correlation matrices computed from pairwise present missing data and multinormal based methods for discretized variables. This note describes a methodology for scaling selected off-diagonal rows and columns of such a…
Descriptors: Scaling, Factor Analysis, Correlation, Predictor Variables
Curran-Everett, Douglas – Advances in Physiology Education, 2011
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This seventh installment of "Explorations in Statistics" explores regression, a technique that estimates the nature of the relationship between two things for which we may only surmise a mechanistic or predictive…
Descriptors: Regression (Statistics), Statistics, Models, Correlation