Editorial of the Psych Special Issue “Computational Aspects, Statistical Algorithms and Software in Psychometrics”
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Summary
This research presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and expensive and therefore expensive and expensive process of manually cataloging and cataloging individual cells.
- Type
- article
- Published
- 2022-03-02
- Cited by
- 1
- References
- 32
- Access
- Open access
- OpenAlex
- https://openalex.org/W4214914304
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:247258523
Keywords
Psychometrics, Computer science, Software, Statistical software, Data science
References
- Comparison of Recent Acceleration Techniques for the EM Algorithm in One- and Two-Parameter Logistic IRT Models
- Estimating the Stability of Psychological Dimensions via Bootstrap Exploratory Graph Analysis: A Monte Carlo Simulation and Tutorial
- Automated Test Assembly in R: The eatATA Package
- Evaluating the Observed Log-Likelihood Function in Two-Level Structural Equation Modeling with Missing Data: From Formulas to R Code
- How to Estimate Absolute-Error Components in Structural Equation Models of Generalizability Theory
- Evaluating Cluster-Level Factor Models with lavaan and Mplus
- RALSA: Design and Implementation
- Estimating Explanatory Extensions of Dichotomous and Polytomous Rasch Models: The eirm Package in R
- Using the Effective Sample Size as the Stopping Criterion in Markov Chain Monte Carlo with the Bayes Module in Mplus
- Testing and Interpreting Latent Variable Interactions Using the semTools Package
- cdcatR: An R Package for Cognitive Diagnostic Computerized Adaptive Testing
- Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go?
- Predicting Differences in Model Parameters with Individual Parameter Contribution Regression Using the R Package ipcr
- Flexible Item Response Modeling in R with the flexmet Package
- shinyReCoR: A Shiny Application for Automatically Coding Text Responses Using R
- Analysis of Categorical Data with the R Package confreq
- Modelling Norm Scores with the cNORM Package in R
- Robust Chi-Square in Extreme and Boundary Conditions: Comments on Jak et al. (2021)
- The Theoretical and Statistical Ising Model: A Practical Guide in R
- Bivariate Distributions Underlying Responses to Ordinal Variables
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