Introduction:

Research is a systematic process of collecting, analyzing, and interpreting information to answer specific questions or solve problems. It plays a crucial role in various fields such as social sciences, healthcare, environmental studies, and business. To conduct effective research, researchers need to employ appropriate methodologies, data collection tools, and data analysis techniques.

This course aims to provide an in-depth understanding of research design, ODK (Open Data Kit) mobile data collection, GIS (Geographic Information System) mapping, and data analysis using NVIVO and SPSS software. It will equip participants with the knowledge and skills necessary to plan, execute, and analyze research projects effectively.

The course will begin with an overview of research design, including different types of research methodologies, study designs, and sampling techniques. Participants will learn how to formulate research questions, develop hypotheses, and design studies that address their research objectives.

Next, the course will delve into ODK mobile data collection, which is a powerful tool for collecting data in the field using mobile devices such as smartphones or tablets. Participants will learn how to design data collection forms, set up data collection projects, and synchronize data between mobile devices and servers. They will also explore best practices for data quality assurance and data security.

Furthermore, participants will be introduced to GIS mapping, which involves the visualization and analysis of geospatial data. They will learn how to use GIS software to create maps, overlay different data layers, and perform spatial analysis. This knowledge will enable participants to integrate geographical information into their research projects and gain insights from spatial patterns and relationships.

The course will also cover data analysis using NVIVO and SPSS software. NVIVO is a qualitative data analysis software that facilitates the organization, coding, and analysis of textual, audio, and visual data. Participants will learn how to import data, create coding schemes, and perform thematic analysis using NVIVO. Additionally, participants will be introduced to SPSS (Statistical Package for the Social Sciences), a statistical analysis software widely used in quantitative research. They will learn how to perform descriptive and inferential statistical analyses, interpret the results, and present them effectively.

Throughout the course, participants will engage in practical exercises and case studies to apply the concepts and techniques learned. By the end of the course, participants will have a comprehensive understanding of research design, ODK mobile data collection, GIS mapping, and data analysis using NVIVO and SPSS. They will be equipped with valuable skills to conduct their own research projects, collect data using mobile devices, analyze qualitative and quantitative data, and visualize spatial information.

Course Objective:

The primary objective of this course is to enable participants to develop expertise in research design, mobile data collection, GIS mapping, and data analysis using NVIVO and SPSS. By the end of the course, participants will be able to:

1. Understand the principles and components of research design.
2. Design and implement research projects using appropriate methodologies.
3. Utilize ODK for efficient and reliable mobile data collection.
4. Analyze qualitative data using NVIVO software.
5. Analyze quantitative data using SPSS software.
6. Visualize research findings through GIS mapping techniques.

Organization Benefit:

Organizations can derive several benefits from staff members who possess strong research design, mobile data collection, GIS mapping, and data analysis skills. Some key benefits include:

1. Improved research quality and reliability: Participants will acquire the knowledge and skills to design and implement rigorous research projects, ensuring high-quality and reliable research outcomes.
2. Enhanced data collection efficiency: ODK mobile data collection enables organizations to collect data efficiently and accurately using mobile devices, reducing paperwork and manual data entry errors.
3. Advanced data analysis capabilities: Proficiency in NVIVO and SPSS allows organizations to analyze qualitative and quantitative data effectively, leading to meaningful insights and evidence-based decision-making.
4. Data-driven decision-making: By utilizing GIS mapping techniques, organizations can visualize and analyze spatial data, enabling data-driven decision-making and effective resource allocation.
5. Increased research productivity: Participants will gain practical skills in research design, data collection, and data analysis, leading to increased research productivity and the ability to conduct independent research within the organization.

Course Duration:

10 days

Target Participants:

This course is suitable for individuals involved in research, data collection, data analysis, and decision-making processes within various sectors, including:

1. Research professionals and analysts.
2. Project managers and coordinators.
3. Data managers and data analysts.
4. Monitoring and evaluation officers.
5. Academic researchers and scholars.
6. Government officials involved in policy analysis and planning.

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 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
• Exercises

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

General Notes

·         All our courses can be Tailor-made to participants' needs

·         The participant must be conversant in English

·         Presentations are well-guided, practical exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10 years of experience.

·         Upon completion of training the participant will be issued with a Foscore development center certificate (FDC-K)

·         Training will be done at the Foscore development center (FDC-K) centers. We also offer inhouse and online training on the client schedule

·         Course duration is flexible and the contents can be modified to fit any number of days.

·         The course fee for onsite training includes facilitation training materials, 2 coffee breaks, a 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.

·         Tablet and Laptops are provided to participants on request as an add-on cost to the training fee.

·         One-year free Consultation and Coaching provided after the course.

·         Register as a group of more than two and enjoy a discount of (10% to 50%)

·         Payment should be done before commence of the training or as agreed by the parties, to the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for you.

·         For any inquiries reach us at training@fdc-k.org or +254712260031

 

 

·         Website:www.fdc-k.org