Predictive Model Dataset for Mathematics Anxiety using Sleep Hours and Working Memory Factors

This dataset, " Predictive Model Dataset for Mathematics Anxiety using Sleep Hours and Working Memory Factors," is designed to facilitate research into the relationship between cognitive factors, sleep patterns, and mathematics anxiety. The dataset is provided in a single .csv file. The key variables in the dataset are: • Sleeping Hours: A numerical variable representing the average number of hours of sleep per night. • VWM (Verbal Working Memory): A score representing a participant's verbal working memory capacity. • VSWM (Visuospatial Working Memory): A score representing a participant's visuospatial working memory capacity. • Mathematics Anxiety: The target variable, representing a score on a validated scale measuring the level of mathematics anxiety.