[PyFeyn] Training Workshop On Research Design, SurveyCTO, Mobile Data Collection, GIS Mapping, Data Analysis Using NVIVO And STATA On 6th To 17th March 2023, Nairobi, Kenya

[Skills for Africa Training Institute]

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Workshop On Research 
Design, SurveyCTO, Mobile Data Collection, GIS Mapping, Data Analysis Using 
NVIVO And STATA On 6th To 17th March 2023,Nairobi, 
Kenya

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Calendar for 2023 
Workshops
 

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Whatapp
 
Venue: 
Royal Tulip Canaan Nairobi, Kenya
Course 
Fee: 2,700usd
Office 
Telephone: +254-702-249-449
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training at skillsforafrica.org or call +254-702-249-449
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 SurveyCTO, GIS, NVIVO and STATA
COURSE 
OBJECTIVES
·       At the end of 
course participants should be able to:
·       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 SurveyCTO
·       Use GIS software 
to plot and display data on basic maps
·       Qualitative data 
analysis using NVIVO
o   Workflow use 
commands in STATA
o   Manage, edit and 
structure large databases in STATA
o   Generating 
descriptive statistics in STATA
o   Creating 
powerful publication-quality graphs in STATA
o   Data 
Analysis/Estimations in STATA
·       Write reports 
from survey data
·       Put strategies 
to improve data demand and use in decision making
DURATION
10 
Days
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.
COURSE 
CONTENT
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 12: 
Visualizing Geographic Data
·       Exporting GPS 
Coordinates to Google maps and Google Earth
·       Exporting GPS 
data for Mapping/Visualizing
Module 13: 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 14: 
Understanding Qualitative Research
·       Qualitative 
Data
·       Types of 
Qualitative Data
·       Sources of 
Qualitative data
·       Qualitative vs 
Quantitative
·       NVivo key 
terms
·       The NVivo 
Workspace
Module 15: 
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 16: 
Introduction to NVIVO
·       NVIVO Key 
terms
·       NVIVO 
interface
·       NVIVO 
workspace
·       Use of NVIVO 
ribbons
Module 17: 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 18: 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 19: 
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 20: 
Coding
·       Data-driven vs 
theory-driven coding
·       Analytic 
coding
·       Descriptive 
coding
·       Thematic 
coding
·       Tree 
coding
Module 21: 
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 22: 
Queries using NVIVO
·       Queries for 
textual analysis
·       Queries for 
exploring coding
Module 23: 
Building on the Analysis
·       Content 
Analysis; Descriptive, interpretative
·       Narrative 
Analysis
·       Discourse 
Analysis
·       Grounded 
Theory
Module 24: 
Qualitative Analysis Results Interpretation
·       Comparing 
analysis results with research questions
·       Summarizing 
finding under major categories
·       Drawing 
conclusions and lessons learned
Module 25: 
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 26: 
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 27: 
Report Writing
·       Qualitative 
report format
·       Reporting 
qualitative research
·       Reporting 
content
·       Interpretation
Module 28: 
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 29: 
Familiarizing with the application
·       Datasets
·       Commands
·       Working with 
variables in Stata
·       Basic analysis 
using Stata
Module 30: 
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 31: 
Statistical Tests using Stata
·       One Sample T 
Test
·       Independent 
Samples T Test
·       Paired Samples T 
Test
·       One-Way 
ANOVA
Module 32: 
Measures of Associations in Stata
·       Chi-Square 
test
·       Pearson’s 
Correlation
·       Spearman’s 
Rank-Order Correlation
Module 33: 
Predictive Models using Stata
·       Linear 
Regression
·       Multiple 
Regression
·       Logistic 
Regression
·       Ordinal 
Regression
Module 34: Panel 
Data Analysis using Stata
·       Exploration of 
panel data
·       Fixed effects 
model/LSDV
·       Random effects 
model
·       Choosing the 
appropriate model
Module 35: 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 36: 
Econometric Analysis
·       Econometric 
Analysis of cross-sectional data
·       Econometric 
Analysis of panel data
·       Econometric 
Analysis of time-series data
Module 37: 
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
 
 
THE 
END
 
 
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