The goal of this study is to model the relationships among four variables—early activity, time-pressure reactivity, underlyingperformance, and class performance. The specific research questions are:Does procrastination mediate the relationship betweenearliness and academic performance? Do gender differences affect procrastination and academic performance?This study identifies aset of relationships among four variables using structural equation models. Each variable in the model is rooted in objectivemeasurements through course website datasets and parametric empirical Bayes estimation obtained from 59 undergraduateengineering students. We found that the degree of procrastination, termed time-pressure reactivity in this model, mediates therelationship between early activity and academic performance. We also found significant gender differences among the fourvariables: female students showed earlier activity and less procrastination, as well as greater academic performance, than malestudents. In practice, our findings suggest that the measurement of students’ time logged on to access course website material canhelp researchers to estimate students’ short-term and long-term academic performance, as mediated through the individualizeddegree of procrastination.
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