Ali Moghadam zadeh; Hassan Gharayagh Zandi; Meysam Yavari Kateb
Abstract
Previous studies have shown that Movement Imagery ability is effective in motor performance and learning in sports and rehabilitation. Appropriate inventory for assessment of this ability in adults (e.g. MIQ-3) development and validated in Iran. However, there is currently no standard tool for using ...
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Previous studies have shown that Movement Imagery ability is effective in motor performance and learning in sports and rehabilitation. Appropriate inventory for assessment of this ability in adults (e.g. MIQ-3) development and validated in Iran. However, there is currently no standard tool for using children in Iran. To address this gap, we sought to examine the psychometric properties of the Persian version of imagery ability questionnaire for children (MIQ-C). The statistical population included children from 7 to 12 years old (135 boys, 109 girls) who were selected by random cluster sampling. Results replicated that most items had good discrimination and threshold parameters and high item information values and IRT replicated that all questions have an appropriate coefficient of detection (a) and threshold (b). So the Persian version of the current questionnaire is recommended to measure the Movement Imagery ability to children from 7 to 12 years of age in Persian.
Pouria Rezasoltani; Ebrahim Khodaie; jalil Younesi; Amin Mousavi; Ali Moghadamzade
Abstract
Person fit assessment is useful in ensuring validity and fairness in the use and interpretation of test scores. In this research, applied the H^T person fit statistic to examine response pattern of TIMSS eight grade mathematics test of Australia, Iran, and Republic of Korea. In order to investigate the ...
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Person fit assessment is useful in ensuring validity and fairness in the use and interpretation of test scores. In this research, applied the H^T person fit statistic to examine response pattern of TIMSS eight grade mathematics test of Australia, Iran, and Republic of Korea. In order to investigate the effect of contextual variables on students’ person fit statistic, hierarchical linear modeling was used, due to the hierarchical structure of data. Based on intraclass correlation coefficient, 83.7% of variance of the H^T person fit statistic is at student level, and 16.3% of variance of the H^T person fit statistic is at school and country levels. In addition, according to the hierarchy linear final model between the H^T person fit statistic and factors of students, schools, and countries; only the average of students mathematics achievement in countries, school emphasis on students academic success, students confident in mathematics, and estimate of students ability, are significant factors in the final model.
Somayeh Kaveh; Ebrahim Khodaie; Amin Musavi; Ali Moghadamzadeh; jalil Younesi
Abstract
In order to facilitate the interpretation of raw scores, they are usually converted to scale scores. In some cases, these conversions are a series of nonlinear transformations that can affect the conditional standard error of measurement throughout the scale of score. Therefore, the purpose of this study ...
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In order to facilitate the interpretation of raw scores, they are usually converted to scale scores. In some cases, these conversions are a series of nonlinear transformations that can affect the conditional standard error of measurement throughout the scale of score. Therefore, the purpose of this study was to introduce methods for calculating the conditional standard error of measurement based on the strong true score theory. Furthermore, comparison of normalized and equipercentile nonlinear transformations on the raw scores of the academic achievements of the graduates of mathematical sciences in 2014 and their effect on conditional standard error of measurement was also conducted. So, in order to achieve these purposes, we used a sample of 3943 high school graduates of Mathematics and Physics in 2014 who had participated in national university entrance examination in 2015 randomly selected by National Organization of Educational Testing. The conditional standard error of measurement under these transformations was estimated based on the binomial procedure of Brennan and Lee (1999) and Chang (2006) method based on the beta-binomial distribution. The results of this study indicated that the conditional standard error of measurement of the Chang was smoother than binomial procedure, but in both methods the estimated errors are larger for middle points and smaller for extreme points. Additionally, the conditional standard errors of measurement of equipercentile were always less than normalized tranformation, so the equipercentile method found to be better than normalized transformation.
mohammad ahmadi deh qutbuddini; ebrahim khodai; Valiollah Farzad; ali moghadam zadeh; masoud kabiri
Abstract
The present study has been done with the purpose of investigating the dimensionality and differential item functioning of the testlet-based test of Iran's PIRLS 2011. In order to analyze the dimensionality, graded response and bi-factor item-response theory models were used with full-information maximum ...
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The present study has been done with the purpose of investigating the dimensionality and differential item functioning of the testlet-based test of Iran's PIRLS 2011. In order to analyze the dimensionality, graded response and bi-factor item-response theory models were used with full-information maximum likelihood estimation method and to analyze the differential item functioning multiple-group bi-factor model of Cai et al (2011) was applied. The results of the dimensionality investigation showed that the bi-factor model is better fitted to the data than the graded response model both in Iran's total sample and in boy and girl groups. The results of testlets effect variance showed that effects of second factors on Iranian students' performance in two testlet related to literal comprehension, has caused dimensionality in Iran's PIRLS testlets. The results showed that there was no significant difference in average students' performance of the boy and girl in general latent trait of reading comprehension, but the difference between the average reading proficiency of the boy and the girl in three literal and three informational testlet in favor of girls was significant. The result of differential items functioning based on the bifactor model showed that many items have an uniform and non-uniform differential item functioning, and boys in multiple-choice items and girls in constructed response items have better performances. In general, the results showed that in Iran's PIRLS 2011 testlets, the traits related to the two literal comprehension testlets were differently perceived between boy and girl students, and these two testlet had more local item dependence among girls than boys. Also, the results indicated a difference between the performance of Iranian boy and girl students in the mixed items format test of PIRLS.
Amir hossein mehrsafar
Abstract
Introduction: Researchers describe anxiety as a negative emotional state of restlessness, agitation, worry and somatic activation or arousal. Purpose: The aim of this study was to examination psychometric properties of the Persian version of the Revised Competitive State Anxiety Inventory-2 in athletes. ...
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Introduction: Researchers describe anxiety as a negative emotional state of restlessness, agitation, worry and somatic activation or arousal. Purpose: The aim of this study was to examination psychometric properties of the Persian version of the Revised Competitive State Anxiety Inventory-2 in athletes. Method: population of this study was whole of the Tehran's athletes. 376 questionnaires were completed by 16-44 years old athletes who took part in different fields. To assess of the inventory's construct validity, the exploratory factor analysis (EFA) is used in order to determine count of the factors, and the confirmatory factor analysis (CFA) is used in order to befit the measurement models. The inventory's reliability is calculated by using of the internal consistency method. To assess of time reliability by using of test-retest method, correlation coefficient was used. Data were analyzed by SPSS and LISREL software's. Results: The findings of this study showed that the Persian version of the inventory supports main structure, thus validity and reliability of this inventory is confirmed. Conclusion: anxiety is a factor can influence on sport performance of athletes, therefore, according to the results of this study, recommended that the Persian version of the revised competitive state anxiety inventory -2 be used to consider state anxiety of athletes.
Abstract
This study aimed to discover the most optimal method of smoothing data in different equating methods. For this purpose, data were exactly collected using both TOLIMO and Comprehensive Tests of Iran Educational Testing Organization administered in 1391-92. To analyze data collected from Comprehensive ...
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This study aimed to discover the most optimal method of smoothing data in different equating methods. For this purpose, data were exactly collected using both TOLIMO and Comprehensive Tests of Iran Educational Testing Organization administered in 1391-92. To analyze data collected from Comprehensive Tests of Iran Educational Testing Organization, only the items related to joint general subjects from majors of mathematics and physics, science and humanities were utilized. Data were collected from samples with different sizes and tests with different lengths in terms of items to discover the most optimal method for smoothing data in test equating. As to TOLIMO, equating NEAT design was used while in Comprehensive Tests it was homogeneous groups design. Results of the analyses showed that to smooth data in TOLIMO, the first model (logarithmic linear model including mean, variance, skewness and kurtosis- the first four transformations for the test and anchor) which is simpler was selected. Thus, the best model for smoothing data collected from TOLIMO (form X) was discovered in three sample sizes 0f 200, 500 and 1000 participants. In the same way, in the form Y of TOLIMO with sample sized of 200 and 1000 participants the first model was recognized the best model, but in sample size of 500 people the second model was selected best. As to the data collected from Comprehensive Tests (both X and Y forms), the third model of logarithmic linear models including mean, variance, skewness and kurtosis (the first four transformations) was the best model with different sample sizes of 200, 500 and 1000 people since a model with the lowest AIC has better fitness indexes. Findings, also, indicated that the larger the sample size was and the longer the test was in terms of items, the more improved the fitness for Kernel smoothing there would be.
mariam chegini; ali moghadamzade; nasrin chegini
