Search results for "Latent variable"
showing 10 items of 51 documents
Latent interaction effects in the theory of planned behaviour applied to quitting smoking.
2013
Objectives This study applies three latent interaction models in the theory of planned behaviour (TPB; Ajzen, 1988, Attitudes, personality, and behavior. Homewood, IL: Dorsey Press; Ajzen, 1991, Organ. Behav. Hum. Decis. Process., 50, 179) to quitting smoking: (1) attitude × perceived behavioural control on intention; (2) subjective norms (SN) × attitude on intention; and (3) perceived behavioural control × intention on quitting behaviour. Methods The data derive from a longitudinal Internet survey of 939 smokers aged 15–74 over a period of 4 months. Latent interaction effects were estimated using the double-mean-centred unconstrained approach (Lin et al., 2010, Struct. Equ. Modeling, 17, 3…
Subjective well-being key elements of Successful Aging: A study with Lifelong Learners older adults from Costa Rica and Spain.
2019
Abstract Subjective well-being is a major psychological construct in the research tradition. Along with literature, authors have distinguished between hedonic and eudaimonic well-being. The aim of this study is to determine the role of some psychosocial variables plays in the perceived well-being is conceived from a hedonic or a eudaimonic perspective. The sample consisted of 1016 people of 55 years and older in a Spanish sample and 277 people of 55 years old or older from a Costa Rican sample. Both samples were part of the Longitudinal Older Learners (LOL) study. A structural model with latent variables was estimated with Mplus. The results point out that, the traditional variables include…
Alternative Diagonality Criteria for SOBI
2015
Blind source separation (BSS) is a multivariate data analysis method, whose roots are in the signal processing community. BSS is applied in diverse fields, including, for example, brain imaging and economic time series analysis. In the BSS model there are interesting latent uncorrelated variables, and the aim is to estimate the latent variables from multiple linear combinations of them. In this article we assume that these variables are weakly stationary time series, and we consider estimation methods which are based on approximate joint diagonalization of autocovariance matrices. In the popular SOBI estimator, a set of matrices is most diagonal when the sum of squares of their diagonal ele…
Advances in blind source separation for spatial data
2021
Viele Datensaetze bestehen aus multivariaten Messungen, die an verschiedenen geographischen Orten durchgefuehrt wurden. Typischerweise besitzen solche Datensaetze die Eigenschaft, dass Messungen in unmittelbarer Naehe aehnlicher sind als Messungen, die eine hohe Entfernung aufweisen. In der statistischen Analyse solcher raeumlichen Daten sollte diese spezielle Eigenschaft beruecksichtigt werden. In letzter Zeit wurde in der statistischen Literatur die sogenannte Blind Source Separation Methode auf raeumliche Daten erweitert. In diesem Model wird angenommen, dass die Daten aus Linearkombinationen von unbeobachteten Variablen bestehen, und das Ziel ist diese latenten Variablen zu bestimmen. D…
The democratization process: An empirical appraisal of the role of political protest
2020
Abstract This paper analyses the role of peaceful and violent protest in the democratization process. We interpret the democratization process as a sequence of phases so as to allow citizens' and elites' preferences for democracy to vary according to the particular phase that a country is experiencing. By doing so we jointly model the probability of protest and of moving through different phases of democracy taking into account time-constant and time-varying unobserved heterogeneity. In particular, we develop a multivariate finite mixture model that introduces a latent variable to capture unobservable factors. On a sample of 171 countries from 1971 to 2010, we provide evidence that protest …
The Antecedents of Customer Loyalty - Results of an Empirical Study in the Automotive Industry
2015
Customer satisfaction is regarded as the key to customer loyalty in the automotive industry. However, this relationship is influenced by several other variables, like switching barriers or variety seeking. This paper provides a structural equation model with latent variables for modeling this complex relationship. According to literature, high satisfaction should lead to loyalty but is heavily affected by moderating variables. An empricial study is reported which supports these predictions as well as the arguments on which they are based.
Public transportation and fear of crime at BRT Systems: Approaching to the case of Barranquilla (Colombia) through integrated choice and latent varia…
2021
Abstract Security perception and Fear of Crime (FoC) in urban scenarios have the potential to affect travel behavior, changing people’s travel choices and patterns. In this sense, the feeling of being “safe” or “at-risk” in public transportation not only depends on observable factors like illumination, travel companionship or transport crowding, but also on unobservable individual-specific latent attributes, among which fear of crime constitutes a major issue to consider in transport security policy-making. This study aimed to describe the relationships among sociodemographic features, travel situations, system-design features, and the Fear of Crime at three different locations (buses, bus …
Hierarchical Bayesian models for analysing fish biomass data. An application to Parapenaeus longirostris biomass data
2022
The Mediterranean International Trawl Survey (MEDITS) programme provides spatially referenced ecological data. We adopted a hierarchical Bayesian model to analyse Parapenaeus longirostris biomass data. The model comprises three parts, each of which identifies: the variability due to the explanatory variables, the variability due to the spatial domain (seen as a Gaussian Process) and the irregular component modelled as white noise. The estimated parameters show that some seabed characteristics affect biomass quantity and that the estimated behaviour of the Gaussian Process changes over different groups of years.
Impact of missing data mechanism on the estimate of change: a case study on cognitive function and polypharmacy among older persons
2015
Piia Lavikainen,1,2 Esko Leskinen,3 Sirpa Hartikainen,1,2 Jyrki Möttönen,4 Raimo Sulkava,5 Maarit J Korhonen6 1Kuopio Research Centre of Geriatric Care, University of Eastern Finland, Kuopio, Finland; 2School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; 3Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland; 4Department of Social Research, University of Helsinki, Helsinki, Finland; 5Department of Geriatrics, Institute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; 6Department of Pharmacology, D…
Validación del cuestionario SEQ en población universitaria española. Capacidades del alumno y entorno de enseñanza/aprendizaje
2018
En este trabajo se validó el cuestionario SEQ (Study Engagement Questionnaire) de Kember y Leung (2009) en una muestra española. Es un instrumento diseñado para realizar una evaluación conjunta de los procesos de enseñanza-aprendizaje en la universidad y devolver feed-back a los profesores y a las instituciones para la mejora de estos procesos. Se utilizó una muestra de 805 sujetos de tres universidades valencianas. El cuestionario evalúa diversas capacidades del alumno así como la capacidad del profesor para diseñar un entorno de aprendizaje idóneo para aprender. Ha tenido varias versiones hasta conseguir una estabilidad notable en sus dimensiones (variables latentes) y en las relaciones e…