⚡️ For a tutorial paper I'm working on with
@sachaepskamp, we are looking for #OpenAccess panel #data 🚨

- Data published online or that can be made available
- Repeated measures, minimum 3 timepoints
- Equidistant (same timeperiod between each assessment wave; e.g. same participants are measured every month)

Open to any subfield of psych & does not need to be restricted to #psychology

Thank you in advance!

We'll use a small subset of the data for demo purposes.

#Academia #Science #Research

This sounds interesting. We have data on daily averages (not quite daily assessments but multiple assements per day summarized to a daily level) for physical activity, sleep quality, and core affect over the duration of 3 weeks (with quite a number of missing days though) published. The paper is: https://link.springer.com/article/10.1007/s12662-022-00809-y OSF repository with data can be found inside physical@[email protected] @sachaepskamp
Sleep quality, valence, energetic arousal, and calmness as predictors of device-based measured physical activity during a three-week mHealth intervention - German Journal of Exercise and Sport Research

Physical inactivity is known to be a risk factor for several noncommunicable diseases and has a high prevalence in today’s society. Therefore, it is crucial to understand the psychological factors associated with physical activity (PA). Recent developments in the field of ambulatory assessment and technological advances are promising to enhance our understanding of this relationship by analyzing longitudinal data within- and between-persons. These analyses can reveal important factors to design behavior change interventions to enhance PA. Therefore, this study used an ecological momentary assessment during the 3‑week intervention period in the SMARTFAMILY2.0 trial and aimed to investigate whether valence, calmness, energetic arousal, and sleep quality predict daily steps and moderate to vigorous PA. Overall, 49 adults (35–60 years) and 40 children (5–19 years) were included in this analysis and self-rated their mental state within our smartphone application while also wearing a hip-worn accelerometer for 21 consecutive days (996 days included) during the intervention period. Multilevel analyses were conducted to predict daily PA while considering covariables (e.g., child/adult and non-wear time) both within- and between-persons. The results indicated that higher than average ratings of a person’s valence and energetic arousal on one day predicted increased PA while higher than average calmness predicted decreased PA at the same day within this person. Sleep quality and between-person effects of the affective states showed no clear associations to PA. Overall, these results showed that within-person associations of valence, calmness, and energetic arousal should be considered when designing PA interventions for both children and adults. The influence of sleep quality, as well as between-person effects, should be further explored by future studies.

SpringerLink