Measuring Six Facets of Curiosity in Germany and the UK: A German-Language Adaptation of the 5DCR and Its Comparability with the English-Language Source Version

The five-dimensional curiosity-scale revised (5DCR) by Kashdan et al. (Citation2020) is the most comprehensive curiosity inventory available to date. 5DCR measures six facets of curiosity with four items each. Here, we present a German-language adaptation of the 5DCR and comprehensively validate this adaptation in a diverse sample of adults from Germany (N = 486). Moreover, we provide new evidence on the original English-language 5DCR in a parallel sample from the UK (N = 483). In both countries, we investigate the six facets' reliability, factorial validity, and convergent and discriminant validity with a large set of individual-differences constructs. In addition, we analyze the measurement invariance of the curiosity facets across the UK and Germany and across socio-demographic subgroups defined by age, sex, and education. Findings demonstrate that the new German-language adaptation of 5DCR and its English-language source version show psychometric properties similar to the original studies by Kashdan et al. (Citation2020) in the United States. All six curiosity facets reach at least partial scalar invariance across cultures, sex, education, and mostly also across age groups. The findings support the six-faceted theory of curiosity and show that 5DCR allows for a valid assessment of curiosity across cultures

The developmental trajectory of intrinsic reading motivation: measurement invariance, group variations, and implications for reading proficiency

The goal of the present study is to extend previous research on the developmental trajectory of intrinsic reading motivation during early adolescence. Using large-scale panel data on secondary school students in Germany, we examined: (1) the longitudinal measurement invariance of intrinsic reading motivation, (2) the generalizability of the developmental trajectory of intrinsic reading motivation across students’ gender, parental socioeconomic status (SES), and school tracks (academic vs. vocational), and (3) the associations between the developmental trajectory of intrinsic reading motivation and the developmental trajectory of reading proficiency. The scale we used to measure intrinsic reading motivation showed the (strict) measurement invariance across six occasions of measurement from Grades 5 to 10, indicating the high structural similarity (e.g., factor loadings, intercepts) of intrinsic reading motivation during early adolescence. Our analyses of latent growth curve models also confirm previous findings that students tend to experience a steady and significant linear decline in intrinsic reading motivation from Grades 5 to 10. This developmental decline also seems to be more pronounced in size (Δ = − 0.772, p < .001) than previously reported. The developmental decline in intrinsic reading motivation was observed irrespective of students’ gender, parental SES, and school tracks. Male students expressed lower mean-levels of intrinsic reading motivation across the waves and exhibited a steeper motivational decline compared to female students. Despite mean-level differences across the waves, students showed similar degrees of a motivational decline across parental SES and school tracks. Finally, the larger decline in students’ intrinsic reading motivation was associated with the smaller growth of their reading proficiency from Grades 5 to 10. Our study provides further support for the high prevalence of the developmental decline in intrinsic reading motivation during early adolescence, its generalizability across students’ demographic characteristics, and its implications for the development of reading proficiency

Justice Evaluation of the Income Distribution (JEID): Development and validation of a short scale for the subjective assessment of objective differences in earnings

Justice evaluations are proposed to provide a link between the objective level of inequality and the consequences at the individual and societal level. Available instruments, however, focus on the subjective perception of inequality and income distributions. In light of findings that subjective perceptions of inequality and income levels can be biased and subject to method effects, we present the newly developed Justice Evaluation of the Income Distribution (JEID) Scale, which captures justice evaluations of the actual earnings distribution. JEID comprises five items that provide respondents with earnings information for five groups at different segments along the distribution of earnings in a given country. We provide a German-language and an English-language version of the scale. The German-language version was developed and validated based on three comprehensive heterogeneous quota samples from Germany; the translated English-language version was validated in one comprehensive heterogeneous quota sample from the UK. Using latent profile analysis and k-means clustering, we identified three typical response patterns, which we labeled “inequality averse,” “bottom-inequality averse,” and “status quo justification.” JEID was found to be related to normative orientations in the sense that egalitarian views were associated with stronger injustice evaluations at the bottom and top ends of the earnings distribution. With a completion time of between 1.50 and 2.75 min, the JEID scale can be applied in any self-report survey in the social sciences to investigate the distribution, precursors, and consequences of individuals’ subjective evaluations of objective differences in earnings

Measuring Intellectual Curiosity across Cultures: Validity and Comparability of a New Scale in Six Languages

Intellectual curiosity - the tendency to seek out and engage in opportunities for effortful cognitive activity - is a crucial construct in educational research and beyond. Measures of intellectual curiosity vary widely in psychometric quality, and few measures have demonstrated validity and comparability of scores across multiple languages. We analyzed a novel, six-item intellectual curiosity scale (ICS) originally developed for cross-national comparisons in the context of the OECD's Programme for the International Assessment of Adult Competencies (PIAAC). Samples from six countries representing six national languages (U.S. Germany, France, Spain, Poland, and Japan; total N = 5,557) confirmed that the ICS possesses very good psychometric properties. The scale is essentially unidimensional and showed excellent reliability estimates. On top of factorial validity, the scale demonstrated strict measurement invariance across demographic segments (gender, age groups, and educational strata) and at least partial scalar invariance across countries. As per its convergent and divergent associations with a broad range of constructs (e.g., Open-Mindedness and other Big Five traits, Perseverance, Sensation Seeking, Job Orientations, and Vocational Interests), it also showed convincing construct validity. Given its internal and external relationships, we recommend the ICS for assessing intellectual curiosity, especially in cross-cultural research applications, yet we also point out future research areas

Personality Change Through Arts Education: A Review and Call for Further Research

Education involving active engagement in the arts, herein called arts education, is often believed to foster the development of desirable personality traits and skills in children and adolescents. Yet the impact of arts education on personality development has rarely been systematically investigated. In the current article, we reviewed the literature on personality change through arts education. We identified 36 suitable experimental and quasi-experimental studies. Evidence from these studies tentatively suggests that arts-education programs can foster personality traits such as extraversion and conscientiousness but not self-esteem. In addition, the effects of arts education appeared to be stronger in early and middle childhood than in preadolescence and early adolescence. However, the evidence for the effectiveness of arts education was very limited among the few included true experiments. Furthermore, the reviewed studies were heterogenous and subject to content-related, methodological, and statistical limitations. Thus, the current evidence base is inconclusive as to the effects of arts education on personality development. By identifying potential effects of arts education and limitations of past research, our review serves as a call for more research and guidepost for future studies on arts education and personality change

Grit (effortful persistence) can be measured with a short scale, shows little variation across socio-demographic subgroups, and is associated with career success and career engagement

Grit (effortful persistence) has received considerable attention as a personality trait relevant for success and performance. However, critics have questioned grit's construct validity and criterion validity. Here we report on two studies that contribute to the debate surrounding the grit construct. Study 1 (N = 6,230) examined the psychometric properties of a five-item grit scale, covering mainly the perseverance facet, in a large and representative sample of German adults. Moreover, it investigated the distribution of grit across sociodemographic subgroups (age groups, genders, educational strata, employment statuses). Multiple-group measurement models demonstrated that grit showed full metric, but only partial scalar, invariance across all sociodemographic subgroups. Sociodemographic differences in the levels of grit emerged for age, education, and employment status but were generally small. Study 2 investigated how grit relates to career success (income, job prestige, job satisfaction) and career engagement (working overtime, participation in continuing professional development courses, attitudes toward lifelong learning) in an employed subsample (n = 2,246). When modeled as a first-order factor, grit was incrementally associated with all indicators of career success and especially of career engagement (.08 ≤ β ≤ .75)-over and above cognitive ability and sociodemographic characteristics. When modeled as a residual facet of conscientiousness, grit largely retained its criterion validity for success but only partly for engagement (-.14 ≤ β ≤ .61). Our findings offer qualified support for the psychometric quality of the short grit scale and suggest that grit may provide some added value in predicting career outcomes. We critically discuss these findings while highlighting that grit hardly differs from established facets of conscientiousness such as industriousness/perseverance

Why we need to abandon fixed cutoffs for goodness-of-fit indices: An extensive simulation and possible solutions

To evaluate model fit in confirmatory factor analysis, researchers compare goodness-of-fit indices (GOFs) against fixed cutoff values (e.g., CFI > .950) derived from simulation studies. Methodologists have cautioned that cutoffs for GOFs are only valid for settings similar to the simulation scenarios from which cutoffs originated. Despite these warnings, fixed cutoffs for popular GOFs (i.e., χ2, χ2/df, CFI, RMSEA, SRMR) continue to be widely used in applied research. We (1) argue that the practice of using fixed cutoffs needs to be abandoned and (2) review time-honored and emerging alternatives to fixed cutoffs. We first present the most in-depth simulation study to date on the sensitivity of GOFs to model misspecification (i.e., misspecified factor dimensionality and unmodeled cross-loadings) and their susceptibility to further data and analysis characteristics (i.e., estimator, number of indicators, number and distribution of response options, loading magnitude, sample size, and factor correlation). We included all characteristics identified as influential in previous studies. Our simulation enabled us to replicate well-known influences on GOFs and establish hitherto unknown or underappreciated ones. In particular, the magnitude of the factor correlation turned out to moderate the effects of several characteristics on GOFs. Second, to address these problems, we discuss several strategies for assessing model fit that take the dependency of GOFs on the modeling context into account. We highlight tailored (or "dynamic") cutoffs as a way forward. We provide convenient tables with scenario-specific cutoffs as well as regression formulae to predict cutoffs tailored to the empirical setting of interest

Lifestyle factors and high-risk atherosclerosis: Pathways and mechanisms beyond traditional risk factors

Despite major efforts to reduce atherosclerotic cardiovascular disease (ASCVD) burden with conventional risk factor control, significant residual risk remains. Recent evidence on non-traditional determinants of cardiometabolic health has advanced our understanding of lifestyle-disease interactions. Chronic exposure to environmental stressors like poor diet quality, sedentarism, ambient air pollution and noise, sleep deprivation and psychosocial stress affect numerous traditional and non-traditional intermediary pathways related to ASCVD. These include body composition, cardiorespiratory fitness, muscle strength and functionality and the intestinal microbiome, which are increasingly recognized as major determinants of cardiovascular health. Evidence points to partially overlapping mechanisms, including effects on inflammatory and nutrient sensing pathways, endocrine signalling, autonomic function and autophagy. Of particular relevance is the potential of low-risk lifestyle factors to impact on plaque vulnerability through altered adipose tissue and skeletal muscle phenotype and secretome. Collectively, low-risk lifestyle factors cause a set of phenotypic adaptations shifting tissue cross-talk from a proinflammatory milieu conducive for high-risk atherosclerosis to an anti-atherogenic milieu. The ketone body ß-hydroxybutyrate, through inhibition of the NLRP-3 inflammasome, is likely to be an intermediary for many of these observed benefits. Adhering to low-risk lifestyle factors adds to the prognostic value of optimal risk factor management, and benefit occurs even when the impact on conventional risk markers is discouragingly minimal or not present. The aims of this review are (a) to discuss novel lifestyle risk factors and their underlying biochemical principles and (b) to provide new perspectives on potentially more feasible recommendations to improve long-term adherence to low-risk lifestyle factors

High-Risk Atherosclerosis and Metabolic Phenotype: The Roles of Ectopic Adiposity, Atherogenic Dyslipidemia, and Inflammation

Current algorithms for assessing risk of atherosclerotic cardiovascular disease (ASCVD) and, in particular, the reliance on low-density lipoprotein (LDL) cholesterol in conditions where this measurement is discordant with apoB and LDL-particle concentrations fail to identify a sizeable part of the population at high risk for adverse cardiovascular events. This results in missed opportunities for ASCVD prevention, most notably in those with metabolic syndrome, prediabetes, and diabetes. There is substantial evidence that accumulation of ectopic fat and associated metabolic traits are markers for and pathogenic components of high-risk atherosclerosis. Conceptually, the subset of advanced lesions in high-risk atherosclerosis that triggers vascular complications is closely related to a set of coordinated high-risk traits clustering around a distinct metabolic phenotype. A key feature of this phenotype is accumulation of ectopic fat, which, coupled with age-related muscle loss, creates a milieu conducive for the development of ASCVD: atherogenic dyslipidemia, nonresolving inflammation, endothelial dysfunction, hyperinsulinemia, and impaired fibrinolysis. Sustained vascular inflammation, a hallmark of high-risk atherosclerosis, impairs plaque stabilization in this phenotype. This review describes how metabolic and inflammatory processes that are promoted in large measure by ectopic adiposity, as opposed to subcutaneous adipose tissue, relate to the pathogenesis of high-risk atherosclerosis. Clinical biomarkers indicative of these processes provide incremental information to standard risk factor algorithms and advanced lipid testing identifies atherogenic lipoprotein patterns that are below the discrimination level of standard lipid testing. This has the potential to enable improved identification of high-risk patients who are candidates for therapeutic interventions aimed at prevention of ASCVD