Somayeh Bahmanabadi; Mohammad reza Falsafinejad; noorali farrokhi; asghar minaei
Abstract
Identification of the consequences of violations of the assumptions of measurement models is a major concern in the field of psychometrics. The purpose of the present study was to investigating the role of test dimensionality violation in equating errors of IRT and classical theory models. Research method ...
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Identification of the consequences of violations of the assumptions of measurement models is a major concern in the field of psychometrics. The purpose of the present study was to investigating the role of test dimensionality violation in equating errors of IRT and classical theory models. Research method was experimental and a 3 × 3 factorial design was used. The study population consisted of all the Mathematical and Technical Sciences Entrance Examiners in 2017 and 2018. The sample group consisted of 5000 examiners who were selected by random sampling. Mathematic test (55 items) was used for equating that three different types of data structure including one-dimensional, two- dimensional and three-dimensional data was generated from it. Data was equated with three equating methods including equipercentile method, true score and observed score equating method. Equating standard errors, bias and root mean square error were used to evaluate the effects of independent variables. To determine the error statistics, the equating results in all three datasets and the three equating methods were repeated 20 times in different samples. Data analysis showed that violation of dimensionality increases equating standard error, bias of equating results and the root mean square error. The bias of equating results in classical methods is more than the IRT methods. The effect of dimensionality violation on equating errors was not different between the classical theory and IRT models.
Asghar Minaei; Marzieh Hassani
Abstract
The Big Five Inventory (BFI) is one of the most widely used personality questionnaires, but very few studies have been conducted on its psychometric properties in Iranian population. This study was carried out with the aim of studying the psychometric properties of the BFI questionnaire. For this purpose, ...
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The Big Five Inventory (BFI) is one of the most widely used personality questionnaires, but very few studies have been conducted on its psychometric properties in Iranian population. This study was carried out with the aim of studying the psychometric properties of the BFI questionnaire. For this purpose, 390 university students in Tehran (210 girls and 180 boys) with an age range of 18 to 56 years (M = 27.52; SD = 8.79) were selected using the convenience sampling method and completed BFI and NEO-FFI questionnaires. Cronbach's alpha, multitrait-multimethod matrix, and confirmatory factor analysis were used to estimate the psychometric properties of the questionnaire. The result of the confirmatory factor analysis showed that 15 of the 44 items did not have a strong factor loading (higher than 0.40) on the corresponding factors and were therefore removed from the questionnaire. The fit indices showed that the Persian version of 29 questions (BFI-29) with 5 factors has a good fit with the data. The reliability analysis also showed that the range of Cronbach's alpha coefficients of the factors is from 0.70 to 0.79. The lowest Cronbach's alpha coefficient was related to agreeableness factor and the highest was related to conscientiousness. The findings from the multitrait-multimethod matrix showed that the BFI-29 questionnaire has good convergent and divergent validity with the NEO-FFI questionnaire. In general, based on the results of the present study, it can be said that the BFI-29 questionnaire has desirable psychometric properties and whenever a short tool for personality measurement is needed, this questionnaire can be used.
hamidreza karami; Masoud gramipour; Asghar Minaei
Abstract
Although rasch tree model analysis has been introduced to identify Bias questions in various tests, little research has been done. The purpose of this study was to use the rasch tree model and to investigate the intervening factors in revealing the differential action of the test questions. To answer ...
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Although rasch tree model analysis has been introduced to identify Bias questions in various tests, little research has been done. The purpose of this study was to use the rasch tree model and to investigate the intervening factors in revealing the differential action of the test questions. To answer the research questions, the method of simulation studies and data of the specific test of Amin University of Law Enforcement Sciences were used. The present research is applied in terms of purpose and descriptive in terms of method called psychometric research. The statistical population of the special exam of Amin University of Law Enforcement Sciences in 1398 with the number of 2414 people has been analyzed in full. The DIFtree package in R software was used to determine the detection rate of the differentiation Item Functioning using the rasch tree model. The results of the simulation study showed that the rasch tree model detects the differentiation Item Functioning in samples with a volume of more than 1000 subjects as 100%. The results also showed that in the specific exam of the University of Law Enforcement Sciences, 9 questions have differentiation Item Functioning, in the most important of which, 7 questions in the mathematics group with 18 years of age (second category) and 6 questions in the mathematics group with 19 years of age (category First) has a bias towards the experimental sciences group (third category) and the orientation of the bias has been in favor of the first and second category and to the detriment of the third category.
Asghar Minaei; marzieh hasani
Abstract
The current study aimed to improve precision and item functioning of the OHQ by applying Rasch analysis to a sample of 212 participants. A convenience sample of 212 college students (139 girls and 78 boys) from a number of universities in Tehran city completed the OHQ questionnaire. Data were analyzed ...
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The current study aimed to improve precision and item functioning of the OHQ by applying Rasch analysis to a sample of 212 participants. A convenience sample of 212 college students (139 girls and 78 boys) from a number of universities in Tehran city completed the OHQ questionnaire. Data were analyzed using Rasch analysis approach using RUMM2030 software. Results indicated that a number of the OHQ items displayed disordered thresholds. Therefore, items were rescored in a uniform fashion to correct the thresholds. Furthermore, three items (18, 19, and 25) displayed poor fit to Rasch model and were removed. Best fit to the unidimensional Rasch model was achieved after rescoring items in uniform fashion and removing items number 18, 19 and 25. Using the ordinal-to-interval conversion tables published here, ordinal OHQ scores can now be transformed to interval level data and thus subjected to parametric statistical analysis without violating fundamental assumptions. The precision of the instrument can be improved significantly by these minor modifications without the need to modify the original response format.
nushravan mohamadi; ali dalavar; noorali farrokhi; asghar minaei
Abstract
The aim of the research was identification of Wechsler intelligence scale for children (WISC-IV) basic attributes based on Cattle- Horn- Carrol (CHC) narrow abilities by using generalized DINA (G-DINA) cognitive diagnostic model. The population of the research was all of Iranian primary school students ...
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The aim of the research was identification of Wechsler intelligence scale for children (WISC-IV) basic attributes based on Cattle- Horn- Carrol (CHC) narrow abilities by using generalized DINA (G-DINA) cognitive diagnostic model. The population of the research was all of Iranian primary school students which randomly 1222 students selected. We use Wechsler intelligence scale for children (WISC-IV) for gathering data. Results show that from the nearly 70 CHC narrow abilities, 9 narrow ability (visualization, induction, working memory, general verbal information, lexical knowledge, flexibility of closure, memory span, language development, general sequential reasoning) Identified as basic attribute of WISC-IV. Also from the constrained models, the LLM model based on Wald statistics was chosen. Additionally, most of student mastered in lexical knowledge and the lowest rate of mastering belongs to flexibility of closure. finally, the probability of guessing parameter in easy items was high and probability of slipping in difficult items was high.
Asghar Minaei; Zahra Ghafari
Abstract
The biggest worry, discussed in tests being inequitable, is the presence of bias possibility or differential functioning. Because bias causes test validity to be suspected and doubted. Objective: In this research differential item functioning on the whole 14 blocks of mathematics tests of TIMSS in grade ...
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The biggest worry, discussed in tests being inequitable, is the presence of bias possibility or differential functioning. Because bias causes test validity to be suspected and doubted. Objective: In this research differential item functioning on the whole 14 blocks of mathematics tests of TIMSS in grade 8 between Iranian girls and boys has been studied using IRT approach. Method: In the order that, first, data have been recoded by SPSS and the assumption of items being unidimensional in all blocks, by NOHARM software have been studied. In the next step the best model that is known as “base model” has been fit for data by BILOG-MG software. In the next process from that base model for studying the items having differential functioning and anchor, IRTLRDIF (Thissen,2001) has been used and at last for final estimation of item and ability parameters, MULTILOG software has been used. Findings show that from 219 items, being studied, of mathematics test in grade 8 of TIMSS 2011, 144 anchor items and 75 items have DIF and items have differential functioning and it is to the loss of girls, the focal group.
Asghar Minaei
Abstract
This research has been carried out with the aim of study psychometric properties of Sampad’s Entrance Tests using Rasch measurement model. In this study, answer sheets of 2872 students(1542 boys and 1330 girls) were selected by means of multistage random sampling. The data were analysed using the ...
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This research has been carried out with the aim of study psychometric properties of Sampad’s Entrance Tests using Rasch measurement model. In this study, answer sheets of 2872 students(1542 boys and 1330 girls) were selected by means of multistage random sampling. The data were analysed using the unidimensional Rasch simple logistic model with Winsteps software . The results revealed that all items of the test showed good model–data fit. The range of items location parameter were -2.48 to 1.83. Also the showed that targeting is not good. On the whole, the findings of this research showed that the Sampad’s Entrance Test does not have good measurement qualities, so should not be used to select students for Talent middle schools.This research has been carried out with the aim of study psychometric properties of Sampad’s Entrance Tests using Rasch measurement model. In this study, answer sheets of 2872 students(1542 boys and 1330 girls) were selected by means of multistage random sampling. The data were analysed using the unidimensional Rasch simple logistic model with Winsteps software . The results revealed that all items of the test showed good model–data fit. The range of items location parameter were -2.48 to 1.83. Also the showed that targeting is not good. On the whole, the findings of this research showed that the Sampad’s Entrance Test does not have good measurement qualities, so should not be used to select students for Talent middle schools.
A Minaie
Abstract
Construct validity of instruments, tests, and scales can be examined using the Rasch Measurement Model (RMM) during their initial construction and validation, or after they have been published. The aim of this study was to examine the construct validity of the Test of Visual-Motor Skills Revised (TVMS ...
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Construct validity of instruments, tests, and scales can be examined using the Rasch Measurement Model (RMM) during their initial construction and validation, or after they have been published. The aim of this study was to examine the construct validity of the Test of Visual-Motor Skills Revised (TVMS R) by applying the RMM to evaluate its scalability, dimensionality, differential item functioning, and hierarchical ordering. The participants included 400 children aged 5 to 12 years, recruited from six schools in the Melbourne metropolitan area, Victoria, Australia. Children completed the TVMS-R under the supervision of an occupational therapist. Overall, 39 out of 142 of the TVMS R scale scoring accuracy classification criteria items exhibited poor measurement properties. As nearly one-third of the scoring classification criteria items were found to be problematic, the TVMS R in its current form is not recommended for clinical use, as it is not consistent with the clinical demands expected of an instrument used to evaluate the visual motor integration skills of children
