Margaux de Chanaleilles

11 posts

Margaux de Chanaleilles

Margaux de Chanaleilles

@mgx_dc

PhD Student @UGrenobleAlpes & @labosens Living in Nantes 🐘 Plant lover 💚

Nantes Katılım Ekim 2016
62 Takip Edilen25 Takipçiler
Margaux de Chanaleilles
What is the weight of weight when forming an impression of others? Our research indicates we pay more attention to others' weight, particularly when they're overweight. Could it be due to weight stigma? Preprint here ⬇️ osf.io/preprints/psya…
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Margaux de Chanaleilles
Our new opinion paper « Moving forward with health behaviour change interventions: Considering the plurality of motivational forces driving health behaviours and motivational conflicts » is freshly preprinted! Go throw an eye on it ⬇️ All your feedbacks are welcome 🤗
Cyril Forestier PhD@CForestier_PhD

📝 Hey! Our new preprint “Moving forward with health behaviour change interventions: Considering the plurality of motivational forces driving health behaviours and motivational conflicts” is available and await your feedbacks 🔗 psyarxiv.com/qvrzw/ 🧵A thread [1/10]

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Margaux de Chanaleilles retweetledi
Cyril Forestier PhD
Cyril Forestier PhD@CForestier_PhD·
📝 “From ego depletion to self-control fatigue: A review of criticisms along with new perspectives for the investigation and replication of a multicomponent phenomenon” is now online on Motivation Science 🔗 shorturl.at/hzCZ4 🧵A thread summarizing our theory [1/12]
Cyril Forestier PhD tweet media
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Cyril Forestier PhD
Cyril Forestier PhD@CForestier_PhD·
C’est ce matin à 10h, lien visio via-dessous 🙃
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Cyril Forestier PhD
Cyril Forestier PhD@CForestier_PhD·
In her #PhD, @mgx_dc would like to decompose and plot a 4 ways significant interaction composed of 3 categorical moderators (condition, target, prime), 1 continuous moderator (weight concerns). I never faced such interaction, does anybody knows how to do it? #RStats #Stats
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Margaux de Chanaleilles
Before COVID I conducted a study but data collection stopped, and it is difficult to restart because of the current situation (e.g., repeated lockdowns). I've 21 measurements / persons, n=15 (intensive longitudinal design) Idk what to do with these data ... What do you suggest?
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