How to Analyze Complex Sample survey Data Using Stata Software

4 months ago Posted By : User Ref No: WURUR105328 0
  • Image
  • TypeTraining or Development Class
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  • Location Nairobi, Kenya
  • Price
  • Date 21-11-2022 - 25-11-2022
How to Analyze Complex Sample survey Data Using Stata Software, Nairobi, Kenya
Training or Development Class Title
How to Analyze Complex Sample survey Data Using Stata Software
Event Type
Training or Development Class
Training or Development Class Date
21-11-2022 to 25-11-2022
Last Date for Applying
Nairobi, Kenya
Organization Name / Organize By
FineResults Research Services
Organizing/Related Departments
FineResults Research Services Training Center
Organization Type
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries



Business Development

Information Technology


Hardware/Software/Networking Services

Nairobi, Kenya

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research at our FineResults Research Services training facilities in Nairobi, Kenya or online.



Standard courses on statistical analysis assume that survey data arise from a simple random sample of the target population. Little attention is given to characteristics often associated with survey data, including missing data, unequal probabilities of selection, stratified multistage sample designs, and measurement errors. Most standard statistical procedures in software packages commonly used for data analysis do not allow the analyst to take these properties of survey data into account unless specialized survey procedures are used. Failure to do so can have an important impact on the results of all types of analyses, ranging from simple descriptive statistics to estimates of parameters of multivariate models. This course provides an introduction to specialized software procedures that have been developed for the analysis of complex sample survey data including testing for between-group differences in means and proportions, regression analysis, logistic regression and multilevel modeling. We will also consider the consequences of non response and missing data on survey analysis and methods for dealing with missing data. Specialized procedures for survey data analysis from the Stata systems for data management and analysis will be used to develop course examples and exercises



At the end of the training, participant will understand:

• Descriptive and inferential statistics

• Various data collection techniques and data processing methods e.g. Open data Kit (ODK)

• How to create and manipulate graphs and figures in STATA

• How to use STATA effectively for manipulating and analysing data.



5 Days



Module 1:

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


Module 2:

Survey estimation and inference for complex designs

• Complex sample designs, survey estimation and inference

• Multi-stage designs, stratification, cluster sampling, weighting, item missing data, finite population corrections

• Models and assumptions for inference from complex sample survey data

• Sampling distributions, confidence intervals

• Design effects.


Module 3:

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


Module 4:

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


Module 5:

Time series Analysis

• Basic elements of time-series analysis

• Managing and summarizing time-series data

• Univariate models

• Introduction to forecasting in STATA


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: (+254 759 285 295) or Email: [email protected] 



Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.




In-person USD 900


Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to [email protected]

For any registration of 3 or more participants; we offer a discount of up to 10%.

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.


Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: [email protected] 



Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: [email protected] 



  • All requests for cancellations must be received in writing.
  • Changes will become effective on the date of written confirmation being received.

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Registration Fees
Registration Fees Details
USD 900
Registration Ways
FineResults Research Services Training Center  FineResults Research Services Training Center 
Official Email ID
Edith Wairimu

[email protected]

   +254 759 285 295