mehdi molaei yasavoli; ali delavar; mohammad asgari; jalil Younesi; vahid rezaei tabar
Abstract
Efficiency and bias of parameter estimation is one of the most important psychometric issues in behavioral science measurements. The existence of various algorithms such as MHRM and their application in tests with missing data is one of the challenges in the field of item-response theory models. The ...
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Efficiency and bias of parameter estimation is one of the most important psychometric issues in behavioral science measurements. The existence of various algorithms such as MHRM and their application in tests with missing data is one of the challenges in the field of item-response theory models. The purpose of this study was to investigate the risk of MHRM algorithm in multidimensional models of item-response theory in multi-valued data by considering the mechanism and the amount of missing data. The research method was experimental using a multi-group post-test design. The study sample was created based on simulation studies under different conditions of independent variables in 27 cases with 100 replications for each. The model used was a multidimensional scaled response model and the studied parameters were the slope and threshold of the questions. R statistical software was used to generate and analyze the data. The results showed that MHRM algorithm has less estimated risk compared to EM and MCEM algorithms. The results also showed that there is a significant difference in the risk of slope and threshold parameters between three different mechanisms of missing data, but no significant difference was observed in relation to the independent variable of missing data. There was also a significant interaction between the type of algorithm and the missing mechanism, which indicated the optimal performance of the MHRM algorithm. Thus when this algorithm is used, the mean and variance of the MSE slope and threshold parameters in all three loss mechanisms also converge as they decrease. As a result, it can be said that the application of MHRM algorithm is essential in data with high data missing and types of missing. Therefore, researchers are advised to use the MHRM algorithm in data analysis with complex structure such as high data missing and various missing mechanisms
Zahra Jahanbakhsh; Noorali Farrokhi; Jalil Younesi
Abstract
In order to increase the precision of measurement, survey studies apply scales for the evaluation of latent features. This study aimed to examine differential item functioning (DIF) of Academic Alienation scale items in students based on the Item Response theory (IRT) framework. DIF analysis is used ...
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In order to increase the precision of measurement, survey studies apply scales for the evaluation of latent features. This study aimed to examine differential item functioning (DIF) of Academic Alienation scale items in students based on the Item Response theory (IRT) framework. DIF analysis is used to test the hypothesis if the item parameters for the different groups of identical ability are invariant. DIF analyses of gender and education duration were performed using a sample of 1100 Psychology and educational sciences students in the city of Tehran. The Academic Alienation items (Burbach, 1972) studied were 4-point Likert-type scales. The questionnaire had three subscales: isolation, meaningless, and powerlessness. Analyses were conducted using the graded item response model with likelihood ratio (IRT-LR) tests of DIF. DIF analyses were conducted with 4 anchor items and after Bonferroni adjustment only 3 items based on gender and 2 items according to education duration were detected with meaningful DIF. The explanation of DIF detection can be discussed based on the cultural context of universities. Sexual inequality, teachers’ attitudes, university management policies, and finally educational injustice may be the reasons for the sense of academic alienation in students.
Fatemeh Zahra Heidari; Nasim Asghari; Ali Delavar
Abstract
This research examined the construction of algebraic concepts in the 3rd chapter of the 7th-grade mathematics textbook, utilizing Sfard’s and Tall’s theoretical frameworks. Content analysis was employed to achieve the research’s goal of understanding the process by which algebraic concepts ...
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This research examined the construction of algebraic concepts in the 3rd chapter of the 7th-grade mathematics textbook, utilizing Sfard’s and Tall’s theoretical frameworks. Content analysis was employed to achieve the research’s goal of understanding the process by which algebraic concepts are developed in the context of the specified curriculum. This particular research design is considered to be qualitative and focused on the development of educational content, rather than empirical in nature. This study, in terms of its purpose and design, falls under the applied research and non-experimental groups respectively. The chapter in question covers four sections, namely numerical patterns, algebraic expressions, numerical values of algebraic expressions, and equations. This study investigated the process of constructing algebraic concepts, specifically variables and algebraic expressions, utilizing the theoretical frameworks of Sfard and Tall. The research findings suggest that the educational process of algebraic concepts in the textbook tends to follow an accelerated timeline which skips or overlooks the condensation stage (the second stage in the concept development process) and quickly transitions to the reification stage (3rd point in the concept development process). In some instances, the entire condensation stage may even be bypassed, leading to insufficiently developed and understood mathematical concepts and subsequent learning difficulties. Additionally, the research findings are consistent with the theories of concept development proposed by Gray and Tall. Specifically, the construction of the concept has remained at the procedural stage and has not reached the final stage. As such, it is evident that the students have not developed a structural understanding of variables and algebraic expressions.
Hassan Moshtaghian Abarghouei; Mohammad Reza Flasafi Nejad; Ali Delavar; Noor Ali Farrokhi
Abstract
Identifying distractors as sources of Differential Item Functioning(DIF) in polyotomous items has great importance to designers and analysts. Although DIF is one of the common methods for examining the measurement invariance, It is accompanied by challenges and limitations, especially in multiple choice ...
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Identifying distractors as sources of Differential Item Functioning(DIF) in polyotomous items has great importance to designers and analysts. Although DIF is one of the common methods for examining the measurement invariance, It is accompanied by challenges and limitations, especially in multiple choice items. The purpose of this study was to assess the performance of Nested logit Model(NLM) for detecting Differential Distractor Functioning(DDF) by using experimental (simulated data) and descriptive-analytical (real data) methods. Six items were simulated under different conditions of difficulty and slope, ability distribution, presence or absence of DIF/DDF, and DIF/DDF magnitude, with a sample size of 2000 and 50 replicates. The data of Math Entrance Exam (D-form,2018), with a random sample of 2000 men and women constituted the real data. Based on the results of the simulation analysis: The NLM revealed 88% of DIF and 97% of DDF, on average. the Type I error rates is very close to the theoretical expected values, although it showed some inflation in unequal distribution conditions. according to the findings, the detection rate was influenced by the item parameters(difficulty and slope) and the DIF or DDF levels. Based on real data analysis, 2 items represented both DIF(Large and Medium) and DDF (Partial to Moderate) simultaneously, whereas in the NRM approach, 11 items detected as DIF/DDF; so, as expected the approaches based on “divided by distractor” strategy, fewer items were detected as DIF/DDF. The NLM approach, while separating the DDF from the DIF test, allows for a clear evaluation of whether the distractor may be responsible for DIF. Since high-stakes tests have a special role in selection and DIF and DDF analyzes have a special place in determining the validity and measurement invariance of these exam items, it is recommended to screen the bias items, DIF/DDF comprehensive analyzes based on NLM be used.
zahra jani; zahra delavar; abolfazl karami; behzad shoghi
Abstract
The objective of the present study was to determine the share of variables with variations in marital intimacy levels. This study is among fundamental studies and in terms of data collection and analysis is a descriptive and correlational study with structural equations modeling method. The statistical ...
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The objective of the present study was to determine the share of variables with variations in marital intimacy levels. This study is among fundamental studies and in terms of data collection and analysis is a descriptive and correlational study with structural equations modeling method. The statistical population of this study included all married women who referred to Tehran health houses in 2019. For this purpose, 320 women functioned as the sample and finally, considering the potential drops, 350 women were selected as the final sample of the study. The sampling method of this study was multistage cluster sampling. Therefore, of the health houses in Tehran, 10 houses were selected randomly and then, 35 married women were selected from each house and questionnaires were distributed among them. To gather information, Marital Intimacy Questionnaire (MIQ), Scorner and Friedlander Differentiation Scale (1998), Eidelson and Epstein Relationship Beliefs Inventory (RBI), and Sexual Satisfaction and Marital Commitment and Marital Life Quality Scale were used. Also, in order to test the hypotheses, structural equation modeling with PLS was used. The research findings showed that self-differentiation has no direct effect on marital intimacy. Relationship beliefs, sexual satisfaction, marital commitment, and marital life quality have a direct effect on martial intimacy. Marital commitment affects marital intimacy (0/35) that is significant at p>0/01. Also, marital quality affects marital intimacy (0/136) that is significant at p>0/01. Therefore, each variable has an indirect effect (marital and life quality) on marital intimacy.
Tayebe Dehghan nayeri; Ali Delavar; Noorali Farrokhi; Ahmad Borjali
Abstract
The major aim of this research was to investigate the precision of the up parametric statistics to detect common response styles in polytomouse data. In the present study, five-choices data was simulated with 25 replication according to a fully-crossed design based on Partial Cradit Rasch model. The ...
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The major aim of this research was to investigate the precision of the up parametric statistics to detect common response styles in polytomouse data. In the present study, five-choices data was simulated with 25 replication according to a fully-crossed design based on Partial Cradit Rasch model. The design included foure types of response styles ;Extreme responding positive, negative, acquiescence and midpoint responding, in four -different situations ; Sample size, test length, percentages of aberrant-responding examinees and percentages of aberrant items was investigated. precision of the Up statistic was high to detect the response styles in all situations respectively; ;Extreme responding negative, positive, acquiescence and it was possible to distinguish between the compatible and aberrant response patterns with the highest precision in these response styles,except to detect the midpoint responding was less precision, in some situations. The Up parametric statistics has high sensitivity to detect common response styles in non-cognitive multiple choice data and it is suggested that be used this statistics to detect of the response styles of extreme responding negative, positive, acquiescence .
Mehrnoosh Farhang Ranjbar; Fariborz Dortaj; Ismail Saadi pour; Ali Delavar
Abstract
The purpose of this study was to Designing computer-based Educational program of math concepts and comparing its effectiveness with the traditional method on spatial visual perception students. The research method is semi-experimental and with pre-test and post-test design with control group. The statistical ...
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The purpose of this study was to Designing computer-based Educational program of math concepts and comparing its effectiveness with the traditional method on spatial visual perception students. The research method is semi-experimental and with pre-test and post-test design with control group. The statistical population of this study included all male students studying in elementary schools in the fifth district of Tehran during the school year of 2016-2017. The sample size of this study consisted of 45 people who were selected through purposeful sampling. Among them, 15 students in the experimental computer program, 15 students in the experimental group and 15 students in the control group. Kolmogorov-Smirnov and Shapirovylak, T-test and covariance tests were used to analyze the data of this study. The research tool was the Frosty Space Spatial Perception Test with a reliability of 0. 69 and a computer training program with a reliability level of 0.71. Comparison of moderated averages of the visual-spatial perceptions of the experimental group with the control of the difference in the score shows a score of 93.22, which is significant at the level of 0.001. By summing up these results, it can be stated that education through computer-based math concepts has been effective in improving the visual-spatial perception of students. Comparison of the moderated averages of the visual-spatial perceptions of traditional groups with the educational curve shows the difference between the score of 130.11 and the level of 0/001. These differences are such that the average of the group of computer training programs is always higher than the traditional one.
meysam sadeghi; mohammadreza falsafinejad; ali delavar; noorali farrokhi; ehsan jamali
Abstract
The purpose of the present study was to identify the weight of each of the courses of academic record and scoring based on the psychometric approach of the IRT continuous model and approaches based on the viewpoint of the specialists of Topsis and AHP. The method of this study was a combination. In order ...
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The purpose of the present study was to identify the weight of each of the courses of academic record and scoring based on the psychometric approach of the IRT continuous model and approaches based on the viewpoint of the specialists of Topsis and AHP. The method of this study was a combination. In order to conduct research in the first part, 11 items (courses) of academic background were taken from the expert group and weighed and prioritized using Tapis and AHP techniques. The final third year grades of secondary school students were received from the assessment organization and accepted for psychology and counseling in the humanities group. Theta tests were used to estimate the grades. In order to compare different weighting and grading models, the sample group was first ranked based on scores derived from all three approaches, and compared in terms of dispersion indices and the degree of difference between rankings. The results of the comparison of the three approaches indicated that the most variance is related to the IRT continuous modeling method. The results of Wilcoxon's statistical analysis to compare the average rankings showed that in the small sample size, the weighting method in all three methods produced a significant difference in the rankings compared to the same weight method, and therefore the weighting model in the ranking of the volunteers In small sample size affects. But there are no significant differences between the three weighting models in the candidate ranking. Also, the results showed that in the high sample size (2000 persons), the weighting method in all three methods compared to the same weights makes a significant difference in the rankings. IRT method scores are more reliable than expert-based approaches.However, the weighting method does not seem to have a significant effect on the reliability of the scores.
maryam valizadeh; fariborz dortaj; ali delavar; Kobra Hajializadeh
Abstract
: Compassion and mindfulness as a basis for psychological evaluation, in order to evaluate and activate the desired variable. Considering the fact that in the research background we found out the effect of the educational package on the desired component of the component as effective instruction, by ...
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: Compassion and mindfulness as a basis for psychological evaluation, in order to evaluate and activate the desired variable. Considering the fact that in the research background we found out the effect of the educational package on the desired component of the component as effective instruction, by the decentralization of the components Negative determination. For this purpose, 297 of all women under the sponsorship of a charity in Rudbar city based on the Morgan table in the year (1396) who had a depression diagnosis based on a score of at least 12 in the Beck Depression Test, were selected by random sampling of target audiences They were . In a intervention group, 15 (one) and a control group of 15 (single) were replaced. The present study was a semi experimental design with pretest-posttest design with control group. The tool was used by Self-employed Scheer Questionnaire (Scherer, Maddox, Mercury, Prentice, 1982). Multivariate analysis of variance (MANOVA) was used to analyze the data. The results show the significant effect of this educational package on self-efficacy in depressed female head of household. Research hypotheses were confirmed at the significant level (p <0.0001).
somayeh pourehsan; Mohammadreza Falsafinejad; Ali Delavar; Noorali Farokhi; Ahmad Borjali
Abstract
The main goal of this research was to apply the multi-level in determining the role of metacognitive components associated with drug abuse among adolescents of Kerman Province. The method used in this research was correlation type. In order to conduct this research 1000 school students of Kerman Province ...
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The main goal of this research was to apply the multi-level in determining the role of metacognitive components associated with drug abuse among adolescents of Kerman Province. The method used in this research was correlation type. In order to conduct this research 1000 school students of Kerman Province have been selected by using multistage cluster sampling method. For data collection in this research, ZARGAR drug addiction preparation Questionnaire and Wels’s Metacognitive Questionnaire (MCQ30) have been used. The results of multi-level approach using One-way random effects Anova showed that the four components (positive beliefs about worries, negative beliefs about worries, low cognitive trust and cognitive self-awareness) explained about 49% of the variance of addiction tendency at school level. Moreover, the random intercept model explained 12% of the student-level variance of drug abuse tendency. Here, the significance of qi-square with the value of 37.983 at the significant level (P <0.0001) reflects the significant change of the null model and model 1. In response to the question that how much the relationship between the tendency to drug abuse and student-level components is similar among schools, a comprehensive model with both student-level and school-level variables (model 2) was used. In model 2, the results showed that at the school level, the mean of positive beliefs and cognitive self-awareness about drug abuse tendency have a significant relationship, but the mean of cognitive trust and negative beliefs has not a significant relationship with the tendency to drug abuse. At the students level, there is a significant relationship between cognitive trust and negative beliefs with drug abuse tendency (P <0.01). In total, it can be said that for variables related to samples with a nesting nature, it is necessary to use all levels in data analysis.
Enayatollah Zamanpour; Ali Delavar; Noor ali Farrokhi; mohammadAli Babaee Zakliki
Abstract
Background: Although today's univariate statistical analyzes have given way to complex multivariate analysis with rigorous assumptions, these methods can not provide readers with a clear and reliable understanding of these concepts, since the statistical methods mentioned are as pre-determined as the ...
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Background: Although today's univariate statistical analyzes have given way to complex multivariate analysis with rigorous assumptions, these methods can not provide readers with a clear and reliable understanding of these concepts, since the statistical methods mentioned are as pre-determined as the standard, and regardless of The meanings and concepts of the research structures are aimed at fulfilling pre-determined goals and the need for more extensible interpretative methods is quite tangible. Objective: To introduce one of the research approaches called procedural theory, its components and structure, along with the application of the relevant analytical method (analysis of the smallest space) On h data The main purpose of the research is to focus on the focus of the research. Findings: An interpretive approach to procedural theory by using the smallest space analysis allows the identification of different procedures, including position procedures, responsiveness, and interaction as visual representations. Conclusion: Using this approach in analyzing data that has a complex human structure can be a very good way to validate and interpret them closely.
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.
Abstract
Abstract Test of common types of assessments that are done in the education system. Test results should be invoked for any of the validity, reliability, and has the ability to run each test covers a different aspect of. Poorly made tool that is not only not useful, but dangerous as well. self test ...
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Abstract Test of common types of assessments that are done in the education system. Test results should be invoked for any of the validity, reliability, and has the ability to run each test covers a different aspect of. Poorly made tool that is not only not useful, but dangerous as well. self test mechanism so carefully constructed, run and score can be read. To ensure fairness test scores from different test forms with methods that are commonly referred to as equating is adjusted. Alignment is commonly used as a statistical method for matching test scores to account for differences between different forms of unwanted application form so that scores are comparable. National Education Assessment is described and appropriate manner. The purpose of this study is to Anchor matched groups design and plans for the disparate groups with anchor test and linear equating methods, mean Equipercentile the classical test theory and compare it with the results of the new theory for measuring equating, the equating position measurement system training in the proper manner must be presented and explained.
RogheaAsadi Roghea; Ali Dlavar
Abstract
The purpose of this study was to investigate the relationships between personality traits and subjective well-being in predicting spiritual intelligence in order to develop structural model. For this aim 220 students of the Amir Kabir University at the under graduate, master’s and doctoral degrees ...
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The purpose of this study was to investigate the relationships between personality traits and subjective well-being in predicting spiritual intelligence in order to develop structural model. For this aim 220 students of the Amir Kabir University at the under graduate, master’s and doctoral degrees using systematic random sampling were selected. They completed Spiritual Intelligence Scale of King (2007), Keyes comprehensive scale of well-being (1998) and Big Five Factor personality Inventory (NEO-FFI). In order to assess the relationship between latent and measured variables in the conceptual model, the structural equation modeling was used. The results showed that high scores in the spiritual intelligence predicted through low scores in neuroticism and high scores in extraversion and conscientiousness. In this model, well-being was mediator, and neuroticism, extraversion and conscientiousness with the mediating mental wellbeing could predict the variance of spiritual intelligence, regression weights of direct effects were not significant but the weights of indirect and total effects were significant, and the predictor variables explained 25% variances of spiritual intelligence. The results of the present study emphasize the role of personality traits on well-being and spiritual intelligence.
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
RogheaAsadi Roghea; ali delavar
Abstract
The purpose of this study was investigate the effect of education, gender and age on spiritual intelligence while well-being was mediator and using partial least square structural equation modeling. In order to 220 students of the Amir Kabir University at the under graduate, master’s and doctoral ...
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The purpose of this study was investigate the effect of education, gender and age on spiritual intelligence while well-being was mediator and using partial least square structural equation modeling. In order to 220 students of the Amir Kabir University at the under graduate, master’s and doctoral degree using systematic random sampling were selected. They completed Spiritual Intelligence Scale of King (2007) and Keyes comprehensive scale of well-being (1998). Results showed that high scores in spiritual intelligence increased with education and direct effect was β=0.2. Also education has an indirect effect on sq with the mediating of well-being and the indirect effect was β=0.12. So the total effect was β=0.32. The direct effect of education on well-being was β= 0.25 and the total effect of well-being on sq was β=0.5. Gender and age have no effect on well-being and spiritual intelligence. The results emphasize the role of education on sq and well-being.
Abstract
This paper aims to develop a structural model-training in order to optimize the absorption in the country's banking system.The purpose of this research / development and in terms of gathering information is descriptive and correlational research.In order to achieve the goal of Correlation research methods ...
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This paper aims to develop a structural model-training in order to optimize the absorption in the country's banking system.The purpose of this research / development and in terms of gathering information is descriptive and correlational research.In order to achieve the goal of Correlation research methods were used.The target population included all people with managerial post in the banking industry of the Islamic Republic of Iran. They had a total of 1,489 people.Using cluster random sampling of 305 director of state-owned banks, the National Bank Among the governmen banks has become thetprivate ,banks and mellat and tejarat Among private banks pasargad bank were analyzed. Three questionnaires were used to collect data: organizational culture, Cameron and Quinn (1999), organizational strategy Conant et al (1990), the absorption and Mshvlm Bamberger (2000) and competence researcher made questionnaire was used. The results of this study showed that three types of defensive strategy, analyst and prospective and three types of cultural action, constructive and Offensive the direct effect of on the merits.too this study showed The defensive strategy, analyst strategy and futurist strategy And action culture, constructive culture and invasive culture have a direct effect on merits. Based on competency model in this study And to achieve the research objectives, it is our suggestion: Codification A training package According to research findings.
mohammad solgi; hossein Eskandar; ali delavar; Ahmad borjali
Abstract
Abstract: The present study with the purpose of construct, making reliable and validity screening of national and social identity test has been carried out. the social identity is composed of 3 parts including ethnic identity, religious identity and modern identity. Firstly, the components and then their ...
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Abstract: The present study with the purpose of construct, making reliable and validity screening of national and social identity test has been carried out. the social identity is composed of 3 parts including ethnic identity, religious identity and modern identity. Firstly, the components and then their concerned questions were compiled for each sub test. Therefore, the questions of national identity (90 questions) and ethnic identity (68 questions) was arranged in a 158 question questionnaire and the questions of religious identity (72 questions) and modern identity (72 questions) in another questionnaire with 144 questions. Two questionnaires were carried out in preliminary performance on a sample of the students of Tehran Universities. After the preliminary performance, by using items' analysis method, 80 items were omitted of the first questionnaire (158 questions) and in total, 161 items were omitted. Alpha coefficient of the first questionnaire (158 questions) is 0/978 after analysis of the questions. In the second questionnaire (144 questions), the alpha coefficient is 0/957 after omitting the unsuitable items. From questions of the first questionnaire and questions of the second questionnaire, a 141 item questionnaire was formed which its alpha coefficient is 0/965. This questionnaire in main performance on a mixed sample of 410 students of Tehran was carried out. Factor analysis method was used in this step for test analysis. During factor analysis process, 31 factors were recognized in total which 13 factors could be named. In sub test of national identity, 10 factors were recognized which 5 factors could be named. Also, in modern identity 8 factors were recognized which 2 factors were definable.With regard to the results of this research, this questionnaire is of suitable reliability and validity and the obtained elements from factor analysis can measure the national and social identity of students in a suitable manner.
Ali Delavar
Abstract
Aim:The Aim of this research was studding the psychometric properties of self-handicapping scale as a suitable tool for measuring the self-handicapping.Method:The population was all of Tehran’s university students that 520 people were selected as a sample from the universities of AllamehTabataba’i, ...
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Aim:The Aim of this research was studding the psychometric properties of self-handicapping scale as a suitable tool for measuring the self-handicapping.Method:The population was all of Tehran’s university students that 520 people were selected as a sample from the universities of AllamehTabataba’i, Tehran, south branch of Payam-e-Noor & south branch of Islamic Azad University in various fields through purposive sampling. The research tool wasself-handicapping scale (Jones, &Rhodewalt 1982).For studding the psychometric properties of self-handicapping was determined the content validity, construct validity and reliability of this scale.Results:The content validity of this scale was confirmed by 5specialists. In exploratory factor analyze supported three factor solution. Confirmatory factor analysis results indicated that the three-factor model fit the data. Internal consistency of the factors and scale was quite high and also item analysis showed high internal consistency between the items and scale. The reliability of scale was obtained 0.918 using the Cronbach'salpha method and 0.767 using the spilt-half method. Conclusion:Self-handicapping scale has good psychometric properties for college Students. Reliability of this scale was very high and Three-factor model proposed in the research has good construct validity and Helps researchers that can using this instrument for measuring the self-handicapping in the college students.
ali delavar; kamran ganji; saeedeh taghavi
M.R. Mohamadi Soliemani(; Ali Delavar; F Dortaj; B Saleh; SH Sanjari
Abstract
introduction: Industrial / organizational psychology have noted that the success or failure of an organization largely depends on the quality of its leaders. Psychologists have concluded that leadership effectiveness may not only individual characteristics but leaders must be have characteristics. Purpose: ...
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introduction: Industrial / organizational psychology have noted that the success or failure of an organization largely depends on the quality of its leaders. Psychologists have concluded that leadership effectiveness may not only individual characteristics but leaders must be have characteristics. Purpose: Determine Model for Selection industrial administrators by using FUZZY AHP. Method: 36 manager completed the questionnaires and data have been analyzed by AHP and MATLAB software. Result : Based on the findings "management skills" is the most important feature of Directors. " Ability to persuade" is the most important communication manager. "Planning " is the most important Decision skills. "Risk" is the most important management skills. "Teamwork ability" The most important is the capacity and capability of managers. "Professional performance" managers are the most important personal and professional skills. Conclusions: Organization can use of results of this research for choose their managers.
Mahnaz Afzali; Ali Delavar; Afshin Afzali
Abstract
Present research studies performed thesis about academic failure between academic years 1990-2012 in Tehran Universities. Within related projects, 55 projects which had information necessary for analysis were selected as final sample. CMA-2 software was used for calculating Coefficients. Results of Q ...
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Present research studies performed thesis about academic failure between academic years 1990-2012 in Tehran Universities. Within related projects, 55 projects which had information necessary for analysis were selected as final sample. CMA-2 software was used for calculating Coefficients. Results of Q test showed that primary studies are not homogenous and studying Nfs showed that there isn’t protection of distribution within studies. Dual and Toidi correction test was performed for both constant and random models. Measure of total effect for all studies under both constant and random models, was gained statistically meaningful. Also, measures of effect in separation of distribution year, sampling method, sex of sample, education program, research method and factors affected on educational slump were gained statistically meaningful. Average of effect measures was 0.312 and educational factor, with effect measure higher than average, showed the most effect on educational slump. The results showed that variables of education, socioeconomic, individual factor, family factor and sex factor had the most effect on educational slump respectively. Also, studying hypotheses showed that there is meaningful difference between effect measures of educational slump according to year of research, sampling method, sex, education program, meaningful level, factors being effective on educational slump and research method.
Zahra Tabatabaei jabali; Ali Delavar; Ahmad Borjali
Abstract
The aim of the present research was the meta-analysis of the studies that investigate the link between job stress and organizational variables in Iranian research studies. Data collected from 78 studies conducted from 1993-2013 and was analyzed then the effect sizes of the relationship between stress ...
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The aim of the present research was the meta-analysis of the studies that investigate the link between job stress and organizational variables in Iranian research studies. Data collected from 78 studies conducted from 1993-2013 and was analyzed then the effect sizes of the relationship between stress job and organizational variables were computed. Findings revealed that the combined effect size for fixed model was 0.16 and for random model was 0.17, which both were small effect sizes (J. Cohen, 1997). Further meta-analysis showed that the interpersonal conflict, work-family conflict, organizational effectiveness variables had significant large positive effects size on job stress. We checked for Publication bias and heterogeneity of effects. the results showed no bias but due to heterogeneity of effects, demographic and methodological variables were examined .Findings revealed that sampling, kind of job, kind of studies and Measuring tools could moderate the relationship between job stress and organizational variables as the moderator effects. The overall results suggested that Organizational variables that lead to feelings of loss of control or social support or self-efficacy have a stronger relationship with job stress. This suggests that further investigation is needed.
Mohammad Hossien Zarghami; Ali Delavar; Mohammsd Reza Falsafinezhad; Fariborz Dortaj; Akram Khoshsokhan
Volume 5, Issue 16 , July 2014, , Pages 1-29
Abstract
The foundation of network data analysis in psychology rests on particular theory, special ontological assumptions and particular methodology. Therefore it is possible to call network analysis as an independent paradigm with given techniques for data gathering and data analysis. This method can be used ...
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The foundation of network data analysis in psychology rests on particular theory, special ontological assumptions and particular methodology. Therefore it is possible to call network analysis as an independent paradigm with given techniques for data gathering and data analysis. This method can be used for studying psychological constructs with network entities (e.g. comorbidity phenomenon). Applying network data analysis in studying relationships of generalized anxiety disorder and major depression disorder symptoms (according to The US National Comorbidity Survey Replication (NCS-R)) shows that it is not possible to distinguish between them and we should consider symptoms relationships in studying, diagnosis and therapy for both of them
asghar minaei; Ali Delavar; Mohammad Reza Falsafinezhad; Ali Reza Kiamanesh; Yahya mohajer
Volume 5, Issue 16 , July 2014, , Pages 138-170
Abstract
Studies of internationalmathematics achievement such as the Trends in Mathematicsand Science Study (TIMSS) have employed classical test theory and item responsetheory to rank individuals within a latent ability continuum. Although these approacheshave provided insights into comparisons between countries, ...
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Studies of internationalmathematics achievement such as the Trends in Mathematicsand Science Study (TIMSS) have employed classical test theory and item responsetheory to rank individuals within a latent ability continuum. Although these approacheshave provided insights into comparisons between countries, they have yet toexamine howspecific attributemastery affects student performance and howthey canprovide information for curricular instruction. In the 2007 administration of TIMSS,two benchmark participants—Massachusetts andMinnesota—were tested followingthe same procedural methods, providing an opportunity for comparison within andacross the United States. Overall comparison of their performance showed Massachusettsand Minnesota to significantly outperform the United States. However,this article shows that there is a greater wealth of fine-grained information that canbe translated directly for classroom application at the attribute level when a cognitivediagnostic model (CDM) such as the deterministic, inputs, noisy, “and” gate (Junker& Sijtsma, 2001) model is used. Results showed a significant disparity betweenproportions of correctly answering and mastering skills required to solve an item.Advantages ofCDMsare discussed aswell as a CDM-basedmethod to filter distractorresponse categories that can aid instructors to diagnose a student’s attribute mastery.
