Abstract
Cognitive Diagnostic Models (CDMs), are confirmative multidimensional latent variable models , with complex structure . In this study,Cognitive Diagnostic Models (CDMs) were used to check the status of first grade high school students in mathematics. Cognitive diagnostic assessment was administered based ...
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Cognitive Diagnostic Models (CDMs), are confirmative multidimensional latent variable models , with complex structure . In this study,Cognitive Diagnostic Models (CDMs) were used to check the status of first grade high school students in mathematics. Cognitive diagnostic assessment was administered based on eight main characters, consisting of 32 questions on a sample of 509 students, selected from students of Tehran based on a multi-stage cluster sampling. IRT models where used to determine the psychometric properties of the questions .Data analysis by using the DINA model in mathematics, showed that eight attribute explain the mathematics performance of first grade high school students. Results showed that the subjects were only mastered in one of the attributes and the least proportion of mastery was related to definition comprehension skills (0.494), mathematics advanced operations ( 0.498) and using learning in real problems. Keywords : Cognitive Diagnostic Models (CDMs) , Cognitive Diagnostic Assessment , Mathematics
maryam moghadasin; mohammad reza falsafi nejhad
Volume 3, Issue 10 , January 2013, , Pages 103-138
Abstract
Two important objectives for measuring the variable in behavioral an dcomplex causal relationships between variables. Beasurement asks about what is measured by observed variables ? and how ew can determine the validity and reliability of variables? The latter responds to this question: since the variables ...
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Two important objectives for measuring the variable in behavioral an dcomplex causal relationships between variables. Beasurement asks about what is measured by observed variables ? and how ew can determine the validity and reliability of variables? The latter responds to this question: since the variables are not directly observable and measurable and only reflected in observed variables with measurement error how complex causal relatonships between these variables can be inferred? How the relationships between latent variables can be measured? In response to these kinds of question are evaluated by the measurement model and that of the second one are evaluated by the structural function model.
jalil younesi; ali delavar; mohammad reza falsafi nejhad
Volume 1, Issue 2 , January 2011, , Pages 139-169
Abstract
This study aims to investigate the psychometric characteristics of specialized items of distance education psychology examinations held by Payame Noor University in 2006. To do this, 2000-subject sample was randomly selected from among all those sitting for the distance education psychology exam. Then, ...
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This study aims to investigate the psychometric characteristics of specialized items of distance education psychology examinations held by Payame Noor University in 2006. To do this, 2000-subject sample was randomly selected from among all those sitting for the distance education psychology exam. Then, the sample group was randomly divided into two 1000-subject groups; one of which was used for parameter estimation, and the other for testing model-data fit. In order to analyze the test and its items based on the classical test theory (CTT), in addition to calculating frequency distribution of distracters, items variance, difficulty index, discrimination index and reliability coefficient of the test were computed. In order to analyze the test and its items based on the item- response theory (IRT), assumptions of unidimensionality and local independence were first examined. In this piece of research, in order to determine unidimensionality, all specialized psychology exams were studied in terms of factor analysis by TESTFACT Program. Results of the analyses of the above exams suggested that all of them are unidimensional, and therefore local independence assumptions are verified. Model-data fit was explored by means of BILOG-MG software, and finally, items' parameters (difficulty, discrimination and guessing) estimated along with subjects' ability parameters were extracted. Distracters' analysis showed that all items' distracters were not homogeneous in terms of probability and have had poor performance. It also indicated that in psychology and sociology exams, two-parameter model, and in philosophy exam, three- parameter model were best fit for test items. At the same time, despite the fact that mean of all exams was lower than the criterion score, it seems that the difficulties in the subject of philosophy have been more and this exam had more impact on the subjects' academic failure.
