[CODATA-international] Research Design, ODK Mobile Data Collection, GIS Mapping, Data Analysis using NVIVO and STATA Workshop 14th to 25th , 2022

Foscore Development Center workshops at fdc-k.or.ke
Sat Jan 15 03:00:20 EST 2022



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Research Design,ODK Mobile Data Collection,GIS Mapping, Data 
Analysis using NVIVO and STATA Workshop 14th to 25th 
,2022
 
Venue: 

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Foscore Development center 
Nairobi Kenya
 

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Research Courses
 

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2022
 

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Onsite Courses 
2022
 
 
 
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 ODK, GIS, NVIVO and STATA
 
DURATION
 
2 
Weeks
 
LEARNING 
OBJECTIVES
 
·         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 Open Data Kit (ODK)
 
·         Use 
GIS software to plot and display data on basic maps
 
·         Qualitative 
data analysis using NVIVO
 
·         Workflow 
use commands in STATA
 
·         Manage, 
edit and structure large databases in STATA
 
·         Generating 
descriptive statistics in STATA
 
·         Creating 
powerful publication-quality graphs in STATA
 
·         Data 
Analysis/Estimations in STATA 
 
·         Write 
reports from survey data
 
·         Put 
strategies to improve data demand and use in decision making
 
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.
 
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:
 
o    ODK 
Build
 
o    Koboforms
 
o    PurcForms
 
·         Hands-on 
Exercise
 
Module 
6:Preparing the mobile phone for data collection
 
·         Installing 
applications: ODK Collect
 
o    Using 
Google play
 
o    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
 
o    Required 
questions
 
o    Constraining 
responses
 
o    Skip: 
Asking Relevant questions
 
o    The 
specify other
 
·         Grouping 
questions
 
o    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 Statistical concepts and general analytics IN 
STATA
 
·         Research 
design
 
·         Samples 
and populations
 
·         Comparison 
of experimental and non-experimental designs
 
·         Exploring 
variable types
 
Module 
27: Familiarizing with the application
 
·         Datasets
 
·         Commands
 
·         Working 
with variables in Stata
 
·         Basic 
analysis using Stata
 
Module 
28: 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 
29: Statistical Tests using Stata
 
·         One 
Sample T Test
 
·         Independent 
Samples T Test
 
·         Paired 
Samples T Test
 
·         One-Way 
ANOVA
 
Module 
30: Measures of Associations in Stata
 
·         Chi-Square 
test
 
·         Pearson's 
Correlation
 
·         Spearman's 
Rank-Order Correlation
 
Module 
31: Predictive Models using Stata
 
·         Linear 
Regression
 
·         Multiple 
Regression
 
·         Logistic 
Regression
 
·         Ordinal 
Regression
 
Module 
33: Panel Data Analysis using Stata
 
·         Exploration 
of panel data
 
·         Fixed 
effects model/LSDV
 
·         Random 
effects model
 
·         Choosing 
the appropriate model
 
Module 
34: 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 
35: Econometric Analysis
 
·         Econometric 
Analysis of cross-sectional data
 
·         Econometric 
Analysis of panel data
 
·         Econometric 
Analysis of time-series data
 
Module 
36: 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
 
 
 
General 
Notes
 
·         All 
our courses can be Tailor-made to participants needs
 
·         The 
participant must be conversant with English
 
·         Presentations 
are well guided, practical exercise, web based tutorials and group work. Our 
facilitators are expert with more than 10years of experience.
 
·         Upon 
completion of training the participant will be issued with Foscore development 
center certificate (FDC-K)
 
·         Training 
will be done at Foscore development center (FDC-K) center in Nairobi Kenya. We 
also offer more than five participants training at requested location within 
Kenya, more than ten participant within east Africa and more than twenty 
participant all over the world.
 
·         Course 
duration is flexible and the contents can be modified to fit any number of 
days.
 
·         The 
course fee includes facilitation training materials, 2 coffee breaks, 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.
 
·         One 
year free Consultation and Coaching provided after the course.
 
·         Register 
as a group of more than two and enjoy discount of (10% to 50%) plus free five 
hour adventure drive to the National game park.
 
·         Payment 
should be done two week before commence of the training, to FOSCORE DEVELOPMENT 
CENTER account, so as to enable us prepare better for you.
 
·         For 
any enquiry to: training at fdc-k.org or +254712260031
 
·         Website:www.fdc-k.org
 
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