Stability and Change: Illustrations with Categorical and Binary Responses

Longitudinal data consist of time-sequences of measurements, counts or categorical responses from the same experimental units. Thus, they have a distinct advantage over cross-sectional data in that they provide us the information on both stability and change. It is recommended therefore that any lon...

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Bibliographic Details
Published in:Canadian studies in population 2001-12, Vol.28 (2), p.491-512
Main Authors: Rajulton, Fernando, Ravanera, Zenaida R
Format: Article
Language:English
Subjects:
Categorical Data
Changes
Longitudinal research
Longitudinal Studies
Methodological Problems
Methodology (Data Analysis)
R&D
Research & development
Research Design
Research Responses
Social sciences
Surveys
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Summary:Longitudinal data consist of time-sequences of measurements, counts or categorical responses from the same experimental units. Thus, they have a distinct advantage over cross-sectional data in that they provide us the information on both stability and change. It is recommended therefore that any longitudinal study should tap this information through available techniques. In social science research, the use of categorical and binary responses is more frequent than the use of continuous-time responses. This paper aims to show that more detailed and sophisticated analysis can be done even with categorical and binary sequences collected through longitudinal surveys. After proposing two paradigms that may be used in the explanations of stability and change, the paper presents two illustrations for the analysis of categorical and binary sequences.
ISSN:0380-1489
1927-629X
DOI:10.25336/P66K60