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.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|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 14:05|
|Last Modified:||29 Oct 2011 05:49|
Repository Staff Only: item control page