The Ethnic Adornment Survey (EAS): Measuring Individuals’ Use of Clothing to Express Ethnic Identity

The present paper introduces the Ethnic Adornment Survey as a measure of the relative frequency with which individuals use clothing to express their ethnic identity. Results of exploratory factor analyses in a pilot study (n = 174) and confirmatory factor analyses in a main study (n = 217) revealed that the Ethnic Adornment Survey measures two positively correlated, yet distinct, ethnic adornment factors (i.e., socially desirable and undesirable aspects). Moreover, results of regression analyses indicated that (1) self-esteem was positively predicted by socially desirable aspects of ethnic adornment (p’s < .05 in both studies); whereas (2) self-esteem was negatively predicted by socially undesirable aspects of ethnic adornment (p’s < .05 in the pilot study and < .10 in the main study). Implications for research on ethnic identity are discussed.     

Brief report: How many dimensions in the prosocial behavior scale? Psychometric investigation in French-speaking adolescents

The purpose of the study was to evaluate the factor structure and the reliability of the Prosocial Behavior Scale (PBS). To our knowledge, no factorial validity of the multifactorial structure of PBS has been published to date. The psychometric characteristics of the PBS were examined in several samples of French adolescents (aged 11–19, N1 = 1141, N2 = 1071, and N3 = 1640) using Confirmatory factor analyses (CFA). The original four-factor structure was not confirmed due to lack of discriminant validity. CFA led us to retain a two-factor solution with a good fit and a satisfactory reliability. Furthermore, the results support the convergent validity of the PBS: helping and caring dimensions were positively correlated with empathy. In addition, partial measurement invariance across gender and grade was attested. In conclusion, the results indicate that the French version of the PBS is a useful instrument for the assessment of prosocial behaviors in adolescence.     

The assessment of autistic traits with the Autism Spectrum Quotient: Contribution of the French version to its construct validity

IntroductionThe Autism Spectrum Questionnaire (AQ, Baron-Cohen et al., 2001) is a self-report assessment tool aiming at screening autistic traits in normal intelligence adults. While numerous versions in other languages than English now exist, few factorial evidence do sustain the valid use of this instrument as it was conceived, based upon five distinct dimensions (Social skills, Communication, Attention to detail, Attention switching, Imagination); no such study exists with a French version of the AQ. The aim of our study is therefore to present the French version of the scale and to explore its factorial validity with confirmatory factorial analyses and, possibly, its invariance across men and women.MethodSeveral confirmatory factorial analyses, with the robust WLSMV estimator for categorical response format, were run on the questionnaire data from 788 French-speaking students (17–25 years old) at university faculties or schools for higher education in Belgium. The original five-factor measurement model of the AQ was assessed as well as alternative models. An exploratory factorial analysis was also applied to get more insight as to possible sources of misfit.ResultsNo measurement model – neither the original five-factor one nor any of the six other models tested – did produce statistics or fit indices close to significant values: there was no fit to the data. The internal consistency of the subscales was weak; the exploratory factorial analysis further confirmed that as much as ten factors were needed to explain 45% of the data variance.ConclusionOur results, with a French version of the scale, add to many other ones which suggest that the AQ is a too heterogeneous questionnaire with somewhat ill-defined dimensions and non specific/ambiguous items. The questionnaire should probably be shortened and its content realigned to core features of the autism spectrum.     

Transcultural validation and reliability of the Spanish version of the behaviour of young novice drivers scale (BYNDS) in a Colombian young driver population

The overrepresentation of young drivers in road crashes, and the fatalities and injuries arising from those crashes, is an intractable problem around the world. A plethora of research has led to the development and application of a range of research tools, including self-report survey instruments. One such instrument, the five-factor Behaviour of Young Novice Driver Scale (BYNDS), was developed in an Australian young driver population, and has recently been validated in a New Zealand young driver population. The current study aimed to validate the BYNDS in a Colombian young driver population, the first application of the instrument in a developing country. Translation from English to Spanish, and back translation from Spanish to English, in addition to culturally-appropriate modifications (such as changing ‘right hand side’ to ‘left hand side’) resulted in a Spanish version of the BYNDS (BYNDS-Sp). The BYNDS-Sp was administered to a sample of 392 young drivers aged 16–24 years (n = 353 aged 19–24 years) with a valid driver’s licence. An exploratory factor analysis revealed a six factor structure using 40 of the original 44 BYNDS-Sp items, accounting for 58.5% of the variance in self-reported risky driving behaviour. Ninety-three percent of participants reported having ready access to their own vehicle (42% owned their own vehicle), with Colombian young drivers most likely to report driving at night and on the weekend. The majority of participants reported driving in excess of posted speed limits (e.g., only one third of participants reported never driving 10–20 km/h over the speed limit), and driving in response to their mood (e.g., only one third of participants reported they never drove faster if in a bad mood). As such, the BYNDS-Sp can reveal patterns of problematic behaviours (such as risky driving exposure), in addition to specific behaviours of concern (such as carrying passengers at night, and driving when tired), guiding the development and implementation of interventions targeting the risky driving behaviour of young drivers in Colombia. In addition, the BYNDS-Sp can be used as a measure of intervention success if used as a baseline and as a follow-up tool. Further research can investigate the utility and applicability of the BYNDS-Sp in other Spanish-speaking countries, such as Spain and Mexico.     

Validation of a reflective thinking instrument for third-year undergraduate nursing students participating in high-fidelity simulation

Background: nursing students are required to think reflectively in both real and simulated clinical practice. Although the Reflective Thinking instrument is reliable in its measurement of reflective thinking, its validity is unknown. Method: confirmatory factor analysis was undertaken in an iterative manner within a non-equivalent control-group study to measure nursing students’ reflective thinking and satisfaction with high-fidelity simulation. The validity and reliability of the Reflective Thinking instrument was tested. Results: the resulting instrument consisted of 15 items across four factors. The final model was plausible as it demonstrated ‘goodness of fit’; however, it had neither convergent or discriminatory validity, nor reliability. Internal consistency was fair to reasonable for the four subscales. Conclusion: the testing of the Reflective Thinking instrument using confirmatory factor analysis is a vital initial step in the modification of this instrument. Further development using exploratory factor analysis will enhance the instrument’s relevance within high-fidelity simulation.     

Iteration of Partially Specified Target Matrices: Application to the Bi-Factor Case

The current study proposes a new bi-factor rotation method, Schmid-Leiman with iterative target rotation (SLi), based on the iteration of partially specified target matrices and an initial target constructed from a Schmid-Leiman (SL) orthogonalization. SLi was expected to ameliorate some of the limitations of the previously presented SL bi-factor rotations, SL and SL with target rotation (SLt), when the factor structure either includes cross-loadings, near-zero loadings, or both. A Monte Carlo simulation was carried out to test the performance of SLi, SL, SLt, and the two analytic bi-factor rotations, bi-quartimin and bi-geomin. The results revealed that SLi accurately recovered the bi-factor structures across the majority of the conditions, and generally outperformed the other rotation methods. SLi provided the biggest improvements over SL and SLt when the bi-factor structures contained cross-loadings and pure indicators of the general factor. Additionally, SLi was superior to bi-quartimin and bi-geomin, which performed inconsistently across the types of factor structures evaluated. No method produced a good recovery of the bi-factor structures when small samples (N = 200) were combined with low factor loadings (0.30–0.50) in the specific factors. Thus, it is recommended that larger samples of at least 500 observations be obtained.     

Autistic Heterogeneity: Linking Uncertainties and Indeterminacies

Autism is a highly uncertain entity and little is said about it with any degree of certainty. Scientists must, and do, work through these uncertainties in the course of their work. Scientists explain uncertainty in autism research through discussion of epistemological uncertainties which suggest that diverse methods and techniques make results hard to reconcile, ontological uncertainties which suggest doubt over taxonomic coherence, but also through reference to autism’s indeterminacy which suggests that the condition is inherently heterogeneous. Indeed, indeterminacy takes two forms—an inter-personal form which suggests that there are fundamental differences between individuals with autism and an intra-personal form which suggests that no one factor is able to explain all features of autism within a given individual. What is apparent in the case of autism is that scientists put uncertainty and indeterminacy into discussion with one another and, rather than a well-policed epistemic-ontic boundary, there is a movement between, and an entwinement of, the two. Understanding scientists’ dialogue concerning uncertainty and indeterminacy is of importance for understanding autism and autistic heterogeneity but also for understanding uncertainty and ‘uncertainty work’ within science more generally.     

Old Wine in New Bottles? The Case of Self‐compassion and Neuroticism

Research on self‐compassion, which is defined as being understanding and kind to oneself when confronted with negative experiences, has produced an impressive number of articles in recent years. This research shows that individual differences in self‐compassion, as measured by the Self‐Compassion Scale (SCS), are positively related to life satisfaction, health and social functioning. However, a critical and systematic test of self‐compassion from a personality perspective has not yet conducted so far. In the present study (N = 576), we (i) tested the factor structure of the SCS, (ii) examined the distinctiveness of self‐compassion with regard to the five‐factor model of personality, focusing on neuroticism, and (iii) tested the incremental predictive power of self‐compassion beyond the five‐factor model in the context of life satisfaction. Confirmatory factor analyses supported a two‐factor plus six facets solution of self‐compassion (a positive factor and a negative factor). Additional analyses revealed that the negative factor was redundant with facets of neuroticism (rs ≥ .85), whereas the positive factor had some unique variance left. However, neither the negative factor nor the positive factor could explain substantial incremental variance in life satisfaction beyond neuroticism. Recommendations for how to use the SCS are provided, and the future of research on self‐compassion is discussed. Copyright © 2017 European Association of Personality Psychology     

Personality Traits Predict Smartphone Usage

The present study investigates to what degree individual differences can predict frequency and duration of actual behaviour, manifested in mobile application (app) usage on smartphones. In particular, this work focuses on the identification of stable associations between personality on the factor and facet level, fluid intelligence, demography and app usage in 16 distinct categories. A total of 137 subjects (87 women and 50 men), with an average age of 24 (SD = 4.72), participated in a 90‐min psychometric lab session as well as in a subsequent 60‐day data logging study in the field. Our data suggest that personality traits predict mobile application usage in several specific categories such as communication, photography, gaming, transportation and entertainment. Extraversion, conscientiousness and agreeableness are better predictors of mobile application usage than basic demographic variables in several distinct categories. Furthermore, predictive performance is slightly higher for single factor—in comparison with facet‐level personality scores. Fluid intelligence and demographics additionally show stable associations with categorical app usage. In sum, this study demonstrates how individual differences can be effectively related to actual behaviour and how this can assist in understanding the behavioural underpinnings of personality. Copyright © 2017 European Association of Personality Psychology