Search

University students’ smartphone use has recently been shown to negatively affect their academic performance. Surprisingly, research testing the empirical validity of potential mechanisms underlying this relationship is very limited. In particular, indirect effects of negative health consequences due to heavy smartphone use have never been investigated. To fill this gap, we investigate, for the first time, whether deteriorated sleep quality drives the negative impact on academic performance. To this end, we examine longitudinal data on 1,635 students at two major Belgian universities. Based on a combination of a random effects approach and seemingly unrelated regression, we find no statistically significant mediating effect of sleep quality in the relationship between smartphone use and academic performance.

Multitasking – alternating between two different tasks at the same time – has become a daily habit for many university students. However, this may come at a cost since the existing literature emphasises the negative association between multitasking and academic performance. Nonetheless, this literature is based on cross-sectional observational data so that that estimates cannot be given a causal interpretation. To complement these studies, we opted for a longitudinal design in this study. Specifically, for three consecutive years, students at two Belgian universities, in more than ten different study programmes, were surveyed on their multitasking preferences and academic performance. Then, these results were merged with the students' exam scores. We exploited the longitudinal character of the data by running random and fixed effect models. Our results indicate that the positive and negative aspects of multitasking with respect to academic performance cancel each other out.

Previous studies have demonstrated a strong negative association between smartphone use and sleep quality. However, the majority of these studies quantified smartphone use with subjective self-reported metrics. In contrast, the current study contributes to the literature by objectively logging university students' smartphone use and investigating the association thereof with sleep quality. The extensive, nuanced smartphone usage information obtained from this logging also enables us to explore the validity of several mechanisms theorised to underlie the previously reported negative association between smartphone use and sleep quality. In contrast to earlier research, we do not find a significant association between sleep quality and the duration or frequency of students' daily smartphone use. However, students with the internalised habit of launching a greater number of applications per session ('gateway habits') experience worse sleep quality. This finding is consistent with literature showing that smartphone-related stress is more strongly associated with checking habits stemming from 'fear-ofmissing-out' than with overall screen time.

University students' smartphone use has recently been shown to negatively affect their academic performance. Surprisingly, research testing the empirical validity of potential mechanisms underlying this relationship is very limited. In particular, indirect effects of negative health consequences due to heavy smartphone use have never been investigated. To fill this gap, we investigate, for the first time, whether deteriorated sleep quality drives the negative impact on academic performance. To this end, we examine longitudinal data on 1,635 students at two major Belgian universities. Based on a combination of a random effects approach and seemingly unrelated regression, we find no statistically significant mediating effect of sleep quality in the relationship between smartphone use and academic performance.

We study whether living in a student room as a tertiary education student (instead of commuting between one's parental residence and college or university) affects exam results. To the best of our knowledge, we are the first to study this relationship beyond cross-sectional analysis. That is, we exploit rich longitudinal data on 1,653 Belgian freshmen students' residential status and exam scores to control for observed heterogeneity as well as for individual fixed (or random) effects. We find that after correcting for unobserved heterogeneity, the association found in earlier contributions disappears. This finding of no significant impact of living in a student room on exam results is robust for other methods used for causal inference including instrumental variable techniques.

We present the first systematic review of the scientific literature on smartphone use and academic success. We synthesise the theoretical mechanisms, empirical approaches, and empirical findings described in the multidisciplinary literature to date. Our analysis of the literature reveals a predominance of empirical results supporting a negative association between students’ frequency of smartphone use and their academic success. However, the strength of this association is heterogeneous by (a) the method of data gathering, (b) the measures of academic performance used in the analysis, and (c) the measures of smartphone use adopted. The main limitation identified in the literature is that the reported associations cannot be given a causal interpretation. Based on the reviewed findings and limitations, directions for further research are discussed.

We test the soccer myth suggesting that a particularly good moment to score a goal is just before half time. To this end, rich data on 1,179 games played in the UEFA Champions League and UEFA Europa League are analysed. In contrast to the myth, we find that, conditional on the goal difference and other game characteristics at half time, the final goal difference at the advantage of the home team is 0.520 goals lower in case of a goal just before half time by this team. We show that this finding relates to this team's lower probability of scoring a goal during the second half.