Mobile Data Collection using SurveyCTO, GIS Mapping, Data Analysis using NVIVO and SPSS Course

Introduction

The Mobile Data Collection using SurveyCTO, GIS Mapping, and Data Analysis using NVivo and SPSS Course is a comprehensive, hands-on training program designed to equip professionals with the practical skills required to conduct modern research and field data operations using cutting-edge digital tools.

This course introduces participants to SurveyCTO, a powerful platform for mobile-based data collection, emphasizing form design, data validation, offline deployment, and real-time monitoring. Participants will learn how to collect high-quality data using Android devices and sync it securely to centralized systems. The training also covers GIS mapping techniques, enabling learners to visualize spatial data, analyze geographic patterns, and produce interactive maps for reporting and analysis.

To ensure participants can generate actionable insights from both qualitative and quantitative datasets, the course includes training in NVivo, for qualitative data coding and thematic analysis, and SPSS, for statistical analysis and hypothesis testing. By the end of the course, participants will be able to integrate mobile data collection with geospatial analysis and mixed-methods data interpretation.

Whether you are a researcher, project manager, M&E specialist, or field officer, this course provides the essential toolkit to streamline data workflows and make informed, evidence-based decisions in complex environments.

Participants will engage in interactive exercises, real-world case studies, and guided practical sessions to reinforce their learning and build confidence in using these tools. The course is designed to cater to both beginners and intermediate users, ensuring a progressive learning experience. Emphasis is placed on data quality, ethical considerations in digital data collection, and ensuring data security throughout the research lifecycle. Upon completion, participants will not only have gained technical competence but also the strategic insight necessary to design and implement efficient, technology-driven data systems in their respective fields.

Duration

10 Days

Course Objectives

By the end of this course, participants will be able to

·       Design and deploy mobile data collection tools using SurveyCTO, including creating digital forms, configuring skip logic, and validating responses for quality data.

·       Use Android devices for offline and online data collection, manage submissions, and troubleshoot field-related data collection challenges.

·       Integrate GPS and geospatial data into digital surveys and effectively map and visualize this data using GIS tools.

·       Understand the fundamentals of GIS mapping, including spatial data types, coordinate systems, and using maps to support decision-making processes.

·       Perform spatial analysis and map creation to reveal geographic patterns, trends, and distributions relevant to field data.

·       Analyze qualitative data using NVivo, including coding, theme identification, querying, and reporting from interviews, focus groups, or open-ended survey responses.

·       Apply statistical techniques using SPSS to analyze quantitative data, conduct descriptive and inferential statistics, and generate analytical reports.

·       Interpret and integrate both qualitative and quantitative data to produce mixed-methods insights that support comprehensive project evaluations.

·       Ensure ethical practices in digital data collection, including informed consent, data privacy, security protocols, and responsible data use.

·       Design end-to-end data workflows, from digital form creation and field deployment to spatial visualization and advanced data analysis for research, monitoring, and evaluation purposes.

Who Should Attend?

This course is ideal for a wide range of professionals. It is particularly suited for:

·       Monitoring and Evaluation (M&E) Officers seeking to enhance their data collection, mapping, and analysis capabilities.

·       Researchers and Data Analysts working in academic, NGO, or consultancy settings who require integrated tools for field data and analysis.

·       Project and Program Managers who oversee data-intensive projects and need practical skills in managing field data workflows.

·       GIS Specialists and Spatial Analysts interested in linking survey data with geospatial visualization and analysis.

·       Field Officers and Enumerators involved in data collection who need to adopt digital and mobile tools for improved accuracy and efficiency.

·       Development Practitioners and NGO Staff working on community-based programs and needing robust tools for participatory data collection and evaluation.

·       Public Health, Agriculture, and Education Professionals who manage programs requiring real-time data, mapping, and impact analysis.

·       Government and Policy Advisors involved in data-driven policy design and monitoring.

·       Technology and ICT for Development Specialists looking to integrate data technologies into development solutions. 

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 to SurveyCTO

•          Introduction and Key Concepts
•        Overview of ODK and Kobotolbox
•          Advantages of SurveyCTO
•          Key Features of SurveyCTO
•          Case studies on use of SurveyCTO

Module 5: SurveyCTO Server

•          Components of SurveyCTO
•          Data aggregation, storage, and dissemination
•          Setting up a SurveyCTO server
•          Managing users & user roles

Module 6: Setting Up SurveyCTO Collect App

•          Installing SurveyCTO collect from google play store
•          Configuring SurveyCTO collect app
•          SurveyCTO   Collect Application Interface

Module 7: SurveyCTO Online Form builder

•          Creating a form
•          Input types
•          Adding question to Form
•          Form logics
•          Import and export forms

Module 8: Building Forms using XLSForms

•          Introduction to XLSform designer
•          Components of XlSForm
•          Question types
•          Handling constraints and required options
•          Form skip logic
•          Form Operators and Functions
•          Grouping Questions
•          Settings Worksheet
•          Importing XLSforms to SurveyCTO server

Module 9: Using SurveyCTO Collect

•          Managing forms in SurveyCTO Collect
•          Collecting GPS data
•          Submitting data to SurveyCTO Server

Module 10: Monitoring Data with SurveyCTO Data Explorer

•         Monitoring Submission statistics
•          Monitoring Form submissions and dataset
•          Reviewing and correcting incoming data
•         Summarize data submitted for individual fields
•          Summarize the empirical relationships between field

Module 11: Data Management

•          Exporting &Exporting data from SurveyCTO as CSV via SurveyCTO Sync
•          Importing SurveyCTO – CSV file into statistical applications
•          Downloading data directly from SurveyCTO

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
• Exercises
• 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
• Histograms
• Stem-and-Leaf Plot
• Boxplots
• Bar Graphs
• Line Graphs
• Scatterplots
• Pie Charts C
• hart Templates
• Exercises

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

• Descriptive Statistics
• Frequencies
• Crosstabs
• Compare Means
• Exercise

Module 31: Correlation  

• Correlation
• Subgroup Correlations
• Scatterplots of Data by Subgroups
• Overlay Scatterplots
• Exercises

 Module 32: Regression and Multiple Regression

• Regression
• Multiple Regression
• Exercises

 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
• Exercises

 Module 35: Comparing Means Using Factorial ANOVA 

• Factorial ANOVA Using GLM Univariate
• Simple Effects
• Exercises

 Module 36: Comparing Means Using Repeated Measures ANOVA 

• Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
• Multiple Comparisons
• Exercises

 Module 37: Chi-Square 

• Goodness of Fit Chi Square All Categories Equal
• Goodness of Fit Chi Square Categories Unequal
• Chi Square for Contingency Tables
• Exercises

 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
• Exercises

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

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Payment should be done two weeks before commence of the training, to Upskill Development account, so as to enable us prepare better for you.