Matthias Studer
Biographic Data
| ID | 4136619 |
|---|---|
| NAME | Matthias Studer |
| GIVEN NAMES | Matthias |
| FAMILY NAME | Studer |
| SIGNATURE | STUDER M |
| AFFILIATIONS | University of Geneva |
| ORCID | 0000-0002-6269-1412 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 73 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 5 |
Comparison of imputation methods for univariate categorical longitudinal data
The life course paradigm emphasizes the need to study not only the situation at a given point in time, but also its evolution over the life course in the medium and long term. These trajectories are often represented by categorical data. This article aims to provide a comprehensive review of the multiple imputation methods proposed so far in the context of univariate categorical data and to assess their practical relevance through a simulation st…
Cultural context and family support across 29 nations: Evidence from the ISSP 2017 social networks and social resources module
Back to the Features. Investigating the Relationship Between Educational Pathways and Income Using Sequence Analysis and Feature Extraction and Selection Approach
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 m…
How Welfare Regimes Moderate the Associations Between Cognitive Aging, Education, and Occupation
Our findings indicate that the associations of cognitive functioning and its decline with individuals' cognitive reserve markers (education and occupational skill level) vary according to welfare regimes, showing the importance of contextual factors in cognitive aging processes
Sequence analysis: Its past, present, and future
This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions. The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a lif…
Validating Sequence Analysis Typologies Using Parametric Bootstrap
In this article, the author proposes a methodology for the validation of sequence analysis typologies on the basis of parametric bootstraps following the framework proposed by Hennig and Lin (2015). The method works by comparing the cluster quality of an observed typology with the quality obtained by clustering similar but nonclustered data. The author proposes several models to test the different structuring aspects of the sequences important in…
Suite au Master: Inégalités hommes/femmes et compétition entre carrières académiques et non académiques
Cet article étudie les inégalités hommes/femmes pendant la transition du Master à la carrière académique en Suisse. Adoptant une perspective comparative, il se centre sur la variation des inégalités entre les disciplines et les met en lien avec les variations dans les perspectives de carrières en dehors du monde académique. Il en ressort que les inégalités sont particulièrement fortes dans les disciplines où la carrière académique figure parmi le…
Normalization of Distance and Similarity in Sequence Analysis
We explore the relations between the notion of distance and a feature set-based concept of similarity and show that this concept of similarity has a spatial interpretation that is complementary to distance: it is interpreted as 'direction.' Furthermore, we show how proper normalization leads to distances that can be directly interpreted as dissimilarity: Closeness in normalized space implies and is implied by similarity of the same objects, while…
Sequence Analysis and Related Approaches: Innovative Methods and Applications
This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data …
Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure
The relationship between processes and time-varying covariates is of central theoretical interest in addressing many social science research questions. On the one hand, event history analysis (EHA) has been the chosen method to study these kinds of relationships when the outcomes can be meaningfully specified as simple instantaneous events or transitions. On the other hand, sequence analysis (SA) has made increasing inroads into the social scienc…
What Matters in Differences Between Life Trajectories: A Comparative Review of Sequence Dissimilarity Measures
This is a comparative study of the multiple ways of measuring dissimilarities between state sequences. The originality of the study is the focus put on the differences between sequences that are sociologically important when studying life courses such as family life trajectories or professional careers. These differences essentially concern the sequencing (the order in which successive states appear), the timing and the duration of the spells in …
Gender, education, and family life courses in East and West Germany: Insights from new sequence analysis techniques
Spell Sequences, State Proximities, and Distance Metrics
Because optimal matching (OM) distance is not very sensitive to differences in the order of states, we introduce a subsequence-based distance measure that can be adapted to subsequence length, to subsequence duration, and to soft-matching of states. Using a simulation technique developed by Studer, we investigate the sensitivity, relative to OM, of several variants of this metric to variations in order, timing, and duration of states. The results…
Analyzing and Visualizing State Sequences in R with TraMineR
This article describes the many capabilities offered by the TraMineR toolbox for categorical sequence data. It focuses more specifically on the analysis and rendering of state sequences. Addressed features include the description of sets of sequences by means of transversal aggregated views, the computation of longitudinal characteristics of individual sequences and the measure of pairwise dissimilarities. Special emphasis is put on the multiple …
Discrepancy Analysis of State Sequences
In this article, the authors define a methodological framework for analyzing the relationship between state sequences and covariates. Inspired by the principles of analysis of variance, this approach looks at how the covariates explain the discrepancy of the sequences. The authors use the pairwise dissimilarities between sequences to determine the discrepancy, which makes it possible to develop a series of statistical significance-based analysis …
Sequence analysis: Its past, present, and future
This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions. The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a lif…
Discrepancy Analysis of State Sequences
In this article, the authors define a methodological framework for analyzing the relationship between state sequences and covariates. Inspired by the principles of analysis of variance, this approach looks at how the covariates explain the discrepancy of the sequences. The authors use the pairwise dissimilarities between sequences to determine the discrepancy, which makes it possible to develop a series of statistical significance-based analysis …
Validating Sequence Analysis Typologies Using Parametric Bootstrap
In this article, the author proposes a methodology for the validation of sequence analysis typologies on the basis of parametric bootstraps following the framework proposed by Hennig and Lin (2015). The method works by comparing the cluster quality of an observed typology with the quality obtained by clustering similar but nonclustered data. The author proposes several models to test the different structuring aspects of the sequences important in…
Spell Sequences, State Proximities, and Distance Metrics
Because optimal matching (OM) distance is not very sensitive to differences in the order of states, we introduce a subsequence-based distance measure that can be adapted to subsequence length, to subsequence duration, and to soft-matching of states. Using a simulation technique developed by Studer, we investigate the sensitivity, relative to OM, of several variants of this metric to variations in order, timing, and duration of states. The results…
Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure
The relationship between processes and time-varying covariates is of central theoretical interest in addressing many social science research questions. On the one hand, event history analysis (EHA) has been the chosen method to study these kinds of relationships when the outcomes can be meaningfully specified as simple instantaneous events or transitions. On the other hand, sequence analysis (SA) has made increasing inroads into the social scienc…
Normalization of Distance and Similarity in Sequence Analysis
We explore the relations between the notion of distance and a feature set-based concept of similarity and show that this concept of similarity has a spatial interpretation that is complementary to distance: it is interpreted as 'direction.' Furthermore, we show how proper normalization leads to distances that can be directly interpreted as dissimilarity: Closeness in normalized space implies and is implied by similarity of the same objects, while…
How Welfare Regimes Moderate the Associations Between Cognitive Aging, Education, and Occupation
Our findings indicate that the associations of cognitive functioning and its decline with individuals' cognitive reserve markers (education and occupational skill level) vary according to welfare regimes, showing the importance of contextual factors in cognitive aging processes
Analyzing and Visualizing State Sequences in R with TraMineR
This article describes the many capabilities offered by the TraMineR toolbox for categorical sequence data. It focuses more specifically on the analysis and rendering of state sequences. Addressed features include the description of sets of sequences by means of transversal aggregated views, the computation of longitudinal characteristics of individual sequences and the measure of pairwise dissimilarities. Special emphasis is put on the multiple …
Discrepancy Analysis of State Sequences
In this article, the authors define a methodological framework for analyzing the relationship between state sequences and covariates. Inspired by the principles of analysis of variance, this approach looks at how the covariates explain the discrepancy of the sequences. The authors use the pairwise dissimilarities between sequences to determine the discrepancy, which makes it possible to develop a series of statistical significance-based analysis …
Spell Sequences, State Proximities, and Distance Metrics
Because optimal matching (OM) distance is not very sensitive to differences in the order of states, we introduce a subsequence-based distance measure that can be adapted to subsequence length, to subsequence duration, and to soft-matching of states. Using a simulation technique developed by Studer, we investigate the sensitivity, relative to OM, of several variants of this metric to variations in order, timing, and duration of states. The results…
What Matters in Differences Between Life Trajectories: A Comparative Review of Sequence Dissimilarity Measures
This is a comparative study of the multiple ways of measuring dissimilarities between state sequences. The originality of the study is the focus put on the differences between sequences that are sociologically important when studying life courses such as family life trajectories or professional careers. These differences essentially concern the sequencing (the order in which successive states appear), the timing and the duration of the spells in …
Gender, education, and family life courses in East and West Germany: Insights from new sequence analysis techniques
Sequence Analysis and Related Approaches: Innovative Methods and Applications
This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data …
Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure
The relationship between processes and time-varying covariates is of central theoretical interest in addressing many social science research questions. On the one hand, event history analysis (EHA) has been the chosen method to study these kinds of relationships when the outcomes can be meaningfully specified as simple instantaneous events or transitions. On the other hand, sequence analysis (SA) has made increasing inroads into the social scienc…
Suite au Master: Inégalités hommes/femmes et compétition entre carrières académiques et non académiques
Cet article étudie les inégalités hommes/femmes pendant la transition du Master à la carrière académique en Suisse. Adoptant une perspective comparative, il se centre sur la variation des inégalités entre les disciplines et les met en lien avec les variations dans les perspectives de carrières en dehors du monde académique. Il en ressort que les inégalités sont particulièrement fortes dans les disciplines où la carrière académique figure parmi le…
Normalization of Distance and Similarity in Sequence Analysis
We explore the relations between the notion of distance and a feature set-based concept of similarity and show that this concept of similarity has a spatial interpretation that is complementary to distance: it is interpreted as 'direction.' Furthermore, we show how proper normalization leads to distances that can be directly interpreted as dissimilarity: Closeness in normalized space implies and is implied by similarity of the same objects, while…
Validating Sequence Analysis Typologies Using Parametric Bootstrap
In this article, the author proposes a methodology for the validation of sequence analysis typologies on the basis of parametric bootstraps following the framework proposed by Hennig and Lin (2015). The method works by comparing the cluster quality of an observed typology with the quality obtained by clustering similar but nonclustered data. The author proposes several models to test the different structuring aspects of the sequences important in…
How Welfare Regimes Moderate the Associations Between Cognitive Aging, Education, and Occupation
Our findings indicate that the associations of cognitive functioning and its decline with individuals' cognitive reserve markers (education and occupational skill level) vary according to welfare regimes, showing the importance of contextual factors in cognitive aging processes
Sequence analysis: Its past, present, and future
This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions. The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a lif…
Back to the Features. Investigating the Relationship Between Educational Pathways and Income Using Sequence Analysis and Feature Extraction and Selection Approach
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 m…
Comparison of imputation methods for univariate categorical longitudinal data
The life course paradigm emphasizes the need to study not only the situation at a given point in time, but also its evolution over the life course in the medium and long term. These trajectories are often represented by categorical data. This article aims to provide a comprehensive review of the multiple imputation methods proposed so far in the context of univariate categorical data and to assess their practical relevance through a simulation st…
Cultural context and family support across 29 nations: Evidence from the ISSP 2017 social networks and social resources module
Computer Science (11 works) · Data mining (8 works) · Mathematics (8 works) · Psychology (6 works) · Statistics (6 works) · Sequence (biology) (5 works) · Econometrics (4 works) · Social Psychology (4 works) · Biology (3 works) · Categorical variable (3 works)