Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 4 |
Descriptor
Error of Measurement | 10 |
Evaluation Methods | 10 |
Statistical Studies | 10 |
Measurement Techniques | 4 |
Research Problems | 4 |
Statistical Analysis | 4 |
Data Analysis | 3 |
Goodness of Fit | 3 |
Sampling | 3 |
Statistical Distributions | 3 |
Comparative Analysis | 2 |
More ▼ |
Source
Carnegie Foundation for the… | 1 |
Centre for the Economics of… | 1 |
Educational and Psychological… | 1 |
Journal of Educational and… | 1 |
National Center for Research… | 1 |
Author
Publication Type
Reports - Evaluative | 4 |
Reports - Research | 4 |
Speeches/Meeting Papers | 4 |
Journal Articles | 2 |
Numerical/Quantitative Data | 1 |
Reports - Descriptive | 1 |
Education Level
Elementary Secondary Education | 2 |
Higher Education | 1 |
Audience
Researchers | 3 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
Longford, Nicholas T. – Journal of Educational and Behavioral Statistics, 2012
Statistical modeling of school effectiveness data was originally motivated by the dissatisfaction with the analysis of (school-leaving) examination results that took no account of the background of the students or regarded each school as an isolated unit of analysis. The application of multilevel analysis was generally regarded as a breakthrough,…
Descriptors: School Effectiveness, Data Analysis, Statistical Analysis, Statistical Studies
Raudenbush, Stephen – Carnegie Foundation for the Advancement of Teaching, 2013
This brief considers the problem of using value-added scores to compare teachers who work in different schools. The author focuses on whether such comparisons can be regarded as fair, or, in statistical language, "unbiased." An unbiased measure does not systematically favor teachers because of the backgrounds of the students they are…
Descriptors: Educational Research, Achievement Gains, Teacher Effectiveness, Comparative Analysis
Moy, Mabel L. Y.; Barcikowski, Robert S. – 1973
Using a computer-based Monte Carlo approach to generate item responses, the results of this study indicate that, when item discrimination indices are considered, item-examinee sampling procedures having the same number of observations have different standard errors in estimating both test mean and test variance. With certain types of tests, a…
Descriptors: Error of Measurement, Evaluation Methods, Item Sampling, Monte Carlo Methods
Morrisson, Christian; Murtin, Fabrice – Centre for the Economics of Education (NJ1), 2009
Global economic transformations have never been as dramatic as in the twentieth century. Most countries have experienced radical changes in the standards of income per capita, technology, fertility, mortality, income inequality and the extent of democracy in the course of the past century. It is the goal of many disciplines--economics, history,…
Descriptors: Economic Development, Educational Attainment, Demography, Global Approach
Olejnik, Stephen F.; Algina, James – 1986
Sampling distributions for ten tests for comparing population variances in a two group design were generated for several combinations of equal and unequal sample sizes, population means, and group variances when distributional forms differed. The ten procedures included: (1) O'Brien's (OB); (2) O'Brien's with adjusted degrees of freedom; (3)…
Descriptors: Error of Measurement, Evaluation Methods, Measurement Techniques, Nonparametric Statistics

Corder-Bolz, Charles R. – Educational and Psychological Measurement, 1978
Six models for evaluating change are examined via a Monte Carlo study. All six models show a lack of power. A modified analysis of variance procedure is suggested as an alternative. (JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Educational Change, Error of Measurement
Bernstein, Lawrence; Burstein, Nancy – 1994
The inherent methodological problem in conducting research at multiple sites is how to best derive an overall estimate of program impact across multiple sites, best being the estimate that minimizes the mean square error, that is, the square of the difference between the observed and true values. An empirical example illustrates the use of the…
Descriptors: Bias, Comprehensive Programs, Data Analysis, Data Collection
Cook, Linda L.; Petersen, Nancy S. – 1986
This paper examines how various equating methods are affected by: (1) sampling error; (2) sample characteristics; and (3) characteristics of anchor test items. It reviews empirical studies that investigated the invariance of equating transformations, and it discusses empirical and simulation studies that focus on how the properties of anchor tests…
Descriptors: Educational Research, Equated Scores, Error of Measurement, Evaluation Methods
Jaeger, Richard M.; Busch, John Christian – 1986
This study explores the use of the modified caution index (MCI) for identifying judges whose patterns of recommendations suggest that their judgments might be based on incomplete information, flawed reasoning, or inattention to their standard-setting tasks. It also examines the effect on test standards and passing rates when the test standards of…
Descriptors: Criterion Referenced Tests, Error of Measurement, Evaluation Methods, High Schools