Research Design, Mobile Data Collection and Mapping and Data Analysis using NVIVO and R Course
Details
Course Date: 23rd September – 04th, October 2019 for 10 Days
Register here as individual or group to attend: http://tinyurl.com/y54umqzw
Download PDF 2019 Calendar - https://bit.ly/2T3aCPv
Organizer: Foscore Development Center
Course Fee: $ 2,000
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 R
DURATION
2 Weeks
LEARNING OBJECTIVES
- Understand and appropriately use statistical terms and concepts
- Design and Implement universally acceptable Surveys
- Convert data into various formats using appropriate software
- Use mobile data gathering tools such as Open Data Kit (ODK)
- Use GIS software to plot and display data on basic maps
- Qualitative data analysis using NVIVO
- Analyze t data by applying appropriate statistical techniques using R
- Interpret the statistical analysis using R
- Identify statistical techniques a best suited to data and questions
- Strong foundation in fundamental statistical concepts
- Implement different statistical analysis in R and interpret the results
- Build intuitive data visualizations
- Carry out formalized hypothesis testing
- Implement linear modelling techniques such multiple regressions and GLMs
- Implement advanced regression analysis and multivariate analysis
- Write reports from survey data
- 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
- Introduction to statistical concepts
- Descriptive Statistics
- Inferential statistics
Module 2:Research Design
- The role and purpose of research design
- Types of research designs
- The research process
- Which method to choose?
- Exercise: Identify a project of choice and developing a research design
Module 3: Survey Planning, Implementation and Completion
- Types of surveys
- The survey process
- Survey design
- Methods of survey sampling
- Determining the Sample size
- Planning a survey
- Conducting the survey
- After the survey
- Exercise: Planning for a survey based on the research design selected
Module 4:Introduction
- Introduction to Mobile Data gathering
- Benefits of Mobile Applications
- Data and types of Data
- Introduction to common mobile based data collection platforms
- Managing devices
- Challenges of Data Collection
- Data aggregation, storage and dissemination
- Types of questions
- Data types for each question
- Types of questionnaire or Form logic
- Extended data types geoid, image and multimedia
Module 5:Survey Authoring
- Design forms using a web interface using:
o ODK Build
o Koboforms
o PurcForms
- Hands-on Exercise
Module 6:Preparing the mobile phone for data collection
- Installing applications: ODK Collect
o Using Google play
o Manual install (.apk files)
- Configuring the device (Mobile Phones)
- Uploading the form into the mobile devices
- Hands-on Exercise
Module 7:Designing forms manually: Using XLS Forms
- Introduction to XLS forms syntax
- New data types
- Notes and dates
- Multiple choice Questions
- Multiple Language Support
- Hints and Metadata
- Hands-on Exercise
Module 8:Advanced survey Authoring
- Conditional Survey Branching
o Required questions
o Constraining responses
o Skip: Asking Relevant questions
o The specify other
- Grouping questions
o Skipping many questions at once (Skipping a section)
- Repeating a set of questions
- Special formatting
- Making dynamic calculations
Module 9:Hosting survey data (Online)
- ODK Aggregate
- Formhub
- ona.io
- KoboToolbox
- Uploading forms to the server
Module 10:Hosting Survey Data (Configuring a local server)
- Configuring ODK Aggregate on a local server
- Downloading data
- Manual download (ODK Briefcase)
- Using the online server interface
Module 11: GIS mapping of survey data using QGIS
- Introduction to GIS for Researchers and data scientists
- Importing survey data into a GIS
- Mapping of survey data using QGIS
- Exercise: QGIS mapping exercise.
Module 12:Understanding Qualitative Research
- Qualitative Data
- Types of Qualitative Data
- Sources of Qualitative data
- Qualitative vs Quantitative
- NVivo key terms
- The NVivo Workspace
Module 13:Preliminaries of Qualitative data Analysis
- What is qualitative data analysis
- Approaches in Qualitative data analysis; deductive and inductive approach
- Points of focus in analysis of text data
- Principles of Qualitative data analysis
- Process of Qualitative data analysis
- For any enquiry to: [email protected] or +254712260031
- Website:www.fdc-k.org
- Register online to attend- http://tinyurl.com/y54umqzw
- View Research and Data Analysis courses calendar 2019 – http://bit.ly/2rfjxn4
- View All Courses calendar 2019 - http://bit.ly/2mB2p5w