مقالات رزومه ریحانه رحیمی

Helping, which is one of the types of prosocial behavior, refers to a voluntary action or activity that a person shows in order to help others. In this research, the goal was to build a valid and reliable tool to measure the helping structure. This research is of a descriptive-survey type and the statistical population studied were psychology and educational sciences students of Allameh Tabataba’i University in 1401-1402, who were selected through a multi-stage sampling method to the size of 242 of this population. After developing the questionnaire, internal consistency was examined through Cronbach's alpha coefficient and its construct validity through exploratory and confirmatory factor analysis. Factor analysis identified 5 factors including voluntary help, help to family and friends, help to relatives and strangers, small help, and temporary help. Also, the results showed that people have a greater desire to help their family and friends, which is consistent with the existing evolutionary theories in this field. The current research was conducted on students and cannot be generalized to other strata, so it is recommended that this tool be implemented in other strata and other age groups and its psychometric properties should be studied.

Using different methods and techniques to achieve the best results and create synergies between them can be helpful in many issues. Educational data mining is one of the relatively new fields that can be used to solve educational problems, especially problems in the field of measurement. But before using these methods, it should be as familiar as possible and its problems, disadvantages and advantages should be examined. In this study, the aim is to investigate the technique of nonnegative matrix factorizations and how to determine the number of clusters before implementing the model. The research method is descriptive and the study population is all those present at the entrance exam for mathematics and technical sciences in 1398, of which 5,000 people were randomly selected by the country's assessment and education organization and provided to the researcher. The research tool is math questions and entrance exam geometry. The results of this analysis showed that there is a difference in estimating the number of clusters of math questions, but in the case of geometry questions, the results of all methods were the same. Due to the observed differences, it is suggested that in future research with the help of data simulation, this issue will be examined in more detail.

This study aims to determine the effectiveness of compassion-focused acceptance and commitment therapy on psychological flexibility and self-efficacy in females with MS.

To carry out this research, 30 women at Kashani Hospital in Isfahan who were diagnosed with MS were selected. In two stages pre-test and post-test, they were measured through the cognitive flexibility inventory (CFI) and Sherer & Maddux general self-efficacy scale (GSSES) in 1 group of treatment and 1 control group. The experimental group was treated for 8 sessions based on compassion-focused acceptance and commitment therapy, but the control group did not receive any treatment. Research data were analyzed using multivariate analysis of covariance and one-way analysis of covariance and SPSS software were used.

The results showed that the treatment increased psychological flexibility and self-efficacy in the post-test compared to the pre-test. But this change was not observed in the control group.

using compassion-focused acceptance and commitment therapy is effective in increasing psychological flexibility and self-efficacy of women with multiple sclerosis.

The aim of this study was to determine the basic cognitive skills required to answer the questions of the Ryon IQ test and to identify the strengths and weaknesses of ninth grade students in this skill using cognitive diagnostic assessment models.

The present study is a descriptive research in terms of the type of datacollected and an applied research in terms of purpose. The statistical population of this study was all ninth grade students of public schools in Tehran in the academic year of 1994-95. Among the nineteen education districts, 700 male and female students were selected through cluster random sampling. First, with the help of experts in the field of intelligence, a Q matrix was formed which included the relationships between 8 basic skills and 60 Ryonn test questions and was analyzed using the non-compensatory DINA model with the help of CDM package in R software environment. Then, in order to determine the probability of the subjects' mastery in each of the skills by determining the cut-off point of 0.7 for the mastery limit, using the expected posterior method in the framework of the DINA model, the subjects in each of the skills were divided into two Dominant and non-dominant group.

The results of cognitive diagnostic assessment showed that the highest probability of mastery was related to stability and progress skills and in general, the subjects' status in all skills except two skills of thought mastery and quantitative reasoning was evaluated as desirable.

Considering the unfavorable situation of the subjects in the two skills of quantitative reasoning and mastery of thought over other skills, it can be concluded that students are weak in producing fast and fluid ideas and discovering mathematical relationships; Therefore, it is suggested that schools pay more attention to fostering students' creativity and assign them tasks that require brainstorming.

Cognitive Diagnostic Assessment is a type of educational assessment that serves to identification and diagnosis of the learning disabilities through the application of psychometric models. Presence of numerous models, makes it crucial choose an appropriate Cognitive Diagnostic Model for data analysis. The purpose of this study was to determine a fitting model for reading comprehension tests. The examined data in this study were included responses from 3,000 participants in the Graduate Entrance Exam for English language field, which were selected randomly out of 16044 people. After Creation of matrix Q, two general models (G-DINA and LCDM), two compensatory models (ACDM and DINO) and two non-compensatory models (RRUM and DINA) were considered for comparison. In terms of Chi-squared maximum Fit Index, none of the models were fitted; but in contrast the results of SRMSR index showed that the fit of all data were acceptable with the data. A comparison of Relative Fit Indices cleared that G-DINA and ACDM models have a stronger fit and DINO and DINA have a poorer fit in comparison to the other models. Also, investigating the Question Fit index showed that only G-DINA and LCDM have a fit with all questions.

Valid governments rely heavily on their high quality educational systems. As a result, they must prioritize quality of education assessment. In order to assess the quality of educational systems, several indicators such as researcher training and research competencies have been presented. Due to the lack of appropriate instrument about Research Competencies in Iran, we have decided to apply the Swank and Lambie Research Competencies Scale which was developed in 2016, as the main instrument in this study. The purpose of this research is normalizing aforementioned scale between graduate educators in behavioral science in Tehran. The sample size was estimated about 346 amongst graduate students studying in universities of Tehran. Research competency is a formative construct and in a formative measurement, it is better to use principal component analysis (PCA) instead of factor analysis (FA). The results led to five items elimination. Final components including qualitative research, quantitative research, research inquiry/literature review, research ethics, sampling methods, writing skill, discussion skills/publish articles and research tools. Descriptive outputs also showed that research ethics in graduate students is in its highest level, however, they showed poor performance in qualitative research. In addition, research competency is higher in PhD student in comparison with M.A students. The results can be beneficial in detecting student’s research needs. Moreover, it is recommended to conduct a qualitative research in order to identify the weaknesses and fundamental flaws of students in some areas of research.

The purpose of this study was to determine the basic skills of reading and comprehension and analyze the test questions, and finally, strengths and weaknesses of subjects through cognitive diagnostic assessment models were fitted with retrofit analysis. The data examined in this study included responses from 3,000 participants in the graduate entrance examination for English language field, which were selected from among 16044 people randomly. At first, with the help of experts, a matrix Q, consisting of the relationship between 20 questions of reading test with 7 basic skills was formed and then, using the G-DINA model, last analysis was performed. Finally, using a posteriori expected method within the framework of the G-DINA model, probability of domination of every single person on each skill was calculated by CDM package skills in software R, and by determining the cut-off point 0.6 for dominance, investigated participants in each skill, divided into two dominant and non-dominant groups. The results showed that in each of the skills, most people have not reached to dominance, Although the situation in the SUM skill (Analyzing and evaluating the relative importance of the information contained in the text, by differentiating between the main idea and details) was better than other skills, and about half of those got dominant in the skill. The final result suggests that, in general, the participant's situation in the application of cognitive strategies to achieve the correct answer is unsatisfactory and these strategies must be included in the curriculum of reading skills and comprehension.