Michel Meulders

Michel Meulders
KU Leuven | ku leuven ·  Faculty of Economics and Business

PhD Psychology

About

57
Publications
7,582
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888
Citations
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September 2009 - August 2017
KU Leuven
Position
  • Professor

Publications

Publications (57)
Article
Full-text available
Discrete choice experiments (DCEs) have become an often-used research method in food research due to their ability to uncover trade-offs made when choosing among multiple alternatives, especially when dealing with credence attributes. Insights into the main elements of the consumers’ decision-making process are key to informing both public and priv...
Article
Fear-avoidance models of chronic pain consider excessive spreading (or overgeneralization) of pain-related avoidance toward safe activities to play a crucial role in chronic pain disability. This study (N = 96) investigated whether avoidance generalization is mitigated by positive affect induction. Pain-free, healthy participants performed an arm-r...
Article
We propose a two-stage choice model in which decision makers first filter out alternatives (consideration stage) before choosing their preferred alternative among the considered options (choice stage). The model accounts for heterogeneity in consideration screening by allowing respondents to have different thresholds for accepting attribute levels....
Article
Pain-related fear and –avoidance crucially contribute to pain chronification. People with chronic pain may adopt costly avoidance strategies above and beyond what is necessary, aligning with experimental findings of excessive fear generalization to safe movements in these populations. Furthermore, recent evidence suggests that, when avoidance is co...
Article
Choice data appear together with drop out data indicating if respondents completed the exercise. In case of non-completion, the choice sequences end at the tasks where the respondents exited the study. In the analysis of choice data, the focus is always on choices made while the drop out behavior is completely ignored. However, the choice making an...
Article
In this article, we describe the randregret command, which implements a variety of random regret minimization (RRM) models. The command allows the user to apply the classic RRM model introduced in Chorus (2010, European Journal of Transport and Infrastructure Research 10: 181–196), the generalized RRM model introduced in Chorus (2014, Transportatio...
Article
In online shopping, e-consumers often choose one among many websites on which to place their orders. The choice depends on key attributes such as trust labels. Presence of such a label shows that the website has been independently certified for online security and privacy. However, consumers may not search for websites with security and privacy sea...
Article
Although dynamics within and outside organizations emphasize the importance of employee adaptability, a validated scale that assesses employee adaptability as an individual difference construct is still lacking. Five studies were conducted to develop (Study 1, N = 235) and validate a 10-item scale for employee adaptability and investigate its facto...
Article
Avoidance is considered a key contributor to the development and maintenance of chronic pain disability, likely through its excessive generalization. This study investigated whether acquired avoidance behavior generalizes to novel but similar movements. Using a robotic arm, participants moved their arm from a starting to a target location via one o...
Article
Background and aims Pain-related fear and its subsequent generalization is key to the development and maintenance of chronic pain disability. Research has shown that pain-related fear acquired through classical conditioning generalizes following a gradient, that is, novel movements that are proprioceptively similar to the original pain-associated m...
Article
Full-text available
Sustainability labels, on food products, provide information to consumers that the product has been produced in an ethical and environmentally friendly way. We explore the knowledge and purchasing behaviour of the organic label and fair trade label. Secondly, we investigate the willingness-to-pay (WTP) for food products bearing organic and fair tra...
Article
Full-text available
The analysis of binary three-way data (i.e., persons who indicate which attributes apply to each of a set of objects) may be of interest in several substantive domains as sensory profiling, marketing research or personality assessment. Latent class probabilistic latent feature models (LCPLFMs) may be used to explain binary object-attribute associat...
Article
Full-text available
Background When suffering from chronic pain, attempts to control or avoid pain often compete with other daily activities. Engaging in one activity excludes engaging in another, equally valued activity, which is referred to as “goal conflict.” As yet, the presence and effects of goal conflicts in patients with chronic pain remain poorly understood....
Data
Overview of the complete PAM-I-Study including questionnaires.
Data
Overview of the original Dutch and translated English study questionnaires.
Article
In this paper a new method is developed for automatically detecting outliers or faults in the solar energy production of identical sets (sister arrays) of photovoltaic (PV) solar panels. The method involves a two-stage unsupervised approach. In the first stage, “in control” energy production data are created by using outlier detection methods and f...
Article
Full-text available
Research has suggested that sighs may serve a regulatory function during stress and emotions by facilitating relief. Evidence supports the hypotheses that sighs both express and induce relief from stress. To explore the potential role of sighs in the regulation of symptoms, the present study aimed to investigate the relationship between sighs and r...
Article
Evidence suggests that sighs regulate stress and emotions, e.g. by facilitating relief. This study aimed to investigate sigh rates during relief. In addition, links between sighs, anxiety sensitivity and HPA-axis activity were explored. Healthy volunteers (N=29) were presented cues predicting the valence of subsequent stimuli. By sequencing cues th...
Article
Background: Generalization of fear of movement-related pain across novel but similar movements can lead to fear responses to movements that are actually not associated with pain. The peak-shift effect describes a phenomenon whereby particular novel movements elicit even greater fear responses than the original pain-provoking movement (CS+), becaus...
Article
Fear learning deficiencies might contribute to the development and maintenance of chronic pain disability. Fear is often not restricted to movements (conditioned stimulus [CS+]) originally associated with pain (unconditioned stimulus), but expands to similar movements (generalization stimuli [GSs]). This spreading of fear becomes dysfunctional when...
Article
Full-text available
In this paper we analyze the relative effectiveness of the moment of contact (touch point) between a brand and an individual consumer. The concept of effectiveness is made operational through the use of both attitude (cognitive, emotional and conative) and awareness measures (recall and recognition). The main research uses a 4x4 Latin square confou...
Article
The present study examined whether pain catastrophizing and pain-related fear predict the experience of pain in body regions that are not targeted by an experimental muscle injury protocol. A delayed-onset muscle soreness (DOMS)-protocol was used to induce pain unilaterally in the pectoralis, serratus, trapezius, latisimus dorsi, and deltoid muscle...
Article
Unlabelled: Recent experimental data show that associative learning processes are involved not only in the acquisition but also in the spreading of pain-related fear. Clinical studies suggest involvement of positive affect in resilience against chronic pain. Surprisingly, the role of positive affect in associative learning in general, and in fear...
Article
Full-text available
Rationale, aims and objectivesWhat factors determine the use of an anaesthesia preparation room and shorten non-operative time?MethodsA logistic regression is applied to 18 751 surgery records from AZ Sint-Jan Brugge AV, Belgium, where each operating room has its own anaesthesia preparation room. Surgeries, in which the patient's induction has alre...
Article
Unlabelled: From a treatment perspective, it is highly relevant to pinpoint individual vulnerability factors for resistance to exposure treatment in highly fearful chronic pain patients. Previous fear conditioning research showed that healthy individuals scoring relatively high on trait anxiety display sustained fear to safety cues during extincti...
Article
Probabilistic feature models (PFMs) can be used to explain binary rater judgements about the associations between two types of elements (e.g., objects and attributes) on the basis of binary latent features. In particular, to explain observed object-attribute associations PFMs assume that respondents classify both objects and attributes with respect...
Article
Full-text available
A common strategy for the analysis of object-attribute associations is to derive a low-dimensional spatial representation of objects and attributes which involves a compensatory model (e.g., principal components analysis) to explain the strength of object-attribute associations. As an alternative, probabilistic latent feature models assume that obj...
Article
Full-text available
We provide a contingent valuation of a major cycling event, namely the Tour of Flanders. Starting from survey data, we estimate several models with different assumptions about (1) the latent willingness to pay (WTP) distribution and (2) the change in WTP when responding to the follow-up question in a double-bounded dichotomous framework. We relate...
Conference Paper
Using a basic latent class model for the analysis of three-way three- mode data (i.e. raters by objects by attributes) to cluster raters is often problematic because the number of conditional probabilities increases rapidly when extra latent classes are added. To solve this problem, Meulders et al. (J Classification 19:277–302, 2002) proposed a con...
Article
National pride in 22 countries, reported in probability surveys of the International Social Survey Programme of 1995 on national identity is shown to be based on four sources of national pride: internal care (IC), nowadays and past achievements (NA and PA), and external power (EP). The proportion of repondents who are proud of these basic sources d...
Article
Full-text available
Differential item functioning (DIF) occurs when persons with equal ability who belong to different groups have a different probability to correctly solve an item of a certain test. As the occurrence of DIF is considered a serious problem when using tests for personnel selection, many procedures have been developed for detecting DIF. However, models...
Article
According to the hypothesis of configural encoding, the spatial relationships between the parts of the face function as an additional source of information in the facial perception of emotions. The paper analyses experimental data on the perception of emotion to investigate whether there is evidence for configural encoding in the processing of faci...
Article
A general framework is presented for the analysis of partially ordered set (poset) data. The work is motivated by the need to analyse poset data such as multi-componential responses in psychological measurement and partially accomplished cognitive tasks in educational measurement. It is shown how the generalized loglinear model can be used to repre...
Article
In problems with missing or latent data, a standard approach is to first impute the unobserved data, then perform all statistical analyses on the completed dataset--corresponding to the observed data and imputed unobserved data--using standard procedures for complete-data inference. Here, we extend this approach to model checking by demonstrating t...
Article
Mixed models take the dependency between observations based on the same person into account by introducing one or more random effects. After introducing the mixed model framework, it is explained, by taking the Rasch model as a generic example, how item response models can be conceptualized as generalized linear and nonlinear mixed models. Common e...
Article
Full-text available
Two studies examined the effect of status and liking of the anger target on anger behavior and individual differences in anger-related behavior. Participants recalled anger instances in which the anger target was of higher/equal/lower status and/or liked/ unfamiliar/disliked; subsequently, they indicated which behaviors they had displayed. In both...
Article
Full-text available
Psychological tests often involve item clusters that are designed to solicit responses to behavioral stimuli. The dependency between individual responses within clusters beyond that which can be explained by the underlying trait sometimes reveals structures that are of substantive interest. The paper describes two general classes of models for this...
Chapter
In this chapter we consider the inclusion of person-by-item predictors into the model. Unlike person predictors or item predictors, person-by-item predictors vary both within and between persons. The inclusion of person-by-item predictors besides person predictors or item predictors is relevant for modeling various phenomena such as differential it...
Article
Full-text available
In IRT models, responses are explained on the basis of person and item effects. Person effects are usually defined as a random sample from a population distribution. Regular IRT models therefore can be formulated as multilevel models, including a within-person part and a between-person part. In a similar way, the effects of the items can be studied...
Article
Full-text available
A taxonomy of latent structure assumptions (LSAs) for probability matrix decomposition (PMD) models is proposed which includes the original PMD model (Maris, De Boeck, & Van Mechelen, 1996) as well as a three-way extension of the multiple classification latent class model (Maris, 1999). It is shown that PMD models involving different LSAs are actua...
Conference Paper
Full-text available
Since the 1960's many authors accepted the triple constraints (time, cost, specification) as a standard measure of success and this still appears to be extremely important in evaluating the success of ICT projects. However, a project cannot always be seen as a complete success or a complete failure. Moreover, the parties involved may perceive the t...
Article
Full-text available
A taxonomy of latent structure assumptions (LSAs) for probability matrix decomposition (PMD) models is proposed which includes the original PMD model (Maxis, De Boeck, & Van Mechelen, 1996) as well as a three-way extension of the multiple classification latent class model (Marls, 1999). It is shown that PMD models involving different LSAs axe actua...
Conference Paper
Full-text available
Since the 1960's many authors accepted the triple constraints (time, cost, specification) as a standard measure of success and this still appears to be extremely important in evaluating the success of ICT projects. However, a project cannot always be seen as a complete success or a complete failure. Moreover, the parties involved may perceive the t...
Article
Full-text available
The latent class model for two-way two-mode data can easily be extended to the case of three-way three-mode data as a tool to cluster the elements of one mode on the basis of two other modes simultaneously. However, as the number of manifest variables is typically very large in this type of analysis, the number of conditional probabilities rapidly...
Chapter
The present paper investigates to what extent several expansions of probability matrix decomposition models may be used to capture qualitative differences between raters. The models are applied to a specific data set about raters who indicate whether they would display hostile responses in frustrating situations.
Article
Full-text available
Probability Matrix Decomposition models may be used to model observed binary associations between two sets of elements. More specifically, to explain observed associations between two elements, it is assumed that B latent Bernoulli variables are realized for each element and that these variables are subsequently mapped into an observed data point a...
Article
The present paper deals with main-e&ects models for the analysis of two-way two-mode frequency data that are obtained by summing replicated binary associations over replications. Main-e&ects gener- alized linear models (GLM) which explain the transformed expected frequencies as an additive function of row- and column parameters, include many models...
Article
Full-text available
Keywords: hierarchical IRT, criterion-referenced measurement, standard setting, Gibbs sampler, posterior predictive checks A hierarchical IRT model is proposed for mastery classification in criterion-referenced measurement. In this model, items measuring the same criterion are grouped, and a difficulty and discrimination parameter of the criterion...
Article
Probability matrix decomposition (PMD) models can be used to explain observed associationsbetween two sets of elements. More specifically, observed associations are modeled asa deterministic function of B latent Bernoulli variables that are realized for each element. Toestimate the parameters of this model, a sample of the posterior distribution is...
Article
Full-text available
A general framework is presented for the analysis of partially ordered set (poset) data. Such data arise for instance in educational measurement when responses can be considered to be partially correct or in componential analysis when responses are based on answers to multiple component-items. It is shown how the generalized loglinear model (Cox, 1...

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Projects (2)
Project
Choice Experiments are a powerful tool to predict future market demand or to assess the impact of public and private interventions to steer choice behavior ex ante and at a low cost. However, there are important challenges to improve preference assessments based on CEs (e.g. hypothetical bias, the use of heuristics, the improvement of experimental and survey design). Now, different researchers are solving these challenges ad hoc with only limited exchange of the insights gained. This consortium, by gathering all Belgian universities that are structurally using CEs for their research and selected partners, mitigates the lack of an overarching view in the Belgian CE research arena. Moreover, it does so in a way that not only a multi-disciplinary view is taken, it also ensures complementarity in expertise regarding the phases in CEs based research while having a mix between researchers interested in the development of new statistical tools, the development of new behavioral insights, and the provision of policy recommendations.