Item response theory
This review introduces classical item response theory (IRT) models as well as more
contemporary extensions to the case of multilevel, multidimensional, and mixtures of …
contemporary extensions to the case of multilevel, multidimensional, and mixtures of …
[HTML][HTML] The 'Maltreatment and Abuse Chronology of Exposure'(MACE) scale for the retrospective assessment of abuse and neglect during development
MH Teicher, A Parigger - PLoS one, 2015 - journals.plos.org
There is increasing interest in childhood maltreatment as a potent stimulus that may alter
trajectories of brain development, induce epigenetic modifications and enhance risk for …
trajectories of brain development, induce epigenetic modifications and enhance risk for …
[图书][B] Using R for item response theory model applications
I Paek, K Cole - 2019 - books.google.com
Item response theory (IRT) is widely used in education and psychology and is expanding its
applications to other social science areas, medical research, and business as well. Using R …
applications to other social science areas, medical research, and business as well. Using R …
Contingency table analysis
M Kateri - Statistics for Industry and Technology, 2014 - Springer
The focus of this book is on models for contingency table analysis. It deals mainly with log-
linear models and special models for ordinal data (log-linear or nonlinear). Special models …
linear models and special models for ordinal data (log-linear or nonlinear). Special models …
Many-facet Rasch measurement: Implications for rater-mediated language assessment
T Eckes - Quantitative data analysis for language assessment …, 2019 - taylorfrancis.com
Many-facet Rasch measurement (MFRM) refers to a class of measurement models that
simultaneously consider multiple components or facets involved in rater-mediated …
simultaneously consider multiple components or facets involved in rater-mediated …
[HTML][HTML] Bayesian prior choice in IRT estimation using MCMC and variational Bayes
This study investigated the impact of three prior distributions: matched, standard vague, and
hierarchical in Bayesian estimation parameter recovery in two and one parameter models …
hierarchical in Bayesian estimation parameter recovery in two and one parameter models …
Breaking free from the limitations of classical test theory: Developing and measuring information systems scales using item response theory
Abstract Information systems (IS) research frequently uses survey data to measure the
interplay between technological systems and human beings. Researchers have developed …
interplay between technological systems and human beings. Researchers have developed …
KERF–ein Instrument zur umfassenden Ermittlung belastender Kindheitserfahrungen
D Isele, MH Teicher, M Ruf-Leuschner… - Zeitschrift für …, 2014 - econtent.hogrefe.com
Hintergrund: Belastende Kindheitserfahrungen steigern das Risiko für Psychopathologie
und beeinflussen die Erkrankungsschwere und den Behandlungserfolg. Validierte …
und beeinflussen die Erkrankungsschwere und den Behandlungserfolg. Validierte …
Academic word difficulty and multidimensional lexical sophistication: An English‐for‐academic‐purposes‐focused conceptual replication of Hashimoto and Egbert …
This article presents a conceptual replication of Hashimoto and Egbert (https://doi.
org/10.1111/lang. 12353), a study that featured multivariate models where lexical …
org/10.1111/lang. 12353), a study that featured multivariate models where lexical …
Random forest as an imputation method for education and psychology research: its impact on item fit and difficulty of the Rasch model
This paper presents a non-parametric imputation technique, named random forest, from the
machine learning field. The random forest procedure has two main tuning parameters: the …
machine learning field. The random forest procedure has two main tuning parameters: the …