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Research Design, Data Management And Analysis Using Stata by FINERESULTS(m): 4:03pm On Oct 05, 2019 |
EVENT: Research Design, Data Management and Analysis using Stata VENUE: FineResults Research Services, Nairobi, Kenya Date: 09th -13th December 2019 EVENT PRICE: USD 800 Contact information Email: training@fineresultsresearch.org TEL: +254 732 776 700 / +254 759 285 295 Website: fineresultsresearch.org/training/ Visit our face book page ABOUT US INTRODUCTION Stata is a complete statistical software package for data management and statistical data analysis. Results from its analysis can easily be presented in both tables and graphs. It comprises a collection of data functions that range from simple to advanced application. The software is very popular with data manipulation, cross sectional data analysis, panel data analysis, forecasting, time series analysis, survival analysis, longitudinal survey methods, structural equation modeling and simulations. The software can be used via a graphical user interface (where users interact with menus, icons and dialog boxes) or a command-line interface (using its very intuitive programming language). The software is supported by a very active user community that not only offer dedicated support but also develops new packages that continuously improves the software capabilities. This five days course is designed to enhance participants’ abilities of using the software. By the end of the training sessions, participants would become intermediate and advanced level users of the software. DURATION 5 Days LEARNING OBJECTIVES By the end of the training, you will be able to: • Understand both descriptive and inferential statistics • Understand various data collection techniques and data processing methods and use mobile phones for data collection(Open data Kit) • Use important functionalities in Stata that relate to data manipulation and management. • Create and manipulate graphs and figures in Stata • Use Stata effectively for analyzing quantitative data descriptively. • Use Stata effectively for analyzing quantitative data using inferential statistics. • Keep records of your work and create reproducible analyses. • Export the results of analyses into word processing programs such as Microsoft Word. TOPICS TO BE COVERED Module 1: Introduction Introduction to Stata • Introduction to Statistics Concepts • Concepts and Software and technologies for Data Collection and Processing • Stata Basics: Program window features, Data Structures and Types of Variables • Data Management using Stata • Output Management • Basics of stata programming 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 • Questionnaire Design Getting started in ODK • Types of questions • Data types for each question • Types of questionnaire or Form logic • Extended data types geoid, image and multimedia Survey Authoring and Preparation of mobile phone for data collection Survey Authoring o Design forms using a web interface: ODK Build, Koboforms, PurcForms Preparing the mobile phone for data collection o Installing applications: ODK Collect (using Google play) Designing forms and advanced survey authoring 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 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 Hosting survey data • Online Hosting survey data (ODK Aggregate, Formhub, ona.io and KoboToolbox Module 2: Descriptive Statistics Measures of Variability and Central Tendency • Describing quantitative data • Describing qualitative data (Tabulating data with Stata) Stata Graphics • Graphing quantitative data • Graphing qualitative data Module 3: Correlation, Chi-square and mean comparison analysis Correlation • Correlation • Subgroup Correlations • Scatterplots of Data by Subgroups • Overlay Scatterplots Chi-Square • Goodness of Fit Chi Square All Categories Equal • Goodness of Fit Chi Square Categories Unequal • Chi Square for Contingency Tables Comparing Means • One Sample t-tests • Paired Sample t-tests • Independent Samples t-tests • Comparing Means Using One-Way ANOVA Comparing Means Using Factorial ANOVA • Factorial ANOVA Using GLM Univariate • Simple Effects Module 4: Regression Analysis and Nonparametric Statistics Regression Analysis • Assumptions of selected types of regression • Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression Nonparametric Statistics • Mann-Whitney Test • Wilcoxon’s Matched Pairs Signed-Ranks Test • Kruskal-Wallis One-Way ANOVA • Friedman’s Rank Test for k Related Samples Module 5: Longitudinal/panel and Time series Analysis Panel data analysis • Introduction to panel data • Longitudinal/panel data analysis Time series Analysis • Basic elements of time-series analysis • Managing and summarizing time-series data • Time series data analysis • Introduction to forecasting VISIT OUR WEBSITE FOR MORE DETAILS How to participate Individual Registration View Related Courses • Data Collection and Processing using CSPro • Collection and management of Research data using ODK and Kobo Tool • Mobile Data Collection for M E using ODK and Kobo Toolbox • Analysis of Qualitative Data using NVivo • Analysis of Qualitative Data using QDA Miner • Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK) • Research Methodology, Data Management, Analysis and reporting using SPSS • Epidemiology and Bio-statistics using Stata • Statistical Data Analysis using Microsoft Excel • Advanced Microsoft Excel Training • Analysis of Complex Sample Survey Data using Stata • Longitudinal/Panel and Time Series Data Analysis using Stata Most popular courses • Disaster Risk Reduction • Emergency Planning and Management • Nutrition Assessment in Emergencies • Advocacy and Lobbying skills • Flood Disaster Risk Management in Changing Climate • Early Warning Systems • View our courses catalogue in the Research Institute For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org TRAINING CUSTOMIZATION This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org REQUIREMENTS Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops. TRAINING FEE The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits. ACCOMMODATION Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org PAYMENT Payment should be transferred to Fine Results Research Limited bank before C.O.B 2nd/12/2019. Send proof of payment through the email: training@fineresultsresearch.org |
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