Course on Advanced Data Management & Analyses for Surveys using STATA

Who should attend?

• Statisticians & Researchers
  • Planners & Monitors and Evaluators
  • NGOS & Government Ministries
  • Project Managers

Learning Objectives

• • The participant will learn panel data analysis, forecasting, time series analysis survival analysis, cross sectional and longitudinal survey methods, structural equation modelling, simulation methods with tables
  • The participant will understand both descriptive and inferential statistics
  • The participant will learn various data collection techniques and data processing methods
  • The participant will learn how to use mobile phones for data collection(Open data Kit) ODK
  • The participant will learn the basic functions and navigation within STATA
  • The participant will learn how to create and manipulate graphs and figures in STATA
  • The participant will learn annotate data, set out command functions, create and execute Do files.
  • The participant will learn how to use STATA effectively for manipulating and analysing data.
  • The participant will learn how to keep records of your work and create reproducible analyses.
  • The participant will learn how to export the results they analyse.

Course Content

Introduction to Statistics, Data Collection, Processing and STATA

• Introduction to Statistics Concepts

 Data Processing and Management with STATA

• Concepts and Software and technologies for Data Collection and Processing

 Data Processing and Management with STATA

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

 Output management and tabulating data with STATA

• Output Management
• Basics of STATA programming
• Tabulating data with STATA

Basic STATA Graphics

• Basics of graphing
• Graphing quantitative
• Graphing qualitative data
• Advanced graphing

Statistical Inference

• Tests of Association
• Tests of Difference
• Hypothesis testing

Regression Analysis using STATA

• Linear Regression
• Multiple Regressions
• Binary regression
• Logistic Regression
• GLM Model
• The Problems with regression

 Advanced analysis of complex survey data

• Introduction to survey data
• Bayesian Analysis of Complex Sample Survey Data
• Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis
• Fitting Structural Equation Models to Complex Sample Survey Data
• Small Area Estimation and Complex Sample Survey Data
• Nonparametric Methods for Complex Sample Survey Data

Panel data analysis

• Introduction to panel data analysis
• Advanced longitudinal/panel data analysis

Time series Analysis

• Basic elements of time-series analysis
• Managing and summarizing time-series data
• Univariate models
• Introduction to forecasting in STATA

• For further inquiries, please contact us on 

  Tel: +254 20 2000 957.

  Mob: +254 727 446 544.

  Email: info@ajtraining.co.za

  REQUIREMENTS AND TRAINING VENUE

  The training is residential and will be held at AJT Training Centre. Delegates should be reasonably proficient in English. Applicants must live up to Alexander James Training (AJT) admission criteria.

  ACCREDITATION

  Upon successful completion of this training, participants will be issued with an Alexander James Training (AJT) certificate.

• CUSTOMIZED/TAILOR- MADE

  We will customize this training to fit your professional and institution expected outcome. You can have it delivered in our AJT Training Centre or at a convenient location.

  Kindly Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and delivery methodology