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.
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.
