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Analysis of Complex Sample Survey Data Course


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 (e.g. SAS, SPSS, and Stata) 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


10 Days


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.


  • 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.

  • 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.


Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.


The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.


The training is residential and will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mob: +250 789 621 067 


This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.


Payment should be transferred to IRES account through bank on or before C.O.B.  6th July 2020.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.    Participants may cancel attendance 14 days or more prior to the training commencement date.

2.    No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

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

Event Properties

Event Duration 10 Days
Event Date 13-07-2020
Event End Date 24-07-2020
Cut off date 06-07-2020
Individual Price(rwanda franc) R₣ 1,112,000
Individual Price (International) EUR 687
Individual Price(International in Dollars) USD 1,999
Location Kigali,Rwanda
We are no longer accepting registration for this event
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+250 789 621 067
[email protected]
Kamukina KG 501 Gate
Kigali, Rwanda

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