Volume 173, Issue 1

Exploring sequences: a graphical tool based on multi‐dimensional scaling

Orna Lior

Bocconi University, Milan, Italy

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First published: 09 December 2009
Citations: 20
Raffaella Piccarreta, Department of Decision Sciences and ‘‘Carlo F. Dondena’’ Centre for Research on Social Dynamics, Bocconi University, via Guglielmo Röntgen 1, 20136 Milano, Italy.
E‐mail: raffaella.piccarreta@unibocconi.it

Abstract

Summary. Sequence analysis has become one of the most used and discussed tools to describe life course trajectories. We introduce a new tool for the graphical exploratory analysis of sequences. Our plots combine standard sequence plots with the results that are provided by multi‐dimensional scaling. We apply our procedure to describe work and family careers of Israeli women by using data from the Israel Social Mobility Survey. We first focus on some preliminary choices relative to the definition of the sequences: the age span, the length of the sequences and the set of states registered in each time period. We then describe how our plots can be used to gain insights about the main features of sequences and about the relationships between sequences and external information.

Number of times cited according to CrossRef: 20

  • Healthcare utilization after a first hospitalization for COPD: a new approach of State Sequence Analysis based on the '6W' multidimensional model of care trajectories, BMC Health Services Research, 10.1186/s12913-020-5030-0, 20, 1, (2020).
  • Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization, Journal of Data and Information Quality, 10.1145/3301294, 11, 2, (1-22), (2019).
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  • Temporal Methods in Political Elite Studies, The Palgrave Handbook of Political Elites, 10.1057/978-1-137-51904-7, (115-133), (2018).
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