Invitation to Research Design, ODK mobile data collection, GIS mapping, Data analysis using NVIVO and STATA Workshop

Next Topic
 
classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|

Invitation to Research Design, ODK mobile data collection, GIS mapping, Data analysis using NVIVO and STATA Workshop

FDC Training
Invitation to Research Design,ODK mobile data collection,GIS mapping, Data analysis using NVIVO and STATA Workshop

Research Design,ODK mobile data collection,GIS mapping, Data analysis using NVIVO and STATA course April  19 to April 30,2021

 Click Here to Register  for online attendance course fee or Normal attendance as individual or group

Download PDF Calendar 2021

OFFICIAL EMAIL ADDRESS: [hidden email]

Office Telephone: +254712260031

Register as a group of   5  or more participants and get 40% discount on course fee. Send us email to [hidden email] or call +254712260031

TRAINING FOR ONLINE AND NORMAL ATTENDANCE AVAILABLE



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 Exercis
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: Introduction to Statistical concepts and general analytics IN STATA
  • Research design
  • Samples and populations
  • Comparison of experimental and non-experimental designs
  • Exploring variable types
Module 27: Familiarizing with the application
  • Datasets
  • Commands
  • Working with variables in Stata
  • Basic analysis using Stata
  • Module 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
Module 29: Statistical Tests using Stata
  • One Sample T Test
  • Independent Samples T Test
  • Paired Samples T Test
  • One-Way ANOVA
Module 30: Measures of Associations in Stata
  • Chi-Square test
  • Pearson's Correlation
  • Spearman's Rank-Order Correlation
Module 31: Predictive Models using Stata
  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • Ordinal Regression
Module 33: Panel Data Analysis using Stata
  • Exploration of panel data
  • Fixed effects model/LSDV
  • Random effects model
  • Choosing the appropriate model
Module 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
Module 35: Econometric Analysis
  • Econometric Analysis of cross-sectional data
  • Econometric Analysis of panel data
  • Econometric Analysis of time-series data
Module 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
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 TRAININGS(CLICK  ON THE COURSE TO VIEW COURSE OUTLINE AND REGISTER TO ATTEND)



Looking forward to your registration and attendance.Result Based skills Development

Regards,
FDC Training Team
Telephone office: +254712260031
Email [hidden email]

You can opt out of future communications about our services by clicking on the unsubscribe link below.Thank you
TEXT
If you'd like to unsubscribe and stop receiving these emails click here.
_______________________________________________
lk-board mailing list
[hidden email]
https://lists.osgeo.org/mailman/listinfo/lk-board