Answer Changing

This study investigated the answer changing behavior of the Iranian university students and its relationship to the academic course, gender, and field of study. 362 students at the University of Isfahan took part in the study. 76 English language teachers were also surveyed for their attitude toward answer changing on MC tests. The results indicated that 42.11% of the teachers had a negative attitude toward answer changing as they believed that the first answer selected is intuitively the best one and should not be changed. The results also indicated that answer changing would basically have positive effects on the total test scores. It was found that 63.09% of the answer changes were beneficial (from Wrong to Right choices). In contrast, 15.18% of the answer changes were negative (from Right to Wrong options), and 21.73% had no effect on the test scores (from Wrong to Wrong options). As for the effect of gender, no significant difference was found between males and females. Concerning the effect of academic course, the only significant difference lay in the number of Right to Wrong changes. Finally, it was found that field of study would make a difference only when Right to Wrong changes were considered.

The present study addressed the effects of cognitive styles on answer-switching practices across online and traditional tests. After completing Ehrman and Leaver’s (2003) cognitive style questionnaire, a sample of upper intermediate students took pen-paper and online versions (59 test-takers each) of an already validated teacher-developed test of English. The data from think-aloud and erasure analyses revealed significantly more frequent total and right-to-wrong changes in the traditional and online tests, respectively. Multiple regression values explained more than 50% of right/wrong-to-wrong, wrong-to-right, and overall answer-changing variance based on cognitive styles in the pen-paper exam. However, the regression results from online performance analyses could not prove the power of thinking styles in predicting answer-changing strategies. Fisher’s exact tests showed significantly different answer-changing strategies adopted by field-dependent, leveler, analog, concrete, and impulsive individuals in the traditional test but no significant differences between the behaviors of individuals with different cognitive styles in the online exam. Based on the present findings, online and pen-paper platforms may require different test-taking strategies. Language instructors and test developers can use these findings to align their instructional and assessment practices with various cognitive styles and testing environments.