Design, maintenance and methodology for analysing longitudinal social surveys, including applications

Domrow, Nathan Craig (2007) Design, maintenance and methodology for analysing longitudinal social surveys, including applications. Masters by Research thesis, Queensland University of Technology.


This thesis describes the design, maintenance and statistical analysis involved in undertaking a Longitudinal Survey.

A longitudinal survey (or study) obtains observations or responses from individuals over several times over a defined period. This enables the direct study of changes in an individual's response over time. In particular, it distinguishes an individual's change over time from the baseline differences among individuals within the initial panel (or cohort). This is not possible in a cross-sectional study. As such, longitudinal surveys give correlated responses within individuals. Longitudinal studies therefore require different considerations for sample design and selection and analysis from standard cross-sectional studies.

This thesis looks at the methodology for analysing social surveys. Most social surveys comprise of variables described as categorical variables.

This thesis outlines the process of sample design and selection, interviewing and analysis for a longitudinal study. Emphasis is given to categorical response data typical of a survey.

Included in this thesis are examples relating to the Goodna Longitudinal Survey and the Longitudinal Survey of Immigrants to Australia (LSIA). Analysis in this thesis also utilises data collected from these surveys. The Goodna Longitudinal Survey was conducted by the Queensland Office of Economic and Statistical Research (a portfolio office within Queensland Treasury) and began in 2002. It ran for two years whereby two waves of responses were collected.

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ID Code: 16518
Item Type: QUT Thesis (Masters by Research)
Supervisor: Pettitt, Anthony, Anh, Vo, & Spencer, Nancy
Keywords: bayesian, benchmarking, correlation, cross sectional surveys, data analysis, generalized estimating equations, imputation, longitudinal surveys, missing data, sample size, standard error, survey design, survey methodology, weighting
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Mathematical Sciences
Department: Faculty of Science
Institution: Queensland University of Technology
Copyright Owner: Copyright Nathan Craig Domrow
Deposited On: 03 Dec 2008 04:05
Last Modified: 28 Oct 2011 19:49

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