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

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Organizer: Foscore Development Center


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? How can organizations go beyond merely generating new insights to changing behaviors — not only of their employees, but beneficiary and communities too?

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 SPSS


2 Weeks


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

Perform basic data analysis tasks with SPSS

Perform simple to complex data management tasks using SPSS

Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS

Write reports from survey data

Put strategies to improve data demand and use in decision making


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.


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



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



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 SPSS

What is SPSS?

Opening SPSS

Layout of SPSS

Exiting SPSS


Brief description and history of SPSS

Module 27: Overview of SPSS

The Title Bar

The Menu Bar

The (Power) Tool Bar

The Data Editor (Data View and Variable view)

The Status Bar

Module 28: Entering Data

The Logic of Data Files

Entering Data

Inserting a Variable

Inserting a Case

Merging Files

Reading Data From Other Sources

Module 29: Graphing Data

Frequency Distributions


Stem-and-Leaf Plot


Bar Graphs

Line Graphs


Pie Charts C

hart Templates


Module 30: Descriptive Statistics: Measures of Variability and Central Tendency

Descriptive Statistics



Compare Means


Module 31: Correlation


Subgroup Correlations

Scatterplots of Data by Subgroups

Overlay Scatterplots


Module 32: Regression and Multiple Regression


Multiple Regression


Module 33: Comparing Means Using t-tests

One Sample t-tests

Paired Sample t-tests

Independent Samples t-tests


Module 34: Comparing Means Using One-Way ANOVA

One-Way Anova

General Linear Model to Calculate One-Way ANOVAs


Module 35: Comparing Means Using Factorial ANOVA

Factorial ANOVA Using GLM Univariate

Simple Effects


Module 36: Comparing Means Using Repeated Measures ANOVA

Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs

Multiple Comparisons


Module 37:Chi-Square

Goodness of Fit Chi Square All Categories Equal

Goodness of Fit Chi Square Categories Unequal

Chi Square for Contingency Tables


Module 38: Nonparametric Statistics

Mann-Whitney Test

Wilcoxon’s Matched Pairs Signed-Ranks Test

Kruskal-Wallis One-Way ANOVA

Friedman’s Rank Test for k Related Samples


Module 39: 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
  • Exercise: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 10years 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) center 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.

  • 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 to: [email protected] or +254712260031

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