Research Design,ODK Mobile Data Collection,GIS Mapping,Data analysis using NVIVO and R course
Details
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
Outline
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.