Visualizing Sequences in the Social Sciences: Relative Frequency Sequence Plots

Anette Eva Fasang and Tim Futing Liao

EconStor Open Access Articles and Book Chapters, 2014, vol. 43, issue 4, 643-676

Abstract: Visualization is a potentially powerful tool for exploration and complexity reduction of categorical sequence data. This article discusses currently available sequence visualization against established criteria for graphical excellence in the visual display of quantitative information. Existing sequence graphs fall into two groups: They either represent categorical sequences or summarize them. The authors propose relative frequency sequence plots as an informative way of graphing sequence data and as a bridge between data representation graphs and data summarization graphs. The efficacy of the proposed plot is assessed by the R2 and the F statistics. The applicability of the proposed graphs is demonstrated using data from the German Life History Study on women’s family formation.

Keywords: sequence analysis; visualization; optimal matching; sequence index plots (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/209702/1/F ... ing-sequences-in.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:209702

DOI: 10.1177/0049124113506563

Access Statistics for this article

More articles in EconStor Open Access Articles and Book Chapters from ZBW - Leibniz Information Centre for Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().