Sociocultural Adjustment and Well-being Among Third Culture Kids and Their Families: Protocol for a Longitudinal Study
Bibliographic record
Abstract
BACKGROUND: Increasing globalization has led to more families with children being relocated each year, highlighting the importance of issues, such as adjustment and psychological well-being, in this population. These children, commonly known as third culture kids, often spend a significant part of their developmental years in countries and cultures foreign to them. OBJECTIVE: Our longitudinal study aims to examine the roles of cognitive, psychological, sociocultural, and family factors in the longitudinal trajectories of the well-being and sociocultural adjustment of third culture kids and their families over time. METHODS: This study adopts both quantitative and qualitative procedures. Data from both procedures will be collected at baseline and at a 1-year follow-up. We aim to recruit 150 to 200 participants between 7 and 17 years old and one of their primary caregivers. After providing informed consent, participants will complete an online survey. Outcome measures include validated questionnaires on well-being and sociocultural adjustment. Predictor measures include validated questionnaires on negative self-thoughts, emotion regulation, resilience, psychological attributes, self-esteem, stress, acculturative stress, cultural intelligence, couple satisfaction, and family functioning. A multiple regression model will be used to analyze quantitative data. In addition, 15 to 20 families who participate in the online survey will be randomly selected to take part in a family interview focusing on questions related to well-being, relocation experiences, cultural issues, and challenges. A concurrent triangulation mixed methods design will be used to analyze and interpret data from both quantitative and qualitative methods. RESULTS: As of March 15, 2022, a total of 138 children and 126 parents have completed the baseline online survey. In addition, 44 children and 48 parents have completed the 1-year follow-up online survey. A total of 8 families have completed the baseline family interview, while 4 families have completed the 1-year follow-up interview. Data analyses, transcription of the interview, and preparation for publication are on-going. CONCLUSIONS: Findings from this study would enable us to understand the adjustment processes, and risk and protective factors associated with the well-being and sociocultural adjustment of third culture kids and their families in Switzerland, which could have implications on the development of intervention programs for individuals and families to address acculturation and adjustment issues. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/30088.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".