The following pages link to (Q4835274):
Displaying 36 items.
- Latent variable modeling of disability in people aged 65 or more (Q261555) (← links)
- Conditional maximum likelihood estimation in polytomous Rasch models using SAS (Q355530) (← links)
- The generalized logit-linear item response model for binary-designed items (Q477952) (← links)
- Bridges between deterministic and probabilistic models for binary data (Q537421) (← links)
- Rasch trees: a new method for detecting differential item functioning in the Rasch model (Q748201) (← links)
- Hierarchical Bayesian modeling for test theory without an answer key (Q748205) (← links)
- Sample size determination within the scope of conditional maximum likelihood estimation with special focus on testing the Rasch model (Q906042) (← links)
- On the relationships between sum score based estimation and joint maximum likelihood estima\-tion (Q946681) (← links)
- Sufficiency and conditional estimation of person parameters in the polytomous Rasch model (Q985438) (← links)
- Numerical integration in logistic-normal models (Q1010503) (← links)
- Identifiability and equivalence of GLLIRM models (Q1029515) (← links)
- Inductive item tree analysis: corrections, improvements, and comparisons (Q1038275) (← links)
- Alternative statistical models and representations for large sparse multi-dimensional contingency tables (Q1432072) (← links)
- An order-preserving property of the maximum likelihood estimates for the Rasch model (Q1812043) (← links)
- How should we assess the fit of Rasch-type models? Approximating the power of goodness-of-fit statistics in categorical data analysis (Q1940986) (← links)
- Nonparametric estimation of the ability density in the mixed-effect Rasch model (Q2199700) (← links)
- Stochastic order in dichotomous item response models for fixed, adaptive, and multidimensional tests (Q2248657) (← links)
- Data, model, conclusion, doing it again (Q2248665) (← links)
- On the loss of information in conditional maximum likelihood estimation of item parameters (Q2250636) (← links)
- Book review of: K. Sijtsma and I. W. Molenaar, Introduction to nonparametric item response modeling (Q2259875) (← links)
- Two interpretations of the discrimination parameter (Q2260021) (← links)
- Exact tests for the Rasch model via sequential importance sampling (Q2260062) (← links)
- Bayesian conditional inference for Rasch models (Q2316733) (← links)
- An analysis of item response theory and Rasch models based on the most probable distribution method (Q2339060) (← links)
- Cultural consensus theory for the ordinal data case (Q2348189) (← links)
- Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items (Q2348194) (← links)
- Assessing the impact of uniform and nonuniform differential item functioning items on Rasch measure: the polytomous case (Q2354740) (← links)
- Analyses of model fit and robustness. A new look at the PISA scaling model underlying ranking of countries according to reading literacy (Q2452298) (← links)
- Nonparametric item response theory axioms and properties under nonlinearity and their exemplification with knowledge space theory (Q2466902) (← links)
- Nonparametric goodness-of-fit tests for the Rasch model (Q2511849) (← links)
- REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction (Q2673351) (← links)
- Social science measurement by means of item response models (Q3297994) (← links)
- Nondecomposable item response theory models: fundamental measurement in psychometrics (Q6134088) (← links)
- E-ReMI: extended maximal interaction two-mode clustering (Q6138122) (← links)
- Generalised calibration with latent variables for the treatment of unit nonresponse in sample surveys (Q6163492) (← links)
- Assessing the performance of the Italian translations of modified MEIM, EIS and FESM scales to measure ethnic identity: a case study (Q6613599) (← links)
