Sample demographics and descriptive statistics Figures for each DV Summary of results

Sample demographics and descriptive statistics

Figures for each DV

Summary of results

Phone use: There was not a significant difference in phone use between the two groups. However, both groups reported using their phones less at follow-up than their baseline phone use (this doesn’t need to be reported in your lab report as it was just a control measure).

Daytime tiredness: We did not find a significant main effect for time or group on self-reported tiredness. We found no significant interaction effect between time and group on self-reported tiredness.

Working memory: We found a significant main effect for time, but not group. We found a significant interaction effect between time and group on working memory performance.

What does this mean? UNPACKING THE RESULTS FOR WORKING MEMORY BECAUSE DAYTIME SLEEPINESS WAS NOT SIG.

We ran a 2 x 2 mixed-model ANOVA. In this analysis, there are main effects and an interaction effect. Main effects look at 1 IV at a time. We have 2 IVs – time and group. An interaction effect examines whether the interaction between the two IVs impacts the DV.

So our first main effect looks at the impact of time on Working Memory (WM) (ignoring which group people were in). Everybody’s baseline WM scores are compared to everybody’s follow-up scores. A significant main effect of time suggests that the WM scores at Time 1 are significantly different to Time 2 WM scores. We saw a significant main effect of time, the scores at follow up were higher than the baseline scores. This means, overall, the WM scores increased from baseline to follow-up.

Then we look at the groups (ignoring time). The baseline and follow-up scores of the treatment group are collapsed, as are those of the control group. Then the collapsed scores are compared. A significant main effect of group would suggest there is a difference between the two groups’ WM. We did not see a significant main effect of groups. This indicates that, overall, there was no difference in the two groups’ WM performance.

We also look at the effect of the interaction between time and group on WM. A significant interaction effect suggests that time X group has an impact on WM. We did see a significant interaction between time and group. This tells us that the effect of time on WM depends upon which group the participants were in.

NOTE: We looked at the daytime tiredness and WM of people who were already using BLF. We did not find a significant difference in their ESS means from baseline to follow-up. Further, there was no significant difference in their WM Total Score from baseline to follow-up. You don’t need to include this in your report, we just thought you might be interested.

Introduction: Highlight the broader topic, Explain the theoretical framework, summarise previous studies, rationale, hypothesis and Aims & Hypothesis.