<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This article compares two methods to study the link between educational pathways and income. Sequence analysis provides a holistic view but might fail to identify key trajectory characteristics. A new validation method overcoming this limit is proposed. Feature extraction and selection can directly identify these key characteristics. The conclusion summarizes the strengths and weaknesses of each method and provides guidelines on how to choose a method to study the relationship between a previous trajectory and a later-life outcome.</p>
</abstract>

This article compares two methods to study the link between educational pathways and income. Sequence analysis provides a holistic view but might fail to identify key trajectory characteristics. A new validation method overcoming this limit is proposed. Feature extraction and selection can directly identify these key characteristics. The conclusion summarizes the strengths and weaknesses of each method and provides guidelines on how to choose a method to study the relationship between a previous trajectory and a later-life outcome.

Back to the Features. Investigating the Relationship Between Educational Pathways and Income Using Sequence Analysis and Feature Extraction and Selection Approach

Swiss Journal of Sociology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This article compares two methods to study the link between educational pathways and income. Sequence analysis provides a holistic view but might fail to...

Back to the Features. Investigating the Relationship Between Educational Pathways and Income Using Sequence Analysis and Feature Extraction and Selection Approach

Online veröffentlicht: 18. Aug. 2023

Seitenbereich: 417 - 446

DOI: https://doi.org/10.2478/sjs-2023-0021

Schlüsselwörter
Sequence analysis, cluster validation, feature extraction and selection, income, educational pathways

© 2023 Leonhard Unterlerchner et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Back to the Features. Investigating the Relationship Between Educational Pathways and Income Using Sequence Analysis and Feature Extraction and Selection Approach

Online veröffentlicht: 18. Aug. 2023

Seitenbereich: 417 - 446

DOI: https://doi.org/10.2478/sjs-2023-0021

SchlüsselwörterSequence analysis, cluster validation, feature extraction and selection, income, educational pathways

© 2023 Leonhard Unterlerchner et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Sequence analysis, cluster validation, feature extraction and selection, income, educational pathways