Benji Kaveladze

@benji700.bsky.social

Postdoc at Dartmouth, studying how to help everyone struggling with mental health get access to high-quality support that they resonate with. 📧: benjamin.t.kaveladze@dartmouth.edu

Only ONE consistently predicted intervention effectiveness: The interventions’ specificity to the outcomes measured. No other features we tested here (attentional ease, presence of images, videos, or questions, length, conceptual construction, etc.) predicted interventions' effect sizes. 2/2

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I'm looking for a postdoc to work on our NIH-funded R01 which is a longitudinal cohort of adolescents (13-20) doing EMA and passive text sensing! Please apply, especially if you have experience in the analysis OR collection of these data. PLEASE SHARE!! indiana.peopleadmin.com/postings/32132

Postdoctoral Researcher

Postdoctoral Researcher Study of Affective Disorders’ Classification and Treatment (SADCAT) Lab  Dr. Lorenzo-Lorenzo LuacesDepartment of Psychological and Brain Sciences at Indiana University Blooming...

indiana.peopleadmin.com

Do you want to work with me?:) Please spread the word! We are looking for talented Post-doc candidates for a 10-month Junior Fellowship at the Behavioral Science Center, hosted by the Corvinus Institute for Advanced Studies (CIAS). 1/6 www.the-bs-lab.com

Behavioral Science

What do we do? We conduct large-scale behavioral science studies to improve the daily decisions, behavior, and experience of vulnerable individuals (e.g., the well-being of citizens and families / ed...

the-bs-lab.com

🚨 New Preprint 🚨 Some people are at greater risk of experiencing negative mental health outcomes of social media use than others, but why? 🧵 We examined whether individual differences in cognitive processes shape risk and resilience to mental health effects on social media: osf.io/preprints/ps...

Had missed this absolutely brilliant paper. They take a widely used social media addiction scale & replace 'social media' with 'friends'. The resulting scale has great psychometric properties & 69% of people have friend addictions. link.springer.com/article/10.3...

Development of an Offline-Friend Addiction Questionnaire (O-FAQ): Are most people really social addicts? - Behavior Research Methods

A growing number of self-report measures aim to define interactions with social media in a pathological behavior framework, often using terminology focused on identifying those who are ‘addicted’ to engaging with others online. Specifically, measures of ‘social media addiction’ focus on motivations for online social information seeking, which could relate to motivations for offline social information seeking. However, it could be the case that these same measures could reveal a pattern of friend addiction in general. This study develops the Offline-Friend Addiction Questionnaire (O-FAQ) by re-wording items from highly cited pathological social media use scales to reflect “spending time with friends”. Our methodology for validation follows the current literature precedent in the development of social media ‘addiction’ scales. The O-FAQ had a three-factor solution in an exploratory sample of N = 807 and these factors were stable in a 4-week retest (r = .72 to .86) and was validated against personality traits, and risk-taking behavior, in conceptually plausible directions. Using the same polythetic classification techniques as pathological social media use studies, we were able to classify 69% of our sample as addicted to spending time with their friends. The discussion of our satirical research is a critical reflection on the role of measurement and human sociality in social media research. We question the extent to which connecting with others can be considered an ‘addiction’ and discuss issues concerning the validation of new ‘addiction’ measures without relevant medical constructs. Readers should approach our measure with a level of skepticism that should be afforded to current social media addiction measures.

link.springer.com

Can large language models stand in for human participants? Many social scientists seem to think so, and are already using "silicon samples" in research. One problem: depending on the analytic decisions made, you can basically get these samples to show any effect you want. THREAD 🧵

The threat of analytic flexibility in using large language models to simulate human data: A call to attention

Social scientists are now using large language models to create "silicon samples" - synthetic datasets intended to stand in for human respondents, aimed at revolutionising human subjects research. How...

arxiv.org

New preprint! A Crowdsourced Megastudy of 12 Digital Single-Session Interventions for Depression in American Adults What's the best way to help someone overcome depression with just 10 minutes of their time online? We ran a trial (n=7,505) testing 12 diverse interventions. osf.io/preprints/ps...

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Are you a person of color interested in using a mindfulness app to improve your mental well-being? You can earn up to $140 for participating in this study. Help us make these apps better for people like you! Eligibility: redcap.link/gjmdtwjc Please participate and share 🤓

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