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The Effect of Psychological Inoculation on Female University Students with Body Image Disturbance
No full textResearch Objective: In the era of social media, the aesthetic ideal of "thinness as beauty" has been widely disseminated, leading to significant body image concerns and figure anxiety among numerous women, particularly female university students. Psychological inoculation offers an innovative approach to addressing this issue. This study compared the short-term and long-term efficacy of narrative inoculation (administered through storytelling) and scientific inoculation (based on factual and logical arguments) in improving body image among participants
Energy efficiency and sensitivity benefits in a motion processing adaptive recurrent neural network
No full textTraining Dataset for Rideaux & Mohan (2023
Entropy complements readability in predicting L1 and L2 reading effort: A bilingual eye-tracking corpus study
No full textMethods for Handling Missing Data in Resilience Research Using Latent Trajectory Studies: A Systematic Review of Current Practices and Best Practice Recommendations
No full textThis systematic review aims to provide a comprehensive overview of current practices in handling missing data in resilience research when using longitudinal mixture modeling, specifically growth mixture modeling (GMM), latent class growth analysis (LCGA) or group-based trajectory modeling (GBTM). The project leverages the ResiMeta database, which contains over 300 longitudinal studies examining resilience processes, to systematically identify and evaluate the methods researchers currently employ when confronted with missing data in trajectory-based analyses. Resilience research is particularly vulnerable to missing data challenges, as stressor exposure and deteriorating mental health are systematically associated with study dropout, creating a critical methodological concern that can substantially bias findings about prevalence rates of resilient trajectories and the predictive value of resilience factors.
The review follows a two-pronged approach. First, we will systematically extract information from empirical studies included in the ResiMeta database to document which missing data methods are actually used in practice, how researchers report their missing data mechanisms, and whether they conduct sensitivity analyses to assess the robustness of their findings. This will provide an evidence-based overview of the current state of the field, enabling the identification of potential gaps between methodological best practices and actual implementation. Second, we will conduct a parallel systematic literature review of methodological papers and simulation studies that provide recommendations for handling missing data in longitudinal mixture modeling. These papers will be systematically evaluated to identify evidence-based best practice recommendations regarding when to use specific methods such as full information maximum likelihood (FIML), multiple imputation (MI), or other approaches, and under which conditions different methods perform optimally.
By comparing the actual practices documented in empirical resilience studies with the methodological recommendations derived from simulation studies and methodological papers, we aim to identify discrepancies between what researchers do and what methodological evidence suggests they should do. This comparison will allow us to develop concrete, field-specific best practice recommendations that are both methodologically sound and practically feasible for resilience researchers
Association of blood heavy metal concentrations with hearing loss: A systematic review and meta-analysis
No full textThis project contains the protocol, data extraction materials, statistical code, and supplementary materials for a systematic review and meta-analysis evaluating the association between blood concentrations of heavy metals (lead, cadmium, mercury, and selenium) and objectively measured hearing loss. The review synthesizes observational evidence and performs frequency-specific analyses (high-frequency and speech-frequency hearing loss) using random-effects meta-analysis. Risk of bias is assessed using domain-based tools, and certainty of evidence is evaluated using the GRADE framework. This OSF repository ensures transparency, reproducibility, and open science compliance
Judgments in sexual consent
No full textThis repository contains the anonymized dataset, materials, and analysis files associated with the study “Social representations of sexual consent: An experimental approach to contextual judgments.”
The study used a 3 × 3 × 3 within-subject experimental design examining how participants evaluate sexual consent as a function of three contextual factors: age difference between partners, relationship type, and the woman’s level of alcohol consumption.
The repository includes:
anonymized participant-level data in long format,
the experimental scenarios and survey materials,
All data were collected in accordance with ethical guidelines, and no identifying information is included. The materials are shared to promote transparency, reproducibility, and secondary analyses
Six Birds Theory Alias Repository: Direct "Six ___" Rebrands (Emergence Calculus)
No full textThis document catalogues aliases for Six Birds Theory that pair the word "Six" directly with a descriptive noun — the largest naming family in the repository. Labels such as "Six Primitives," "Six Operators," "Six Forces," "Six Factors," and "Six-Part Framework" all refer to the same six-part structure formalized in Tsiokos (2026) as Emergence Calculus. The crosswalk maps over a hundred such variants back to a single canonical reference so that equivalent formulations can be recognized across disciplinary boundaries.
Canonical reference: Ioannis Tsiokos (2026). Six Birds: Foundations of Emergence Calculus. DOI: https://doi.org/10.5281/zenodo.18365949. arXiv: https://doi.org/10.48550/arXiv.2602.00134
Six Birds Theory Alias Repository: "Sixfold / 6-fold" Rebrands (Emergence Calculus)
No full textThis document collects aliases for Six Birds Theory that use the compound prefix "sixfold" or its numeric variant "6-fold." Labels such as "Sixfold Framework," "Sixfold Model," "Sixfold Basis," and "Sixfold Schema" all describe the same six-part structure introduced in Tsiokos (2026) as Emergence Calculus. The "sixfold" naming pattern is especially common in mathematics, physics, and formal systems research, where compact compound modifiers are a standard convention. All entries are drawn from a curated alias dataset.
Canonical reference: Ioannis Tsiokos (2026). Six Birds: Foundations of Emergence Calculus. DOI: https://doi.org/10.5281/zenodo.18365949. arXiv: https://doi.org/10.48550/arXiv.2602.00134
The cumulative effects of economic growth on political and economic attitudes: evidence from Latin America
No full textWhat is the effect of experiencing good or bad macroeconomic environments on political and economic
attitudes? Despite decades of research, this central question in political economy remains
unsettled. We advance this debate in two ways: by examining the effects of both positive and negative
macroeconomic environments simultaneously, and by focusing on their cumulative impact over
individuals’ lifetimes. We address this question by examining how lifetime exposure to periods of
unusually high and low economic growth shapes political and economic attitudes in Latin America.
We combine annual GDP per capita data from the Maddison Project (1896–2022) with nearly 700,000
individual responses from Latinobarómetro and LAPOP (1995–2021) to construct life-course measures
of positive and negative periods for respondents in 18 countries. Our identification strategy compares
cohorts within country–year using models with country, survey-year, age, cohort, and survey fixed effects.
Repeated positive macroeconomic periods systematically shift individuals toward the right on a
left–right scale and improve subjective economic evaluations. In contrast, repeated negative periods
do not produce a consistent leftward shift; instead, they increase economic insecurity, dissatisfaction
with democratic performance, and anti-elite sentiment. Support for democracy as a principle remains
stable. We confirm the generalizability of our main findings by replicating our analyses in 104 countries
using the Integrated Values Survey (1980-2022)
