Categorisation salience and ingroup bias: The buffering role of a multicultural ideology

The current work sought to test the moderating role of a multicultural ideology on the relationship between categorisation salience and ingroup bias. Accordingly, in one experimental study, we manipulated categorisation salience and the accessibility of a multicultural ideology, and measured intergroup attitudes. Results show that categorisation salience only leads to ingroup bias when a multiculturalism (MC) ideology is not made salient. Thus, MC ideology attenuates the negative effects of categorisation salience on ingroup bias. These results pertain to social psychology in general showing that the cognitive processes should be construed within the framework of ideological contexts.     

Estimation of the predictive power of the model in mixed‐effects meta‐regression: A simulation study

Several methods are available to estimate the total and residual amount of heterogeneity in meta‐analysis, leading to different alternatives when estimating the predictive power in mixed‐effects meta‐regression models using the formula proposed by Raudenbush (1994, 2009). In this paper, a simulation study was conducted to compare the performance of seven estimators of these parameters under various realistic scenarios in psychology and related fields. Our results suggest that the number of studies (k) exerts the most important influence on the accuracy of the results, and that precise estimates of the heterogeneity variances and the model predictive power can only be expected with at least 20 and 40 studies, respectively. Increases in the average within‐study sample size () also improved the results for all estimators. Some differences among the accuracy of the estimators were observed, especially under adverse (small k and ) conditions, while the results for the different methods tended to convergence for more optimal scenarios.     

The mediating role of feelings of guilt in the relationship between burnout and the consumption of tobacco and alcohol

Earlier studies have shown that feelings of guilt appear to be involved in the burnout process. However, the exact nature of the relationship between burnout, feelings of guilt, and tobacco and alcohol use is unclear. The purpose of this study was to analyze the role of feelings of guilt in the relationship between burnout and the consumption of tobacco and alcohol. Role conflict, Role clarity, and Feedback were included as predictors of burnout. The sample of this cross‐sectional study consisted of 260 Chilean administration and customer service workers. Hypotheses were tested using a path model. The hypothesized model (i.e., Indolence to guilt to tobacco/alcohol use) showed an adequate data fit, including a mediator role of feelings of guilt in the relationship between burnout and alcohol use. The results of this study recommending taking into consideration the evaluation of feelings of guilt as a symptom of burnout in order to develop a more reliable diagnosis of burnout syndrome and its consequences.     

School System Evaluation by Value Added Analysis Under Endogeneity

Value added is a common tool in educational research on effectiveness. It is often modeled as a (prediction of a) random effect in a specific hierarchical linear model. This paper shows that this modeling strategy is not valid when endogeneity is present. Endogeneity stems, for instance, from a correlation between the random effect in the hierarchical model and some of its covariates. This paper shows that this phenomenon is far from exceptional and can even be a generic problem when the covariates contain the prior score attainments, a typical situation in value added modeling. Starting from a general, model-free definition of value added, the paper derives an explicit expression of the value added in an endogeneous hierarchical linear Gaussian model. Inference on value added is proposed using an instrumental variable approach. The impact of endogeneity on the value added and the estimated value added is calculated accurately. This is also illustrated on a large data set of individual scores of about 200,000 students in Chile.     

The Medieval Octagon of Opposition for Sentences with Quantified Predicates

The traditional Square of Opposition consists of four sentence types. Two are universal and two particular; two are affirmative and two negative. Examples, where ‘S’ and ‘P’ designate the subject and the predicate, are: ‘every S is P’, ‘no S is P’, ‘some S is P’ and ‘some S is not P’. Taking the usual sentences of the square of opposition, quantifying over their predicates exhibits non-standard sentence forms. These sentences may be combined into non-standard Squares of Opposition (an Octagon in this case), and they reveal a new relationship not found in the usual Square. Medieval logicians termed ‘disparatae’ pairs of sentences like ‘every S is some P’ and ‘some S is every P’, which are neither subaltern nor contrary, neither contradictory nor subcontrary. Walter Redmond has designed a special language L to express the logical form of these sentences in a precise way. I will use this language to show how Squares of Opposition, standard and non-standard, form a complex network of relations which bring to light the subtleties contained in this traditional doctrine.     

Acceptability of virtual reality interoceptive exposure for the treatment of panic disorder with agoraphobia

Interoceptive exposure (IE) is a standard component of cognitive-behavioural therapy (CBT) for panic disorder and agoraphobia. The virtual reality (VR) program ‘Panic-Agoraphobia’ has several virtual scenarios designed for applying exposure to agoraphobic situations; it can also simulate physical sensations. This work examines patients' acceptability of the IE component as applied in two different ways: using VR versus traditional IE. Additionally, it explores the relationship between users' treatment expectations and satisfaction and clinically significant change. Results showed that VR and traditional IE were well accepted by all participants. Furthermore, treatment expectations predicted efficacy.     

Effects of the psycholinguistic variables on the lexical decision task in Spanish: A study with 2,765 words

In order to explore the role of the main psycholinguistic variables on visual word recognition, several mega-studies have been conducted in English in recent years. Nevertheless, because the effects of these variables depend on the regularity of the orthographic system, studies must also be done in other languages with different characteristics. The goal of this work was to conduct a lexical decision study in Spanish, a language with a shallow orthography and a high number of words. The influence of psycholinguistic variables on latencies corresponding to 2,765 words was assessed by means of linear mixed-effects modeling. The results show that some variables, such as frequency or age of acquisition, have significant effects on reaction times regardless of the type of words used. Other variables, such as orthographic neighborhood or imageability, were significant only in specific groups of words. Our results highlight the importance of taking into account the peculiarities of each spelling system in the development of reading models.