[Om] Invitation to Research Design, ODK mobile data collection, GIS mapping, and Data analysis using NVIVO and R Workshop Sep 13 2021

[FDC-K .ORG]

Title: Invitation to Research Design, ODK mobile data collection, GIS mapping, and Data analysis using NVIVO and R Workshop Sep 13 2021

Research Design, ODK mobile data collection, GIS mapping, and Data analysis using NVIVO and R Workshop from September 13 to 24 September 2021 for 10 Days Register for online attendance Workshop Register Onsite attendance workshop Register as a group workshop Download Our Calendar 2021/2022 Download & Fill Admission Form Official Email: train...@fdc-k.org Official Tel: +254 712 260 031 Visit Our Website: Foscore Development Center Onsite Centers: Hilton Hotel  and Meridian Hotel, Nairobi Kenya INTRODUCTION New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the 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. How can organizations better manage the process of converting the potential of data science to real development outcomes This ten days hands-on course is tailored to put all these important considerations into perspective. It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost effective data and reports that are useful and friendly for decision making. It will be conducted using ODK, GIS, NVIVO, and R DURATION 2 Weeks LEARNING OBJECTIVES 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 Analyze t data by applying appropriate statistical techniques using R Interpret the statistical analysis using R Identify statistical techniques best suited to data and questions Strong foundation in fundamental statistical concepts Implement different statistical analyses in R and interpret the results Build intuitive data visualizations Carry out formalized hypothesis testing Implement linear modeling techniques such as multiple regressions and GLMs Implement advanced regression analysis and multivariate analysis Write reports from survey data Put strategies to improve data demand and use in decision making WHO SHOULD ATTEND? This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling. 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 Exercise 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:Basics of Applied Statistical Modelling using R Introduction to the Instructor and Course Data & Code Used in the Course Statistics in the Real World Designing Studies & Collecting Good Quality Data Different Types of Data MODULE 27: Essentials of the R Programming The rationale for this section Introduction to the R Statistical Software & R Studio Different Data Structures in R Reading in Data from Different Sources Indexing and Subletting of Data Data Cleaning: Removing Missing Values Exploratory Data Analysis in R MODULE 28: Statistical Tools Quantitative Data Measures of Center Measures of Variation Charting & Graphing Continuous Data Charting & Graphing Discrete Data Deriving Insights from Qualitative/Nominal Data MODULE 29: Probability Distributions Data Distribution: Normal Distribution Checking For Normal Distribution Standard Normal Distribution and Z-scores Confidence Interval-Theory Confidence Interval-Computation in R MODULE 30: Statistical Inference Hypothesis Testing T-tests: Application in R Non-Parametric Alternatives to T-Tests One-way ANOVA Non-parametric version of One-way ANOVA Two-way ANOVA Power Test for Detecting Effect MODULE 31: Relationship between Two Different Quantitative Variables Explore the Relationship Between Two Quantitative Variables Correlation Linear Regression-Theory Linear Regression-Implementation in R Conditions of Linear Regression Multi-collinearity Linear Regression and ANOVA Linear Regression With Categorical Variables and Interaction Terms Analysis of Covariance (ANCOVA) Selecting the Most Suitable Regression Model Violation of Linear Regression Conditions: Transform Variables Other Regression Techniques When Conditions of OLS Are Not Met Regression: Standardized Major Axis (SMA) Regression Polynomial and Non-linear regression Linear Mixed Effect Models Generalized Regression Model (GLM) Logistic Regression in R Poisson Regression in R The goodness of fit testing MODULE 32: Multivariate Analysis Introduction Multivariate Analysis Cluster Analysis/Unsupervised Learning Principal Component Analysis (PCA) Linear Discriminant Analysis (LDA) Correspondence Analysis Similarity & Dissimilarity Across Sites Non-metric multidimensional scaling (NMDS) Multivariate Analysis of Variance (MANOVA) Module 33: 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 exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10years of experience. Upon completion of training, the participant will be issued with a Foscore development center certificate (FDC-K) Training will be done at the Foscore development center (FDC-K) center in Nairobi Kenya. We also offer more than five participants training at the requested location within Kenya, more than ten participants within east Africa, and more than twenty participants all over the world. Course duration is flexible and the contents can be modified to fit any number of days. VIEW OTHER UPCOMING SEPTEMBER 2021  WORKSHOPS (REGISTER FOR THE COURSE AS AN INDIVIDUAL OR GROUP) Procurement logistics and Supply Chain Management Workshop-Sep 06 to Sep17,2021 for 10 Days Developing organization Balanced Scorecard workshop from Sep 06, 2021 for 5 Days Executive Leadership & Management Program Workshop from Sep 06, 2021 for 5 Days Research Design, ODK mobile data collection, GIS mapping, Data analysis using NVIVO and STATA Workshop from 13 Sep 2021 for 10 Days Research Design, ODK mobile data collection, GIS mapping, and Data analysis using NVIVO and R Workshop from 13 Sep 2021 for 10 Days Advanced Excel Formulas and Functions Workshop from 13 Sep 2021 for 5 Days Public Sector Management Workshop from 13 Sep 2021 for 10 Days Electronic Document & Records Management Workshop from 13 Sep 2021 for 5 Days Project Monitoring and Evaluation with Data Management and Analysis  Workshops from Sep 20 ,2021, for 10 Days Remote Sensing and GIS for Public Health and Epidemiology Workshop from 20 Sep 2021 for 10 Days GIS for Monitoring and Evaluation Workshop from 20 Sep 2021 for 5 Days Strategic Communication Training For  Managers And Executives Program  Workshop from 20 Sep 2021 for 10 Days GIS Data Collection, Analysis, Visualization and Mapping Workshop from 20 Sep 2021 for 10 Days Monitoring and Evaluation for Governance Workshop from 27 Sep 2021 for 10 Days Office ICT Basic Skills Training  Workshop from 27 Sep 2021 for 10 Days Research Design, ODK Mobile Data Collection, GIS Mapping, Data Analysis using NVIVO and SPSS Workshop 27 Sep 2021 for 10 Days Grant management using Sun accounting system Workshop from 27 Sep 2021 for 10 Days Transformational Leadership and Governance  Workshop from 27 Sep 2021 for 10 Days Inventory Control And Warehouse Management Workshop from 27 Sep 2021 for 5 Days FDC Result Based skills Development, Regards, FDC Training Team, Get Our Calendar  If you'd like to unsubscribe and stop receiving these emails click here .

_______________________________________________
Om mailing list
Om@openmath.org
https://mailman.openmath.org/cgi-bin/mailman/listinfo/om