ACSPRI Conferences, RC33 Eighth International Conference on Social Science Methodology

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Causal Analysis of Sequence Pattern: An Empirical Comparison of Two Sequence Complexity Measures

Georgios Papastefanou, Ewa Jarosz

Building: Law Building
Room: Breakout 4 - Law Building, Room 106
Date: 2012-07-10 03:30 PM – 05:00 PM
Last modified: 2011-12-12


Elzinga and Liefbroer (2007) proposed an index of turbulence, which allows to capture trajectory characterics of sequences into one single quantitative measure. Elzinga (2010) renamed this index as index of sequence complexity, which is a composite measure that accounts for the number of distinct subsequences of a sequence and the variance of the consecutive times spent in the distinct states. Recently, Gabadinho et al.(2010) introduced another complexity index as a composite measure that combines the number of transitions in the sequence with the longitudinal entropy. Using data from the German Time Use Survey and from the Polish Time Use Survey we want to examine the substantive differences of these two measures, by using them as predictors in a multivariate model of subjective well-being.