Child Rearing Patterns as Predictors of In-School Adolescents’ Maladaptive Behaviours in Very Low-Income Rural Communities in Nigeria
Bibliographic record
Abstract
BACKGROUND/OBJECTIVE: The debate about the interaction between the individual student and learning environment (home) is still ongoing and inconclusive. Parents are modelled and they establish basic patterns at home which may never stop as teens develop. This study investigated child-rearing patterns as predictors of in-school adolescents’ maladaptive behaviours in very low-income rural communities in Nigeria. METHOD: The study was a cross-sectional correlational survey. Two hundred and sixty-one parents and teachers in Enugu and Ebonyi States of Nigeria participated in the study. Teachers identified the students with Conners' Comprehensive Behavior Rating Scales (CBRS). Parents whose children were identified answered the Child Rearing Pattern Questionnaire (CRPQ). The validity of the instruments was ascertained by three experts. Pearson Product Moment Correlation was used to address the research questions, while the null hypotheses were analyzed using regression at an alpha level of significance of 0.05. RESULTS: Results revealed in-school adolescents in very low-income rural communities in Nigeria exhibit maladaptive behaviours. It was found that 4.7% of in-school adolescents’ maladaptive behaviours can be attributed to the authoritarian child-rearing pattern while 12% of maladaptive behaviours among in-school adolescents can be attributed to the authoritative child rearing pattern. Authoritative and authoritarian child-rearing patterns did not significantly predict the maladaptive behaviours of in-school adolescents from very low-income rural communities. CONCLUSION: The findings of this study highlight the need for researchers to check out whether and how several other factors in the school that may contribute significantly to in-school adolescents’ maladaptive behaviours such as peer influence, disciplinary measures, school environment and even curriculum and pedagogy.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".