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Bartolucci, Francesco; Pennoni, Fulvia; Vittadini, Giorgio – Journal of Educational and Behavioral Statistics, 2023
In order to evaluate the effect of a policy or treatment with pre- and post-treatment outcomes, we propose an approach based on a transition model, which may be applied with multivariate outcomes and accounts for unobserved heterogeneity. This model is based on potential versions of discrete latent variables representing the individual…
Descriptors: Causal Models, Multivariate Analysis, Markov Processes, Human Capital
Gurkan, Gulsah; Benjamini, Yoav; Braun, Henry – Large-scale Assessments in Education, 2021
Employing nested sequences of models is a common practice when exploring the extent to which one set of variables mediates the impact of another set. Such an analysis in the context of logistic regression models confronts two challenges: (1) direct comparisons of coefficients across models are generally biased due to the changes in scale that…
Descriptors: Statistical Inference, Regression (Statistics), Adults, Models
Hofman, Abe D.; Brinkhuis, Matthieu J. S.; Bolsinova, Maria; Klaiber, Jonathan; Maris, Gunter; van der Maas, Han L. J. – Journal of Intelligence, 2020
One of the highest ambitions in educational technology is the move towards personalized learning. To this end, computerized adaptive learning (CAL) systems are developed. A popular method to track the development of student ability and item difficulty, in CAL systems, is the Elo Rating System (ERS). The ERS allows for dynamic model parameters by…
Descriptors: Teaching Methods, Computer Assisted Instruction, Difficulty Level, Individualized Instruction
Kim, Donghoh; Kim, Se-Kang; Park, Soyeon – Universal Journal of Educational Research, 2015
Recently, MDS has been utilized to identify and evaluate cognitive ability latent profiles in a population. However, dimension coordinates do not carry any statistical properties. To cope with statistical incompetence of MDS, we investigated the common aspects of various studies utilizing bootstrapping, and provided an R function for its…
Descriptors: Multidimensional Scaling, Sampling, Statistical Inference, Cognitive Ability
Kim, Se-Kang – International Journal of Testing, 2010
The aim of the current study is to validate the invariance of major profile patterns derived from multidimensional scaling (MDS) by bootstrapping. Profile Analysis via Multidimensional Scaling (PAMS) was employed to obtain profiles and bootstrapping was used to construct the sampling distributions of the profile coordinates and the empirical…
Descriptors: Intervals, Multidimensional Scaling, Profiles, Evaluation
Winneke, Gerhard; Walkowiak, Jens; Kramer, Ursula – Psychology in the Schools, 2004
This paper comments on a critical review of cohort studies on PCB-related neurodevelopmental deficit in young children by D.V. Cicchetti, A.S. Kaufman, and S.S. Sparrow (CKS). Major points of criticism of CKS, namely alleged violation of statistical principles, presumed lack of clinical significance of findings, and alleged insufficient control of…
Descriptors: Epidemiology, Criticism, Statistical Inference, Validity

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