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Carpentras, Dino; Quayle, Michael – International Journal of Social Research Methodology, 2023
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by 'psychometric…
Descriptors: Psychometrics, Error of Measurement, Models, Prediction
van der Linden, Wim J. – Journal of Educational and Behavioral Statistics, 2019
Lord's (1980) equity theorem claims observed-score equating to be possible only when two test forms are perfectly reliable or strictly parallel. An analysis of its proof reveals use of an incorrect statistical assumption. The assumption does not invalidate the theorem itself though, which can be shown to follow directly from the discrete nature of…
Descriptors: Equated Scores, Testing Problems, Item Response Theory, Evaluation Methods
Simpson, Adrian – Educational Researcher, 2019
A recent paper uses Bayes factors to argue a large minority of rigorous, large-scale education RCTs are "uninformative." The definition of "uninformative" depends on the authors' hypothesis choices for calculating Bayes factors. These arguably overadjust for effect size inflation and involve a fixed prior distribution,…
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Educational Research, Program Evaluation
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
Ladd, Helen F.; Lauen, Douglas L. – Journal of Policy Analysis and Management, 2010
Although the federal No Child Left Behind program judges the effectiveness of schools based on their students' achievement status, many policy analysts argue that schools should be measured, instead, by their students' achievement growth. Using a 10-year student-level panel data set from North Carolina, we examine how school-specific pressure…
Descriptors: Federal Legislation, Reading Achievement, Achievement Gains, Academic Achievement
Andrews, Mark; Vigliocco, Gabriella; Vinson, David – Psychological Review, 2009
The authors identify 2 major types of statistical data from which semantic representations can be learned. These are denoted as "experiential data" and "distributional data". Experiential data are derived by way of experience with the physical world and comprise the sensory-motor data obtained through sense receptors. Distributional data, by…
Descriptors: Semantics, Written Language, Statistical Distributions, Statistical Data
Ruscio, John; Ruscio, Ayelet Meron; Meron, Mati – Multivariate Behavioral Research, 2007
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap…
Descriptors: Sampling, Equated Scores, Data Interpretation, Inferences
Daley, Glenn; Kim, Lydia – National Institute for Excellence in Teaching, 2010
Status quo approaches to teacher evaluation have recently come under increasing criticism. They typically assign most teachers the highest available score, provide minimal feedback for improvement, and have little connection with student achievement growth and the quality of instruction that leads to higher student growth. A more comprehensive…
Descriptors: Feedback (Response), Teacher Effectiveness, Teacher Evaluation, Academic Achievement
Oshima, T. C.; Davey, T. C. – 1994
This paper evaluated multidimensional linking procedures with which multidimensional test data from two separate calibrations were put on a common scale. Data were simulated with known ability distributions varying on two factors which made linking necessary: mean vector differences and variance-covariance (v-c) matrix differences. After the…
Descriptors: Ability, Estimation (Mathematics), Evaluation Methods, Matrices

Piedmont, Ralph L.; Hyland, Michael E. – Educational and Psychological Measurement, 1993
The use of mean inter-item correlation as a technique for examining homogeneity is proposed as a descriptive tool that can orient researchers to salient aspects of their scales. A study of 341 undergraduates who completed the NEO Personality Inventory illustrates the technique. (SLD)
Descriptors: Correlation, Evaluation Methods, Higher Education, Personality Measures

Berry, Linda; Brown, Marilyn A. – Evaluation and Program Planning, 1995
In many evaluations, presenting probability distributions of cost-effectiveness results offers a convenient way to show the likelihood of various conclusions given the uncertainties in the inputs. The techniques presented in this paper should be useful for many programs characterized by controversy over perspectives, assumptions, and dollar…
Descriptors: Cost Effectiveness, Energy Conservation, Evaluation Methods, Probability
Thomas, Neal – 1993
Mislevy (1984, 1985) introduced an EM algorithm for estimating the parameters of a latent distribution model that is used extensively by the National Assessment of Educational Progress. Second order asymptotic corrections are derived and applied along with more common first order asymptotic corrections to approximate the expectations required by…
Descriptors: Algorithms, Elementary Secondary Education, Estimation (Mathematics), Evaluation Methods

Keselman, H. J.; Cribbie, Robert; Zumbo, Bruno D. – Journal of Experimental Education, 1997
Nonparametric and robust statistics (those using trimmed means and Winsorized variances) were compared for their ability to detect treatment effects in the two-sample case. The use of two specialized tests, designed to be sensitive to treatment effects when data distributions are skewed to the right, is not supported by the analyses. (SLD)
Descriptors: Evaluation Methods, Identification, Intervention, Nonparametric Statistics

Bloxom, Bruce; And Others – Journal of Educational and Behavioral Statistics, 1995
Develops and evaluates the linkage of the Armed Services Vocational Aptitude Battery to the mathematics scale of the National Assessment of Educational Progress. The accuracy of the proficiency distribution estimated from the projection was close to the accuracy of the distribution estimated from the large scale assessment. (SLD)
Descriptors: Educational Assessment, Estimation (Mathematics), Evaluation Methods, Mathematics Tests

Gregson, Robert A. M. – Psychometrika, 1994
The derivation of the variance of similarity judgments is made from the 3-D process in nonlinear psychophysics. The idea of separability of dimensions in metric space theories of similarity is replaced by one parameter that represents the degree of a form of interdimensional cross-sampling. (SLD)
Descriptors: Decision Making, Equations (Mathematics), Evaluation Methods, Models
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