Search results for "sekvenssianalyysi"
showing 7 items of 7 documents
Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R
2019
Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are multiple parallel sequences per subject. Hidden (latent) Markov models (HMMs) are able to detect underlying latent structures and they can be used in various longitudinal settings: to account for measurement error, to detect unobservable states, or to compress information across several types of observations. Extending to mixture hidden Markov models (MHMMs) allows clustering data into homogeneous subsets, with or without external covariate…
Exploring evolutionary responses to increasing temperature in an environmental opportunistic pathogen
2017
Statistical analysis of life sequence data
2016
Partnership formation and dissolution over the life course: applying sequence analysis and event history analysis in the study of recurrent events
2015
We present two types of approach to the analysis of recurrent events for discretely measured data, and show how these methods can complement each other when analysing co-residential partnership histories. Sequence analysis is a descriptive tool that gives an overall picture of the data and helps to find typical and atypical patterns in histories. Event history analysis is used to make conclusions about the effects of covariates on the timing and duration of the partnerships. As a substantive question, we studied how family background and childhood socio-emotional characteristics were related to later partnership formation and stability in a Finnish cohort born in 1959. We found that high se…
From Sequences to Variables : Rethinking the Relationship between Sequences and Outcomes
2021
Sequence analysis is increasingly used in the social sciences for the holistic analysis of life-course and other longitudinal data. The usual approach is to construct sequences, calculate dissimilarities, group similar sequences with cluster analysis, and use cluster membership as a dependent or independent variable in a regression model. This approach may be problematic, as cluster memberships are assumed to be fixed known characteristics of the subjects in subsequent analyses. Furthermore, it is often more reasonable to assume that individual sequences are mixtures of multiple ideal types rather than equal members of some group. Failing to account for uncertain and mixed memberships may l…
Sisäiset dialogit allianssikatkosten prosessointikeskusteluissa : tapaustutkimus terapeuttisen yhteistyösuhteen ongelmien ratkaisemisesta moniäänisen…
2015
Tutkimuksessa tarkasteltiin yksilöpsykoterapiassa käytäviä yhteistyösuhdekatkosten prosessointikeskusteluja asiakkaan ongelmallisen kokemuksen rakentumisen näkökulmasta. Tutkimuksen ensimmäisessä vaiheessa tutkittiin yhteistyösuhteessa tapahtuvia muutoksia katkosten ja ratkaisuyritysten näkökulmasta. Toinen osa oli tutkia ongelmallisen kokemuksen rakentumista eli tarkastella asiakkaan sisäisiä dialogeja yhteistyösuhteen prosessointikeskusteluissa. Tavoitteena oli tutkia onko katkoksilla, niiden ratkaisemisella ja ongelmallisella kokemuksella yhteyttä toisiinsa. Tutkimus toteutettiin tapaustutkimuksena, jossa aineistona oli yhden terapia-asiakkaan terapiaprosessi. Terapia toteutettiin Jyväsk…