The Construct Validity of the Utrecht Work Engagement Scale: Multisample and Longitudinal Evidence

This study investigated the factor structure and factorial group and time invariance of the 17-item and 9-item versions of the Utrecht Work Engagement Scale (UWES; Schaufeli et al. (2002b) Journal of Happiness Studies 3:71–92). Furthermore, the study explored the rank-order stability of work engagement. The data were drawn from five different studies (N = 9,404), including a three-year longitudinal study (n = 2,555), utilizing five divergent occupational samples. Confirmatory factor analysis supported the hypothesized correlated three-factor structure—vigor, dedication, absorption—of both UWES scales. However, while the structure of the UWES-17 did not remain the same across the samples and time, the structure of the UWES-9 remained relatively unchanged. Thus, the UWES-9 has good construct validity and use of the 9-item version can be recommended in future research. Moreover, as hypothesized, Structural Equation Modeling showed high rank-order stabilities for the work engagement factors (between 0.82 and 0.86). Accordingly, work engagement seems to be a highly stable indicator of occupational well-being.     

网络测验和纸笔测验的测量不变性研究：以生活满意度量表为例

以生活满意度量表为例,运用实证性因素分析,考察在中国文化下网络测验和传统纸笔测验之间的测量不变性。结果显示,网络测验和纸笔测验之间存在弱不变性,即网络测验和纸笔测验有着相同的测量单位;但网络测验和纸笔测验只存在部分的强不变性和部分的严格不变性,测验实施环境对结果的影响不可忽视。该研究表明,恰当设计的网络测验是可靠的,同时还提示,当一个测验在不同情境下运用时,检验测量不变性十分必要     

What is the temperamental basis of humour like in China? A cross-national examination and validation of the standard version of the state–trait cheerfulness inventory

The State–Trait Cheerfulness Inventory–trait version (STCI-T60) consists of three dimensions of cheerfulness, seriousness, and bad mood integrated to measure the temperamental basis of the sense of humour. The present study replicated the three-dimensional factor structure of the STCI in China using 60 items consistent with other standard trait versions (e.g., English, Chilean-Spanish). Closer examination of associations between traits suggested bad mood showed curvilinear associations with both cheerfulness and seriousness, such that cheerfulness and bad mood were negatively associated for those low and average in trait bad mood but not for those with high trait bad mood. Seriousness was positively associated with bad mood at high levels of trait bad mood, but not at average or low levels of bad mood. Associations between the STCI traits and major personality dimensions, humour styles, and well-being were further examined. Cheerfulness and seriousness showed positive associations with satisfaction with life and emotional well-being (EWB) while bad mood showed a curvilinear association with EWB. Using multi-group confirmatory factor analyses, partial metric invariance was found between English and Chinese versions of the STCI-T60, but structural invariance was not observed. Implications based on the empirical literature in dialecticism and cross-cultural assessment were thoroughly discussed.     

Salutogenic constructs across Pakistan and Germany: A cross sectional study

Background/ObjectiveProtective factors are relevant for mental health in general, however, universality of the instruments has been rarely tested. Therefore, the current study aimed to examine psychometric properties and cross-cultural measurement invariance of salutogenic constructs.MethodData was collected from university students of Pakistan (n = 1,841) and Germany (n = 7,890). Single-group confirmatory analysis (CFA) and multiple-group CFA was tested to examine the proposed factor structure and measurement invariance of Positive Mental Health Scale, Resilience Scale, Perceived Social Support Questionnaire, and Life Satisfaction Scale across student samples from Pakistan and Germany respectively.ResultsWe found strong measurement invariance for the Positive Mental Health Scale, Life Satisfaction Scale, and partial strong measurement for the Resilience Scale, and Perceived Social Support Questionnaire.ConclusionsThe results indicate that these scales could be recommended for the meaningful comparison of latent means across cultures. Understanding these differences would further advance our knowledge about the mechanism underlying positive mental health.     

Validity evidence and measurement equivalence for the Dutch translation of the conditional reasoning test for aggression

The Conditional Reasoning Test for Aggression (CRT-A) indirectly measures the implicit motive to aggress by engaging respondents in inductive reasoning tasks. Most research involving the CRT-A has been based on the original English version of the test with most data being collected in the United States. The purpose of the current paper is to evaluate the psychometric properties of a Dutch translation of this test and to examine if it could be used to predict measures of integrity. In the first of two studies, we evaluated the psychometric properties and measurement equivalence of the CRT-A across US and Dutch samples. In the second study, we examined validity evidence for the Dutch version of the CRT-A. Results from Study 1 indicated that the test was mostly equivalent across cultures (i.e. limited differential item functioning was detected). Results from Study 2 demonstrated that the Dutch version of the CRT-A was correlated with measures of behavioral integrity and provided incremental prediction of integrity over and above traditional self-report measures of explicit personality traits. We discuss the implications for using CRTs across different cultures and languages.     

不同定义平行测验等值的群体不变性

群体不变性是等值的一个重要假设,即对不同的考生子群体等值函数一致。本研究对不同平行测验定义下线性等值的群体不变性进行了理论分析和模拟研究,模拟研究REMSD指标通过六种不同加权方式计算。结果显示,严格平行测验在信度较低时REMSD指标更大;子群体均值差异和信度差异对REMSD的影响存在明显的交互作用;REMSD指标在期望权重等权下的最大,在分数权重采用子群体比例加权最小。最后对结果进行了讨论,对REMSD权重使用及进一步研究给出了建议。     

Factorial invariance of the Rahim emotional quotient index

This study investigated the degree of factorial invariance of the 30-item Rahim Emotional Quotient Index (REQI) (Afzalur Rahim et al., 2002 Afzalur Rahim, M., Psenicka, C., Polychroniou, P., Zhao, J.-H., Yu, C.-S., Anita Chan, K., van Wyk, R. (2002). A model of emotional intelligence and conflict management strategies: A study in seven countries. The International Journal of Organizational Analysis, 10(4), 302–326. http://dx.doi.org/10.1108/eb028955[Crossref] , [Google Scholar]) across gender and language, using multiple group confirmatory factor analysis. Respondents were 341 full-time employed applicants to programmes in a South African Business School (females = 39.6%, African language group = 60.1%; non-African/Western language group = 39.9). With regard to age, the majority of the sample (25.5%) fell into the category 31–35 years. The Satorra-Bentler scaled chi-square difference tests showed no statistically significant differences between different gender and language groups, with regard to factor structure, factor loadings, variances and covariance. The findings support the original five-factor structure of the REQI for the two language groups, as well as the two gender groups.     

Assessing conspiracist beliefs across societies: Validation of the Serbian adaptation of the Generic Conspiracist Beliefs Scale (GCBS)

Initial validation of the Generic Conspiracist Beliefs Scale (GCBS) identified five correlated factors: Government Malfeasance, Malevolent Global Conspiracies, Extraterrestrial Cover-up, Personal Well-being and Control of Information. Despite replications of this structure, ensuing research, mostly using translated versions of the GCBS (i.e., Persian and Japanese), has reported factorial alternatives. Concomitantly, researchers postulated that belief in conspiracies was higher in historically troubled societies (e.g., Serbia). To further assess the cultural stability of the five correlated factor solution and test the assumption that GCBS scores are affected by social-political instability, a Serbian adaptation of the GCBS was assessed alongside the standard English language version. Data were collected from Serbian (n = 259, 44.40% males) and UK samples (n = 402, 52.25% males). Within samples, confirmatory factor analysis replicated the five-factor solution. Additionally, national and gender invariance was confirmed. National comparisons (Serbia vs. UK) revealed that the Serbian sample scored higher on Government Malfeasance, Malevolent Global Conspiracies, Personal Well-being and Control of Information, whereas the UK sample scored higher on Extraterrestrial Cover-up. There were no gender differences on GCBS factors. Findings indicated that while the Serbian GCBS was interpreted similarly to the GCBS, societal factors influenced endorsement of belief facets.     

Capturing age-group differences and developmental change with the BASC Parent Rating Scales

Estimation of age-group differences and intra-individual change across distinct developmental periods is often challenged by the use of age-appropriate (but non-parallel) measures. We present a short version of the Behavior Assessment System (Reynolds & Kamphaus, 1998) Parent Rating Scales for Children (PRS-C) and Adolescents (PRS-A), which uses only their common-items to derive estimates of the initial constructs optimized for developmental studies. Measurement invariance of a three-factor model (Externalizing, Internalizing, Adaptive Skills) was tested across age-groups (161 mothers using PRS-C; 200 mothers using PRS-A) and over time (115 mothers using PRS-C at baseline and PRS-A five years later) with the original versus short PRS. Results indicated that the short PRS holds a sufficient level of invariance for a robust estimation of age-group differences and intra-individual change, as compared to the original PRS, which held only weak invariance leading to flawed developmental inferences. The importance of test–content parallelism for developmental studies is discussed.     

A penalized likelihood method for multi-group structural equation modelling

In the past two decades, statistical modelling with sparsity has become an active research topic in the fields of statistics and machine learning. Recently, Huang, Chen and Weng (2017, Psychometrika, 82, 329) and Jacobucci, Grimm, and McArdle (2016, Structural Equation Modeling: A Multidisciplinary Journal, 23, 555) both proposed sparse estimation methods for structural equation modelling (SEM). These methods, however, are restricted to performing single-group analysis. The aim of the present work is to establish a penalized likelihood (PL) method for multi-group SEM. Our proposed method decomposes each group model parameter into a common reference component and a group-specific increment component. By penalizing the increment components, the heterogeneity of parameter values across the population can be explored since the null group-specific effects are expected to diminish. We developed an expectation-conditional maximization algorithm to optimize the PL criteria. A numerical experiment and a real data example are presented to demonstrate the potential utility of the proposed method.