Quantitative data management and analysis using NVIVO
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