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.     

The Salto Vitale Method in Philosophy

Did G. E. Moore prove the existence of things outside us? Philosophers have objected to his proof, but not for good reasons. Since when, for instance, has absolute certainty been the mark of philosophy? But Moore's proof was superfluous, as its conclusion had already been proved previously. (If immanent critique were the only acceptable way to refute a philosophy rationally, “Nothing exists” would be immune from refutation—which is preposterous.)     

Experimental Power for Indirect Effects in Group-randomized Studies with Group-level Mediators

Mediation analyses have provided a critical platform to assess the validity of theories of action across a wide range of disciplines. Despite widespread interest and development in these analyses, literature guiding the design of mediation studies has been largely unavailable. Like studies focused on the detection of a total or main effect, an important design consideration is the statistical power to detect indirect effects if they exist. Understanding the sensitivity to detect indirect effects is exceptionally important because it directly influences the scale of data collection and ultimately governs the types of evidence group-randomized studies can bring to bear on theories of action. However, unlike studies concerned with the detection of total effects, literature has not established power formulas for detecting multilevel indirect effects in group-randomized designs. In this study, we develop closed-form expressions to estimate the variance of and the power to detect indirect effects in group-randomized studies with a group-level mediator using two-level linear models (i.e., 2-2-1 mediation). The results suggest that when carefully planned, group-randomized designs may frequently be well positioned to detect mediation effects with typical sample sizes. The resulting power formulas are implemented in the R package PowerUpR and the PowerUp!-Mediator software (causalevaluation.org).     

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     

大五人格测验在中国应用的信度概化分析

对过去20年(1994~2013年)间国内有关大五人格测验的研究文献进行信度概化分析。结果表明:(1)检索到的文献中约68.15%存在"信度引入"现象;(2)未加权估计中,A和O的均值最低,N和C的均值最高,国内所得结果均略低于国外(O除外),而后者的变异性略大(E除外);采用α系数效果量方法,在随机效应模型中,N的估计值最高,O和A的估计值最低;(3)回归分析显示,分数均值、量表来源和南北地域差异是N维度信度的预测变量;量表来源、文章专业类型、测验版本和测验记分对E维度信度具有预测作用;样本量、文章专业类型和量表来源是O维度信度的预测变量;量表来源、文章专业类型、项目数和样本类型对A维度信度具有预测作用;量表来源、项目数、文章专业类型和测验记分是C维度信度的预测变量。     

Factor Structure and Discriminative Validity of the Eyberg Child Behavior Inventory With Young Children

This study examined the factor structure and discriminative validity of the Eyberg Child Behavior Inventory (ECBI) with community-based and clinic-referred samples of young children (2–6 years). In the community sample, confirmatory factor analysis indicated a three-factor structure with components reflecting Inattentive, Oppositional Defiant, and Conduct Problem Behavior. In the clinic sample, component scores differentiated children with specific behavior problems from children without significant externalizing symptoms. However, component scores did not differentiate within the externalizing spectrum. The data suggest that ECBI components may be useful to screen community-based and clinic-referred young children for externalizing symptoms, but may be less useful to identify children with specific behavior problems.     

多维视野下的临床决策

临床决策是临床实践的重要组成部分之一,随着时代和科学技术的发展,临床决策的内涵和方法也发生了深刻的变化。有许多的因素影响或决定临床决策的质量,如何正确处理好循证医学证据与经验、传统方法和现代技术、创新与人文主义精神、技术与费用等关系是一个十分复杂的课题,需要从临床、经济、社会和法律等多方面加以研究和探索。