Subject: Invitation to Research Design,ODK Mobile Data Collection,GIS Mapping,Data analysis using NVIVO and R Workshop

From: "FDC-K .ORG" <[email-masked]>
Date: Sat, 10 Jul 2021 07:31:00 +0000 (UTC)

FOSCORE DEVELOPMENT CENTER

Research Design,ODK mobile data collection,GIS data mapping,Data analysis using NVIVO and R Workshops-July 26 to August 06,2021 for 10 Days

Register for online attendance Workshop

Register Onsite attendance workshop

Register as a group workshop

Download PDF Calendar for 2021 Workshops

Onsite Centers: Hilton Hotel, PrideInn Hotel and Best Western Plus - Meridian Hotel, Kenya

ORGANISATION: FOSCORE DEVELOPMENT CENTER

OFFICIAL EMAIL ADDRESS: [email-masked] OR [email-masked]

Office Telephone: +254 712 260 031

Visit our website: https://fdc-k.org

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 R.

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

Analyze t data by applying appropriate statistical techniques using R

Interpret the statistical analysis using R

Identify statistical techniques a best suited to data and questions

Strong foundation in fundamental statistical concepts

Implement different statistical analysis in R and interpret the results

Build intuitive data visualizations

Carry out formalized hypothesis testing

Implement linear modelling techniques such multiple regressions and GLMs

Implement advanced regression analysis and multivariate analysis

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:Basics of Applied Statistical Modelling using R

Introduction to the Instructor and Course

Data & Code Used in the Course

Statistics in the Real World

Designing Studies & Collecting Good Quality Data

Different Types of Data

MODULE 27: Essentials of the R Programming

Rationale for this section

Introduction to the R Statistical Software & R Studio

Different Data Structures in R

Reading in Data from Different Sources

Indexing and Subletting of Data

Data Cleaning: Removing Missing Values

Exploratory Data Analysis in R

MODULE 28: Statistical Tools

Quantitative Data

Measures of Center

Measures of Variation

Charting & Graphing Continuous Data

Charting & Graphing Discrete Data

Deriving Insights from Qualitative/Nominal Data

MODULE 29: Probability Distributions

Data Distribution: Normal Distribution

Checking For Normal Distribution

Standard Normal Distribution and Z-scores

Confidence Interval-Theory

Confidence Interval-Computation in R

MODULE 30: Statistical Inference

Hypothesis Testing

T-tests: Application in R

Non-Parametric Alternatives to T-Tests

One-way ANOVA

Non-parametric version of One-way ANOVA

Two-way ANOVA

Power Test for Detecting Effect

MODULE 31: Relationship between Two Different Quantitative Variables

Explore the Relationship Between Two Quantitative Variables

Correlation

Linear Regression-Theory

Linear Regression-Implementation in R

Conditions of Linear Regression

Multi-collinearity

Linear Regression and ANOVA

Linear Regression With Categorical Variables and Interaction Terms

Analysis of Covariance (ANCOVA)

Selecting the Most Suitable Regression Model

Violation of Linear Regression Conditions: Transform Variables

Other Regression Techniques When Conditions of OLS Are Not Met

Regression: Standardized Major Axis (SMA) Regression

Polynomial and Non-linear regression

Linear Mixed Effect Models

Generalized Regression Model (GLM)

Logistic Regression in R

Poisson Regression in R

Goodness of fit testing

MODULE 32: Multivariate Analysis

Introduction Multivariate Analysis

Cluster Analysis/Unsupervised Learning

Principal Component Analysis (PCA)

Linear Discriminant Analysis (LDA)

Correspondence Analysis

Similarity & Dissimilarity Across Sites

Non-metric multi-dimensional scaling (NMDS)

Multivariate Analysis of Variance (MANOVA)

Module 33: 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.

OTHER UPCOMING WORKSHOPS (REGISTER FOR THE COURSE AS INDIVIDUAL OR GROUP)

Research Design,ODK mobile data collection,GIS data mapping,Data analysis using NVIVO and R Workshops-July 26 to August 06,2021 for 10 Days

Project Monitoring and Evaluation with Data Management and Analysis Workshop from July 26,2021

GIS Data Collection, Analysis, Visualization and Mapping Workshop from 02 August,2021 for 10 Days

Strategic Communication Training For  Managers And Executives Program Workshop from 02 August,2021 for 5 Days

Monitoring and Evaluation for Governance Workshop from 09 August,2021 for 5 Days

Training Course on Microsoft Access Workshop from 09 August,2021 for 5 Days

Grant management using Sun accounting system Workshop from 09 August,2021 for 10 Days

Financial Management, ERP systems, Accounting, Capital budgeting, Presentation design, Management, and Negotiation Workshop from 23 August,2021 for 5 Days

Mobile Data Collection using ODK & KoboToolBox for Monitoring and Evaluation Workshop from 23 August,2021 for 5 Days

Leadership and Diplomacy Training Workshop from 23 August,2021 for 5 Days

Financial Management, Budgeting and Auditing of Donor Funded Projects Workshop from 23 August,2021 for 10 Days

Monitoring and Evaluation for Food Security and Nutrition Workshop from 30 August,2021 for 10 Days

GIS and Data Analysis for WASH (Water Sanitation and Hygiene) Programmes Workshop from 30 August,2021 for 10 Days

Advanced Management Program Workshop from 30 August,2021 for 5 Days

Looking forward to your  participation,

Regards,

FDC Training Team,
EMAIL: [email-masked]

Office Telephone: +254 712 260 031

Visit our website: https://fdc-k.org

Foscore Development Center : Result Based skills Development.

Foscore Development Center

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