Training Course on Research Design ODK Mobile Data Collection, GIS Mapping Data Analysis using NVIVO And SPSS

Effective decision making is made possible due to the availability of data collected from different surveys conducted in all phases of life like Socio-Economic, Demographic, Health, Nutrition, Food Security, opinion polls among others. It is necessary that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts

This training will help organizations as well as individuals manage the process of converting the potential of data science to real development outcomes better by empowering the participants 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.

Participants who successfully complete the course will receive Certificate of Participation.

OBJECTIVES

By the end of this training, the participants will be able to;

• Comprehend 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
• Conduct Qualitative data analysis using NVIVO
• Perform simple to complex data management tasks using SPSS
• Correctly identify appropriate statistical test for basic analysis and perform them using SPSS
• Write reports from survey data
• Put strategies to improve data demand and use in decision making

DURATION

10 days

WHO SHOULD ATTEND?

This course target participants with elementary knowledge of Statistics who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling.

COURSE OUTLINE

Day 1: Introduction to Research and Statistical Foundations

• Module 1: Basic Statistical Terms and Concepts
• Module 2: Research Design
• Module 3: Survey Planning, Implementation, and Completion

Day 2: Introduction to Mobile Data Collection

• Module 4: Introduction to Mobile Data Gathering
• Module 5: Designing Forms Using a Web Interface (ODK Build, KoboForms, PurcForms)
• Module 6: Preparing the Mobile Phone for Data Collection

Day 3: Advanced Form Design and Server Hosting

• Module 7: Designing Forms Manually Using XLS Forms
• Module 8: Advanced Survey Authoring
• Module 9: Hosting Survey Data Using ODK Aggregate, Formhub, KoboToolbox
• Module 10: Configuring ODK Aggregate on a Local Server

Day 4: GIS Mapping with QGIS

• Module 11: GIS Mapping of Survey Data Using QGIS

Practical session: Importing data, creating maps, spatial visualizations

Day 5: Introduction to Qualitative Research and NVivo

• Module 12: Understanding Qualitative Research
• Module 13: Preliminaries of Qualitative Data Analysis
• Module 14: Introduction to NVivo
• Module 15: Creating NVivo Projects
• Module 16: Nodes in NVivo

Day 6: Thematic and Advanced NVivo Analysis

• Module 17: Classes and Summaries
• Module 18: Analytic, Descriptive, Thematic, and Tree Coding
• Module 19: Thematic Analytics in NVivo
• Module 20: Queries for Textual Analysis and Exploring Coding

Day 7: Advanced Qualitative Analysis & Visualization

• Module 21: Content Analysis Approaches: Descriptive, Interpretative, Narrative, Discourse, Grounded Theory
• Module 22: Qualitative Analysis Results Interpretation
• Module 23: Visualizing NVivo Projects
• Module 24: Triangulating Results and Sources

Day 8: Quantitative Data Analysis Using SPSS – Part I

• Module 25: Report Writing
• Module 26: Introduction to SPSS
• Module 27: Overview of SPSS
• Module 28: Entering Data
• Module 29: Graphing Data Using Frequency Distributions, Histograms, Boxplots, etc.

Day 9: Quantitative Data Analysis Using SPSS – Part II

• Module 30: Descriptive Statistics: Measures of Central Tendency and Variability
• Module 31: Correlation
• Module 32: Regression and Multiple Regression
• Module 33: Comparing Means Using One-Way, Factorial, and Repeated Measures ANOVA

Day 10: Inferential & Non-Parametric Statistics + Reporting

• Module 34: Chi-Square
• Module 35: Nonparametric Statistics: Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman Test
• Module 39: Report Writing for Surveys, Data Dissemination, Demand and Use

Final Practical Session: Triangulation of Qualitative and Quantitative Findings

GENERAL NOTES

• The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
• The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.
• Upon successful completion of this training, participants will be issued with a certificate.
• The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.
• All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
• Accommodation and airport pickup are arranged upon request. For reservations contact the Training coordinator at Email: training@kincaiddevelopmentcenter.org or Tel: +254 724592901
• This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 724592901 or send mail to training@kincaiddevelopmentcenter.org

Payments are due upon registration. Payment should be sent to our Bank account before commencement of training and proof of payment sent to training@kincaiddevelopmentcenter.org