Search results for "Latent variable"
showing 10 items of 51 documents
An entrepreneur's social capital and performance: the role of access to information in the Argentinean case
2012
Purpose - The aim of this paper is to analyze the impact of an entrepreneur's social capital on their access to information, and how such access improves the performance of their entrepreneurial project. Design/methodology/approach - A structural equations model (SEM) is estimated and validated from a database including information from 282 Argentinean entrepreneurs who answered a questionnaire specifically designed for this research. The analysis of this model allowed the impact of dependent latent variables on the performance of the start-up to be determined. Findings - The performance of an entrepreneurial project depends on an entrepreneur's access to finance, markets and information. S…
La responsabilidad social como creadora de valor de marca: el efecto moderador de la atribución de objetivos
2013
ResumenLas iniciativas de responsabilidad social corporativa (RSC) pueden influir en el valor de marca de las empresas. Para ello, se requiere que estas iniciativas sean identificadas por el consumidor y que su comunicación proyecte un comportamiento motivado socialmente. En este trabajo se analizan estos 2 requisitos a través de un estudio empírico que analiza la relación entre la notoriedad de las iniciativas de responsabilidad social y el valor de marca, así como el efecto moderador de la atribución de objetivos de la empresa. Los resultados muestran que las acciones de RSC influyen positivamente sobre las 2 dimensiones del valor de marca, la actitud hacia la marca y la singularidad. Asi…
Graphical models for estimating dynamic networks
2012
Het bepalen van dynamische netwerken met behulp van data is een actief onderzoeksgebied, met name in de systeem biologie. Het schatten van de structuur van een netwerk heeft te maken met het bepalen van de aan of afwezigheid van een relatie tussen de hoekpunten in de graaf. Grafische modellen definiëren deze relaties via conditionele afhankelijkheid. In Gaussiaanse grafische modellen (GGM) wordt verondersteld dat de hoekpunten een normale verdeling volgen. Dit heeft grote voordelen vanwege de computationele handelbaarheid van GGM. Standaard GGM zijn echter niet bruikbaar om grote netwerken te bestuderen, i.e. als het aantal waarnemingen minder is dan het aantal hoekpunten van de graaf. Rece…
Polynomial Regression and Measurement Error
2020
Many of the phenomena of interest in information systems (IS) research are nonlinear, and it has consequently been recognized that by applying linear statistical models (e.g., linear regression), we may ignore important aspects of these phenomena. To address this issue, IS researchers are increasingly applying nonlinear models to their datasets. One popular analytical technique for the modeling and analysis of nonlinear relationships is polynomial regression, which in its simplest form fits a "U-shaped" curve to the data. However, the use of polynomial regression can be problematic when the independent variables are contaminated with measurement error, and the implications of error can be m…
The analysis of urban travellers’ latent preferences to explain their mode choice behaviour
2012
Our research aims to explore the impact of latent variables, mirroring urban travellers’ attitudes and perceptions, on the individual decision making process regarding the mode of transport. The paper describes the first results of an ongoing research activity, which derive from a pilot study conducted in Palermo, the capital of the Sicilian Region (in the south of Italy), and demonstrate that policy makers, in designing a socially desirable and environmentally sustainable urban mobility system, should take into account how travellers perceive the qualitative dimensions of transport.
Taste heterogeneity and latent preferences in the choice behaviour of freight transport operators
2013
In this paper we show that individual attitudes of road carriers and their latent preferences toward specific freight service attributes do play a role in determining their mode choices. Specifically, we contribute to the empirical literature on freight agents' mode choice by exploring the role of the "perceived importance" of the most relevant service dimensions in determining the attractiveness of two alternatives to "all-road" transport: logistics terminals and road-sea intermodal services. This is carried out through a revealed/stated preference experiment and a mixture of logit framework. Our results support the hypothesis that operators' attitudes towards time, punctuality and risk of…
A New Multiblock PLS Based Method to Estimate Causal Models: Application to the Post-Consumption Behavior in Tourism
2009
This study presents a new algorithm for estimating causal models based on multiblock PLS method. This new algorithm is tested in a particular post-consumption behavior with the aim of validating a complex system of relations between antecedents of value, perceived value, satisfaction and loyalty. The results are compared with the classical LVPLS method: both methods support the proposed structural relations, but the explained variance is slightly higher with the new algorithm.
Aportaciones de la teoría de la autodeterminación a la predicción de la satisfacción escolar en estudiantes universitarios
2019
La literatura especializada ofrece evidencias de que en todo el mundo las tasas de deserción universitaria son elevadas, generando inconvenientes para los propios estudiantes, para la institución a la que pertenecen y para la sociedad en general. Los determinantes del abandono de los estudios son diversos, considerando uno de los más importantes la satisfacción de los estudiantes con su entorno educativo. La satisfacción académica de los estudiantes depende en gran medida del clima motivacional del aula y de la satisfacción de las necesidades psicológicas básicas, fundamento de la teoría de la autodeterminación. En el marco teórico de la motivación autodeterminada y de la psicología positiv…
Interindividual Differences in Treatment Effects based on Structural Equation Models with Latent Variables: An EffectLiteR Tutorial
2019
The investigation of interindividual differences in the effects of a treatment is challenging, because many constructs-of-interest in psychological research such as depression or anxiety are latent variables and modeling heterogeneity in treatment effects requires interactions and potentially nonlinear relationships. In this paper, we present a tutorial of the EffectLiteR approach (Mayer, Dietzfelbinger, Rosseel, & Steyer, 2016) that allows for estimating individual treatment effects based on latent variable models. We describe step by step how to apply the approach using the EffectLiteR software package with data from the multicenter randomized controlled trial of the Social Phobia…
Fast and universal estimation of latent variable models using extended variational approximations
2022
AbstractGeneralized linear latent variable models (GLLVMs) are a class of methods for analyzing multi-response data which has gained considerable popularity in recent years, e.g., in the analysis of multivariate abundance data in ecology. One of the main features of GLLVMs is their capacity to handle a variety of responses types, such as (overdispersed) counts, binomial and (semi-)continuous responses, and proportions data. On the other hand, the inclusion of unobserved latent variables poses a major computational challenge, as the resulting marginal likelihood function involves an intractable integral for non-normally distributed responses. This has spurred research into a number of approx…