Interpreting the parameters of a multidimensional Rasch model

W Wang; M Wilson; Ray J Adams

Interpreting the parameters of a multidimensional Rasch model

W Wang, M Wilson, Ray J Adams

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This chapter introduces the multidimensional random coefficient multinomial logit model (MRCML) which can be applied to multidimensional polytomous test items. Two examples of real data analyses are followed to demonstrates the applications of the MRCML. A detailed discussion is made of interpretation of item parameters, in comparision to those derived from their corresponding unidimensional Rasch measurement models. Finally, it provides some guidelines for constructing scoring matrices and the corresponding models to aid parameter interpretation.

Original language	English
Title of host publication	Objective measurement : theory into practice
Publication status	Published - 2000
Externally published	Yes

Keywords

Grading
Item response theory
Models
Multidimensional scaling
Rasch model
Test items
Test theory

Disciplines

Educational Assessment, Evaluation, and Research

Cite this

@inbook{bac2f5c9d80e4ee383e84a53a76a1b97,

title = "Interpreting the parameters of a multidimensional Rasch model",

abstract = " This chapter introduces the multidimensional random coefficient multinomial logit model (MRCML) which can be applied to multidimensional polytomous test items. Two examples of real data analyses are followed to demonstrates the applications of the MRCML. A detailed discussion is made of interpretation of item parameters, in comparision to those derived from their corresponding unidimensional Rasch measurement models. Finally, it provides some guidelines for constructing scoring matrices and the corresponding models to aid parameter interpretation.",

keywords = "Grading, Item response theory, Models, Multidimensional scaling, Rasch model, Test items, Test theory",

author = "W Wang and M Wilson and Adams, {Ray J}",

year = "2000",

language = "English",

booktitle = "Objective measurement : theory into practice",

}

TY - CHAP

T1 - Interpreting the parameters of a multidimensional Rasch model

AU - Wang, W

AU - Wilson, M

AU - Adams, Ray J

PY - 2000

Y1 - 2000

N2 - This chapter introduces the multidimensional random coefficient multinomial logit model (MRCML) which can be applied to multidimensional polytomous test items. Two examples of real data analyses are followed to demonstrates the applications of the MRCML. A detailed discussion is made of interpretation of item parameters, in comparision to those derived from their corresponding unidimensional Rasch measurement models. Finally, it provides some guidelines for constructing scoring matrices and the corresponding models to aid parameter interpretation.

AB - This chapter introduces the multidimensional random coefficient multinomial logit model (MRCML) which can be applied to multidimensional polytomous test items. Two examples of real data analyses are followed to demonstrates the applications of the MRCML. A detailed discussion is made of interpretation of item parameters, in comparision to those derived from their corresponding unidimensional Rasch measurement models. Finally, it provides some guidelines for constructing scoring matrices and the corresponding models to aid parameter interpretation.

KW - Grading

KW - Item response theory

KW - Models

KW - Multidimensional scaling

KW - Rasch model

KW - Test items

KW - Test theory

M3 - Chapter

BT - Objective measurement : theory into practice

ER -