Complex Survey Designs and Analysis

SOST70032 Complex Survey Designs and Analysis 15 Semester 2 Postgraduate Taught Level 7 Diego Perez Ruiz Unit coordinator Social Statistics 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 This course provides an insight into the design and methodological issues for the analysis of complex surveys. It also introduces analytical methods and software for handling complex datasets.  This module extends the students’ skills on conducting survey research and dealing with complex datasets by focussing on more advanced methodological aspects of surveys.  It covers the most important features of design and analysis in complex surveys. Different sampling strategies involving stratification and clustering will be discussed, in regards to their impact on analysis. Further aspects of survey methodology such as how to compensate for non-response, will be presented as well as methodological issues arising in longitudinal designs, such as clustering and attrition.  Since a major focus of the course relates to how these methodological aspects affect the analysis, two different statistical approaches of dealing with all these features of complex surveys will be discussed: the design and model-based approach.  The module will also go into more detail and practice with multilevel modelling. A substantial part of the course will be based on computer sessions whereby the techniques of handling complex surveys will be practised with complex datasets. This course provides an insight into the design and methodological issues for the analysis of complex surveys. It also introduces analytical methods and software for handling complex survey datasets. At the end of this module, students should be able to:• Understand methodological concepts in survey design, estimation and adjusting for nonresponse.• Assess the strengths and weaknesses of complex survey designs and the resulting secondary survey data.• Assess how aspects of survey design will impact on the analysis.• Understand and apply multilevel and longitudinal models with complex survey data.• Use STATA (and other) software to analyse complex survey data.• Understand the difference between model-based and design-based approaches to handling complex survey designs. A combination of lecture, tutorials and computer clusters (average 3 hour per week online and on campus) 0 Other 15% 2 Written assignment (inc essay) 85% One online test (90 minutes) – 15% One assignment with Part A  (an outline research proposal) of max 500 words and Part B (report of analysis with given dataset) of max 1500 words (excluding Tables etc) - 85%   There are various opportunities for providing formative feedback on students' work and questions, for example with BB discussion boards and at tutorials. There are also two integrated formative tasks:• A modelling exercise with a given dataset (due before Easter break): students are invited to run and present the results of a (multilevel) model with their interpretation via Turnitin. Feedback is provided at individual level and also combined common misunderstandings are shared to resolve confusions and enhance understanding.• A student presentation of their proposed complex survey design study (Part A of the final assignment) - to get live feedback from teaching team and peers (Week 11 or 12). SOST70011 Introduction to Statistical Modelling Pre-Requisite Recommended SOST70011 is a Pre-Requisite for SOST70032The students should have some familiarity with survey research and statistical modelling. A pre-requisite of the course is: Introduction to Statistical Modelling (ISM - SOST70011). Y • Blair, J., Czaja, R. and Blair, E. (2014) Designing Surveys: A Guide to Decisions andprocedures, 3rd edition. CA: Sage Publication.• Heeringa, S. G., West, B. T, & Berglund, P. A. (2010). Applied Survey Data Analysis. Boca Raton: CRC Press.• Lehtonen, R. and Pahkinen, E.J. (2004) Practical Methods for Design and Analysis of Complex Surveys, 2nd edition. Chichester: John Wiley & Sons.• Lohr, S.L. (2009) Sampling: Design and Analysis, 2nd edition. Boston: Brooks/Cole.• Snijders, T.A.B. & Bosker, R.J. (2012) Multilevel analysis: An Introduction to Basic and Advanced Multilevel Modelling, 2nd edition. London: Sage. Lectures 36 0 114 InformationCompulsory for SRMSPart time students must take ISM prior to CSDA