Social Research

ALL BD in-house expertise are working in a wide range of quantitative and qualitative methodologies, supported by a highly skilled team of researchers, statisticians, thematic experts and technical specialists.
Survey Research
Our survey related services include survey design, sampling and weighting, questionnaire design, data collection, analysis as well as interpretative reporting.
We are committed to pursuing best practice of defining features of the Social and Market Research Centre. Our approach to design and conduct survey is based on the Total Survey Error (TSE) framework to ensure delivery of the premier quality research data.
Quantitative Research Services
Our organization delivers highly skilled quantitative research design and data collection mechanisms including online, mail, and telephone surveys. Our experience and expertise enable us to customize market research study to best meet clients’ goals and provide actionable results with prompt and reliable service.
Qualitative Research
We offer qualitative design, fieldwork, analysis and reporting services using full range of qualitative methods (focus groups, in-depth interviews, observation, case studies and online qualitative techniques). Each team has relevant expertise in conducting research with marginalized, vulnerable or disadvantaged groups on a range of public and social policy issues.
Cognitive interviewing
Our researchers conduct cognitive interviews with respondents to ‘test’ questions using ‘think aloud’ and probing techniques to identify comprehension, information retrieval, judgement, and question response.
Data Analytics
Analytics is the discovery, interpretation, and communication of meaningful patterns in data, especially valuable in high priorities areas. Analytical services include:
• Complex sample design for cross-sectional and longitudinal surveys
• Development and implementation of robust estimation methodologies and systems
• Application of advanced methods of data preparation and analysis to different types of survey data
• Application of item response modelling to the development and testing of survey questionnaires
• Customer segmentation, demand estimation and choice modelling
• Geospatial analysis
• Application of pattern recognition and natural language processing to analysis of survey responses
• Developing and presenting tailored training in statistical methods.