Skills development and training of vulnerable youth from low-income households using quasi experimental research

The need to distinguish and bring the vulnerable group out of the general population and make a strong case to address their needs is significant. This comprehensive dataset includes relevant variables that can help identify vulnerable youth and design customized intervention that includes flexibility, financial aid, mentorship, and counselling that may help mitigate risk factors. 432 students were mobilized from SHGs, night schools, government schools and NIOS. Data for demographic, personal, and educational characteristics were collected from personal interviews and online questionnaire in multiple stages of intervention. A set of 130 closely matched students were selected from the larger database and subsequently divided into experiment and control groups. Data to test outcome was generated pre- and post-intervention using a 5-point Likert scale questionnaire consisting of 20 questions, divided into 3 domains. Scores were assigned to create a weighted baseline index with a score range of 20 to 100 in each domain. SATA was utilized to analyze data. Data collection process is conditioned to maintain equality of two groups that are subject to quasi-experiment. Relevant economic and social variables to identify vulnerability patterns and their possible bearing on vocational training requirements are closely matched. Due to the small sample size, Skewness-Kurtosis test for Normality is used to ensure data follows normal distribution and to test the validity of t-test.