Although on-campus residence allows easier access to campus facilities, existing studies showed mixed results regarding the relationship between college residence and students' well-being indicators, such as sleep behaviors and mood. There was also a lack of studies investigating the role of chronotype in the relationship between on-campus residence and well-being. In particular, the temporal relationships among these factors were unclear. Hence, this longitudinal study aims to fill in these gaps by first reporting the well-being (measured in terms of mood, sleep, and quality of life) among students living on and off campus across two academic semesters. We explored factors predicting students' dropout in university residences. Although students living on campus differ in their chronotypes, activities in campus residence (if any) are mostly scheduled in the nighttime. We therefore tested if individual differences in chronotype interact with campus residence in affecting well-being. Our final sample consisted of 215 campus residents and 924 off-campus-living students from 10 different universities or colleges in Hong Kong or Macau. Their mean age was 20.2 years (SD = 2.3); 6.5% of the participants are female. Participants completed self-reported questionnaires online on their sleep duration, sleep quality, chronotype, mood, and physical and psychological quality of life. Across two academic semesters, we assessed if students living on and off campus differed in our well-being measures after we partialed out the effects of demographic information (including age, sex, family income, and parents' education) and the well-being measures at baseline (T1). The results showed that, campus residents exhibited longer sleep duration, greater sleep efficiency, better sleep quality, and less feeling of stress than off-campus-living students. From one semester to the next, around 10% of campus residents did not continue to live on campus. Logistic regression showed that a morning type

The present study examines the dynamic relationship between academic performance of high school students and their respective learning and study strategies. Two hundred thirty-six high school students were recruited to participate in this study by completing a Chinese version of the Learning and Study Strategies Inventory - LASSI, to probe into the relationship. Results found that (1) there were clear differences to the learning and study strategies used by high school students with high academic performance, and those with low academic performance; (2) all the three components (Will; Self-regulation and Skill) were equally important to differentiate high academic achieving high school students from low academic achieving high school students within the strategic model of learning; and (3) a numbers of learning and study strategies were effectively predicting the academic performance of the high school students. All of these result patterns confirm that learning and study strategies used by high academic achievers and low academic achievers as well as the components used to predict students' academic performance in the high school setting are quite different from the patterns revealed in the tertiary education sector.
[Copyright of Educational Psychology is the property of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1080/01443410.2013.794493]