Quantitative data management and analysis using NVIVO Course.

Course Objectives
Upon successful completion of this course in Quantitative data management and analysis using NVIVO participants should be able to:
 Discuss the relevance of reliable data collection process in Research
 Design appropriate research instruments
 Use relevant computer packages for data management and extrapolation
 Link research results to successful policy implementation
 To introduce the concepts of monitoring and evaluation and the value of implanting it in programs/projects
 To focus participant’s attention on monitoring and evaluation study designs
 M&E Data Management and Analysis
 To introduce participants to GIS software, data capture methods, analysis, data importation and mapping
indicators using GIS Techniques)
 Get hands on skills on SPSS, STATA & NVIVO
 Conduct Project Evaluations
 Engage in Project Operational Research
 Embrace use of data in informed decision making
Main Modules
 Fundamental concepts and tools for monitoring and evaluating programs Advanced Microsoft Excel.
 Observational data, quasi-experiments and correlation studies
 Social experiments, natural experiments and Randomized control trials Qualitative evaluation designs
 Conceptual issues in M&E data Data types and sources Planning data Collection
 Selecting study elements (Sampling) ICT tools for Data processing Comparison of Data analysis packages
Basic data quality checks
 Basic exploratory data analysis procedures
 Introduction to Quantitative analysis (Descriptive Summaries, Data Tabulation methods) o Graphing
qualitative data Graphing Quantitative data
 Performing common inferential statistical test (t-test, correlation, Chi Square, Analysis of variance
(ANOVA)
 Regression Analysis and Econometrics