[Geo4All] Invitation to Research Design, ODK Mobile Data Collection, GIS Mapping, Data Analysis using NVIVO and SPSS Workshop Nov 15 September to Nov 26 2021 for 10 Days

Foscore Development Center workshops at fdc-k.or.ke
Wed Oct 27 02:50:59 PDT 2021



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Research Design, 
ODK Mobile Data Collection, GIS Mapping, Data Analysis using NVIVO and 
SPSS
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 Workshop 
Nov 15 September to Nov 26 2021 for 10 Days

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VENUE: 
HILTON HOTEL, NAIROBI KENYA
 
OFFICIAL 
EMAIL ADDRESS: 
<mailto:training at fdc-k.org>
training at fdc-k.org
Office 
Telephone: +254712260031

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Our 2021 - 2022 Professional Short Training 
Courses
Register 
as a group of 5 or more participants and get 20% discount on course fee. Send us 
email to training at fdc-k.org or call +254712260031
 
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 beneficiaries 
and communities too?
This ten days 
hands-on course is tailored to put all these important considerations 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:
ODK 
  Build
Koboforms
PurcForms
Hands-on 
  Exercise
Module 
6:Preparing the mobile phone for data collection
Installing 
  applications: ODK Collect
Using 
  Google play
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
Required 
  questions
Constraining 
  responses
Skip: 
  Asking Relevant questions
The 
  specify other
Grouping 
  questions
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 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
OTHER 
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