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.

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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]

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Indepth Research Services (IRES) is a global institutional capacity building, technical and management consultancy firm with its head office in Nairobi, Kenya.

IRES offers technical and management consultancy services as well as education and training services designed for individuals’ and groups from organizations working in public, not for profit and private sectors.

IRES Kenya has identified itself with a niche market that largely comprises of Government ministries, departments and agencies (MDA’s) and UN agencies, Non-Governmental Organizations, from Africa, Europe, Asia, Middle-East and the Caribbean. We have also served academic institutions, international research organizations, financial institutions and private companies from across the globe. As at 2018 we offer our services in more than 15 locations globally.

Our technical and management consultancy services are in the areas of Agriculture, Education, Energy, Oil and gas, Health, Environment and natural resources, ICT for development, spatial planning, Governance, Management and leadership, communication, transport, revenue management, marketing development and environment among others.
Our education and training services are aimed helping individuals improve their professional knowledge, competence, skill, and effectiveness and enable the institutions to get the best out of their workforce. This is achieved through conducting high impact professional diploma and certificate courses, short courses, conferences, workshops and seminars. ...

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