Educational Consequences

Individuals are controlled by tests in every advanced society when they want to be admitted in educational courses, to proceed from one stage to the next, or to be given a certificate (Shohamy, 2001b). Accordingly, the present study was carried out to construct and validate educational, social, and psychological consequences questionnaires of English Language Proficiency (EPT) as a high-stakes test in Iran. To achieve the goals, after initial piloting of the item pool, a total number of 252 non-English PhD students completed the final researcher-made questionnaires developed using a comprehensive review of the related literature, experts’ opinions, documents, and interviews. A number of statistical procedures were taken to validate the current questionnaires including Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). EFA was utilized to determine the underlying factors of the scale that affect the variables in a data structure without setting any predefined structure to the outcome and to verify the number of factors; subsequently, these results were confirmed in the CFA phase. Ultimately, the results were discussed and implications of the questionnaires were presented as follows.

It appears that English Proficiency Test (EPT) as a high stake test plays a key role in addressing many aspects of the educational system and individuals' lives. This paper aimed to represent Iranian non-English PhD students’ perceptions regarding their learning and testing preferences, and to investigate the relationship between educational consequences and psychological consequences of EPT among Iranian non-English PhD students. To reach the goals, two attitudinal researcher-made questionnaires developed and validated (in Persian) at five point Likert-scale format scaling from 1-5 (strongly disagree to strongly agree); subsequently, pilot study was conducted and then the instruments were distributed among 252 participants via online administration throughout Iran. The analyzed results by the software package of SPSS, version 24 showed that deep learning had the highest mean among other subscales and item 3 in testing preferences which was related to creativity hit the lowest mean score. Moreover, the results confirmed that there was a significant and positive relationship between educational consequences and psychological consequences.