{"id":168542,"date":"2020-10-13T00:25:38","date_gmt":"2020-10-12T22:25:38","guid":{"rendered":"https:\/\/www.myza.co.za\/data-collection-analysis-and-visualization-using-odk-stata-and-quantum-gis-in-monitoring-and-evaluation-training-course\/"},"modified":"2020-10-13T00:25:38","modified_gmt":"2020-10-12T22:25:38","slug":"data-collection-analysis-and-visualization-using-odk-stata-and-quantum-gis-in-monitoring-and-evaluation-training-course","status":"publish","type":"post","link":"https:\/\/www.myza.co.za\/press\/data-collection-analysis-and-visualization-using-odk-stata-and-quantum-gis-in-monitoring-and-evaluation-training-course\/","title":{"rendered":"Data collection, Analysis and Visualization Using ODK, Stata and Quantum GIS in Monitoring and Evaluation Training Course"},"content":{"rendered":"

Data collection, Analysis and Visualization Using ODK, Stata and Quantum GIS in Monitoring and Evaluation Training Course<\/a><\/strong><\/p>\n

A Kenya Event on 2020-10-19 08:30:00<\/i><\/p>\n

FineResults Research Services invites you to training on:<\/p>\n

Topics: Data collection, Analysis and Visualization Using ODK, Stata and Quantum GIS in Monitoring and Evaluation<\/p>\n

Date: 19th to 30th October 2020<\/p>\n

Cost: USD 1600 or Ksh 120,000<\/p>\n

Contacts: +254 759 285 295, training@fineresultsresearch.org<\/p>\n

Venue : FineResults Research, Nairobi, Kenya Training Centre.<\/p>\n

INTRODUCTION
\nA logical framework is an important part of monitoring and evaluating the progress and success of the project. The Logical framework provides various components of a project such as goal, objectives, activities, results and indicators. Indicators are linked to data anticipated to be collected during monitoring and evaluation of projects. Indicators provide a standard against which to measure impact brought about by project activities. Open Data Kit (ODK) helps to collect accurate and timely data for decision making. Whereas, Stata support data analysis, Quantum GIS helps in visualization of spatial data collected using ODK.<\/p>\n

DURATION
\n10 days<\/p>\n

COURSE OBJECTIVES
\n\u2022 Learn how to develop a logical framework
\n\u2022 Understand and appropriately use statistical terms and concepts
\n\u2022 Use mobile data gathering tools such as Open Data Kit (ODK)
\n\u2022 Learn how to conduct data analysis using stata
\n\u2022 Use GIS software to visualize data on maps
\n\u2022 Write reports from survey data<\/p>\n

WHO SHOULD ATTEND?
\n\u2022 Government representatives working in Monitoring and evaluation
\n\u2022 project teams, NGOs staffs,
\n\u2022 Consultants
\n\u2022 project managers
\n\u2022 M&E specialists
\n\u2022 Researchers.<\/p>\n

COURSE CONTENT
\nModule 1
\n\u2022 Data types- Qualitative and quantitative data
\n\u2022 Research designs in qualitative data and quantitative data collection and analysis
\n\u2022 Developing a logical framework
\n\u2022 Components of a logical framework
\n\u2022 Mobile data collection in Monitoring and Evaluation
\n\u2022 Introduction to common mobile based data collection platforms
\n\u2022 Data aggregation, storage, and dissemination<\/p>\n

Module 2
\nSurvey Planning, Implementation and Completion
\n\u2022 Types of surveys
\n\u2022 The survey process
\n\u2022 Survey design
\n\u2022 Methods of survey sampling
\n\u2022 Determining the Sample size
\n\u2022 Planning a survey
\n\u2022 Conducting the survey
\n\u2022 After the survey
\nSoftware for Data Processing, management and GIS mapping
\n\u2022 Data collections methods (Web, SMS, Mobile, Email, Social Media)
\n\u2022 Use of ODK 2 for Mobile Data Collection
\n\u2022 Importing ODK data into SPSS and Excel
\n\u2022 Exercise: ODK exercise.<\/p>\n

Module 3
\n\u2022 Overview of available mobile phone based data collection platforms.
\n\u2022 Types of questions and their data types.
\n\u2022 Questionnaire\/Form logic
\n\u2022 Extended data types geoid, image, and multimedia
\n\u2022 Survey Authoring
\n\u2022 Design forms using a web interfaces using:
\n\u2022 Hands-on Exercise
\n\u2022 ODK Build
\n\u2022 KoboToolBox
\n\u2022 Preparing mobile devices for data collection
\n\u2022 Installing application: ODK Collect
\n\u2022 Configuring the device (Mobile Phones)
\n\u2022 Uploading the form into the mobile devices<\/p>\n

Module 4
\n\u2022 Advanced survey Authoring: XLSForms
\n\u2022 Introduction to XLSforms syntax
\n\u2022 New data types
\n\u2022 Notes and dates
\n\u2022 Multiple choice Questions
\n\u2022 Multiple Language Support
\n\u2022 Hints and Metadata
\n\u2022 Conditional Survey Branching
\n\u2022 Required questions
\n\u2022 Constraining responses
\n\u2022 Skip: Asking Relevant Questions
\n\u2022 The specify other
\n\u2022 Grouping questions
\n\u2022 Skipping many questions at once (Skipping a section)
\n\u2022 Repeating a set of questions
\n\u2022 Special formatting
\n\u2022 Making dynamic calculations<\/p>\n

Module 5
\n\u2022 Hosting survey data: Cloud Hosting
\n\u2022 Google Apps Engine
\n\u2022 ODK Aggregate
\n\u2022 KoboToolbox
\n\u2022 Formhub
\n\u2022 Hosting Survey Data: Local Server Hosting
\n\u2022 Configuring ODK Aggregate on a local server
\n\u2022 Downloading data
\n\u2022 Manual download (ODK Briefcase)
\n\u2022 Using the online server interface<\/p>\n

Module 6
\n\u2022 Downloading data from server and exporting to Stata
\n\u2022 Introduction to statistical concepts
\n\u2022 Descriptive Statistics
\n\u2022 Inferential statistics
\n\u2022 Types of research designs
\n\u2022 The research process<\/p>\n

Module 7
\nIntroduction to Data management and analysis using Stata
\n\u2022 Overview of Stata Software
\n\u2022 Import, Export, load and save datasets
\n\u2022 Sorting and ordering
\n\u2022 Appending, merging and reorganizing datasets
\n\u2022 Identify duplicate observations
\n\u2022 Statistical Inference
\n\u2022 Correlation
\n\u2022 Simple linear Regression and Multiple linear Regression
\n\u2022 Comparing Means Using t-tests
\n\u00fc One Sample t-tests
\n\u00fc Paired Sample t-tests
\n\u00fc Independent Samples t-tests
\nComparing Means Using One-Way ANOVA
\n\u2022 One-Way Anova
\n\u2022 General Linear Model to Calculate One-Way ANOVAs
\n\u2022 Exercises
\nChi-Square
\n\u2022 Goodness of Fit Chi Square All Categories Equal
\n\u2022 Goodness of Fit Chi Square Categories Unequal
\n\u2022 Chi-Square for Contingency Tables
\n\u2022 Exercises
\nNonparametric Statistics
\n\u2022 Mann-Whitney Test
\n\u2022 Wilcoxon\u2019s Matched Pairs Signed-Ranks Test
\n\u2022 Kruskal-Wallis One-Way ANOVA
\n\u2022 Friedman\u2019s Rank Test for k Related Samples
\n\u2022 Exercises<\/p>\n

Module 8
\n\u2022 Introduction to GIS
\n\u2022 Working with Spatial data (GPS Coordinates)
\n\u2022 Spatial Mapping
\n\u2022 Introduction to Fusion Table
\n\u2022 Exporting GPS Coordinates (Google maps) to Fusion tables
\n\u2022 Exporting data to Fusion tables using QGIS
\n\u2022 Converting data to shape files
\n\u2022 Integrating Mobile Data Collection tools into projects<\/p>\n

Module 9
\nGIS mapping of survey data using QGIS
\n\u2022 Introduction to GIS for Researchers and data scientists
\n\u2022 Importing survey data into a GIS
\n\u2022 Mapping of survey data using QGIS
\n\u2022 Exercise: QGIS mapping exercise.<\/p>\n

Module 10
\n Report writing for surveys, data dissemination, demand and use
\n\u2022 Writing a report from survey data
\n\u2022 Communication and dissemination strategy
\n\u2022 Context of Decision Making
\n\u2022 Improving data use in decision making
\n\u2022 Culture Change and Change Management<\/p>\n

NB: We are offering you a half day, fun and interactive team building event!<\/p>\n

Be part of the Training
\n\u2022\tClick HERE for the individual registration. <\/p>\n

Engage with us on <\/p>\n

Visit our face book page <\/p>\n

Visit our linkedin page <\/p>\n

Visit our twitter account<\/p>\n

at Fahari Palace Apartment Nairobi kenya<\/a><\/p>\n

Nairobi, Kenya<\/p>\n

Add your Kenya<\/em> event for free here<\/a> on MyZA.<\/p>\n","protected":false},"excerpt":{"rendered":"

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