[PDF][PDF] Sequence analysis: where are we, where are we going?

G Ritschard, M Studer - Sequence analysis and related …, 2018 - library.oapen.org
Sequence Analysis (SA) has gained increasing importance in the field of social sciences
since the pioneering contributions of Andrew Abbott (eg, Abbott 1983; Abbott and Forrest …

[PDF][PDF] Combining sequence analysis and hidden Markov models in the analysis of complex life sequence data

S Helske, J Helske, M Eerola - Sequence analysis and related …, 2018 - library.oapen.org
Longitudinal data often consists of multiple parallel sequences that ought to be analyzed
jointly. For example, life course data may contain sequences of employment, family …

The digital divide: Risk and protective factors and the differences in problematic use of digital devices among Hungarian youth

H Kiss, KM Fitzpatrick, BF Piko - Children and Youth Services Review, 2020 - Elsevier
A number of psychological factors have been found to be relevant in terms of problematic
use of digital devices. Some of them may serve as risk factors, while others mean protection …

[PDF][PDF] Synthesis: Combining Methods for the Analysis of Vulnerability Processes Across the Life Course

A Berchtold, P Ghisletta - Withstanding Vulnerability throughout …, 2023 - library.oapen.org
The analysis of vulnerability processes throughout the life course implies two main
methodological difficulties. On the one hand, it requires long sequences of data that ideally …

[图书][B] The Routledge handbook of contemporary inequalities and the life course

M Nico, G Pollock - 2022 - api.taylorfrancis.com
Over recent decades, social inequality and its consequences have become difficult for both
social science and the general public to ignore as substantial increases in overall economic …

The analysis of inequality in life trajectories: an integration of two approaches

D Bolano, A Berchtold - … of Contemporary Inequalities and the Life …, 2021 - taylorfrancis.com
This chapter presents and discusses two complementary statistical approaches for
analyzing trajectories in a life course perspective: Sequence analysis and Markovian …

Bootstrap validation of the estimated parameters in mixture models used for clustering

Z Taushanov, A Berchtold - Journal de la société française de …, 2019 - numdam.org
When a mixture model is used to perform clustering, the uncertainty is related both to the
choice of an optimal model (including the number of clusters) and to the estimation of the …

The use of a hidden mixture transition distribution model in clustering few but long continuous sequences: An illustration with cognitive skills data

Z Taushanov, P Ghisletta - Symmetry, 2020 - mdpi.com
In accordance with the theme of this special issue, we present a model that indirectly
discovers symmetries and asymmetries between past and present assessments within …

[PDF][PDF] Latent Markovian Modelling and Clustering for Continuous Data Sequences

Z Taushanov - 2018 - serval.unil.ch
Different types of continuous longitudinal data are widely used in social sciences and other
fields. These data are referred to as panel data, cohort studies, growth curves or simply time …