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

(Foscore Development Center) #1

Course Date: 13th – 14th, May 2019

Click to view course content and register as individual or group

Organizer: Foscore Development Center

Course fee : $ 2000

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

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

  • Workflow use commands in STATA
  • Manage, edit and structure large databases in STATA
  • Generating descriptive statistics in STATA
  • Creating powerful publication-quality graphs in STATA
  • Data Analysis/Estimations in STATA

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:

ODK Build

Koboforms

PurcForms

Hands-on Exercise

Module 6:Preparing the mobile phone for data collection

Installing applications: ODK Collect

Using Google play

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

Required questions

Constraining responses

Skip: Asking Relevant questions

The specify other

Grouping questions

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

Module 14:Introduction to NVIVO

  • NVIVO Key terms
  • NVIVO interface
  • NVIVO workspace
  • Use of NVIVO ribbons

Module 15:NVIVO Projects

  • Creating new projects
  • Creating a new project
  • Opening and Saving project
  • Working with Qualitative data files
  • Importing Documents
  • Merging and exporting projects
  • Managing projects
  • Working with different data sources

Module 16:Nodes in NVIVO

  • Theme codes
  • Case nodes
  • Relationships nodes
  • Node matrices
  • Type of Nodes,
  • Creating nodes
  • Browsing Nodes
  • Creating Memos
  • Memos, annotations and links
  • Creating a linked memo

Module 17:Classes and summaries

  • Source classifications
  • Case classifications
  • Node classifications
  • Creating Attributes within NVivo
  • Importing Attributes from a Spreadsheet
  • Getting Results; Coding Query and Matrix Query

Module 18: Coding

  • Data-driven vs theory-driven coding
  • Analytic coding
  • Descriptive coding
  • Thematic coding
  • Tree coding

Module 19:Thematic Analytics in NVIVO

  • Organize, store and retrieve data
  • Cluster sources based on the words they contain
  • Text searches and word counts through word frequency queries.
  • Examine themes and structure in your content

Module 20:Queries using NVIVO

  • Queries for textual analysis
  • Queries for exploring coding

Module 21: Building on the Analysis

  • Content Analysis; Descriptive, interpretative
  • Narrative Analysis
  • Discourse Analysis
  • Grounded Theory

Module 22: Qualitative Analysis Results Interpretation

  • Comparing analysis results with research questions
  • Summarizing finding under major categories
  • Drawing conclusions and lessons learned

Module 23: Visualizing NVIVO project

  • Display data in charts
  • Creating models and graphs to visualize connections
  • Tree maps and cluster analysis diagrams
  • Display your data in charts
  • Create models and graphs to visualize connections
  • Create reports and extracts

Module 24: Triangulating results and Sources

  • Triangulating with quantitative data
  • Using different participatory techniques to measure the same indicator
  • Comparing analysis from different data sources
  • Checking the consistency on respondent on similar topic

Module 25: Report Writing

  • Qualitative report format
  • Reporting qualitative research
  • Reporting content
  • Interpretation

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

Research design

Samples and populations

Comparison of experimental and non-experimental designs

Exploring variable types

Module 27: Familiarizing with the application

Datasets

Commands

Working with variables in Stata

Basic analysis using Stata

Module 28: Charting and Graphical presentation using Stata

Classifying different charts and processing them using STATA

Understanding the Graph command syntax

Graphs for categorical Vs Numeric variables

Managing chart output in STATA

Multivariate charting

Module 29: Statistical Tests using Stata

One Sample T Test

Independent Samples T Test

Paired Samples T Test

One-Way ANOVA

Module 30: Measures of Associations in Stata

Chi-Square test

Pearson’s Correlation

Spearman’s Rank-Order Correlation

Module 31: Predictive Models using Stata

Linear Regression

Multiple Regression

Logistic Regression

Ordinal Regression

Module 33: Panel Data Analysis using Stata

Exploration of panel data

Fixed effects model/LSDV

Random effects model

Choosing the appropriate model

Module 34: Time Series Analysis using Stata

Introduction to time series analysis using Stata

Plotting a time series

Seasonal differences

Auto correlations

Forecast models in Stata

Module 35: Econometric Analysis

Econometric Analysis of cross-sectional data

Econometric Analysis of panel data

Econometric Analysis of time-series data

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

  • Writing a report from survey data
  • Communication and dissemination strategy
  • Context of Decision Making
  • Improving data use in decision making
  • Culture Change and Change Management
  • Preparing a report for the survey, a communication and dissemination plan and a demand and use strategy.
  • Presentations and joint action planning

General Notes

  • All our courses can be Tailor-made to participants needs
  • The participant must be conversant with English
  • Presentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10 years of experience.
  • Upon completion of training the participant will be issued with Foscore Development Center certificate (FDC-K)
  • Training will be done at Foscore Development Center (FDC-K) in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participant within east Africa and more than twenty participant all over the world.
  • Course duration is flexible and the contents can be modified to fit any number of days.
  • The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance and other personal expenses.
  • Accommodation, pickup, freight booking and Visa processing arrangement, are done on request, at discounted prices.
  • One year free Consultation and Coaching provided after the course.
  • Register as a group of more than two and enjoy discount of (10% to 50%) plus free five hour adventure drive to the National Game Park, Nairobi Kenya.
  • Payment should be done two week before commence of the training, to Foscore Development Center account, so as to enable us prepare better for you.

• For any enquiry at: [email protected] or +254712260031

• Website: www.fdc-k.org

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• Course fee: USD: 2,000 | KSH 140,000