Peer-reviewed article
Public Opinion on Causes of Child Labour
Pranav Aditya. B, B Sreeya ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study examines public opinion about the causes of child labour among 1604 respondents. The research uses descriptive statistics to analyse associations between respondents' age and their views on child labour causes, including poverty, food insecurity, orphan status, lack of education, and compulsion. The study aims to understand what people believe drives child labour, which is defined as work that harms children's development and prevents school attendance. No country location is specified in the document.
Key points
- Sample size of 1604 respondents across unspecified location(s)
- Dependent variables included: increasing child labour incidence, sector, food insecurity, orphan status, poverty, lack of education, and compulsion
- Statistical methods used: Chi-square, independent sample T-test, and ANOVA to test associations with respondent age
- Study mentions interventions to bring out-of-school children and street children back to formal education
Limitations
The document does not specify which country or countries the study was conducted in, making it impossible to assess geographic relevance. The abstract is poorly written and lacks clear reporting of actual findings, methodology details, or results, severely limiting understanding of what was actually discovered.
Abstract
Child labour refers to the exploitation of children through any style of work that deprives children of their interferes with their ability to attend regular faculty, and is mentally, physically, socially or morally harmful.To understand the causes of child labour.The objectives of the study is to analyse the association between the opinion of child labour and age of the respondents.For the purpose of the study descriptive research is used. 1604 samples-sample size.Dependent variables are increasing of Child labour, sector of Child labour, food, orphan, poverty, non-educated, and compulsion. Chi-square,independent sample T test, and ANOVA are used as tools for the study. Effectively bringing pull out of younger students (dropouts and both never-been-to-younger students), road kids, and youngster workers to class.