The DINA model as a constrained general diagnostic model: Two variants of a model equivalency

2013 ◽  
Vol 67 (1) ◽  
pp. 49-71 ◽  
Author(s):  
Matthias von Davier
Keyword(s):  
Diagnostic Model ◽  
Dina Model ◽  
General Diagnostic Model

scholarly journals EQUIVALENCY OF THE DINA MODEL AND A CONSTRAINED GENERAL DIAGNOSTIC MODEL

2011 ◽  
Vol 2011 (2) ◽  
pp. i-10 ◽  
Author(s):  
Matthias von Davier
Keyword(s):  
Diagnostic Model ◽  
Dina Model ◽  
General Diagnostic Model

Adaptive Testing Using a General Diagnostic Model

2016 ◽  
pp. 331-339 ◽  
Author(s):  
Jill-Jênn Vie ◽  
Fabrice Popineau ◽  
Yolaine Bourda ◽  
Éric Bruillard
Keyword(s):  
Adaptive Testing ◽  
Diagnostic Model ◽  
General Diagnostic Model

Grain Size and Parameter Recovery with TIMSS and the General Diagnostic Model

2016 ◽  
Vol 16 (4) ◽  
pp. 310-330 ◽  
Author(s):  
Gary Skaggs ◽  
Jesse L. M. Wilkins ◽  
Serge F. Hein
Keyword(s):  
Grain Size ◽  
Diagnostic Model ◽  
Parameter Recovery ◽  
General Diagnostic Model

scholarly journals A GENERAL DIAGNOSTIC MODEL APPLIED TO LANGUAGE TESTING DATA

2005 ◽  
Vol 2005 (2) ◽  
pp. i-35 ◽  
Author(s):  
Matthias von Davier
Keyword(s):  
Language Testing ◽  
Diagnostic Model ◽  
Testing Data ◽  
General Diagnostic Model

scholarly journals A diagnosis of difficulties in answering questions of circle material on junior high school students

2019 ◽  
Vol 23 (2) ◽  
pp. 144-155
Author(s):  
Minhajjul Abidin ◽  
Heri Retnawati
Keyword(s):  
High School ◽  
High School Students ◽  
Diagnostic Test ◽  
Junior High School ◽  
Junior High ◽  
Sampling Technique ◽  
Field Testing ◽  
Diagnostic Model ◽  
School Students ◽  
Dina Model

This research is aimed at describing (1) the characteristics of items about a diagnostic test of circle material in mathematics, (2) how significant the percentage of students' types of errors in answering the questions, and (3) the diagnosis of students' difficulties in answering the questions based on DINA model. This research is quantitative descriptive research involving eighth graders of junior high school in East Lombok regency as the population. The sample was chosen by a proportionate random sampling technique, consisting of 105 students for preliminary field testing and 416 students for main field testing. The instrument of this study was a diagnostic test using a four-option multiple-choice format. Data on students' responses were analyzed using the R program with CDM (Cognitive Diagnostic Model) DINA model, which requires underlying attributes for each item. The results show that: (1) the diagnostic test instrument had met the qualitative and quantitative content validity; (2) the percentage of students' answers retrieved from the conceptual error is 18.47%, 9.99% is interpretation error, the procedural error is 7.80%, and counting error is 14.57%; (3) based on the results of the analysis with DINA model, students' error in answering the questions of the circle material in mathematics are dominantly caused by students' lack of mastery on solving problems associated to the circumference of a circle, that is, (A28) the ability to calculate the length of a path, and (A29) the ability to calculate many rounds on wheels.

scholarly journals USING THE GENERAL DIAGNOSTIC MODEL TO MEASURE LEARNING AND CHANGE IN A LONGITUDINAL LARGE-SCALE ASSESSMENT

2009 ◽  
Vol 2009 (2) ◽  
pp. i-22 ◽  
Author(s):  
Matthias von Davier ◽  
Xueli Xu ◽  
Claus H. Carstensen
Keyword(s):  
Large Scale ◽  
Diagnostic Model ◽  
Large Scale Assessment ◽  
Scale Assessment ◽  
General Diagnostic Model ◽  
Learning And Change
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