Research Design, Mobile Data Collection and Data Analysis using NVIVO and STATA Course

Introduction

New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.

It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts. How can organizations better manage the process of converting the potential of data science to real development outcomes. This ten days hands-on course is tailored to put all these important consideration into perspective. It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost effective data and reports that are useful and friendly for decision making.

It will be conducted using ODK, GIS, NVIVO and STATA

Duration

10 Days

Course Objectives

o   Understand and appropriately use statistical terms and concepts

o   Design and Implement universally acceptable Surveys

o   Convert data into various formats using appropriate software

o   Use mobile data gathering tools such as Open Data Kit (ODK)

o   Use GIS software to plot and display data on basic maps

o   Qualitative data analysis using NVIVO

o   Workflow use commands in STATA

o   Manage, edit and structure large databases in STATA

o   Generating descriptive statistics in STATA

o   Creating powerful publication-quality graphs in STATA

o   Data Analysis/Estimations in STATA

o   Write reports from survey data

o   Put strategies to improve data demand and use in decision making

Who Should Attend?

This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling.

Topics to Be Covered

Module1: Basic statistical terms and concepts

o   Introduction to statistical concepts

o   Descriptive Statistics

o   Inferential statistics

Module 2: Research Design

o   The role and purpose of research design

o   Types of research designs

o   The research process

o   Which method to choose?

o   Exercise: Identify a project of choice and developing a research design

Module 3: Survey Planning, Implementation and Completion

o   Types of surveys

o   The survey process

o   Survey design

o   Methods of survey sampling

o   Determining the Sample size

o   Planning a survey

o   Conducting the survey

o   After the survey

o   Exercise: Planning for a survey based on the research design selected

Module 4: Introduction

o   Introduction to Mobile Data gathering

o   Benefits of Mobile Applications

o   Data and types of Data

o   Introduction to  common mobile based data collection platforms

o   Managing devices

o   Challenges of Data Collection

o   Data aggregation, storage and dissemination

o   Types of questions

o   Data types for each question

o   Types of questionnaire or Form logic

o   Extended data types geoid, image and multimedia

Module 5: Survey Authoring

Module 6: Preparing the mobile phone for data collection

Module 7: Designing forms manually: Using XLS Forms

Module 8: Advanced survey Authoring

Module 9: Hosting survey data (Online)

Module 10: Hosting Survey Data (Configuring a local server)

Module 11: GIS mapping of survey data using QGIS

Module 12: Understanding Qualitative Research

Module 13: Preliminaries of Qualitative data Analysis

Module 14: Introduction to NVIVO

Module 16: Nodes in NVIVO

Module 17: Classes and summaries

Module 18: Coding

Module 19: Thematic Analytics in NVIVO

Module 20: Queries using NVIVO

Module 21: Building on the Analysis

Module 22: Qualitative Analysis Results Interpretation

Module 23: Visualizing NVIVO project

Module 24: Triangulating results and Sources

Module 25: Report Writing

Module 26: Introduction to Statistical concepts and general analytics IN STATA

Module 27: Familiarizing with the application

Module 28: Charting and Graphical presentation using Stata

Module 29: Statistical Tests using Stata

Module 30: Measures of Associations in Stata

Module 31: Predictive Models using Stata

Module 33: Panel Data Analysis using Stata

Module 34: Time Series Analysis using Stat

Module 35: Econometric Analysis

Module 36: Report writing for surveys, data dissemination, demand and use