Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- ACER ConQuest 3 software (1)
- Assessment (1)
- ConQuest software (1)
- Evaluate (1)
- Item response (1)
-
- Joint maximum likelihood (JML) (1)
- Marginal maximum likelihood (MML) (1)
- Methodology (1)
- Models (1)
- Monte Carlo method (1)
- Monte Carlo simulations (1)
- Multidimensional item response models (1)
- Multilevel item response models (1)
- PISA (1)
- Psychometrics (1)
- Questionnaire design (1)
- Rasch (1)
- Rasch measurement models (1)
- Sample surveys (1)
- Student performance (1)
- Testing (1)
Articles 1 - 3 of 3
Full-Text Articles in Education
On The Use Of Rotated Context Questionnaires In Conjunction With Multilevel Item Response Models, Raymond Adams, Petra Lietz, Alla Berezner
On The Use Of Rotated Context Questionnaires In Conjunction With Multilevel Item Response Models, Raymond Adams, Petra Lietz, Alla Berezner
Professor Ray Adams
Background: While rotated test booklets have been employed in large-scale assessments to increase the content coverage of the assessments, rotation has not yet been applied to the context questionnaires administered to respondents.
Methods: This paper describes the development of a methodology that uses rotated context questionnaires in conjunction with multilevel item response models and plausible values. In order to examine the impact of this methodology on the continuity of the results, PISA 2006 data for nine heterogeneous countries were rescaled after having been restructured to simulate the outcomes of the use of different rotated context questionnaire designs.
Results: Results revealed …
The Estimation Of Polytomous Item Response Models With Many Dimensions, Nikolai Volodin, Ray J. Adams
The Estimation Of Polytomous Item Response Models With Many Dimensions, Nikolai Volodin, Ray J. Adams
Professor Ray Adams
Identification conditions and an improved estimation method for a D-dimensional mixed coefficients multinomial logit model are discussed. This model is a generalisation of the Adams and Wilson (1997) random coefficients multinomial logit and it can be used to fit multdimensional forms of a wide range of Rasch measurement models. The computational demands of the numerical integration required in fitting such models have limited previous implementations to three and perhaps four-dimensional problems (Glas, 1992; Adams, Wilson and Wang, 1997). This paper illustrates a Monte Carlo integration method that permits the estimation of models with much higher dimensionality. The example in this …
Accuracy Of Rasch Model Item Parameter Estimation, Luc T. Le, Ray J. Adams
Accuracy Of Rasch Model Item Parameter Estimation, Luc T. Le, Ray J. Adams
Professor Ray Adams
This study used Monte Carlo simulations to evaluate the item parameter recovery from ACER ConQuest 3 software (Adams, Wu, & Wilson, 2012) for the dichotomous Rasch model. The authors’ primary focus was the comparison of its estimation methods, joint maximum likelihood (JML), marginal maximum likelihood (MML) with a normal distribution assumption and MML with a discrete distributions assumption when the populations were in fact non-normal. The simulation data sets were generated with two test lengths (10 and 50 items) and four alternative true population distributions for the abilities: normal, bimodal, uniform, and chi-square. As expected, results showed that MML-Normal was …