This is real data file condensed from a study conducted to explore the prevalence and impact of sleep problems on various aspects of people’s lives. Staff from a university in Melbourne, Australia were invited to complete a questionnaire containing questions about their sleep behavior (e.g. hours slept per night), sleep problems (e.g. difficulty getting to sleep) and the impact that these problems have on aspects of their lives (work, driving, relationships). The sample consisted of 271 respondents (55% female, 45% male) ranging in age from 18 to 84 years (mean=44yrs).
I’m looking for the factor that is the best predictor for sleep problem and what are the most highly correlated effects with those sle