Pro-environmental behaviour, connectedness with nature, and the endorsement of pro-environmental norms in youth: Longitudinal relations
Bibliographic record
Abstract
The present study was meant to investigate longitudinal change in pro-environmental behaviour from the early teenage years to early adulthood as it relates to changes in nature connectedness and the endorsement of pro-environmental norms. A cross-sequential study design was used in which two cohorts of Canadian adolescents (12- to 14-year-olds, n = 220, 110 females, and 18- to 20-year-olds, n = 390, 305 females) were followed up longitudinally over four years and three waves of data collection. All measures were based on Rasch scales. Latent growth models demonstrated non-linear change in both cohorts. Pro-environmental behaviour, connectedness with nature and norm endorsement significantly increased in the first two years of the longitudinal study, while this increase levelled off thereafter. Cross-lagged panel analyses demonstrated that nature connectedness and endorsement of pro-environmental norms reciprocally predicted pro-environmental behaviour in both cohorts, with one dominant path from pro-environmental behaviour to norm endorsement. As adolescents and young adults continue to engage in pro-environmental behaviour, they increasingly tend to endorse pro-environmental norms. Connectedness with nature and norm endorsement, by contrast, did not evidence any cross-lagged relationship. Overall, the study provides valuable insights into how the disposition to engage in pro-environmental behaviour forms in youth.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".