Testing the Domain Specificity of Creativity with Kaufman Domains of Creativity Scale: A Meta-Analytic Confirmatory Factor Analysis

Domain-specificity is a topic of debate within the field of creativity. To shed light on this issue, we conducted a meta-analysis of cross-domain correlations based on the Kaufman Domains of Creativity Scale (K-DOCS). To evaluate the model fit of one general factor versus two factors that encompass the primary K-DOCS subscales (Scholarly, Everyday, Artistic, Scientific, and Performance), we employed the one-stage meta-analytic structural equation modeling (OSMASEM) approach. Poor fit of these models would provide evidence of domain-specificity, as the proposed models would not outperform the independence model. Our analysis included 45 correlation matrices from 30 studies, with a total sample size of 31,136 participants. The results provided support for a general domain of creativity, as well as a two-factor solution consisting of Arts and Sciences factors. Among the subscales, the highest correlation was found between the Artistic and Performance domains (r = .478), while the smallest correlation was observed between the Everyday and Scientific domains (r = .178). Furthermore, moderator analyses incorporating age and gender revealed that the Scientific and Everyday subscales exhibited a stronger factor load in older participants compared to younger participants. Implications are discussed for research and practice.     

The Chinese Version of the Revised Creativity Domain Questionnaire (CDQ‐R): First Evidence for its Factorial Validity and Systematic Association with the Big Five

The present study examines the factor structure of a Chinese version of the Revised Creativity Domain Questionnaire (CDQ‐R; Kaufman, Waterstreet, Ailaouni, Whitcomb, Roe, & Riggs, 2009) as well as its relation to Big Five personality traits within a Chinese sample (N = 787). Analyses indicate the appropriateness of the Chinese version of the CDQ‐R in terms of internal consistency, factorial validity as well as convergent and divergent validity concerning the Big Five personality factors. Revealing some culture‐specific variation, confirmatory factor analysis indicated a slight superiority of a five‐factor model for this Chinese sample over the existing four‐factor model established with American samples. This higher level of differentiation in terms of one factor of the creativity domain could be explained on the basis of the specific characteristics of the Chinese culture.     

Safety perceptions and reported behavior related to cycling in mixed traffic: A comparison between Brisbane and Copenhagen

This study explores the differences in safety perceptions and reported behavior of cyclists in mixed traffic between an emerging cycling city (Brisbane, Australia) and an established cycling city (Copenhagen, Denmark). Perceptions and reported behavior were retrieved from a custom-designed web-based survey administered among cyclists in the two cities. Elicited items concerned perceived risk of infrastructure layouts, fear of traffic, cycling while distracted, use of safety gear, cycling avoidance due to feeling unsafe, and avoidance to cycle in mixed traffic conditions. The data were analyzed with structural equation models. Results show that, in comparison with cyclists in Copenhagen, cyclists in Brisbane perceive mixed traffic infrastructure layouts as less safe, feel more fear of traffic, and are more likely to adopt cycling avoidance as a coping strategy. Results also show that cyclists in Copenhagen tend to use less helmets and to cycle more while being distracted.     

Childhood sexual abuse and impulsive personality traits: Mixed evidence for moderation by DRD4 genotype

This project examines associations between childhood sexual abuse (CSA) and two dimensions of impulsivity (sensation seeking and premeditation), and tests whether CSA-personality associations are moderated by the DRD4 exon III VNTR polymorphism. Sample 1 is from a longitudinal study of university students measured at 10 waves over ages 18–24 years (n = 500). Sample 2 is from a national sample of young adult sibling pairs, ages 18–24, from the National Longitudinal Study of Adolescent Health (n = 2559). In both samples, CSA was associated with elevated sensation seeking. In Sample 1, the association between CSA and sensation seeking was moderated by DRD4 genotype; this gene × environment interaction effect, however, was not replicated in Sample 2. Results suggest new avenues for research on CSA in the area of normal-range personality variation.     

Social Media as Social Capital of LGB Individuals in Hong Kong: Its Relations with Group Membership,Stigma, and Mental Well‐Being

Social media are found to facilitate social information exchange among lesbian, gay, and bisexual (LGB) individuals who are subjected to social stigma. This study tested the protective role of LGB‐tailored social media uses and gratifications in promoting LGB group membership, which we hypothesized to reduce LGB stigma and enhance mental health among LGB individuals in Hong Kong. Based on a sample of 233 Chinese LGB individuals in Hong Kong, structural equation modeling showed evidence for our hypotheses, χ_(df=62)² = 88.20, GFI = 0.95, CFI = 0.98, NNFI = 0.98, SRMR = 0.07, RMSEA = 0.04. Community surveillance, identity expression, and emotional support on social media may promote mental health by instilling a sense of group membership and reducing stigma. Social media may build camaraderie and bolster resilience among LGB individuals that may otherwise be difficult in conservative regions.     

Toward resolution of a longstanding controversy in personality disorder diagnosis: Contrasting correlates of schizoid and avoidant traits

Although the construct validity and clinical utility of separate schizoid and avoidant personality disorder (PD) categories has been controversial since avoidant PD was first introduced in DSM-III, few studies have compared individuals with schizoid versus avoidant features on variables relevant to their contrasting personality dynamics. Those few investigations that exist have yielded inconclusive results. In this study a mixed-sex sample of nonclinical participants (N = 123) completed the International Personality Disorder Examination Screening Questionnaire (IPDE-SQ) and self-report measures of attachment style, defense style, empathy, internalized shame, need to belong, rejection sensitivity, and social anhedonia. High levels of social anhedonia were uniquely predictive of schizoid features; high levels of need to belong and internalized shame were uniquely predictive of avoidance. These findings support retaining the two PD categories in future versions of the DSM. Supplementary analyses revealed that among women—but not men—schizoid and avoidant traits were positively and significantly intercorrelated; it may be that women show more of a blended schizoid–avoidant profile, whereas men display the more prototypical categorical profile where either schizoid or avoidant features predominate.     

The role of moral commitment within the Investment Model

The Investment Model (Rusbult, 1980) defines general commitment as a long‐term orientation towards relationship maintenance and feelings of psychological attachment, influenced by satisfaction, quality of alternatives and intrinsic/extrinsic investments. We suggest the importance of additionally assessing moral commitment, defined by an intrapersonal predisposition to remain in the relationship (Johnson, 1991). We argue moral commitment's association to perceived intrinsic investments acting as internal barriers influencing general commitment and promoting relationship maintenance. A correlational study resorting to structural equation modelling showed that moral commitment predicted intrinsic investments, which in turn predicted general commitment (Model 1). No direct paths emerged from moral commitment to satisfaction or quality of alternatives (Model 2), nor it emerged as a fourth direct predictor of general commitment (Model 3). Results are discussed under relationships maintenance and dissolution frameworks.     

Exploring Factor Model Parameters across Continuous Variables with Local Structural Equation Models

Using an empirical data set, we investigated variation in factor model parameters across a continuous moderator variable and demonstrated three modeling approaches: multiple-group mean and covariance structure (MGMCS) analyses, local structural equation modeling (LSEM), and moderated factor analysis (MFA). We focused on how to study variation in factor model parameters as a function of continuous variables such as age, socioeconomic status, ability levels, acculturation, and so forth. Specifically, we formalized the LSEM approach in detail as compared with previous work and investigated its statistical properties with an analytical derivation and a simulation study. We also provide code for the easy implementation of LSEM. The illustration of methods was based on cross-sectional cognitive ability data from individuals ranging in age from 4 to 23 years. Variations in factor loadings across age were examined with regard to the age differentiation hypothesis. LSEM and MFA converged with respect to the conclusions. When there was a broad age range within groups and varying relations between the indicator variables and the common factor across age, MGMCS produced distorted parameter estimates. We discuss the pros of LSEM compared with MFA and recommend using the two tools as complementary approaches for investigating moderation in factor model parameters.     

A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects

Several approaches exist for estimating the derivatives of observed data for model exploration purposes, including functional data analysis (FDA; Ramsay &; Silverman, 2005 Ramsay, J. O., &; Silverman, B. W. (2005). Functional data analysis (2nd ed.). New York, NY: Springer-Verlag. [Google Scholar]), generalized local linear approximation (GLLA; Boker, Deboeck, Edler, &; Peel, 2010 Boker, S. M., Deboeck, P. R., Edler, C., &; Peel, P. K. (2010). Generalized local linear approximation of derivatives from time series. In S. Chow, E. Ferrer, &; F. Hsieh (Eds.), Statistical methods for modeling human dynamics: An interdisciplinary dialogue (pp. 161–178). New York, NY: Taylor &; Francis. [Google Scholar]), and generalized orthogonal local derivative approximation (GOLD; Deboeck, 2010 Deboeck, P. R. (2010). Estimating dynamical systms: Derivative estimation hints from Sir Ronald A. Fisher. Multivariate Behavioral Research, 45, 725–745. doi:10.1080/00273171.2010.498294[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). These derivative estimation procedures can be used in a two-stage process to fit mixed effects ordinary differential equation (ODE) models. While the performance and utility of these routines for estimating linear ODEs have been established, they have not yet been evaluated in the context of nonlinear ODEs with mixed effects. We compared properties of the GLLA and GOLD to an FDA-based two-stage approach denoted herein as functional ordinary differential equation with mixed effects (FODEmixed) in a Monte Carlo (MC) study using a nonlinear coupled oscillators model with mixed effects. Simulation results showed that overall, the FODEmixed outperformed both the GLLA and GOLD across all the embedding dimensions considered, but a novel use of a fourth-order GLLA approach combined with very high embedding dimensions yielded estimation results that almost paralleled those from the FODEmixed. We discuss the strengths and limitations of each approach and demonstrate how output from each stage of FODEmixed may be used to inform empirical modeling of young children’s self-regulation.