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Visualizing Sequences in the Social Sciences

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  • Anette Eva Fasang
  • Tim Futing Liao

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 R 2 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.

Suggested Citation

  • Anette Eva Fasang & Tim Futing Liao, 2014. "Visualizing Sequences in the Social Sciences," Sociological Methods & Research, , vol. 43(4), pages 643-676, November.
    • Handle: RePEc:sae:somere:v:43:y:2014:i:4:p:643-676
    DOI: 10.1177/0049124113506563
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    References listed on IDEAS

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    Cited by:

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    2. Piccarreta, Raffaella & Bonetti, Marco, 2019. "Assessing and comparing models for sequence data by microsimulation (with Supplementary Material)," SocArXiv 3mcfp, Center for Open Science.

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