R-DATS can support your research, evaluation or programme from beginning to end as a full-service. We also support clients who do not desire a full service but rather la carte research, monitoring, evaluation, survey or statistical services, among others. R-DATS offers a wide range of services which include:
Impact evaluation methods and designs. These include Experimental, quasi-experimental and non-experimental research designs. We have expertise in the use of matching methods, regression discontinuity, difference-in-differences, most-significant-change (MSC), quantitative, qualitative, and mixed methods. Others include large-scale cross-sectional surveys, longitudinal studies, case and cohort studies in various development and humanitarian sectors.
Literature reviews, scoping, proposal development.
Design or expert feedback on evaluation plans i.e outcome, process, programme and formative evaluations. We also conduct Need and Evaluability Assessments.
Design or revise data collection and M&E tools (e.g indicator tracking, interview guides and surveys).
Quantitative and qualitative data collection and data quality assurance (e.g. surveys including baseline, midline and end line surveys, FGDs, IDIs, KIIs, Observations etc.).
Digital survey programming using ODK, SurveyCTO, Survey Solutions, SurveyToGo, KoboCollect, CSPro, CommCare, and Enketo, – among others. We systematically link digital survey tools with Google sheets and other software to produce a dashboard of real-time data collection progress and update.
Market research (quantitative and qualitative protocols).
These include statistical methods, econometric models, demographic models, survey sampling, power calculation and analysis, randomization, advanced survey analysis using preferred statistical software by clients. Others include value for money analysis.
Measurement and evaluability of SDG indicators, analysis of existing data and database including household surveys including demographic and health surveys (DHS) and Multiple Indicator Cluster Surveys (MICS). See a sample of our blog using MICS data for Sub-Saharan African countries: Read Here
We pride ourselves with highly dedicated world-class statistics and Data Analytics team members who specialize in the use of various statistical and data visualization software such as STATA, SPSS, R, Python, Tableau and Power BI among others.
We support setting up a monitoring and evaluation system to ensure that the project runs effectively and efficiently, and result-based management (RBM) principles are adhered to.
We provide institutional and sector analysis to help clients understand
the social, political, and economic context of a particular industry or sector.
Our institutional analysis examines the
rules, norms, and values that shape organizational behavior and outcomes, while
our sector analysis focuses on industry trends and competitive dynamics that
affect organizational performance. This allows us to provide clients with a
comprehensive understanding of their external environment, informing their
strategic decision-making and helping them achieve their goals.
We support donors, organizations and agencies in monitoring their programmes and activities, and produce evidence of actual results on ground in West and East Africa.
R-DATS Opinion Polling Unit (ROPU) captures the opinions of the general public on socio-economic topical issues. ROPU has capacity to design or refine opinion polls strategies and tools including phone bank set-up, while observing high data quality protocols and applicable local and international ethical standards.
We support organizations, government agencies and non-profits that want to invest in the effectiveness, future sustainability and ability to deliver its mission through capacity building. We offer trainings on research and evaluation methods, monitoring and evaluation systems, knowledge management, statistical analyses and software packages, data privacy training, among others. We don’t just train or build capacity of an organization, we follow-up to assess the impact of the training using appropriate evaluation methods.
