Results 91 to 100 of about 1,099 (177)

A Comparison of Latent Class Analysis and the Mixture Rasch Model: A Cross-Cultural Comparison of 8th Grade Mathematics Achievement in the Fourth International Mathematics and Science Study (TIMSS-2011)

, 2016
This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study - 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics ...
Toker, Turker
core  

Comparing Different Approaches of (Not) Accounting for Rapid Guessing in Plausible Values Estimation. [PDF]

Educ Psychol Meas
Welling J, Zink E, Gnambs T.
europepmc   +1 more source

Applying Bayesian checks of cancellation axioms for interval scaling in limited samples. [PDF]

Behav Res Methods
Student SR, Read WS.
europepmc   +1 more source

Increase of Uncertainty in Summed-Score-Based Scoring in Non-Rasch IRT. [PDF]

Appl Psychol Meas
Segawa E.
europepmc   +1 more source

Application of the Rasch measurement model in rehabilitation research and practice: early developments, current practice, and future challenges. [PDF]

Front Rehabil Sci, 2023
Tennant A, Küçükdeveci AA.
europepmc   +1 more source

Rasch models to assess the impact of lack of measurement invariance and reveal hidden differences in anxiety and depression between groups and over time in patients with early-stage melanoma or breast cancer using the RespOnse Shift ALgorithm at the Item level (ROSALI). [PDF]

BMC Med Res Methodol
Dubuy Y, Blanchin M, Perrot B, Bourdon M, Sébille V.   +4 more
europepmc   +1 more source

A Two-Step Method Based on lz* for Identifying Effortful Respondents. [PDF]

J Intell
Chen Y, Liu Y, Liu H.
europepmc   +1 more source

Markov Chain Monte Carlo Estimation of Normal Ogive IRT Models in MATLAB

Modeling the interaction between persons and items at the item level for binary response data, item response theory (IRT) models have been found useful in a wide variety of applications in various fields. This paper provides the requisite information and
Yanyan Sheng
core  

Modeling Missing at Random Neuropsychological Test Scores Using a Mixture of Binomial Product Experts. [PDF]

Psychometrika
Suen D, Chen YC.
europepmc   +1 more source

The No-U-Turn sampler and its mixture-modeling revision for the 4-parameter normal ogive model. [PDF]

Front Psychol
Guo S, Sun Q, Li X.
europepmc   +1 more source