Quantitative & Qualitative Research

Almost all of RPA’s project apply mixed methods approaches. This enables us to combine qualitative and quantitative evidence to provide more in-depth analysis and findings.

Quantitative research is a key area of our expertise, and we have experience in designing and executing surveys, questionnaires, and statistical analysis to measure specific variables and generate numerical data. Our team is proficient in analysing large datasets using advanced statistical techniques, providing in-depth insights into trends, behaviours, and perceptions. We also produce projections of future impacts, and use the quantitative data to produce monetary estimates of impacts: such as supply chain and employment benefits, and impacts on societies and the environment. We also critically review datasets using a data quality protocol in line with that developed by the Data Management Association. In this way, we ensure that we help clients make informed decisions based on reliable and valid data.

Our qualitative research focused around designing research studies that uncover deeper insights into motivations, perceptions, attitudes, and behaviours. We use a range of tools and techniques to analyse and interpret qualitative data, including thematic analysis, discourse analysis, and content analysis. With our qualitative research capabilities, we help clients understand the social and cultural contexts surrounding their business challenges, providing richer insights that inform decision-making.

Woman monitoring data on computer

Using both quantitative and qualitative research methodologies offers many benefits, including comprehensive insights, contextual understanding, triangulation, exploratory and confirmatory research, and real-world applications. By combining both approaches, we capture both the “what” and the “why” aspects of the research topic, providing a more holistic view of the subject matter. The convergence of quantitative and qualitative data provides stronger evidence and reduces the risk of bias or misinterpretation, enhancing the reliability and credibility of research outcomes.

At RPA, we are committed to providing our clients with the most effective research methodologies to address their challenges. By applying mixed methods, we help our clients gain a comprehensive understanding of the policy, programme, strategy or project issues, enabling them to make informed decisions based on reliable and valid data.