Search for dissertations about: "Longitudinal data analysis"

Showing result 1 - 5 of 401 swedish dissertations containing the words Longitudinal data analysis.

  2. 1. Bayesian Cluster Analysis : Some Extensions to Non-standard Situations

    Author : Jessica Franzén; Daniel Thorburn; Jukka Corander; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Cluster analysis; Clustering; Classification; Mixture model; Gaussian; Bayesian inference; MCMC; Gibbs sampler; Deviant group; Longitudinal; Missing data; Multiple imputation; Statistics; Statistik; Statistics; statistik;

    Abstract : The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite mixture model, where each component corresponds to one cluster and is given by a multivariate normal distribution with unknown mean and variance. READ MORE

  4. 2. Return Migration from Sweden : A Longitudinal Analysis

    Author : Martin Klinthäll; Tommy Bengtsson; Barry Chiswick; Lund Unviversity Department of Economic History; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Return migration; immigrants; labour migration; Economic history; Ekonomisk historia;

    Abstract : Return migration is one of the least studied areas within migration research, although it has major implications for both sending and receiving societies. The importance of the phenomenon is shown by the fact that more than 50 percent of the immigrants who arrived in Sweden in 1970 had returned after twenty years. READ MORE

  5. 3. Learning Computing at University: Participation and Identity : A Longitudinal Study

    Author : Anne-Kathrin Peters; Arnold Pears; Anders Berglund; Anna Eckerdal; Lars Ulriksen; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; computing education research; engineering education research; computer science; higher education; engagement; diversity; equity; gender; competencies; culture; longitudinal; identity; participation; power; agency; uniformity; communities of practice; social theory of learning; phenomenography; student reflections; Datavetenskap med inriktning mot datavetenskapens didaktik; Computer Science with specialization in Computer Science Education Research;

    Abstract : Computing education has struggled with student engagement and diversity in the student population for a long time. Research in science, technology, engineering, and mathematics (STEM) education suggests that taking a social, long-term perspective on learning is a fruitful approach to resolving some of these persistent challenges. READ MORE

  6. 4. Life paths through space and time: Adding the micro-level geographic context to longitudinal historical demographic research

    Author : Finn Hedefalk; Centrum för ekonomisk demografi; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Geographic micro-level factors; longitudinal historical data; geocoding; historical demography; 19th century; individual level; spatio-temporal analysis; detailed geographic data; geographic context.; property units; rural historical soceties; Geographic micro-level factors; longitudinal historical data; geocoding; historical demography; 19th century; individual level; spatio-temporal analysis; detailed geographic data; property units; geographic context;

    Abstract : Historical demographic research is central to understanding past human behaviours and traits, such as fertility, mortality and migration. An essential part of historical demography is conducting longitudinal analyses at the micro-level, which involves the detailed follow-up of individuals over long time periods throughout their lives. READ MORE

  7. 5. Nonlinear Quantile Regression for Longitudinal Data

    Author : Andreas Karlsson; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; bootstrap; dependent errors; median regression; Monte Carlo simulation; panel data; repeated measures; Statistics; Statistik; Biostatistics; Biostatistik;

    Abstract : The overall objective of the two papers in this thesis is to examine the properties of the weighted nonlinear quantile regression estimator for the analysis of longitudinal data. To this end, the question of which weights to be used, the bias of the estimator and the possibility to calculate confidence intervals has to be examined. READ MORE