An application of the exploratory structural equation modeling framework to the study of personality faking

Bifactor exploratory structural equation modeling: A meta-analytic review of model fit

Multivariate behavioral research often focuses on latent constructs-such as motivation, self-concept, or wellbeing-that cannot be directly observed. Typically, these latent constructs are measured with items in standardized instruments. To test the factorial structure and multidimensionality of latent constructs in educational and psychological research, Morin et al. (2016a) proposed bifactor exploratory structural equation modeling (B-ESEM). This meta-analytic review (158 studies, k = 308, N = 778,624) aimed to estimate the extent to which B-ESEM model fit differs from other model representations, including confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), hierarchical CFA, hierarchical ESEM, and bifactor-CFA. The study domains included learning and instruction, motivation and emotion, self and identity, depression and wellbeing, and interpersonal relations. The meta-analyzed fit indices were the χ2 /df ratio, the comparative fit index (CFI), the Tucker-Lewis index (TLI), the root mean square error of approximation (RMSEA), and the standardized root mean squared residual (SRMR). The findings of this meta-analytic review indicate that the B-ESEM model fit is superior to the fit of reference models. Furthermore, the results suggest that model fit is sensitive to sample size, item number, and the number of specific and general factors in a model.

Promoting Chinese urban residents' participation in source separation and recycling

Source separation and recycling (SSR) for municipal solid waste is an important strategy for the transition to a circular economy and requires broader resident participation. How can residents' participation in SSR be promoted? Here, we consider 13 cities in Jiangsu as microcosms of China. We quantify residents' intentions to participate in SSR by distributing a validated questionnaire to 2,963 urban residents, analyze the results through structural equation modeling, and propose localized policy recommendations. We find that residents have positive attitudes toward SSR, although 92.6% of residents in southern Jiangsu were more willing to participate than those in northern Jiangsu (84.6%). Additionally, the influencing factors and their degree of influence on resident SSR participation intentions exhibit disparities across cities. "Accessibility of SSR facilities" simultaneously affects the 13 studied cities and is a key factor. "Environmental knowledge" and "environmental attitudes" are important impact factors, with occurrence frequencies of 84.6% and 69.2%, respectively. However, laws and regulations have no significant effect on residents' SSR participation intentions. We recommend that the government create favorable external conditions related to facilities and services, promote extensive publicity and educational activities through various channels, and improve the effectiveness of SSR laws and regulations. Future SSR management strategies should be localized, flexible and comprehensive. This research could help decision makers in China and other countries design policy guides to promote SSR and help link current research areas to social development.

The influence mechanism of household waste separation behavior among college students in the post COVID-19 pandemic period

College students are one of the most important groups of participants and promoters of household waste separation. Taking Ningbo as a case study, an online + offline questionnaire survey among more than 1700 students in 10 colleges is conducted to identify the main factors and pathways influencing waste separation behavior in the post COVID-19 pandemic period. The results show that the KMO statistic is 0.926, Bartlet test is p < 0.001, indicating that questionnaire sample data is suitable for factor analysis. The modified Structural Equation Model test indicates that waste separation behavior of college students mainly results from the combined effect of eight subjective intrinsic factors and seven external situational factors. Among them, the convenience of recycling facilities, the convenience of sorting facilities and the publicity and education of sorting knowledge are the top three factors with the most significant influence. The mean value of epidemic impact factors is 0.277, which is slightly lower than conventional influence factors (0.289). Environmental Norms and Constraints are an essential component in the analysis framework of college students' waste separation behavior. In the future, society and colleges should give full play to the positive influence of the epidemic factor on college students' waste separation behavior.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s10163-022-01363-3.

The Measurement Invariance of the Short Dark Triad

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

Trait Emotional Intelligence Questionnaire-Short Form: Brazilian Validation and Measurement Invariance between the United Kingdom and Latin-American Datasets

The present study aimed to evaluate the psychometric properties of the Brazilian adaptation of the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF). In a sample of 512 participants, we tested model fit by bifactor Exploratory Structural Equation Modeling (ESEM), followed by measurement invariance testing against UK and Chilean datasets of the measure. The Big Five Mini-Markers, Satisfaction with Life Scale and Subjective Happiness Scale were also administered as external validation measures. We obtained the following results: (a) final adequate bifactor ESEM model fit; (b) a significantly higher global trait EI mean for men (d = .27); (c) high internal consistency for global trait EI (α = .88), in spite of lower Cronbach's α values at the factor level (.60-.85); (d) high correlation (r = .89) in the test-retest; (e) significant correlation between global trait EI and most of the Big Five dimensions (r = -.66-.46), life satisfaction (.59) and happiness (.68); (f) evidence of incremental validity of trait EI for life satisfaction and happiness over and above the Big Five; (g) equivalent measurement across the Brazilian, UK and Chilean versions of the TEIQue-SF. We conclude that the Brazilian TEIQue-SF is psychometrically sound and can be recommended for research and practical use.

The Motivation and Opportunity for Socially Desirable Responding Does Not Alter the General Factor of Personality

Socially desirable responding may affect the factor structure of personality questionnaires and may be one of the reasons for the common variance among personality traits. In this study, we test this hypothesis by investigating the influence of the motivational test-taking context (development vs. selection) and the opportunity to distort responses (forced-choice vs. Likert response format) on personality questionnaire scores. Data from real selection and assessment candidates (total N = 3,980) matched on gender, age, and educational level were used. Mean score differences were found between the selection and development groups, with smaller differences for the FC version. Yet, exploratory structural equation models showed that the overall factor structures as well as the general factor were highly similar across the four groups. Thus, although socially desirable responding may affect mean scores on personality traits, it does not appear to affect factor structures. This study further suggests that the common variance in personality questionnaires is consistent and appears to be little influenced by motivational pressures for response distortion.