Hidden Markov Item Response Theory Models for Responses and Response Times

Current approaches to model responses and response times to psychometric tests solely focus on between-subject differences in speed and ability. Within subjects, speed and ability are assumed to be constants. Violations of this assumption are generally absorbed in the residual of the model. As a result, within-subject departures from the between-subject speed and ability level remain undetected. These departures may be of interest to the researcher as they reflect differences in the response processes adopted on the items of a test. In this article, we propose a dynamic approach for responses and response times based on hidden Markov modeling to account for within-subject differences in responses and response times. A simulation study is conducted to demonstrate acceptable parameter recovery and acceptable performance of various fit indices in distinguishing between different models. In addition, both a confirmatory and an exploratory application are presented to demonstrate the practical value of the modeling approach.     

Parental Personality,Relationship Stress,and Child Development: A Stress Generation Perspective

This study aimed to investigate associations among the parental personality dimensions of self‐criticism and dependency, parental relationship stress, and child development from a stress generation perspective. Data from 79 first‐time parents and their children aged 8–13 months, who were followed up in a two‐wave, 1‐year longitudinal study, were analysed within a multilevel structural equation modelling framework in order to account for within‐couple interdependence. Results revealed that, as hypothesised, both parental self‐criticism and dependency were associated with increased levels of relationship stress, which in turn were negatively related to child development. Hence, parental personality features in combination with relationship stress may be an important target in couple and family‐based interventions. Implications for further research on family dynamics and interventions are discussed. Copyright © 2015 John Wiley & Sons, Ltd.     

Predicting Intense Levels of Child Anxiety During Anesthesia Induction at Hospital Arrival

In children, intense levels of anxiety during anesthetic induction are associated with a higher risk of pain, poor recovery, and emergence delirium. Therefore, it is important to identify these high-risk children at hospital arrival. The current study examined internalizing behavior (Child Behavior Checklist, CBCL) and state anxiety measures (modified Yale Preoperative Anxiety Scale, mYPAS, and State Trait Anxiety Inventory for Children, STAIC) at hospital arrival as predictors of anxiety during induction of anesthesia. One hundred children (aged 4 to 12 years) undergoing elective daycare surgery were included. The STAIC and mYPAS at hospital arrival were significant predictors of anxiety during induction, whereas CBCL was not. The STAIC state form at hospital arrival was the strongest predictor and could be used to identify children who will experience intense levels of anxiety during anesthetic induction, with sufficient to good diagnostic accuracy. Using the STAIC at hospital arrival allows targeted interventions to reduce anxiety in children.

     

A semi-parametric within-subject mixture approach to the analyses of responses and response times

In item response theory, modelling the item response times in addition to the item responses may improve the detection of possible between- and within-subject differences in the process that resulted in the responses. For instance, if respondents rely on rapid guessing on some items but not on all, the joint distribution of the responses and response times will be a multivariate within-subject mixture distribution. Suitable parametric methods to detect these within-subject differences have been proposed. In these approaches, a distribution needs to be assumed for the within-class response times. In this paper, it is demonstrated that these parametric within-subject approaches may produce false positives and biased parameter estimates if the assumption concerning the response time distribution is violated. A semi-parametric approach is proposed which resorts to categorized response times. This approach is shown to hardly produce false positives and parameter bias. In addition, the semi-parametric approach results in approximately the same power as the parametric approach.     

Mind the Gap

Journal of Philosophical Logic - In debates about the metaphysics of material objects examples of colocated objects are commonly taken to be examples of coincidence too. But the argument that...     

Latent class models for testing monotonicity and invariant item ordering for polytomous items

Two assumptions that are relevant to many applications using item response theory are the assumptions of monotonicity (M) and invariant item ordering (IIO). A latent class model is proposed for ordinal items with inequality constraints on the class-specific item means. This model is used as a tool for testing for violations of M and IIO. A Gibbs sampling scheme is used for estimating the model parameters. It is shown that the deviance information criterion can be used as an overall test of M and IIO, while posterior predictive checks can be used to test these assumptions at the item level. A real data application illustrates a model-fitting strategy for detecting items that violate M and IIO.     

The development of verbal and visual working memory processes: a latent variable approach

Working memory (WM) processing in children has been studied with different approaches, focusing on either the organizational structure of WM processing during development (factor analytic) or the influence of different task conditions on WM processing (experimental). The current study combined both approaches, aiming to distinguish verbal and visual processing in order to investigate WM development. We investigated recall performance under different task conditions in a sample of 5- to 13-year-olds, applying latent class regression analysis. In this analysis, we examined latent classes (subgroups) within the sample that differed in terms of processing type. The interpretations of the latent classes were validated internally using characteristics of the latent classes and externally using recall performance of words and figures. The results showed that children of different developmental stages used the same type of processing under the same conditions. However, due to developmental differences, their overall performances differed, showing groups of children who were successful in verbal or visual processing and groups of children who were not. This study shows and discusses the importance of disentangling the influence of task conditions from the influence of WM development when interpreting recall performance in children.     

We are human,they are not: Driving forces behind outgroup dehumanisation and the humanisation of the ingroup

Mostly invigorated by infrahumanisation theory, our knowledge on processes of dehumanisation in intergroup relations has grown considerably in the last decade. Building on these earlier endeavours, the present chapter reviews some recent empirical extensions that highlight the importance of differentiating between ingroup humanisation and outgroup dehumanisation because they are often moderated by specific variables. The role of these separate processes is discussed as a function of the main structural elements that define intergroup behaviour; that is, the defining boundaries of the groups, the relation between the groups at hand, and the ideologies of its members. Finally, the role of the different senses of humanness is discussed, suggesting that the folk conception of humanness differs between cultures.     

The Relationship Between Personality,Burnout, and Engagement Among the Indian Clergy

This study examined the relationship between the Big Five personality dimensions, burnout, and engagement among 511 Indian Catholic diocesan priests. We expected that Neuroticism would be positively associated with burnout and negatively associated with engagement. Moreover, we expected Extraversion, Openness, Agreeableness, and Conscientiousness to be negatively associated with burnout and positively associated with engagement. Hierarchical regression analyses largely confirmed these expectations. Results are discussed in the context of the broader literature on burnout and engagement, as well as the literature on priesthood.     

Being angry for different reasons: the role of personality in distributive justice

The present research examines personality predictors of anger in response to unfavorable and favorable outcomes with regard to violations of the distributive justice principle of equality. Two studies showed that feelings of anger in response to equality violations were related to neuroticism and agreeableness, albeit for different reasons. Depending on whether the equality violation was favorable or not, anger could be predicted by either feelings of threat or guilt for neuroticism and perceptions of responsibility for agreeableness. These findings add to the literature on boundary conditions of justice and reveal how core personality dimensions contribute to emotional reactions in distributively unjust situations, even if the outcome is personally favorable.