Abbas Abbaspour; Golpar Mehrabi; Ali Delavar; Ali Khorsandi Taskooh
Abstract
Researchers are increasingly concerned with qualitative deficiencies in the scientific attributes of their research.It is crucial to examine the influential factors that shape research quality,with the goal of developing a model that can effectively enhance research quality.To this end, the present study ...
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Researchers are increasingly concerned with qualitative deficiencies in the scientific attributes of their research.It is crucial to examine the influential factors that shape research quality,with the goal of developing a model that can effectively enhance research quality.To this end, the present study aimed to design and validate a model for research quality in universities specializing in humanities and social sciences.Employing an exploratory sequential mixed methods design, the research comprised two distinct phases:qualitative and quantitative.Based on grounded theory and semi-structured interviews with19 experts, the qualitative phase led to the extraction of semantic codes related to academic research quality.Strauss and Corbin’s method of systematic coding was then used to analyze the qualitative data in three stages:open coding, axial coding, and selective coding.This resulted in the identification of503concepts and29subcategories, and eight main categories. Considering the data analysis, research management and regulations emerged as causal conditions, with research quality excellence as the main category, technical features and globalization as contextual conditions, human resources as intervening conditions, monitoring and evaluation as action/interaction conditions, and finally, effectiveness and efficiency and acceptance of research results as consequences.In the quantitative section, a researcher-made questionnaire was developed based on the main categories, subcategories, and concepts.The questionnaire was then administered to a sample of 95 individuals selected through convenience sampling from the faculty members of higher education centers of humanities and social sciences.The evaluation of the model, both in its overall configuration and within its submodels, revealed that all factor loadings associated with the questionnaire items as well as the relationships between subcategories and main categories fall within an acceptably standardized range, which generally proves the model fit and validity.The research findings can provide systematically useful strategies to improve academic research quality in the humanities and social sciences, thus contributing to the enhancement of academic research quality in these fields.
Abbas amanelahi; Masoud Rezazdeh; Masoumeh Ahmadi; Laleh senobar
Abstract
The purpose of this study was to investigate the psychometric properties of the scale of response to sexual rejection in married women in Ardabil. The statistical population of this study consisted of all married women in Ardabil. From the statistical population, available sampling method and individually ...
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The purpose of this study was to investigate the psychometric properties of the scale of response to sexual rejection in married women in Ardabil. The statistical population of this study consisted of all married women in Ardabil. From the statistical population, available sampling method and individually responded to the sex rejection scale. Internal consistency coefficient and confirmatory factor analysis were used for data analysis. Data were analyzed using SPSS 25 and LISREL 8.8. The results of internal consistency coefficient showed that this scale has good reliability. The cronbach's alpha reliability of the scale for the four factors of understanding are resentment 0.83, uncertainty 0.86 and temptation 0.83. Confirmatory factor analysis fit indices showed validity of the scale (CFI = 0.98, RFI = 0.96, NNFI = 0.98, RMSEA = 0.062). The results of this study suggest that the RSRS scale is a reliable and valid tool for measuring response to sexual rejection
emran sasani; Mostafa Mohebbi; zabihollah karami
Abstract
Field and Purpose: Courage is a crucial aspect of individual personality, particularly significant for cadets of the Police University as it shapes their intra- and extra-organizational interactions, forming the basis of police authority in society. The aim of this research is to construct a model of ...
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Field and Purpose: Courage is a crucial aspect of individual personality, particularly significant for cadets of the Police University as it shapes their intra- and extra-organizational interactions, forming the basis of police authority in society. The aim of this research is to construct a model of courage tailored to the cadets of the Police University and the training of police officers.Method: This qualitative, applied research involved psychologists, elites, and education/training managers. Samples were purposefully selected and interviews conducted until theoretical saturation. Data from 15 commanders, managers, and experts were analyzed using King and Horrocks' content analysis method, validated by expert opinions.Findings: Interviews revealed five key areas where cadets require characteristics for effective performance: personality and psychology, organizational factors, education, religion and culture, and training. A total of 121 themes emerged as fundamental to developing courage in cadets, with 11 organizing themes and 5 comprehensive themes identified in the model.Conclusion: The study outlines five comprehensive dimensions—personality-psychology, organizational, educational, training, and religious-cultural—offering novel scientific insights to enhance courage in Police University cadets and those trained under the Imam Hasan Mojtaba (PBUH) police program.
Behrooz Kavehie
Abstract
Objective: to find a new method to reduce data processing time and calculate the facility index and discriminant index of questions in large-scale tests.methods: using the statistical method of simple random sampling (SRS) in the calculation of facility index and discriminant index with the classical ...
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Objective: to find a new method to reduce data processing time and calculate the facility index and discriminant index of questions in large-scale tests.methods: using the statistical method of simple random sampling (SRS) in the calculation of facility index and discriminant index with the classical test analysis method and producing a computer program to run the test sample with the large-scale data set.Results: The results showed that this Significantly reduced processing time. For example, the question that took 7393 minutes (more than 133 hours - 5 days and nights) and gave a P index of 0.50, with 10 iterations and only an average time of 129.2 minutes, calculated the average value of this index to be 0.503.Conclusion: Combining the statistical method of simple random sampling (SRS) with the classical test analysis (CTT) method reduces the data processing time, and this method can strongly recommended to use for nationwide organizations such as those that hold tests at the national level. Keywords: CTT, Simple Random Sampling, Large-Scale Data, Process Time.
karim zohrevandian; Iman Ghafari
Abstract
The current research aim is to identify the evaluation indicators of the In-school Sport Olympiad plan according to the CIIP model. This research is qualitative. The statistical population was all managers and physical education teachers. For collecting data, a focus group (10 people) was considered ...
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The current research aim is to identify the evaluation indicators of the In-school Sport Olympiad plan according to the CIIP model. This research is qualitative. The statistical population was all managers and physical education teachers. For collecting data, a focus group (10 people) was considered and then an in-depth interview was conducted with 14 people. Data analysis was done using grounded theory. The research audit was approved using Credibility, Transferability, Dependability, and Conformability. The results showed that the context indicators included planning and goals, and their compatibility with the conditions and transparency of the guidelines and regulations. In the input dimension, the indicators included human resources, audience factors, and financial and physical resources. In the process, indicators including the preparation of presenters, the preparation of the audience, support, and implementation were obtained. Also, in the output, the indicators included Executive results, physical education goals achievement, and audience results. Considering the importance of sports and physical education in schools and the importance of in-school sports Olympiad to achieve the goals of the educational system, such as raising a fresh and energetic generation along with learning science, it seems necessary to implement this plan as best as possible in schools, of course, to improve as much as possible. This plan needs continuous evaluation to identify problems and deviations and continue to improve the processes. This research provides the required indicators to the officials to create a platform for evaluating the intramural sports Olympiad and to promote the Olympiad in various dimensions.
Mostafa Rastgar Agah
Abstract
Sample size in qualitative studies is related to theoretical saturation. Theoretical saturation means that the researcher continues sampling and collecting data until he or she encounters a new insight and concept. But the number of interviews and the claim of achieving a saturated subject has always ...
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Sample size in qualitative studies is related to theoretical saturation. Theoretical saturation means that the researcher continues sampling and collecting data until he or she encounters a new insight and concept. But the number of interviews and the claim of achieving a saturated subject has always been controversial, and not every claim to achieve theoretical saturation can be considered correct. This is important because it wastes more time and money than interviews, and eliminates interviews that require less research validity. There are various methods to solve this problem, such as recommendations based on experience and thumb calculations, but the interest in a more objective criterion based on statistics has attracted the attention of experts. In this paper, two statistical approaches to determine the sample size are examined. One of these methods estimates the sample size in qualitative studies a posteriori and the other method a priori. These two methods will be reviewed, explained and finally compared.
