Major Article
Early Identification of At-Risk Nursing Students: A Student Support Model
Abstract
<p>Due to the shortage of nurses in the health care industry, colleges offering associate-degree nursing programs are beginning to pay more attention to attrition and the factors contributing to success. A logistic regression model was used to explain the cognitive and noncognitive variables that contribute to success in a nursing fundamentals course. Although much work is necessary to fully understand first-semester nursing students’ retention and success, an early identification model is explored to better support students as they enter associate-degree nursing programs.</p>
