Stability and Change: Illustrations with Categorical and Binary Responses

作者: Fernando Rajulton , Zenaida R. Ravanera

DOI: 10.25336/P66K60

关键词:

摘要: Longitudinal data consist of time-sequences measurements, counts or categorical responses from the same experimental units. Thus, they have a distinct advantage over cross-sectional in that provide us information on both stability and change. It is recommended therefore any longitudinal study should tap this through available techniques. In social science research, use binary more frequent than continuous-time responses. This paper aims to show detailed sophisticated analysis can be done even with sequences collected surveys. After proposing two paradigms may used explanations change, presents illustrations for sequences.

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