[New-York-News] Research Design, ODK Mobile Data Collection, GIS Mapping, Data Analysis using NVIVO and SPSS Workshop August 2022
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Research
Design, ODK Mobile Data Collection, GIS Mapping, Data Analysis using NVIVO and
SPSS Workshop August 2022
22/08/2022 To 02/09/202210
DaysMombasa,
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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? How can organizations go beyond
merely generating new insights to changing behaviors — not only of their
employees, but beneficiary and communities too?
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 SPSS
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
· Perform basic
data analysis tasks with SPSS
· Perform simple to
complex data management tasks using SPSS
· Correctly
identify appropriate statistical test for basic analysis s and perform
them using SPSS
· 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 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.
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Indicative
Budget
The
registration cost is indicated in every course for online and onsite trainings
find the group rate discount below:
Group
Size
Discount
Rate for Group
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20%
8-21
25%
22-31
30%
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35%
42-51
40%
52>
Above
50%
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