Masoud Geramipour; Maryam Moghadasin; Reyhaneh Rezazadeh
Abstract
Math skills include different content and cognitive processes domains which indicate the complexity of math skill and its latent traits. Until now, Study of these complexities has been done through traditional data analysis or subjective methods. Therefore, present research studied cognitive dimensions ...
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Math skills include different content and cognitive processes domains which indicate the complexity of math skill and its latent traits. Until now, Study of these complexities has been done through traditional data analysis or subjective methods. Therefore, present research studied cognitive dimensions and latent variables of the math test of national university entrance examination through the application of Latent Class Multidimensional Item Response Theory (LCMIRT). In doing so, the math test data of national examinations in 2008, 2011 and 2015 were studied. Results showed that the math test, as a high stakes test in the national university entrance examination, encompasses a set of multidimensional cognitive traits. Results of the unified parallel analysis method showed that the tests do not fit with the unidimensional model and adding additional dimensions can significantly improve model fit. Moreover, cognitive domains of comprehension, problem solving and reasoning were recognized as three essential constructs which account for math skills and give more detailed information about items quality in clustering and analysis of the test items. This property of LCMIRT, in comparison with other approaches, increases the number of cognitive sub-clusters. At last, it is recommended that LCMIRT models are considered in constructing and analyzing educational and psychological tests, in order to more validly detect latent cognitive skills of the tests.
Abstract
Computerized adaptive testing (CAT) is a testing procedure that can result in improved precision for a specified test length or reduced test length with no loss of precision. But, for computerized adaptive tests (CATs) to work well, they must have an item pool with sufficient numbers of good quality ...
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Computerized adaptive testing (CAT) is a testing procedure that can result in improved precision for a specified test length or reduced test length with no loss of precision. But, for computerized adaptive tests (CATs) to work well, they must have an item pool with sufficient numbers of good quality items. Many researchers have pointed out that, in developing item pool for CATs, not only is the item pool size is important, but also the distribution of item parameters. Yet, there is little research on how to identify those desirable features. This paper applied and extended the basic idea of the “bin-and-union” method proposed by Reckase (2003),- which is a Monte Carlo method to determine the properties of an optimal item pool-, and mathematical programming method to develop the optimal item pool for a mathematic operational CAT. This study extended the method for designing item pools calibrated with the three-parameter logistic model and applied it to situations where the Sympson-Hetter procedure is used to control the item exposure rate. The designs include estimates of desired item pool size and item parameter distribution. The design process includes identifying a series of candidate item pool features by taking into consideration multiple factors that may affect the desired features of the item pool. The performance of the simulated item pools has been compared with operational item pool by considering some evaluation criteria. The result of evaluation indicated that the mechanism used to identify the desirable item pool features has functioned well and appropriate for identifying a desirable item pool features of mathematic operational CAT.
Abstract
The Study Factor Structure of a Persian Version of the State-Trait Anger Expression Inventory-2 Child and Adolescent (STAXI-2 C/A) in Iranian sample AbstractThe aim of the present study is the investigation of the factor structure of State-Trait Anger Expression Inventory -2 Child and Adolescent (STAXI-2 ...
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The Study Factor Structure of a Persian Version of the State-Trait Anger Expression Inventory-2 Child and Adolescent (STAXI-2 C/A) in Iranian sample AbstractThe aim of the present study is the investigation of the factor structure of State-Trait Anger Expression Inventory -2 Child and Adolescent (STAXI-2 C/A). The inventory has been investigated by considering a sample of Iranian students aged 12 to 17. After preparing questionnaire, firstly, it has been translated to Persian language and then retranslated to original language. Then it has been carried out on 556 male and female high- School and junior- high –school students in Tehran. The results of study indicate that the seven factors including Anger Feeling, Anger-Expression (vocabulary, physical), Anger-Temperament, Anger-Reaction, Anger Expression-Out, Anger Expression-In, and Anger Control were confirmed in Iranian sample. In general, these findings support the construct validity of (STAXI-2 C/A) among a sample of Iranian students.Keywords: Exploratory factor analysis, confirmatory factor analysis, State-Trait anger, Expression anger, Child and Adolescent
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.
maryam moghadasin; mohamadali Asghari Moghaddam
Volume 1, Issue 4 , July 2011, , Pages 1-42
Abstract
Abstract
This paper examines the structure factor (Confirmatory) of a Persian Version of the State-Trait Anger Expression Inventory-2 (STAXI-2) in Iranian Clinical Sample. Sampel of this study consisted of 553 patients that referred to two psychiatric clinic in Tehran city between 86 - 89 years, ...
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Abstract
This paper examines the structure factor (Confirmatory) of a Persian Version of the State-Trait Anger Expression Inventory-2 (STAXI-2) in Iranian Clinical Sample. Sampel of this study consisted of 553 patients that referred to two psychiatric clinic in Tehran city between 86 - 89 years, (178 males and 375 females) between 17 - 66 years with the diagnostic group that were classified; anxiety disorders, mood disorders, obsessive-compulsive disorders, personality disorders, impulsive control disorder and phobia disorder with convenient sampling. After data collection, data were analyzed by Exploratory and confirmatory factor analysis, in the end, a questionnaire consisting of 48 item with five scales and four subscales; (the State Anger (internal state and external state), Trait Anger (Angry temperament and Angry reaction), Anger Expression-Out, Anger Expression-In and Anger Control) were excluded as the final questionnaire. Significantly differences were obtained in the factor structure of Iranian and American samples. In section of Stait - anger instead of three subscales-feeling of anger, verbal expression of anger and physical expression of anger, extrated the internal state and external state subscale. In section of trait anger by eliminating the 19 item was confirmed angry temperament and the angry reaction subscales. In section of Expression of anger, two scales of Anger Control – out and Anger Control –In loading on a first factor as Anger Control. Three item of anger Expression-Out and five item of anger Expression-In eliminated due to poor psychometrics characteristics and loading on the irrelevant factor.Relatively stable factor structure were obtained for men and women with the exception of differences on the Anger Expression-In scale.
