Dear all,
RE: Research, Data management and Statistical Analysis using Stata
FineResults Research Services would like to invite you to high impact training on Research, Data management and Statistical Analysis using Stata to be held in Nairobi from 4th -8th May 2020 .
COURSE PROFILE
Course Name: Research, Data management and Statistical Analysis using Stata
Date: 4th -8th May 2020 .
Venue: FineResults Research Training Centre, Nairobi , Kenya
Cost: USD 800
Online Registration : REGISTER HERE
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 develop 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
Design forms using a web interface: ODK Build, Koboforms, PurcForms
Preparing the mobile phone for data collection
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
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
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
NB: We are offering you a half day, fun and interactive team building event!
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org
PAYMENT
Payment should be transferred to FineResults Research Services Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org
Visit our website for more details
How to participate
Individual Registration
Contact information
Email: training@fineresultsresearch.org
TEL: +254 732 776 700 / +254 759 285 295
Website: fineresultsresearch.org/training/
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