Shahnawaz Chachar conducted a comprehensive training session on research methods and survey techniques for a baseline survey team working on a project focused on Camel Jockey children. This project was implemented by the IRC (Indus Resource Center, Khairpur) and funded by UNICEF. The training took place in Shahdadkot and Ghotki, Sindh, Pakistan, and aimed to equip the survey team with the necessary skills and knowledge to conduct an effective and rigorous baseline survey. The training covered a wide range of topics, including best practices for conducting interviews (structured and semi-structured), various data collection methodologies (quantitative and qualitative), effective beneficiary selection strategies, and accurate data entry procedures. Emphasis was placed on ethical considerations in research, data privacy, and ensuring the validity and reliability of the collected data. This training was crucial for the project’s success, as the baseline survey data would inform program design, implementation, and evaluation.
Tag: Data Privacy
Survey Techniques Training for Data Collection and Beneficiary Selection
Shahnawaz Chachar provided specialized training to the data collection team and enumerators working on a UNODC-funded drug harm reduction and rehabilitation project implemented by CDNF (Community Development Network Foundation) in Larkana, Sindh, Pakistan, in March 2003. This training focused on equipping the team with the practical skills and knowledge needed for effective data collection and beneficiary selection. The training included hands-on exercises in sample data collection, guidance on determining appropriate sample sizes for field surveys, instruction in problem-solving techniques encountered during data collection, development of basic communication skills for interacting with respondents, emphasis on maintaining data privacy and confidentiality, and training on the proper use of reporting tools and forms. The training aimed to ensure the project’s data collection process was conducted ethically, accurately, and efficiently, leading to reliable data for program planning and evaluation.