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The Coronavirus Disease-19 (COVID-19) pandemic has provoked the development of negative emotions in almost all societies since it first broke out in late 2019. The Impact of Event Scale-Revised (IES-R) is widely used to capture emotions, thoughts, and behaviors evoked by traumatic events, including COVID-19 as a collective and persistent traumatic event. However, there is less agreement on the structure of the IES-R, signifying a need for further investigation. This study aimed to evaluate the psychometric properties of the Arabic version of the IES-R among individuals in Saudi quarantine settings, psychiatric patients, and the general public during the COVID-19 outbreak. Exploratory factor analysis revealed that the items of the IES-R present five factors with eigenvalues > 1. Examination of several competing models through confirmatory factor analysis resulted in a best fit for a six-factor structure, which comprises avoidance, intrusion, numbing, hyperarousal, sleep problems, and irritability/dysphoria. Multigroup analysis supported the configural, metric, and scalar invariance of this model across groups of gender, age, and marital status. The IES-R significantly correlated with the Depression Anxiety Stress Scale-8, perceived health status, and perceived vulnerability to COVID-19, denoting good criterion validity. HTMT ratios of all the subscales were below 0.85, denoting good discriminant validity. The values of coefficient alpha in the three samples ranged between 0.90 and 0.93. In path analysis, correlated intrusion and hyperarousal had direct positive effects on avoidance, numbing, sleep, and irritability. Numbing and irritability mediated the indirect effects of intrusion and hyperarousal on sleep and avoidance. This result signifies that cognitive activation is the main factor driving the dynamics underlying the behavioral, emotional, and sleep symptoms of collective COVID-19 trauma. The findings support the robust validity of the Arabic IES-R, indicating it as a sound measure that can be applied to a wide range of traumatic experiences.

The importance of institutional factors and entrepreneurial orientation is widely recognized in the study of entrepreneurship development, leading to the development of different measurement scales. Using the sample of 45 informal enterprises, we examined the factor structure, reliability, convergent and discriminant validity of the selected constructs adapted to measure these constructs in the context of informal enterprises in Nigeria. We examined 45 items that measure institutional factors (political, cognitive, cultural, and corruption) and entrepreneurship orientation (innovativeness, proactiveness, and risk-taking). An assessment of Cronbach’s alpha and composite reliability shows that the items measuring risk-taking, proactiveness, uncertainty avoidance, and masculinity are internally consistent. However, some of the items measuring other constructs have lower loading, highlighting their lack of internal consistency. The results also evidence convergent and discriminant validity of the measures used. We conclude that most of the items are reliable measurements of the corresponding constructs, and the constructs adapted to measure these constructs correlate positively with the alternative measure of the constructs. Thus, the measures evaluated in this study can be used to assess these constructs across informal enterprises. The paper contributes to validating the measurement scales and indices of institutional theory and theory of entrepreneurial orientation in the context of informal enterprises.

Background: The updated 11 th edition of International Classification of Diseases (ICD-11) is expected to be released by the WHO in 2018. Disorders specifically associated with stress will be included in a separate chapter in ICD-11, and will include a revision of ICD-10 PTSD as well as a new diagnosis of complex posttraumatic stress disorder (CPTSD). The proposed symptom structures of ICD-11 PTSD and CPTSD have been validated in several studies previously, however few studies have used the International Trauma Questionnaire (ITQ), a specific measure for ICD-11 PTSD and CPTSD. Given that ICD-11 PTSD and CPTSD diagnoses are intended to be applicable across different cultures and nations, it is important that the constructs be evaluated across diverse populations and languages. Objective: Study of the psychological impact of trauma is relatively new in Lithuania, coinciding with its independence from the Soviet Union in the 1990s. Studies thus far reveal a population suffering from the effects of long-term and systematic political oppression and violence. The aim of this study was to assess the validity of the symptoms and structure of PTSD and CPTSD in a Lithuanian treatment-seeking sample as measured by the ITQ. Method: A total of 280 patients from outpatient mental health centres participated in this study. PTSD and CPTSD symptoms were measured with the ITQ. We applied confirmatory factor analysis (CFA) and latent class analysis (LCA) for analysis of data. Results and conclusions: Our study supported the ICD-11 factor structure of CPTSD, and a three-class model was supported in LCA analysis with a PTSD class, a CPTSD class, and a low symptom class. Findings support the factorial and discriminant validity of the ICD-11 proposals for PTSD and CPTSD in a unique clinical population.

Many constructs in management studies, such as perceptions, personalities, attitudes, and behavioral intentions, are not directly observable. Typically, empirical studies measure such constructs using established scales with multiple indicators. When the scales are used in a different population, the items are translated into other languages or revised to adapt to other populations, it is essential for researchers to report the quality of measurement scales before using them to test hypotheses. Researchers commonly report the quality of these measurement scales based on Cronbach’s alpha and confirmatory factor analysis results. However, these results are usually inadequate and sometimes inappropriate. Moreover, researchers rarely consider sampling errors for these psychometric quality measures. In this best practice paper, we first critically review the most frequently-used approaches in empirical studies to evaluate the quality of measurement scales when using structural equation modeling. Next, we recommend best practices in assessing reliability, convergent and discriminant validity based on multiple criteria and taking sampling errors into consideration. Then, we illustrate with numerical examples the application of a specifically-developed R package, measureQ, that provides a one-stop solution for implementing the recommended best practices and a template for reporting the results. measureQ is easy to implement, even for those new to R. Our overall aim is to provide a best-practice reference for future authors, reviewers, and editors in reporting and reviewing the quality of measurement scales in empirical management studies.

In the organizational context, the study of occupational stress encompasses constructs of fatigue at work. Within the air transportation sector, fatigue at work is a potential issue influencing both safety and occupational stress. The objective of the present study was to perform a convergent-discriminant validity analysis of the Feeling of Fatigue scale in the area of Administration. Data from an observational cross-sectional study involving a sample of 1,066 airline pilots were analyzed using quantitative modeling. Confirmatory factor analysis with the structural equations model was performed to determine the validity of a Portuguese version of the Feeling of Fatigue scale in the organizational context of civil aviation. This study fills a gap in the literature on occupational stress in Administration, highlighting the relevance of research on fatigue at work. The results confirmed the validity of a Portuguese version of a mature scale for subjective assessment of fatigue in Administration, thereby contributing to fatigue management in organizational settings.

Discriminant validity is recognized as the essential approach in structural equation modelling method to determine the construct uniqueness in a research model. Using this approach, the applied researchers can identify the distinction role on each construct applied in the study. To date, there are several available approaches has been introduced to perform the discriminant validity. In applied research, the Fornell & Larcker approach is known as the method of choice for discriminant validity. Thus, this study attempt to make a comparison Fornell & Larcker approach with HTMT using CBSEM and Consistent PLS. From here, the results revealed that HTMT based Consistent PLS approach is comparable to Fornell & Larcker based CBSEM but not empirical standard to Fornell & Larcker based Consistent PLS. The discussion and recommendations also provided for this justifications.

This research examines the convergent-discriminant and predictive validity of the Big Five personality dimensions assessed with two different formats of personality inventories: a single-stimulus (SS) and a quasi-ipsative forced-choice (FC). The relationship between both types of measures and intelligence (GMA) was also analyzed. The results showed that: (1) the SS and the quasi-ipsative FC measures present a high convergent-discriminant validity; (2) the Big Five personality dimensions, assessed with both questionnaires, and GMA are independent constructs; and (3) both types of personality measures have similar predictive validity for the three criteria examined (academic performance, training success, and interpersonal competence). As expected, conscientiousness was the best predictor of academic performance and training success. Extraversion was the best predictor of interpersonal competence. Finally, the theoretical and practical implications of these findings are discussed.

Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. We demonstrate its superior performance by means of a Monte Carlo simulation study, in which we compare the new approach to the Fornell-Larcker criterion and the assessment of (partial) cross-loadings. Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling.

PurposeOne popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT). However, the HTMT assumes tau-equivalent measurement models, which are unlikely to hold for most empirical studies. To relax this assumption, the authors modify the original HTMT and introduce a new consistent measure for congeneric measurement models: the HTMT2.Design/methodology/approachThe HTMT2 is designed in analogy to the HTMT but relies on the geometric mean instead of the arithmetic mean. A Monte Carlo simulation compares the performance of the HTMT and the HTMT2. In the simulation, several design factors are varied such as loading patterns, sample sizes and inter-construct correlations in order to compare the estimation bias of the two criteria.FindingsThe HTMT2 provides less biased estimations of the correlations among the latent variables compared to the HTMT, in particular if indicators loading patterns are heterogeneous. Consequently, the HTMT2 should be preferred over the HTMT to assess discriminant validity in case of congeneric measurement models.Research limitations/implicationsHowever, the HTMT2 can only be determined if all correlations between involved observable variables are positive.Originality/valueThis paper introduces the HTMT2 as an improved version of the traditional HTMT. Compared to other approaches assessing discriminant validity, the HTMT2 provides two advantages: (1) the ease of its computation, since HTMT2 is only based on the indicator correlations, and (2) the relaxed assumption of tau-equivalence. The authors highly recommend the HTMT2 criterion over the traditional HTMT for assessing discriminant validity in empirical studies.

Although workplace incivility has received increasing attention in organizational research over the past two decades, there have been recurring questions about its construct validity, especially vis-à-vis other forms of workplace mistreatment. Also, the antecedents of experienced incivility remain understudied, leaving an incomplete understanding of its nomological network. In this meta-analysis using Schmidt and Hunter's [Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.), Sage] random-effect meta-analytic methods, we validate the construct of incivility by testing its reliability, convergent and discriminant validity, as well as its incremental predictive validity over other forms of mistreatment. We also extend its nomological network by drawing on the perpetrator predation framework to systematically study the antecedents of experienced incivility. Based on 105 independent samples and 51,008 participants, we find extensive support for incivility's construct validity. Besides, we demonstrate that demographic characteristics (gender, race, rank, and tenure), personality traits (agreeableness, conscientiousness, neuroticism, negative affectivity, and self-esteem), and contextual factors (perceived uncivil climate and socially supportive climate) are important antecedents of experienced incivility, with contextual factors displaying a stronger association with incivility. In a supplementary primary study with 457 participants, we find further support for the construct validity of incivility. We discuss the theoretical and practical implications of this study. (PsycInfo Database Record (c) 2021 APA, all rights reserved).