Search results for "LONG"

How many longitudinal covariate measurements are needed for risk prediction?

2014

Abstract Objective In epidemiologic follow-up studies, many key covariates, such as smoking, use of medication, blood pressure, and cholesterol, are time varying. Because of practical and financial limitations, time-varying covariates cannot be measured continuously, but only at certain prespecified time points. We study how the number of these longitudinal measurements can be chosen cost-efficiently by evaluating the usefulness of the measurements for risk prediction. Study Design and Setting The usefulness is addressed by measuring the improvement in model discrimination between models using different amounts of longitudinal information. We use simulated follow-up data and the data from t…

Real-time recognition of personal routes using instance-based learning

2011

Predicting routes is a critical enabler for many new location-based applications and services, such as warning drivers about congestion- or accident-risky areas. Hybrid vehicles can also utilize the route prediction for optimizing their charging and discharging phases. In this paper, a new lightweight route recognition approach using instance-based learning is introduced. In this approach, the current route is compared in real-time against the route instances observed in past, and the most similar route is selected. In order to assess the similarity between the routes, a similarity measure based on the longest common subsequence (LCSS) is employed, and an algorithm for incrementally evaluat…

Revealing Fake Profiles in Social Networks by Longitudinal Data Analysis

2017

Seitsemän elokuvaa kuulumisesta : lyhytelokuva menetelmänä ja tutkimuksen kohteena osallistavassa hankkeessa

2019

Artikkelissa pohditaan lyhytelokuvan roolia taideperustaisessa osallistavassa tutkimushankkeessa Rajojen yli – kuulumisen performansseja ja narratiiveja taiteen keinoin (2017–2021). Tutkijalähtöisessä hankkeessa ihmisiä kutsuttiin pohtimaan kuulumista työpajoissa taiteen tekemisen ja keskustelun kautta. Yksi työpajoista oli videotyöpaja, jossa osallistujien tavoitteena oli tehdä kuulumista käsittelevä lyhytelokuva. Työpajassa valmistui seitsemän elokuvaa, jotka esitettiin julkisessa ensi-illassa ja taidenäyttelyssä, joka koostettiin kaikissa työpajoissa valmistuneista teoksista. Itsereflektiivisen artikkelin lähtökohtana on kysymys siitä, miten tutkijoiden ”tilauksesta” tehtyjä lyhytelokuvi…

Miten tukea opiskelijavalintajärjestelmän uudistumista vaihtoehtoisilla reiteillä?

2018

Teacher efficacy predicts teachers’ attitudes towards inclusion – a longitudinal cross-lagged analysis

2020

Over the past decades, an abundance of studies have assessed teacher attitudes and self-efficacy beliefs related to inclusive education. However, empirical evidence on the causal relationship between efficacy and attitudes is still rare and inconclusive. Therefore, the present study focused on identifying the interdependent relationship between teachers’ attitudes and their self-efficacy beliefs using a cross-lagged panel design path analysis. A total of 1326 teachers from Finish schools participated in an electronic survey. Teachers’ self-efficacy beliefs were assessed five times and attitudes (attitudes and concerns subscale) three times over three years. The outcomes indicated that both …

Who Becomes U.S. Mathematics Teachers: A Longitudinal Analysis of First-time Praxis® II Mathematics Content Knowledge Examinees

2018

International audience; The U.S. uses the Praxis® tests to measure academic skills and the subject-specific content knowledge needed to be a teacher. This study examined Praxis® Mathematics Content Knowledge scores from 2006 to 2016 to describe patterns in who are becoming certified to teach mathematics in the country. Longitudinal analyses were used to discern patterns in the demographics of examinees and trends in exam performance across several demographic characteristics. The results reveal substantial differences in performance and pass rates between examinees of different genders, races, undergraduate majors, undergraduate GPAs, and census regions. From our analyses, we suggest severa…

Child socioemotional behavior and adult temperament as predictors of physical activity and sedentary behavior in late adulthood

2023

Background Most studies investigating the association of temperament with physical activity and sedentary behavior have examined children or adolescents, employed cross-sectional or longitudinal designs that do not extend from childhood into adulthood, and utilized self- or parent-reported data on physical activity and sedentary behavior. This longitudinal study investigated whether socioemotional behavior in childhood and temperament in middle adulthood predict accelerometer-measured physical activity and sedentary behavior in late adulthood. Methods This study was based on the Jyväskylä Longitudinal Study of Personality and Social Development (JYLS). Socioemotional behavior (behavioral ac…

ModeLTER : modelling of landscapes and territories over the long term, the members of an European Associated Laboratory (EAL) in CAENTI.

2006

International audience; The aim of this new project is the modelisation of landscapes and territories over the long term. This has been a topic that engaged the proposed research team for several years, particularly in the frame of two European projects, Archeomedes I & II, during the 1990s (Van der Leeuw S., Favory F., Fiches J.- L. (eds.) 2003, Favory F., Girardot J.-J., van der Leeuw S. 2004). Both French and Slovenian teams were involved in the project by Professors S. Van der Leeuw and Z. Stančič. Since this period, the collaboration of French and Slovenian researchers increased in activity, and it finds now a new organization in an European Associated Laboratory, linking archaeologist…

Predicting fruit and vegetable consumption in long-haul heavy goods vehicle drivers : application of a multi-theory, dual-phase model and the contrib…

2018

Fruit and vegetable intake is insufficient in industrialized nations and long-haul heavy goods vehicle (HGV) drivers are considered a particularly at-risk group. The aim of the current study was to test the effectiveness of a multi-theory, dual-phase model to predict fruit and vegetable consumption in Australian long-haul HGV drivers. A secondary aim was to examine the effect of past fruit and vegetable consumption on model paths. A prospective design with two waves of data collection spaced one week apart was adopted. Long-haul HGV drivers (N = 212) completed an initial survey containing theory-based measures of motivation (autonomous motivation, intention), social cognition (attitudes, su…