درخت حوزه‌های تخصصی

The purpose of this article is to measurement and testing a high performance organizational culture model in Iran's petrochemical industries.This research is of quantitative type and in terms of purpose, exploratory and data collection method is survey and from the point of view of cross-sectional time. Data collection tool is a researcher-made questionnaire whose validity has been confirmed by industrial and academic elites. The reliability of the questionnaire was confirmed by Cronbach's alpha test (coefficient of 0.815). The statistical population of the study included 8050 employees of Petropars, Jam, Lavan and Fanavaran petrochemical companies working in Iranian Petrochemical Industries. The sample size was calculated by the Cochran's formula of 385 people. 420 questionnaires were distributed and 400 correct questionnaires were collected. The sampling method is stratified random. Data analysis was performed using structural equation modeling using Amos Software. The results of statistical analysis were confirmed by confirmatory factor analysis and in terms of significance by the method of structural equations up to the level of the main categories and after confirmation of formal and content from 400 experts and managers of petrochemical industries. In the next step with a quantitative approach, the current state of high performance organizational culture according to the pattern the extract was assayed. For this purpose, mean comparison, regression and repetition tests used. The results obtained from field survey indicated that the high-performance organizational culture model was approved and dimensions of Behavioral factors, Internal bedding factors, External bedding factors and Process factors were placed in the first to fourth priorities, respectively.

The present study aims at scrutinizing the inference complexity level (henceforth ICL) of test items of the Iranian State University TEFL Ph.D. entrance exam (ISUTPEE) from 2010 to 2017 through the lens of Kintsch's construction-integration theory (C-I) (Kintsch, 1988, 1998). Though there is ample research on inferencing in the field of reading comprehension, the existing literature reveals a serious gap in relation to inferencing complexity of test items in high-stakes exams that exert profound effects on the academic achievements of the individuals. Inferencing is examined in this study to explore the ICL of the test items of the Special Knowledge Test (SKT) according to three levels of memory representations of Kintsch's model: the surface model, the textbase, and the situation model. To this end, the test items for eight consecutive years of the ISUTPEE were examined in relation to the three distinct kinds of mental representations. To ensure the reliability of coding by the researchers, two other specialist coders assessed the ICL of 33% of the items. The intraclass correlation among the three sets of codes was 0.91. The results of the study showed that a large number of questions, accounting for more than 80% of the items, merely activate the surface and the textbase model of information representations in memory. Furthermore, the ICL for each of the four parts of SKT was examined. This analytical study carries a stark warning regarding a deficiency of systematic attention to ICL in the development of test items.