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Record W4411891729 · doi:10.1080/28367138.2025.2505579

Self-Efficacy of Emerging Adulthood in United States, Canada, Turkey, and Russia

2025· article· en· W4411891729 on OpenAlexaffabout
Jinli Wu, Yulia Chentsova-Dutton, Samuel Freel, Andrew G. Ryder, Derya Gürcan-Yıldırım, Ilya Zakharov

Bibliographic record

VenueJournal of College Student Mental Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsConcordia UniversityJewish General Hospital
Fundersnot available
KeywordsPolitical scienceGeography

Abstract

fetched live from OpenAlex

Self-efficacy is a psychological resource critical to human development. Although general self-efficacy during emerging adulthood has been studied, little is known about domain-specific self-efficacy relevant to the unique challenges of this developmental stage. To address this gap, we developed and conducted preliminary testing of a pilot measure of domain-specific self-efficacies in emerging adulthood, termed Emerging Adulthood Self-Efficacy (EASE). The EASE item pool was generated through a cross-cultural literature review of criteria deemed important for becoming an adult. This questionnaire was administered to a total of 626 participants from four countries – the United States, Canada, Turkey, and Russia. Iterative exploratory factor analysis, using parallel analysis, was employed to identify a set of items that shared a similar factor structure across the four cultural groups. The final 15-item EASE questionnaire covers six domains: (1) sociopolitical engagement, (2) romantic relationships, (3) practical functioning, (4) mental health awareness, (5) independent value system, and (6) physical health management. We found that EASE was positively associated with retrospectively reported parental autonomy support and negatively associated with emotional distress, including depression, anxiety, and stress. These associations were not moderated by cultural group. The EASE questionnaire offers a useful tool for demographers, clinical practitioners, researchers, and policymakers who work with young adults navigating the transition to adulthood.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.350
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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