Emotional Intelligence of Early Adolescent Students in Obio-Akpor Local Government Area, Rivers State: The Predicting Roles of Self- Efficacy and Locus of Control
Bibliographic record
Abstract
The study assessed how the emotional intelligence of early adolescents in Obio-Akpor local government area, Rivers State is predicted by their self-efficacy and locus of control. Data from 395 out of 29,058 respondents were obtained using descriptive and correlational survey design following multi-stage sampling techniques. Four research questions and 3 null hypotheses guided the study. A structured questionnaire, emotional intelligence scale, Levenson’s multidimensional Locus of Control Scale, and General Self-Efficacy Scale were instruments used for data collection. Cronbach alpha reliability index was used to calculate the reliability of the instruments and scores of 0.83, 0.89 and 0.83 were obtained respectively. The obtained data were analyzed in IBM SPSS version 23 using descriptive and inferential statistics at p < 0.05. The findings revealed that emotional intelligence and locus of control levels among adolescents were low respectively. A high self-efficacy status was however recorded among the respondents. Locus of control and self-efficacy predicted emotional intelligence by 35%. Being a male or a female was associated with emotional intelligence and self-efficacy in adolescents. In addition, being a border or day student was associated with the adolescents’ emotional intelligence, locus of control, and self-efficacy. Emotional intelligence, locus of control, and self-efficacy differed based on the type of school the adolescents attend. Based on the findings, it was recommended that education programs targeted at enhancing the ability of adolescents to recognize and differentiate feelings should be organized by schools and governmental and non-governmental organizations.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".