Empirical research requires good data to complement statistical rigor in providing answers to global poverty questions. Poor data quality can lead to biases in causal inference, lower the probability ...

Lastly, paper-based systems are simply not an appropriate method with which to capture large, complex data sets. Overall, the pros of manual data collection ... in the research lab or monitor ...

Data collection is the process of gathering and measuring information used for research. Collecting data ... either written in a lab notebook and or recorded digitally on a computer system. While ...

A new study reveals that students learn best through prediction activities, even though they don't realize it. This idea is ...

For example, in a recent dental public heath study, 5 school children ... focus groups remain the most common methods of data collection in qualitative research, and are now being used with ...

producing certified reference materials and applying stable isotopic techniques to study pollution processes and fingerprint pollutants’ sources. The Laboratory’s work focuses on developing and ...

Join the BeLab Participant Pool to participate in paid online or in-person studies on topics ... The Behavioral Research Services team supports HBS-affiliated project work, training, and consultations ...

This programme reflects the expertise of our School of Sociology, Politics and International Studies in research methods training ... in the variety of qualitative and quantitative data collection ...

We applied both quantitative and qualitative methods. An advisory group supported this study, composed of patients ... approach to implementation, data extraction and analysis. Research is also ...