Determining the predictors for ease of sleep while on aircraft: Regression and qualitative analyses

Factors predicting passengers’ ability to fall asleep and levels of sleep anxiety, while traveling on a commercial flight, are investigated through a two-study mixed design. Data collected from approximately 400 participants contributed to the development and validation of multiple regression equations and model fit analysis; and participants responded to related open-ended questions. Regression equations yielded between two to seven predictors and predicted between 6.7% and 27.7% of the variance, ps