Psychometric properties of the Five Facets Mindfulness Questionnaire (FFMQ) in a meditating and a non-meditating sample

The factor structure, internal consistency, construct validity, and predictive validity of the Dutch version of the Five Facet Mindfulness Questionnaire (FFMQ-NL) were studied in a sample of meditators (n = 288) and nonmeditators (n = 451). A five-factor structure was demonstrated in both samples, and the FFMQ-NL and its subscales were shown to have good internal consistencies. Meditators scored higher on all facets of the FFMQ-NL than the participants in the nonmeditating sample. For both samples, expected negative correlations between most mindfulness facets (all except for the Observing facet) and the constructs of alexithymia, thought suppression, rumination, worry, and dissociation were found. The Observing facet of the FFMQ-NL showed an unexpected positive correlation with thought suppression in the nonmeditating sample. Furthermore, as expected, mindfulness facets were negatively related to psychological symptoms, and all mindfulness facets except for Observing and Describing significantly predicted psychological symptoms. Overall, the Dutch FFMQ demonstrated favorable psychometric properties, commensurate with its (original) English language version.     

A mixed model approach to meta-analysis of diagnostic studies with binary test outcome

We propose 2 related models for the meta-analysis of diagnostic tests. Both models are based on the bivariate normal distribution for transformed sensitivities and false-positive rates. Instead of using the logit as a transformation for these proportions, we employ the tα family of transformations that contains the log, logit, and (approximately) the complementary log. A likelihood ratio test for the cutoff value problem is developed, and summary receiver operating characteristic (SROC) curves are discussed. Worked examples showcase the methodology. We compare the models to the hierarchical SROC model, which in contrast employs a logit transformation. Data from various meta-analyses are reanalyzed, and the reanalysis indicates a better performance of the models based on the tα transformation. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

The influence of control and related variables on commuting stress

Existing research on commuting stress has shown that it is affected by variables such as control, predictability, the duration of the commute and impedance. The present study investigates the impact of several factors on the stress that commuters experience and clarifies possible relations between variables. For the purpose of this study, an online questionnaire was completed by 363 commuters of the Vienna region. The relative strength of the relationship between predictors and commuting stress was determined by multiple regression analysis. Results suggest that control is the most powerful predictor of commuting stress, followed by the duration of the commute, predictability and impedance. Control significantly interacts with the duration of the commute and predictability. Based on these findings a research model is proposed, clearly depicting the moderating impact of the duration of the commute and incorporating a clear distinction between predictability and control.     

Associative memory or algorithmic search: a comparative study on learning strategies of bats and shrews

Two common strategies for successful foraging are learning to associate specific sensory cues with patches of prey ("associative learning") and using set decision-making rules to systematically scan for prey ("algorithmic search"). We investigated whether an animal's life history affects which of these two foraging strategies it is likely to use. Natterer's bats (Myotis nattereri) have slow life-history traits and we predicted they would be more likely to use associative learning. Common shrews (Sorex araneus) have fast life-history traits and we predicted that they would rely more heavily on routine-based search. Apart from their marked differences in life-history traits, these two mammals are similar in body size, brain weight, habitat, and diet. We assessed foraging strategy, associative learning ability, and retention time with a four-arm maze; one arm contained a food reward and was marked with four sensory stimuli. Bats and shrews differed significantly in their foraging strategies. Most bats learned to associate the sensory stimuli with the reward and remembered this association over time. Most shrews searched the maze using consistent decision-making rules, but did not learn or remember the association. We discuss these results in terms of life-history traits and other key differences between these species. Our results suggest a link between an animal's life-history strategy and its use of associative learning.     

Psychometric properties and concurrent validity of two exercise addiction measures: A population wide study

ObjectivesThe existence of exercise addiction has been examined in numerous studies. However, none of the measures developed for exercise addiction assessment have been validated on representative samples. Furthermore, estimates of exercise addiction prevalence in the general population are not available. The objective of the present study was to validate the Exercise Addiction Inventory (EAI; Terry, Szabo, & Griffiths, 2004), and the Exercise Dependence Scale (EDS; Hausenblas & Downs, 2002b), and to estimate the prevalence of exercise addiction in general population.DesignExercise addiction was assessed within the framework of the National Survey on Addiction Problems in Hungary (NSAPH), a national representative study for the population aged 18–64 years (N = 2710).Method474 people in the sample (57% males; mean age 33.2 years) who reported to exercise at least once a week were asked to complete the two questionnaires (EAI, EDS).ResultsConfirmatory Factor Analysis (CFA) indicated good fit both in the case of EAI (CFI = 0.971; TLI = 0.952; RMSEA = 0.052) and EDS (CFI = 0.938; TLI = 0.922; RMSEA = 0.049); and confirmed the factor structure of the two scales. The correlation between the two measures was high (r = 0.79). Results showed that 6.2% (EDS) and 10.1% (EAI) of the population were characterized as nondependent-symptomatic exercisers, while the proportion of the at-risk exercisers were 0.3% and 0.5%, respectively.ConclusionsBoth EAI and EDS proved to be a reliable assessment tool for exercise addiction, a phenomenon that is present in the 0.3–0.5% of the adult general population.     

Temporal alethic–deontic logic and semantic tableaux

The purpose of this paper is to describe a set of temporal alethic–deontic systems, i.e. systems that include temporal, alethic and deontic operators. All in all we will consider 2,147,483,648 systems. All systems are described both semantically and proof theoretically. We use a kind of possible world semantics, inspired by the so-called T × W semantics, to characterize our systems semantically and semantic tableaux to characterize them proof theoretically. We also show that all systems are sound and complete with respect to their semantics.     

When any Worx looks typical to you: Global relative to local processing increases prototypicality and liking

Two studies examine novelty categorization theory's (Förster, Marguc & Gillebaart, 2010) assumption that global compared to local processing styles enhance typicality judgments of atypical objects and thereby enhance liking. We used an artificial category of figures for an alleged computer game including a prototype and three exemplars that varied with respect to similarity with it. Results show that when primed with a global processing style, participants find atypical objects more typical, like them better and process them faster than participants under a local processing style. Mediation analyses show that typicality mediates the effects of processing styles on liking, and that ease of categorization mediates the effect of processing styles on prototypicality. Mood, measured via self report did not influence effects. The studies reflect the fact that judged typicality and its effects are context dependent.     

Attachment dynamics in a virtual world

The study investigated the transfer of attachment working models onto autonomous agents in a virtual social environment (VSE). Participants from a community sample (N = 422; mean age = 29 years; mean relationship duration = 4.8 years) encountered three attachment‐related key scenes in a VSE: a separation with a subsequent reunion, a conflict, and an illness. In these scenarios, participants gave instructions to the main character (the “protagonist”), who had a romantic relationship with one of the other agents (the “virtual spouse”). Recorded were numerous behaviors as well as emotions participants ascribed to the protagonist. Generally, participants' attachment styles correlated as predicted with their behavior toward the virtual spouse, with βs up to.42. Thus, the study demonstrates that internal working models are transferred to the virtual relationship. This approach opens new ways to investigate attachment‐related behavior by using VSEs that allow experimental variations of the virtual partner's reactions and other situational variables.