Research Design, Mobile Data Collection & Mapping, Data Analysis Using NVIVO & STATA

​Date

​Venue

​Fees

​Registrations

​13th- 24th Jan 2020​

​Nairobi

​$1800

​17th-28th Feb 2020​

​​Nairobi

​​$1800

​​16th-27th Mar 2020

​​Nairobi

​​$1800

​​20th-1st May 2020

​​Nairobi

​​$1800

​25th-5th June 2020

​​​Nairobi

​​$1800

​29th-10th July 2020

​​​Nairobi

​​$1800

​3rd-14th Aug 2020

​​​Nairobi

​​$1800

​14th-25th Sept 2020

​​​​Nairobi

​​​$1800

​26th-6th Nov 2020

​​​​Nairobi

​​​$1800

​7th-18th Dec 2020

​​​​Nairobi

​​​$1800

Developments in data science provide a tremendous opportunity to enhance decision-making.

It's crucial that these initiatives go beyond just producing brand new insights from information but additionally to systematically improve individual human judgment in actual development contexts.

How can businesses better handle the method of transforming the possibility of information science to genuine development outcomes? Just how can organizations go beyond just generating brand new insights to changing actions - not only of their employees but communities and beneficiary as well?

DURATION

10 days

O​bjectives of Training on Data Analysis and Research Design Using NVIVO and STATA

· Understand as well as appropriate use of statistical concepts and terms

• Design and also Implement universally appropriate Surveys

• Convert information into different formats using appropriate software

• Perform easy to complex data management tasks with SPSS

• Correctly identify a right statistical test for fundamental analysis s and do them with SPSS

• Write stories from survey data

• Put techniques to enhance data need and also use in decision making

WHO SHOULD ATTEND?

This's a basic program targeting participants with an elementary understanding of Statistics coming from Agriculture, Economics, Livelihoods, and Food Security, Nutrition, Education, Public or medical health experts among individuals that currently have a little statistical knowledge, but want to be conversant with the principles and uses of statistical modeling.

TOPICS TO BE COVERED

​1: Basic statistical terms and concepts

·         Introduction to statistical concepts

·         Descriptive Statistics

·         Inferential statistics

​ 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

​ 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

​ 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

​ 5:Survey Authoring

·         Design forms using a web interface using:

o    ODK Build

o    Koboforms

o    PurcForms

·         Hands-on Exercise

​ 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

​ 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

​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

​9:Hosting survey data (Online)

·         ODK Aggregate

·         Formhub

·         ona.io

·         KoboToolbox

·         Uploading forms to the server

​ 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

​ 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.

​ 12:Understanding Qualitative Research

·         Qualitative Data

·         Types of Qualitative Data

·         Sources of Qualitative data

·         Qualitative vs Quantitative

·         NVivo key terms

·         The NVivo Workspace

​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

​14:Introduction to NVIVO

·         NVIVO Key terms

·         NVIVO interface

·         NVIVO workspace

·         Use of NVIVO ribbons

​ 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

​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

​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

​18: Coding

·         Data-driven vs theory-driven coding

·         Analytic coding

·         Descriptive coding

·         Thematic coding

·         Tree coding

​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

​ 20:Queries using NVIVO

·         Queries for textual analysis

·         Queries for exploring coding

​21: Building on the Analysis

·         Content Analysis; Descriptive, interpretative

·         Narrative Analysis

·         Discourse Analysis

·         Grounded Theory

​ 22: Qualitative Analysis Results Interpretation

·         Comparing analysis results with research questions

·         Summarizing finding under major categories

·         Drawing conclusions and lessons learned

​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

​ 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

​ 25: Report Writing

·         Qualitative report format

·         Reporting qualitative research

·         Reporting content

·         Interpretation

​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

​27: Familiarizing with the application

·         Datasets

·         Commands

·         Working with variables in Stata

·         Basic analysis using Stata

​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

​ 29: Statistical Tests using Stata

·         One Sample T Test

·         Independent Samples T Test

·         Paired Samples T Test

·         One-Way ANOVA

​30: Measures of Associations in Stata

·         Chi-Square test

·         Pearson's Correlation

·         Spearman's Rank-Order Correlation

​31: Predictive Models using Stata

·         Linear Regression

·         Multiple Regression

·         Logistic Regression

·         Ordinal Regression

​33: Panel Data Analysis using Stata

·         Exploration of panel data

·         Fixed effects model/LSDV

·         Random effects model

·         Choosing the appropriate model

​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

​35: Econometric Analysis

·         Econometric Analysis of cross-sectional data

·         Econometric Analysis of panel data

·         Econometric Analysis of time-series data

​ 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

PLEASE NOTE​

  • All the participants should be conversant with the English language.
  • All our courses involve a mix of one on one presentations, web based tutorials, group discussions, and practical exercises.
  • All courses can be tailor made and adjusted to meet the client’s needs.
  • We have a team of professional experts who work as professionals and trainers in their respective fields.
  • Each participant will get an Uphilos Consultancy certificate, upon completion of each course.
  • All our training sessions are held at Uphilos ​Center. For groups above five people we can train at any location in Kenya, above ten people any location within East Africa, and above twenty people at any location as per the client’s specifications.
  • Participants will be responsible for their travel, dinner, airport transfers, and other personal expenses.
  • Accommodation will be arranged upon request at a discounted price.
  • All payments should be made two weeks prior to the training for better logistics. Proof of payment should be sent to [email protected]
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