Dear colleagues,

We are conducting a meta-analysis on postural sway assessed using a stabilometric platform upon viewing passively stimuli of different valences (Positive, Negative and/or Neutral), along with co-authors Prof. Besche-Richard (University of Reims Champagne Ardenne), Dr. Chaby (University Paris Cité) and Prof Vergilino-Perez (University Paris Cité).

We would be grateful for any unpublished data that come from experimental studies and involve measures of any of the following postural measure:

1. CoP-AP (Mean Antero-Posterior [AP] coordinate/distance)
2. CoP-AP maximal distance
3. Root mean square AP distance
4. CoP-AP direction
5. Coefficient of sway direction
6. Constant error in body leaning
7. Root Mean Square of error in body leaning
8. Principal Sway Direction
9. Sway length path
10. AP Total Sway length
11. Sway area per second
12. Length over area
13. Mean Power Frequency
14. Sway area
15. CoP-AP amplitude/range
16. CoP-ML [Medio-Lateral] amplitude/range
17. SD CoP-AP
18. SD CoP-X

in combination with passive viewing of stimuli that could be categorized as at least two of the three possible valence:

1. Positive (e.g., happy faces, Babies, Family pictures, appetizing food, Erotic, etc.)
2. Negative (e.g., Angry faces, Mutilation, Painful situations, Disgust-eliciting content, etc.)
3. Neutral (Neutral objects, Blank screens, neutral faces, etc.)

In addition, we are interested in any moderating variable (personality measure(s), clinical outcome) that might have been measured during the study.

We are interested in the difference and standard deviations in any of the aforementioned postural measures between any of the valence condition (i.e., positive, negative, neutral) in non-clinical samples. We would be happy for the authors to share either their datasets or summary statistics with sample sizes, demographic information, country which most participants were recruited from, year of collection of the sample, sample types (students, convenience sample, MTurk/Prolific, representative sample), remuneration if relevant (course-credits, financial compensation).

We would be grateful if you could send either the summary scores or the raw data themselves (from which we can calculate the effect size). While any raw data emailed to us will of course remain confidential, please know that summary scores included in the meta-analysis will be made publicly available in a dataset on the OSF.

The latest we will be able to accept your data for inclusion is 15th of February, 2024. Please, e-mail us at jean.moneger@univ-reims.fr

Thank you for considering our request.

Dr. Jean Monéger
University of Reims Champagne-Ardenne | University Paris Cité
jean.moneger@univ-reims.fr
https://jeanmoneger.com/