Using a combination of qualitative and quantitative data improves an evaluation by ensuring that the limitations of one type of data are balanced by the strengths of another. This then ensures that understanding is improved by integrating different ways of knowing. Some of the values of using both qualitative and quantitative research methods include the ability to enriching data, examining findings, explaining findings and triangulation. Mixed methods approach can offer a powerful resource to inform and illuminate the answers that different researched seek.

If we want to broaden or deepen our understanding of how things came to be the way they are in our social world, qualitative research has no substitute. In recent years, there has been an increase in the number of qualitative studies been carried. Qualitative research usually produces large amounts of textual data in the form of transcripts and field notes. The systematic and rigorous preparation and analysis of qualitative data are usually time-consuming and Labour intensive^. To lessen this burden, it is important that researchers become aware of NVivo. 

The exercise of data collection remains indispensable in capturing quality evidence that then translates to rich data analysis and allows the building of a convincing and credible answer to questions that have been posed. With different organizations, professional, Programmes and projects collecting data regularly to evaluate and monitor progress and performance, best practices of data collection are more needed than ever to ensure that data gathered are both defined and accurate and that subsequent decisions based on arguments embodied in the findings are valid.

Excel has powerful tools that enable busy users to set up systems that simplify data analysis and interpretation. Effectively using Excel allows users to devote their time more profitably to making decisions about and acting on results, with more effective outcomes. Participants actively learn through a series of practical simulations which ensures that they maximize their learning and can use the tools immediately when they return to the office. In addition to the practical component, all participants also receive a manual describing all the techniques learned.

The data processing is responsible for manual editing and coding of questionnaires, data entry, computer editing and tabulation of products like the population database for all Surveys and Censuses. The data processing division has established its editing, coding and data entry in different spaces of place. The Census and Survey Processing System (CSPro) is a tool for entering, editing, tabulating and disseminating data from surveys and censuses. This training is very practical consisting of demonstrations, practical exercises, and tests.

This training on ODK for Monitoring and Evaluation emphasizes why Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs.

The exercise of data collection remains indispensable in capturing quality evidence that then translates to rich data analysis and allows the building of a convincing and credible answer to questions that have been posed. With different organizations, professional, Programmes and projects collecting data regularly to evaluate and monitor progress and performance, best practices of data collection are more needed than ever to ensure that data gathered are both defined and accurate and that subsequent decisions based on arguments embodied in the findings are valid.

Stata statistical software is an interactive data management and statistical analysis program, which has become very popular among researchers in most disciplines. The programme provides a broad range of statistics. It is very user-friendly and the tremendous potential of Stata to benefit the data management process is extremely amazing and exciting to explore.  It

All researchers are based on some underlying philosophical assumptions about what constitutes valid research and which research design and methodology method(s) is/are appropriate for the development of knowledge in a given research. In order to conduct and evaluate any research, it is therefore important to come up and embrace appropriate Research Design & Methodology, Data Management, Analysis, Inferences and Reporting standards for decision making.

Using a combination of qualitative and quantitative data improves an evaluation by ensuring that the limitations of one type of data are balanced by the strengths of another. This then ensures that understanding is improved by integrating different ways of knowing. Some of the values of using both qualitative and quantitative research methods include the ability to enriching data, examining findings, explaining findings and triangulation. Mixed methods approach can offer a powerful resource to inform and illuminate the answers that different researched seek.