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Workshop On Research
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NVIVO And STATA On 6th To 17th March 2023,Nairobi,
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Venue:
Royal Tulip Canaan Nairobi, Kenya
Course
Fee: 2,700usd
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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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