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The purpose of this paper is to introduce the reader to the nature of confirmatory bifactor modelling. Confirmatory bifactor modelling is a factor analytic procedure that allows researchers to model unidimensionality and multidimensionality simultaneously. This method has important applications in the field of criminal psychology.

This paper begins by introducing the topic of factor analysis and explains how confirmatory bifactor modelling is similar yet distinct to the more familiar factor analytical procedures in the psychological literature.

Through practical examples this paper explains the value of this analytical technique to researchers in criminal psychology. Examples from the existing criminal psychological literature are used to illustrate the way in which bifactor analysis allows important theoretical questions to be addressed.

This paper highlights the strengths and limitations associated with traditional “restricted” confirmatory bifactor models and introduces the notion of the “unrestricted” bifactor model. The unrestricted bifactor model allows greater flexibility for addressing interesting research questions. The paper concludes by providing the reader with an annotated Mplus syntax file for how to perform confirmatory bifactor modelling.

The relationships between the Big Five personality traits and life and job satisfaction have been examined extensively. Despite this attention, however, most existing theories focus on a few global dimensions of the Big Five while relying primarily upon a selection of theoretically relevant but unmeasured facets to illuminate their factor-level explanations. The purpose of this paper is to examine personality–satisfaction relationships for job and life domains at the facet level to better identify and explain why certain global Big Five traits consistently relate to satisfaction, taking both factors and facets into account.

Data from over 20 specific occupational samples were pooled meta-analytically to examine personality facet of job/life satisfaction relationships and their generalizability. Bifactor latent variable modeling using meta-analytic input was used to examine independent contributions of general and unique personality facets.

The dominance facet of extraversion, low self-esteem facet of neuroticism, and responsibility facet of conscientiousness were most closely related to satisfaction variables. There were independent contributions of general and unique facet level personality–satisfaction relations for the neuroticism and conscientiousness domains, but not for the extraversion domain.

Findings contribute to the literature on the bandwidth–fidelity dilemma in measuring personality and theories involving personality at work.

This study established the generalizability of Big Five traits–satisfaction relations and identified the empirically supported personality paths to understanding job and life satisfaction. This study also demonstrated how meta-analysis can be combined with bifactor models to understand substantive relations.

We generalise the spectral EM algorithm for dynamic factor models in Fiorentini, Galesi, and Sentana (2014) to bifactor models with pervasive global factors complemented by regional ones. We exploit the sparsity of the loading matrices so that researchers can estimate those models by maximum likelihood with many series from multiple regions. We also derive convenient expressions for the spectral scores and information matrix, which allows us to switch to the scoring algorithm near the optimum. We explore the ability of a model with a global factor and three regional ones to capture inflation dynamics across 25 European countries over 1999–2014.

This study aims to answer pertinent questions related to the quality of the organisational learning capability measurement model.

A time-separated design informed data collection. The organisational learning capability was exposed to classical higher-order and bifactor confirmatory factor analyses. Multigroup confirmatory factor analysis facilitated measurement invariance testing. This study assessed the predictive validity of the organisational learning capability subscales using hierarchical regression analysis.

This study replicated the second-order organisational learning capability model with four subscales. Bifactor modelling confirmed the multidimensionality of the organisational learning capability. The organisational learning capability was invariant between gender groups. The organisational learning capability subscales accounted for a significant variance in innovative work behaviour.

The organisational learning capability exhibits robust properties, making it a plausible option for monitoring the quality of organisational learning. Organisations must appreciate the quality of this dynamic capability and leverage it to generate new sources of value.

This study fills a critical gap in organisational learning-related capabilities in sub-Saharan African contexts, providing a base to influence innovation-related trajectories positively.

The purpose of this paper is to examine the dimensionality, composite reliability, and incremental validity of the Measure of Criminal Social Identity (MCSI) in a sample of Pakistani incarcerated delinquents (n=315) following translation of the measure into Urdu.

Four alternative factor models, with uncorrelated measurement error terms, were specified and tested using confirmatory factor analysis and bifactor modelling techniques.

Results indicated that a three-factor model provided a better fit to the data than the alternative models tested. The reliability of the scale was established using composite reliability. Furthermore, structural equation modelling revealed that the three MCSI factors were differentially related with external variables, indicating that the MCSI measures substantially different domains.

Implications for theory and future research are discussed.

The results add valuable evidence as to the cross-cultural applicability of the MCSI.

The purpose of this study is to propose and explore a conceptualization of decisional capital that is suitable for early career teachers.

This study uses exploratory factor analysis on a sample of early career teachers to examine a literature-derived conceptualization of decisional capital.

The factors that emerged support the literature-derived conceptualization. A subsequent confirmatory factor analysis on a second sample of early career teachers offers additional evidence for the proposed conceptualization. An exploration of the underlying factor structure comparing results across four competing models (i.e. unidimensional, correlated factors, second order, and bifactor) suggests that a second order factor explains the variance across the three proposed factors well. We conclude that this second order factor is decisional capital.

This is the first study that examines the discrete elements of decisional capital. Understanding these discrete elements is an avenue for investigation into the development of decisional capital beyond the acknowledgment that it takes time to develop.

This study investigates the validity of Ferreira et al.’s (2020) Organizational Bullshit Perception Scale by examining its distinctiveness from similar constructs (perceptions of organizational politics, organizational cynicism, procedural justice) and its predictive validity through its relations with important organizational attitudes (organizational identification) and behaviors (counterproductive work behavior and organizational citizenship behavior). This study also examines the moderating effects of honesty–humility on the relations between organizational bullshit perception and the outcomes of counterproductive work behavior, organizational citizenship behavior and organizational identification. Finally, this study examines the incremental validity of organizational bullshit perception in predicting counterproductive work behavior, organizational citizenship behavior and organizational identification above and beyond similar constructs in an exploratory fashion.

Survey data were collected from a sample of working adults online via Amazon’s Mechanical Turk platform across two waves (final N = 323 for wave 1 and 174 for wave 2), one month apart.

The results indicate that organizational bullshit perception, as measured by Ferreira et al.’s (2020) scale, represents a distinct construct that has statistically significant relations with counterproductive work behavior, organizational citizenship behavior and organizational identification, even after controlling for procedural justice, organizational cynicism and perceptions of organizational politics. The results, however, showed no support for honesty–humility as a moderator.

These findings suggest that organizations can benefit from assessing and working to alleviate their employees’ perceptions of organizational bullshit. This construct predicts behaviors and attitudes important for organizational functioning.

This study adds to Ferreira et al.’s (2020) original work by demonstrating organizational bullshit perception’s distinctiveness from existing constructs in the literature and its implications for organizations and their employees.

The purpose of this study is to revisit the measures of internal consistency for multi-item scales in hospitality research and compare the performance of Cronbach’s α, omega total (ω_Total), omega hierarchical (ω_H), Revelle’s omega total (ω_RT), Minimum Rank Factor Analysis (GLB_fa) and GLB algebraic (GLB_a).

A Monte Carlo simulation was conducted to compare the performance of the six reliability estimators under different conditions common in hospitality research. Second, this study analyzed a data set to complement the simulation study.

Overall, ω_Total was the best-performing estimator across all conditions, whereas ω_H performed the poorest. α performed well when factor loadings were high with low variability (high/low) and large sample sizes. Similarly, ω_RT, GLB_fa and GLB_a performed consistently well when loadings were high and less variable as well as the sample size and the number of scale items increased. Of the two GLB estimators, GLB_a consistently outperformed GLB_fa.

This study provides hospitality managers with a better understanding of what reliability is and the various reliability estimators. Using reliable instruments ensures that organizations draw accurate conclusions that help them move closer to realizing their visions.

Though popular in other fields, reliability discussions have not yet received substantial attention in hospitality. This study raises these discussions in the context of hospitality research to promote better practices for assessing the reliability of scales used within the hospitality domain.

Grounded in two primary theories such as (1) the triangular alignment model and (2) the technology–organization–environment framework, this paper aims to develop appropriate scales to measure the e-sourcing experience index (EEI).

The sample includes a total of 630 e-sourcing platform users in the US and India who have already utilized e-commerce platforms. Item response theory and factor analysis were used for the psychometric analysis. Measurement invariance was established between the Indian and US participants, indicating similar conceptualization of the items across the two cultures.

The study's results demonstrated that users have a better experience when online sourcing platforms provide adequate resources for making sourcing decisions, finding potential buyers and managing sourcing activities more efficiently. From the perspective of e-sourcing platforms, suppliers' performance and users' experiences can be improved when businesses address the concerns indicated in the five factors.

The study's objective was to develop the EEI in order to assess suppliers' experiences with e-sourcing platforms. Due to the diffusion of innovation theory (DOI), different stages of adaptation may cause varied experiences and relationships with buyers.

From a theoretical perspective, this study is one of the few to combine triangular alignment model (TAM) and technology–organization–environment (TOE) theories and to develop a reliable and valid scale (EEI) for user experiences with online sourcing platforms. Based on the previous scales, the EEI was found to be well in line with the established theories on traditional apparel sourcing, and, at the same time, considered the particulars of e-sourcing practices.

The purpose of this paper is to identify the factor structure of safety culture construct among engineering students at university context and to examine the measurement invariance of this instrument across different socio-demographic groups in a sample of engineering students in the United Arab Emirates (UAE).

An exploratory online questionnaire was completed by 770 undergraduate and postgraduate engineering students across the UAE. Data were analyzed using a diversified multi-group and a robust and sophisticated cross-validation testing strategy. Confirmatory factor analysis (CFA) was used to test factor structures identified in previous studies. Multi-group invariance testing was conducted to determine the extent to which factor structure is comparable across groups (i.e. gender, educational and experiential background).

Three-factor model was preferred for its parsimony. The results showed that the level of safety awareness and attitude is relatively satisfactory, whereas safety behaviour is inadequate. No significant difference was showed in multi-group invariance between demographic groups.

This research is a cross-sectional study and limited to the views of engineering students (informal group). The study would benefit from both informal and formal groups in assessing safety culture at university for a robust empirical evidence. The research highlights relevant implications for policy and program development, by pointing to the need to promote safety culture and mitigate safety-related accidents among engineering students.

This paper offers insight into benefit of understanding the level of safety culture among engineering students and extend knowledge of informal group involvement in safety-related accidents at university level.