Adolescent self‐construal across cultures: Measurement invariance of the Aspects of Identity Questionnaire‐IV in 30 countries
Bibliographic record
Abstract
Despite the critical role of culture in understanding adolescent self and identity, there is a lack of cross-culturally validated measures of adolescent self-construal. The present study evaluated cross-national measurement invariance of the Aspects of Identity Questionnaire-IV (AIQ-IV), assessing four dimensions of self-construal: personal, relational, public, and collective. The sample included 16,795 adolescents aged 14-19 years from 30 countries across four continents. The four-factor structure of the AIQ-IV obtained using exploratory structural equation modeling (ESEM) was supported in the vast majority of countries. Exact invariance testing using multi-group ESEM supported configural invariance, indicating that the overall structure of the AIQ-IV was similar across countries. Full scalar invariance was supported only on a subset of countries (i.e., when tests were conducted using European countries grouped by UN geographical regions). An alignment approach provided evidence for the approximate invariance of the ESEM model, with 15.6% of parameters showing noninvariance and allowing for comparison of latent means. The largest number of noninvariant parameters was evident in Asian countries, with items assessing collective-interdependent aspects of identity showing the most variation across countries. A comparison of mean levels of identity orientations across countries revealed that culture-level dimensions of collectivism-individualism do not translate simply into individual-level dimensions of self-construal.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".