INTRODUCTION

Stata is a complete statistical software package for data management, data analysis and graphics. It comprises classical and advanced functions including: panel data analysis, forecasting, time series analysis, survival analysis, cross sectional and longitudinal survey methods, structural equation modeling, simulation methods and tables for almost all researchers and analysts. The software can be used via a graphical user interface (menus and dialog boxes) or a command-line interface using its very intuitive programming language. Stata benefits from a very active user community giving support on a dedicated mailing list (Statalist) and developing new packages to extend the software capabilities.

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
• Use mobile phones for data collection(Open data Kit)
• Use basic functions and navigation within Stata
• Create and manipulate graphs and figures in Stata
• Annotate data, set out command functions, create and execute Do files.
• Use Stata effectively for manipulating and analysing data.
• Keep records of your work and create reproducible analyses.
• Export the results of your analyses.

TOPICS TO BE COVERED

Module 1: Introduction

• Introduction to Statistics Concepts

• Concepts and Software and technologies for Data Collection and Processing

• Stata Basics
• Data Structures and Types of Variables
• Data Management using Stata

• Output Management
• Basics of stata programming
• Tabulating data with Stata

Module 2: Descriptive Statistics

Measures of Variability and Central Tendency  

• Describing quantitative data
• Describing qualitative data

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

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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 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 FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY

•                   All requests for cancellations must be received in writing.

•                   Changes will become effective on the date of written confirmation being received.