Enhancing Criterion-Related Validity Through Bottom-Up Contextualization of Personality Inventories: The Construction of an Ecological Conscientiousness Scale for Ph.D. Candidates

In this article the concept of “ecological personality scales” is introduced. These are contextualized inventories with a high ecological validity. They are developed in a bottom-up or qualitative way and combine a relatively high trait specificity with a relatively high situational specificity. An ecological Conscientiousness or time management scale for Ph.D. candidates was developed. It significantly predicted Ph.D. performance criteria and showed incremental validity beyond Big Five (Study 1) and narrow trait and frame-of-reference scales (Study 2). These findings suggest that an ecological approach may contribute to further improving the criterion validity of personality measures.     

An In-Depth Look at Dispositional Reasoning and Interviewer Accuracy

Dispositional reasoning is defined as general reasoning about traits, behaviors, and situations. Although earlier accuracy studies found that it predicted interview judgment accuracy, they did not distinguish between its underlying components (i.e., trait induction, trait extrapolation, and trait contextualization). This drawback has hampered insight into the nature of the dispositional reasoning construct. Therefore, we use a componential approach to test if dispositional reasoning adheres to classical criteria for an intelligence. Results from 146 managerial interviewers who observed videotaped interviewees showed that the dispositional reasoning components had positive manifold and predicted interview accuracy. Moreover, they demonstrated discriminant validity with personality and incremental validity over cognitive ability in predicting interview accuracy. Together, findings suggest that dispositional reasoning broadly adheres to the classical criteria for an intelligence.     

Stressors Experienced During Deployment Among Canadian Armed Forces Personnel: Factor Structure of Two Combat Exposure Scales

Combat exposure is linked to increased mental health problems among military personnel. Reliable, precise, and efficient measurement of combat experiences can facilitate understanding of the effects of combat on mental health. This study examined the psychometric properties of 2 scales used to assess deployment experiences in Canadian Armed Forces (CAF) personnel in 2 different settings: during a Third Location Decompression (TLD) program after deployment, and during routine postdeployment screening. Principal components analyses yielded similar results for the 2 measures. The components containing items relevant to Exposure to the Dead and Injured, Dangerous Environment, and Active Combat were common across both surveys. The TLD results revealed a fourth component, Personal Suffering, while the postdeployment screening data revealed a fourth component, Perceived Responsibility. This study found categories of deployment stressors that can be used for further analysis, and underscores the importance of assessing a broad range of exposures in the combat environment.     

Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects

In this article, a nonlinear structural equation model is introduced and a quasi-maximum likelihood method for simultaneous estimation and testing of multiple nonlinear effects is developed. The focus of the new methodology lies on efficiency, robustness, and computational practicability. Monte-Carlo studies indicate that the method is highly efficient and that the likelihood ratio test of nonlinear effects is robust and outperforms alternative testing procedures. The new method is applied to empirical data of middle-aged men, where a latent interaction between physical fitness and flexibility in goal adjustment on complaint level is hypothesized. A model with 5 simultaneous nonlinear effects is analyzed, and the hypothesized interaction is quantified and tested positively against an additive model with quadratic and linear effects.     

A Heterogeneous Growth Curve Model for Nonnormal Data

The heterogeneous growth curve model (HGM; Klein &; Muthén, 2006 Klein, A.G., &; Muthén, B.O. (2006). Modeling heterogeneity of latent growth depending on initial status. Journal of Educational and Behavioral Statistics, 31, 357–375. doi: 10.3102/10769986031004357[Crossref], [Web of Science ®] , [Google Scholar]) is a method for modeling heterogeneity of growth rates with a heteroscedastic residual structure for the slope factor. It has been developed as an extension of a conventional growth curve model and a complementary tool to growth curve mixture models. In this article, a robust version of the heterogeneous growth curve model (HGM-R) is presented that extends the original HGM with a mixture model to allow for an unbiased parameter estimation under the condition of nonnormal data. In two simulation studies, the performance of the method is examined under the condition of nonnormality and a misspecified heteroscedastic residual structure. The results of the simulation studies suggest an unbiased estimation of the heterogeneity by the HGM-R when sample size was large enough and a good approximation of the heteroscedastic residual structure even when the functional form of the heteroscedasticity was misspecified. The practical application of the approach is demonstrated for a data set from HIV-infected patients.     

First and second language in the brain: Neuronal correlates of language processing and spelling strategies

This study explores oscillatory brain activity by means of event-related synchronization and desynchronization (%ERS/ERD) of EEG activity during the use of phonological and orthographic-morphological spelling strategies in L2 (English) and L1 (German) in native German speaking children. EEG was recorded while 33 children worked on a task requiring either phonological or orthographic-morphological spelling strategies. L2 processing elicited more theta %ERS than L1 processing (particularly at bilateral frontal and right posterior parietal sites) which might suggest a stronger involvement of semantic encoding and retrieval of the less familiar L2. The highest level of theta %ERS was revealed for the orthographic-morphological strategy in L2 which might indicate a more intense way of lexical retrieval compared to the phonological strategy in L2 and the orthographic-morphological strategy in L1. Analyses moreover revealed that phonological processing (both in L1 and L2) was associated with comparatively strong left-hemispheric %ERD in the upper alpha frequency band.     

Processing of non-canonical word-order: A case-series on lesion-induced reorganized language and age-effects in typical development

Complex grammatical structures are mastered late in language acquisition. We studied age-effects on performance in object topicalization in 48 typically developing German-speaking participants (aged 8–30 years) and in five patients (children and adolescents) with lesion-induced atypical language representation. Production was tested by a sentence repetition task, comprehension by an acting out task. Three topicalized conditions with differing disambiguation (agreement, case, and case plus agreement) were contrasted with canonical control sentences.     

Later Medieval Metaphysics. Ontology,Language & Logic

WALTER BURLEIGH, Von der Reinheit der Kunst der Logik. Erster Traktat: Von den Eigenschaften der Termini. Übersetzt und mit Einfuhrung und Anmerkungen herausgegeben von Peter Kunze. Lateinisch-deutsch. (Philosophische Bibliothek, Nr. 401 .) Hamburg: Felix Meiner, 1988. xlvii + 269 pp. 64 DM.     

A multitrait–multimethod study of assessment instruments for complex problem solving

Recently published studies on Complex Problem Solving (CPS) suggest that assessments of CPS using multiple complex systems are only moderately related to tests of classical cognitive abilities. Further, CPS assessments show incremental validity beyond tests of other cognitive abilities when predicting relevant outcomes. However, these empirical accounts have relied on single CPS assessment instruments. We do not know whether these findings will generalize to the construct level across different CPS assessment instruments. To answer this question, we tested a sample of N = 339 German university students who completed three CPS assessment instruments based on multiple complex systems (MicroDYN, the Genetics Lab, and MicroFIN) and the matrices subtest of the Intelligence Structure Test as measure of reasoning. Students further reported their school grades. Analyses including latent multitrait–multimethod models provided support for the conceptualization of CPS as a complex cognitive ability. Results indicated that different CPS assessment instruments showed sufficient convergent validity (with a consistency mostly between .50 and .60). In addition, we found evidence for the divergent validity of CPS from reasoning (reasoning predicted two CPS facets, knowledge and control, β_KNOW = .49 and β_CON = .53, respectively). In the prediction of academic achievement, CPS explained variance in natural science grades after we controlled for reasoning (β_CPS = .22), whereas social science grades were not predicted. Our findings suggest that the validity of CPS generalizes across different measurement instruments.