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?

Objectives 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