Causal model of predicting academic procrastination through academic emotions and self-regulated learning strategies mediated by perfectionism

The purpose of this study was to provide a Causal model of predicting academic procrastination through academic emotions and self-regulated learning strategies mediated by perfectionism of Shiraz girls' high schools students. The present study is a descriptive-correlation method in terms of applied purpose and in terms of method. The statistical population of this study included all students of girls' vocational schools in Shiraz in the academic year 2020-2021with a number of 8100 people. To determine the sample size based, 200 students were selected using multi-stage cluster random sampling method. Assessment tools included riding academic procrastination questionnaire, Pakran et al.'s academic excitement questionnaire, Pintrich and Dargroot self-regulated learning strategies questionnaire, Short et al.'s perfectionism questionnaire, which confirmed the validity and reliability of the tool. Data analysis was performed at two levels of descriptive statistics and inferential statistics. At the descriptive level, mean and standard deviation were studied and at the inferential level, the coefficient of zero order correlation matrix and multivariate regression were performed simultaneously based on Baron and Kenny (1986) model using LISREL and SPSS software version 21. Findings indicated that cognitive strategies, metacognitive strategies and motivational beliefs negatively and significantly predict academic procrastination; Positively and positively predict positive emotions and negatively and positively predict academic procrastination; Positive perfectionism negatively and meaningfully and negative perfectionism positively and meaningfully predicts academic procrastination; Perfectionism plays a significant mediating role in the relationship between self-regulated learning and academic excitement with academic procrastination. The model also has an acceptable fit.