Patricia Dirks, Weber State University
Social and Behavioral Sciences
While much research has evaluated depression, metacognition, and automatic thoughts through various measurement techniques and within various disciplines, no research to date has explored the relationship between the Beck Depression Inventory-II (BDI-II), Metacognitive Awareness Inventory (MAI), Automatic Thoughts Questionnaire-Negative (ATQ-N), and the Automatic Thoughts Questionnaire-Positive (ATQ-P). The purpose of this study is remedy this gap and to examine the relationship and interaction between depression, thoughts, and metacognitive processes, and to assess if these factors are valid and significant predictors for participants’ ability to correctly predict and postdict exam performance. Participants will be asked to complete a questionnaire that includes the BDI-II, MAI, ATQ-N, and the ATQ-P. Participants will also complete prediction and postdiction questions on introductory psychology exams throughout the semester where they will be asked to first declare the score they predict they will receive on the exam they are about to take, and then state what score they believed they received after having completed the exam but prior to receiving the score from the instructor. The relationship between the accuracy of these pre and post-dictions will be analyzed in relationship to the results of each individual participant determined through the questionnaire data. It is expected that students with moderate to severe depression will be less accurate on performance estimations and participants who score higher in metacognitive awareness will be more accurate in their performance estimations than those with lower scores. We also hypothesize that no relationship will be found between positive/negative automatic thoughts and the accuracy of performance estimations.