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Research Design, Mobile Data Collection, Mapping and Analysis Training Course

Short Course by  SID INSTITUTE
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On-Site / Short Course

Details

Introduction

In the development world, there have been a large 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. To learn the better management of the process of converting the potential of data science to real development outcomes and to generate the new insights to change behaviors not only of their employees but beneficiary and communities too the training could be helpful for you.

Outline

EVENT: Research Design, Mobile Data Collection, Mapping and Analysis Training Course 

DURATION: 5 Days

VENUE: SID Institute Training Center; Nairobi, Kenya

EVENT DATE: 20-04-2020 TO 24-04-2020

FEE: Dollars $ 1,350 + 16% VAT

Introduction

In the development world, there have been a large 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. To learn the better management of the process of converting the potential of data science to real development outcomes and to generate the new insights to change behaviors not only of their employees but beneficiary and communities too the training could be helpful for you.

Who can attend?

·        Participants with an elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals.

 What will you learn?

·        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

Training Topics

·        Module 1: Basic statistical terms and concepts

·        Module 2: Research Design

·        Module 3: Survey Planning, Implementation and Completion

·        Module 4: Introduction

·        Module 5: Survey Authoring

·        Module 6: Preparing the mobile phone for data collection

·        Module 7: Designing forms manually: Using XLS Forms

·        Module 8: Advanced survey Authoring

·        Module 9: Hosting survey data (Online)

·        Module 10: Hosting Survey Data (Configuring a local server)

·        Module 11: GIS mapping of survey data using QGIS

·        Module 12: Understanding Qualitative Research

·        Module 13: Preliminaries of Qualitative Data Analysis

·        Module 14: Introduction to NVIVO

·        Module 15: NVIVO Projects

·        Module 16: Nodes in NVIVO

·        Module 17: Classes and summaries

·        Module 18: Coding

·        Module 19: Thematic Analytics in NVIVO

·        Module 20: Queries using NVIVO

·        Module 21: Building on the Analysis

·        Module 22: Qualitative Analysis Results Interpretation

·        Module 23: Visualizing NVIVO projects

·        Module 24: Triangulating results and Sources

·        Module 25: Report Writing

·        Module 26: Introduction to SPSS

·        Module 27: Overview of SPSS

·        Module 28: Entering Data

·        Module 29: Graphing Data

·        Module 30: Descriptive Statistics: Measures of Variability and Central Tendency

·        Module 31: Correlation

·        Module 32: Regression and Multiple Regression

·        Module 33: Comparing Means Using t-tests

·        Module 34: Comparing Means Using One-Way ANOVA

·        Module 35: Comparing Means Using Factorial ANOVA

·        Module 36: Comparing Means Using Repeated Measures ANOVA

·        Module 37: Chi-Square

·        Module 38: Nonparametric Statistics

·        Module 39: Report writing for surveys, data dissemination, demand, and use

For further inquiries, please contact us on 

Tel: +254 727 446 544

Mob: +254 727 446 544.

Email:[email protected]

Website: www.sidinstitute.org

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