Analysis of Complex Sample Survey Data

Event: Analysis of Complex Sample Survey Data Course

Venue: Indepth Research Services, Nairobi, Kenya

Event Date: 30th   April – 11th May 2018

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INTRODUCTION

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.

DURATION

10 Days

WHO SHOULD ATTEND?

The course does not require rigorous training in mathematics; however, proficiency in basic mathematics, including algebra and functions, is essential. Survey sampling methods and a basic understanding of sampling concepts such as stratification, cluster sampling and weighting is required. Participants should also have familiarity with basic statistical concepts, including point estimates, sampling variance, confidence intervals, p-values, the maximum likelihood method of estimation and simple linear and logistic regression models.

COURSE OBJECTIVES

By the end of the training, you will be able to:

• Understand and appropriately use statistical terms and concepts
• Design computer aided data capture screens using CSPRO
• Use mobile phone data collection tool Open Data Kit (ODK) to collect survey data
• Convert data into various formats using appropriate software
• Perform basic data analysis tasks with SPSS
• Perform simple to complex data management tasks using SPSS
• Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS
• Perform basic longitudinal, time series and econometric analysis

TOPICS TO BE COVERED

• Survey estimation and inference for complex designs
• Sampling error calculation models; ultimate clusters
• Sampling error estimation for descriptive statistics
• Replication Methods for Variance Estimation
• Estimation and inference for special statistics (percentiles, indices)
• Methods for Categorical Data
• Linear Regression Analysis
• Logistic Regression Analysis
• Multinomial, ordinal logistic regression
• Poisson and negative binomial regression
• Survival analysis and event history analysis
• Multiple imputation inference for survey data
• Multi-level models for complex sample survey data.

Visit our website for more details.

How to participate

• Tailors make your course.  
• Register individual.
• Register as a group.
• Become one of our partners.
• Purchase software’s
• Frequently asked Questions (FAQ’s)

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View course catalogue in Research Institute

For further inquiries, please contact us on Tel: +254 715 077 817, +254 731240802.

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer Email:[email protected]. Mob: +254 715 077 817

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B.23rd April 2018

Send proof of payment to [email protected]