نتایج جستجو برای: multifaceted Rasch measurement (MFRM)
تعداد نتایج: 454516 فیلتر نتایج به سال:
The purpose of this two-part paper is to introduce researchers to the many-facet Rasch measurement (MFRM) approach for detecting and measuring rater effects. The researcher will learn how to use the Facets (Linacre, 2001) computer program to study five effects: leniency/severity, central tendency, randomness, halo, and differential leniency/severity. Part 1 of the paper provides critical backgr...
This paper describes how a Many Faceted Rasch Measurement (MFRM) approach can be applied to performance assessment focusing on rater analysis. The article provides an introduction to MFRM, a description of MFRM analysis procedures, and an example to illustrate how to examine the effects of various sources of variability on test takers’ performance on a writing test by means of a MFRM analysis. ...
This chapter provides an introductory overview of many-facet Rasch measurement (MFRM). Broadly speaking, MFRM refers to a class of measurement models that extend the basic Rasch model by incorporating more variables (or facets) than the two that are typically included in a test (i.e., examinees and items), such as raters, scoring criteria, and tasks. Throughout the chapter, a sample of rating d...
Abstract Summary writing is essential for academic success, and has attracted renewed interest in research large-scale language test. However, less attention been paid to the development evaluation of scoring scales summary writing. This study reports on validation a rubric that represented an approach scale with limited resources out consideration practicality. Participants were 83 students th...
The present study consists in the analysis of the responses of 485 high school Italian students to the items of the Intellectual Achievement Responsibility questionnaire (IAR; Crandall, Katkovsky, & Crandall, 1965) in view of the definition of a new form of the scale. The Italian version by Nigro and Galli (1988) was applied to the participants. The data were analyzed by means of the Many-Facet...
the present study investigated construct equivalence of multiple choice (mc) and constructed response (cr) item types across stem and content equivalent mc and cr items (item type ‘a’), non-stem-equivalent but content equivalent mc and cr items (item type ‘b’), and non-stem and non-content equivalent mc and cr items (item type ‘c’). one hundred seventy english-major undergraduates completed mc ...
The application of Multifaceted Rasch Measurement (MFRM) in rating test takers’ oral language proficiency has been investigated in some previous studies (e.g., Winke, Gass, & Myford, 2012). However, little research so far has ever documented the effect of test takers’ genders on their oral performances and few studies have investigated the relationship between the impact of raters’ gender on th...
Objective. To assess the multiple mini-interview (MMI) as an admission tool for a satellite campus. Methods. In 2013, the MMI was implemented as part of a new admissions model at the UNC Eshelman School of Pharmacy. From fall 2013 to spring 2015, 73 candidates were interviewed by 15 raters on the satellite campus in Asheville, North Carolina. A many-facet Rasch measurement (MFRM) with three fac...
The present study aimed at the definition of a latent measurement dimension underlying an implicit measure of automatic associations between the concept of mental illness and the psychosocial and biogenetic causal explanatory attributes. To this end, an Implicit Association Test (IAT) assessing the association between the Mental Illness and Physical Illness target categories to the Psychologica...
Objective. To assess the multiple mini-interview (MMI) as an admission tool for a satellite campus. Methods. In 2013, the MMI was implemented as part of a new admissions model at the UNC Eshelman School of Pharmacy. From fall 2013 to spring 2015, 73 candidates were interviewed by 15 raters on the satellite campus in Asheville, North Carolina. A many-facet Rasch measurement (MFRM) with three fac...
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