Exploratory Structural Equation Modeling Research Articles

Self-other representations, emotion regulation and psychological distress as pathways to non-suicidal self-injury in emerging adults

ABSTRACT Theoretical models of non-suicidal self-injury (NSSI) have highlighted the complex interaction between underlying psychosocial vulnerabilities, but, there is limited empirical support for these conceptualizations. The aim of the study was to examine affective, cognitive and interpersonal factors predicting NSSI among emerging adults. A sample of 1,574 emerging adults aged 18–25 years, drawn from 19 colleges via multi-stage sampling completed measures of NSSI, emotion regulation, experiential avoidance, psychological distress, self-criticism, brooding-rumination, attachment style and perceived social support. The results indicated that 22.40% had engaged in one or more self-injuring behaviours in the past 12 months, with cutting skin, hitting self and severely scratching self as the most commonly endorsed methods. Exploratory structural equation modelling identified differential pathways to NSSI, with difficulties in regulating emotions emerging as the only direct predictor of NSSI. Two latent constructs reflecting relationally based affective and cognitive structures: a negative self-other representation, and attachment style of considering relationships as secondary to achievement were identified. These differentially, and indirectly impacted NSSI engagement through psychological distress and difficulties in emotion regulation. The implications for interventions to expand beyond addressing emotion regulation deficits, and include other affective, cognitive and relational vulnerabilities are discussed.

The Experience of Embodiment Scale: An examination of its psychometric properties in women from the Republic of Cyprus.

The Experience of Embodiment Scale (EES) is a recently developed instrument that assesses experiences of living in the body. Here, we prepared a novel Greek translation of the EES and examined its psychometric properties. We initially prepared a Greek translation of the EES using a 5-step procedure recommended for test adaptation studies. Next, in a cross-sectional study, we asked a sample of 933 women from Cyprus to complete the Greek EES, alongside additional, previously validated measures assessing body appreciation, psychological well-being (self-esteem, life satisfaction), eating restriction, perfectionism, and internalisation of appearance ideals. Our analyses showed that EES factorial models based on confirmatory factor analysis (CFA) roundly had poor fit. Conversely, models based on exploratory structural equation modelling (ESEM)-which accounts for the fact that EES items cross-load across factors-had adequate fit to the data. Additionally, we found that both higher-order and bifactor-ESEM models that controlled for the uniqueness of negatively worded items had adequate fit. The bifactor-ESEM model had the best fit of all the models tested, and was invariant across ethnicity (Greeks and Greek-Cypriots) and was unaffected by differential item functioning based on age and body mass index. Additionally, construct validity of the final, optimal model was adequate, especially for its G-factor, as indicated by significant associations with additional constructs in expected directions. These results suggest that a bifactor-ESEM model of the Greek EES has adequate psychometric properties. Our work highlights important psychometric issues relating to the manner in which the EES should (or could) be conceptualised and modelled, which should be considered more fully in future work.

Disordered gambling, or dependence and consequences: a bifactor exploratory structural equation model analysis of the problem gambling severity index

Background The Problem Gambling Severity Index (PGSI) is a widely used assessment of disordered gambling. However, it has been claimed that instead of measuring a single factor of problem gambling severity, the PGSI measures two correlated factors of behavioral dependence and harms/consequences. The existing literature using exploratory and confirmatory factor analysis has notable limitations that mean these accounts cannot be discriminated. Method Secondary data from 13 nationally representative surveys of gamblers in the UK (n = 42,422) between 2007 and 2023 were used to examine five different approaches to specifying one- and two-factor models of the PGSI. Results Overall, the findings supported a single construct account. Fit indices provided slight support for a two-factor model. However, the composition and loadings of these factors did not replicate in the disaggregated datasets and demonstrated poor model-based reliability. The best-fitting model was a bifactor ESEM model with a general gambling severity factor and a group-specific factor subsuming additional covariance between the first three or four items. Conclusions This study provides support for a unitary gambling severity construct and the use of total PGSI scores. The second factor observed elsewhere appears to consist of residual covariances between the first 3-4 PGSI items or a methods factor that can be explained by item framing (e.g. items that ask about gambling behavior).

Understanding residents' engagement for the protection of urban green spaces by enriching the value‐belief‐norm theory with relational values—A case study of Munich (Germany)

Abstract Urban green spaces (UGS) provide mechanisms through which people connect and interact with each other, strengthening social relationships as well as human‐nature connections, both of high relevance for sustainable development. However, what determines urban residents' engagement in activities for the protection of UGS still lacks a systematic understanding. Our study aims to address this gap by enriching the value‐belief‐norm (VBN) theory with relational values based on a questionnaire (N = 221) among residents engaging in UGS maintenance in the city of Munich (Germany). Exploratory factor analysis and structural equation modelling showed that both individual responsibility and societal responsibility guide urban residents in their actions towards UGS protection. Furthermore, we found a direct impact of biospheric, altruistic and hedonic values on engagement for the protection of UGS. Therefore, this study signals the importance of investing in actively promoting pluralistic values among urban residents as cities today urgently need a reconnection of the human‐nature relationship and UGS stewardship actions. As we further confirm that relational values have impact on the constructs of the VBN theory, we conclude with a plea for recognizing the potential of relational values as enablers of change towards more responsible behaviours towards urban nature. Read the free Plain Language Summary for this article on the Journal blog.

Measurement of the self-determination continuum of motivation for engaging in alcohol-related harm reduction behaviors: Improved content coverage of the Treatment Self-Regulation Questionnaire.

Self-determination theory (SDT) proposes that people are more likely to engage in behaviors that reduce the harms associated with alcohol use if they do so for more self-determined reasons. There is growing support for this proposal, but the Treatment Self-Regulation Questionnaire (TSRQ), which assesses the self-determination continuum of motivation for engaging in alcohol-related harm reduction behaviors, lacks content coverage. We generated additional items to improve the content coverage of the TSRQ and evaluated its psychometric properties. We also compared two randomly assigned instruction sets that referenced "responsible drinking" or "protective behavioral strategies" (PBS). Participants (n = 2,236) were college students from psychology departments at 10 universities in eight U.S. states who reported past-month alcohol use and completed the revised TSRQ; the online survey was completed for partial course credit. Exploratory factor analysis supported a three-factor structure representing autonomous motivation, controlled motivation, and amotivation for the PBS version. This factor structure was confirmed using exploratory structural equation modeling for both the PBS and responsible drinking versions. Scalar invariance was achieved across instruction sets. Latent mean differences showed that those who received the PBS version had lower autonomous and controlled motivation scores, but higher amotivation scores. Associations of the three TSRQ factors with alcohol-related outcomes were consistent with SDT, and the magnitude of these associations did not differ across instruction sets. More accurate assessment of the self-determination continuum of motivation for alcohol-related harm reduction behaviors will improve research on this topic which has promising implications for alcohol interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Healing experiences at resort hotels (HERH): Conceptualization and scale development

Anchored in healing experiences literature and therapeutic landscapes theory, this study aims to develop a Healing Experiences at Resort Hotels (HERH) scale. Study 1 comprises an extensive review and culminates in the initial identification of five dimensions. Subsequent intensive interviews with ten interviewees yield 170 statements, which are refined into 26 items spanning five dimensions. In Study 2, through exploratory structural equation modeling using 280 survey responses, results are refined to 22 items across four dimensions: sensory healing, social healing, wellness and cultural healing, and natural healing. With another 574 survey responses, Study 3 then confirms the scale’s reliability, construct and discriminant validity, and criterion-related validity. This four-dimensional 22-item HERH scale constitutes a groundbreaking effort to create a comprehensive scale for healing experiences at resort hotels. As a practical tool, the HERH can be applied by hoteliers to evaluate the quality of healing experiences at resort hotels.

Conceptualization and measurement of foreign language playfulness via exploratory structural equation modeling

The current research sought to conceptualize and measure foreign language playfulness (FLP), a recently developed construct in second language acquisition (SLA), through exploratory structural equation modeling (ESEM), a recently introduced scale measurement approach. Using a sample of 208 Iranian undergraduate language learners, we employed a series of statistical techniques to examine the underlying structure, best fitting model, psychometric properties, measurement invariance, and factor correlation of a new measure of FLP. Findings showed that bifactor EFA, compared with EFA, provided better representation for the underlying structure of the FLPS. Multiple model comparisons indicated that the bifactor ESEM model had a more satisfying representation of the FLPS than the other models (CFA, bifactor CFA, and ESEM). Cronbach's α and omega (ω) demonstrated that the FLPS is a reliable instrument. The bifactor ESEM model of the FLPS was also invariant across genders. Finally, factor correlation in ESEM exhibited a more accurate reflection of the association between the two factors (intellectual playfulness and other-directed playfulness) of the FLPS. The results were discussed by highlighting the importance of using ESEM to validate psychological constructs in SLA.

Psychometric Validation of the Gambling Craving Scale in a Treatment-Seeking Sample.

The Gambling Craving Scale (GACS) is a multifaceted measure of gambling craving. Initial validation work by Young and Wohl (2009) in university student samples showed that the GACS had a three-factor structure capturing dimensions of Desire, Anticipation, and Relief. Despite its potential clinical utility as a measure of craving, the GACS has yet to be validated in people seeking treatment for gambling problems. Accordingly, we examined the psychometric properties in a sample of people (N = 209; Mage = 37.66; 62.2% female) participating in a randomized controlled trial testing a novel online treatment for problem gambling. We predicted the GACS would have a three-factor structure. In addition, we also examined measurement invariance across sex and problem gambling risk status. Finally, we assessed concurrent validity of the factors with other measures of problem gambling severity and involvement. Exploratory structural equation modeling findings supported a three-factor structure that was invariant across the groups tested. Each of the Desire, Anticipation, and Relief subscales were significant positive predictors of problem gambling severity and symptoms, and some form of gambling behaviour. Findings show the GACS is a promising scale to assess multidimensional craving experiences among people in treatment for gambling problems.

Measuring emotional contagion as a multidimensional construct: the development and initial validation of the contagion of affective phenomena scales

ABSTRACT We offer an alternative conceptualization of the construct of susceptibility to emotional contagion and four related studies where two separate measures were developed and initially validated. The Contagion of Affective Phenomena Scale-General (CAPS-G) is a 5-item scale that measures the general susceptibility to the contagion of affect, and the Contagion of Affective Phenomena Scale – Emotion (CAPS-E) assesses six distinct emotions. Study 1 generated items with experts. Study 2 explored and confirmed construct validity and the factorial structure of both measures using exploratory structural equation modeling. Study 3 established test–retest reliability, concurrent validity, and discriminant validity. Study 4 found predictive validity with a sample of competitive swimmers. In four separate samples, a 21-item and 6-factor first-order structure of CAPS-E provided the best model fit. We provide initial evidence that supports the use of CAPS-E and CAPS-G as reliable and valid measures of the susceptibility to contagion of affective phenomena.

Validation of the Malay version of the recovery-stress questionnaire for athletes: Application of confirmatory factor analysis and exploratory structural equation modeling

The Recovery-Stress Questionnaire for Athletes (RESTQ-Sport-52) is a tool developed to measure the frequency of stress associated through recovery activities with strong theoretical foundations. The study aims to examine the psychometric properties of the Malay version of RESTQ-Sport-52 using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). A cross-sectional study with purposive sampling method was employed. There were 617 undergraduate university students in Malaysia participated in the study with mean age of 20 years old (SD = 1.5). The majority of the participants were female (66.1 %), Malay (76 %) and participated in at least one sport or exercise. The RESTQ-Sport-52-M consisted of 52 items with two main sections; (1) general stress and recovery scales and (2) sport-specific stress and recovery scales. Mplus 8.3 was used to perform the CFA and ESEM analysis to examine the construct validity and reliability of RESTQ-Sport-52-M. For measurement model assessment using CFA, the final model of general-stress/recovery and sport-specific stress/recovery indicated a fit based on several fit indices. However, in the measurement model assessment using ESEM, the fit indices for model of general-stress/recovery (CFI = 0.935, SRMR = 0.037, RMSEA = 0.045) and sport-stress/recovery (CFI = 0.923, SRMR = 0.036, RMSEA = 0.044) were generally improved. The construct reliability for measurement models of RESTQ-Sport-52-M ranged from 0.76 to 0.89. The ESEM approach yielded a better fit indices compared to the CFA approach for both scales. The RESTQ-Sport-52-M (50 items) were considered a more valid and reliable questionnaire to measure recovery and stress in sports for Malaysian sample.

Posttraumatic stress disorder symptomology as measured by PCL-5 and its relationships to resilience, hostility and stress among paramedics and social professionals.

This survey study aimed to contribute to the extensive debate on the dimensionality of the Posttraumatic Stress Disorder Checklist for the DSM-5 (PCL-5) questionnaire by examining the psychometric properties and construct validity of its Hungarian version and relying on the inspection of a conceptual network of related variables, that is, perceived stress, hostility, and resilience. Confirmatory factor analysis (CFA), exploratory structural equation modelling (ESEM) and path analysis were applied on data collected from 177 paramedics and 66 professionals from the social field (58.4% male; Mage=43.5±9.96years). Despite the acceptable fit indices gained with CFA when testing the original four-factor DSM-5 model of PCL-5, strong associations (r=0.69-0.90) between subscales were found. Thus, ESEM was applied and as a result a new, three-factor version of the DSM-5 model of PCL-5 was proposed due to significant crossloadings that was theoretically also supported. The Reexperiencing and Avoidance subscales were merged and named Difficulty with Assimilation of Experience (DAE). In the path analysis only two of the tested associations were not significant using the new factor structure, in which stress fully mediated the relationship between resilience and DAE, and resilience and Hyperarousal. Overall, the hypothesised pathways between variables fit the collected data well. (weighted least squares mean-and variance-adjusted χ2=503.750 (df=270), comparative fit index=0.948, Tucker-Lewis index=0.939, root mean square error of approximation (90% confidence interval)=0.064 (0.055-0.073), weighted root mean square residual=1.024). Our analysis of the Hungarian version of PCL-5 contributes to the testing of a DSM-5-based questionnaire measuring posttraumatic stress disorder symptomology.

The Intuitive Eating Scale-3: Development and psychometric evaluation

Intuitive eating has been found to protect against disordered eating and preserve well-being. Yet, there are methodological (length), conceptual (inconsideration of medical, value-based, and access-related reasons for food consumption), and psychometric (item wording) concerns with its most common measure, the Intuitive Eating Scale-2 (IES-2). To address these concerns, we developed the IES-3 and investigated its psychometric properties with U.S. community adults. Across three online studies, we evaluated the IES-3's factorial validity using exploratory factor analysis (EFA; Study 1; N = 957; Mage = 36.30), as well as confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), bifactor-CFA, and bifactor-ESEM (Study 2; N = 1152; Mage = 40.95), and cross-validated the optimal model (Study 3; N = 884; Mage = 38.54). We examined measurement invariance across samples and time, differential item functioning (age, body mass index [BMI], gender), composite reliability, and validity. Study 1 revealed a 12-item, 4-factor structure (unconditional permission to eat, eating for physical reasons, reliance on hunger and satiety cues, body-food choice congruence). In Study 2, a bifactor-ESEM model with a global intuitive eating factor and four specific factors best fit the data, which was temporally stable across three weeks. This model also had good fit in Study 3 and, across Studies 2 and 3, and was fully invariant and lacked measurement bias in terms of age, gender, and BMI. Associations between latent IES-3 factors and age, gender, and BMI were invariant across Studies 2 and 3. Composite reliability and validity (relationships with disordered eating, embodiment, body image, well-being, and distress; negligible relationship with impression management) of the retained model were also supported. The 12-item IES-3 demonstrates strong psychometric properties in U.S. community adults. Research is now needed using the IES-3 in other cultural contexts and social identity groups.

The Chronic Time Pressure Inventory: further assessment of factorial structure and validity.

Chronic time pressure represents a prevalent concern within modern society, and effective measurement is crucial for research advancement. The Chronic Time Pressure Inventory (CTPI) has thus far demonstrated adequate psychometric properties. However, only two studies have examined the measure and evidence of its validity is limited. Accordingly, the current investigation, via two independent studies, assessed the factorial composition and validity (convergent/discriminant) of the CTPI. Study 1 (N = 398) examined competing factorial models and validity in relation to the Big Five personality traits (Extraversion, Agreeableness, Conscientiousness, Neuroticism, Openness). Study 2 (N = 358) replicated the analysis of factor structure and assessed validity in comparison with five time perspectives (Past Negative, Present Fatalistic, Future, Past Positive, Present Hedonistic). Participants across both studies completed standardized self-report measures capturing the variables. Comparison of confirmatory factor analysis (CFA) and exploratory structural equation modelling (ESEM) factor solutions indicated that an ESEM bifactor model provided the strongest data-model fit. This included a general chronic time pressure component alongside specific subfactors of Feeling Harried and Cognitive Awareness of Time Shortage. All scale items reflected the general factor; however, some items loaded weakly on the intended specific factor. The CTPI is thus a robust indicator of chronic time pressure but needs refinement as a measure of the specific factors. Convergent/discriminant validity analyses inferred that the CTPI captured chronic time pressure as a related, but distinct, construct to perceived stress, and evidenced a relationship with theoretically associated constructs (Big Five personality traits and time perspective). Overall, the CTPI is a sound measure of chronic time pressure and has the potential to further cohesive research efforts on the contribution of this construct to various life domains.

Deterrents to the IoT for smart buildings and infrastructure development: A partial least square modeling approach

Implementing Internet of things (IoT) technology in the context of intelligent buildings and infrastructure development has garnered significant attention within the construction sector. Nonetheless, the implementation of IoT could be improved by assessing various barriers. The purpose of this study was to examine the obstacles related to the adaptation of IoT techniques within the construction sector, as well as the effects on the advancement of intelligent building and infrastructure systems. The study employed a mixed-method approach involving exploratory factor analysis (EFA) and structural equation modeling (SEM) to determine six types of barriers: knowledge, technical, standardization, creativity, complexity, and economics. The study revealed that the implementation of IoT for developing smart construction and infrastructure in the construction sector was significantly influenced by all six constructs. The results of this study offer significant ramifications for the field. The study underscores the necessity for heightened consciousness and instruction regarding the advantages of implementing IoT. The study posits that the technical barriers, including interoperability, modernization of legacy infrastructure, and coordination and collaboration difficulties, require attention from the industry. The study highlights the significance of establishing industry-wide standards and protocols for implementing IoT and regulatory and legal frameworks. Finally, the study underscores the necessity for augmented funding and financing options for IoT endeavors. Subsequent study endeavors may expand upon the present findings by delving into the barriers encountered by alternative sectors and nations and assessing the efficacy of the suggested measures in this investigation.

가상현실내 자기 현존감 척도(Self-Presence Questionnaire) 타당화

Self-presence in virtual reality is the degree to which a user identifies with their avatar, which increases the sense of reality and immersion. This study aims to validate the Self-Presence Questionnaire (SPQ), developed by Ratan and Hasler (2009). The original 23 items of the SPQ scale were translated and back-translated by a counseling expert fluent in both Korean and English and cross-reviewed. Exploratory factor analysis was conducted using data from 575 college students to determine the number of sub-factors, and the construct validity of the model was verified using Exploratory Structural Equation Modeling. As a result, the Korean version of the SPQ compromized three factors: 'Physical', 'Emotional', and 'Identity' self-presence, with a total of 23 items. Criterion, discriminant, and cross-validity of the completed scale were verified with high level of reliability. Finally, the significance of the research results, limitations, and suggestions for future studies were discussed.

A Persian Validation of the Occupational Depression Inventory

Abstract: The present study examined the psychometric and structural properties of the Persian version of the Occupational Depression Inventory (ODI). The ODI focuses on depressive symptoms that employed individuals specifically ascribe to their work. A sample of 355 Iranian schoolteachers was surveyed. Exploratory structural equation modeling (ESEM) bifactor analysis indicated that the ODI meets the requirements for essential unidimensionality. ESEM bifactor analysis and scalability analysis supported the use of the ODI’s total score. The instrument exhibited high reliability. Cross-cultural measurement invariance was supported. As for the concurrent validity of the ODI, occupational depression correlated, in the expected direction, with job satisfaction, life satisfaction, well-being, work engagement, sick leave, and antidepressant intake. No association was observed with sex, age, length of employment, and a history of depressive disorders over the past year. The ODI displayed a balance of convergent and discriminant validity vis-a-vis an attribution-free measure of depressive symptoms. The prevalence of occupational depression was estimated at 2.8% in our sample. Our findings endorse the Persian version of the ODI and confirm the instrument’s overall robustness.

Face as a multidimensional construct: Cross‐cultural validation of the Loss of Face Scale in Taiwan and the United States

AbstractFace culture is a crucial facet of East Asia. The most common self‐report measure for face concern is the unidimensional Loss of Face Scale. In this study, we examined the dimensionality, factor structure, and validity of the Loss of Face Scale in two samples. Sample 1 (N = 602) consisted of 303 Taiwanese mothers and 299 U.S. mothers. Sample 2 (N = 602) was an independent sample from Sample 1, consisting of 294 Taiwanese mothers and 308 U.S. mothers. We proposed a modified 15‐item four‐dimensional factor structure to better capture the complexity of face. Four sub‐domains emerged from the results of exploratory structural equation modelling: Low‐Profile, Over‐Preparation, Harmony Seeking, and Non‐Aggression. Multigroup confirmatory factor analysis indicated configural and metric invariance but failed to establish full scalar invariance across countries. Convergent validity was supported by positive correlations with other Asian cultural values. While all four domains of face showed small to moderate correlations with depression in the U.S., only Low‐Profile was associated with depression in Taiwan, suggesting that not all aspects of face concern are non‐adaptive in East Asian contexts. Future studies should consider the multidimensional nature of face as well as how different dimensions affect mental and social well‐being across cultures.

Assessing the attention-interest-search-action-share (AISAS) model on the traditional textile exhibition visitors

Indonesia, rich in diverse ethnicities, celebrates numerous traditional textile traditions. Traditional textile marketing often finds expression through exhibitions. This study explores the applicability of the AISAS model in the exhibitions of traditional textiles in Jakarta. The research engages 235 participants aged 17 and above, all social media users with prior attendance at such exhibitions. Data analysis uses exploratory and confirmatory factor analyses and structural equation modelling. Hypothesis testing for the linear AISAS model affirms the impact of attention on interest, interest on search, search on action, and action on share, demonstrating positive outcomes. The non-linear AISAS model also confirms the impact of attention on interest and interest on search. However, the impact of interest on action reveals a nuanced result and the effects of search on action face rejection. This study holds significance for MICE (meetings, incentives, conferences, and exhibitions) marketing and textile exhibition strategies, providing valuable insights into consumer behaviour during traditional textile exhibitions.

Power or opportunity? Perceived inequality on life satisfaction explained by reduced trust in South Korea

AbstractThis paper presents new evidence linking different aspects of perceived inequality (education, employment, law enforcement, income and wealth, power, and gender) to life satisfaction. Using large‐scale national survey data, we examined the relationships between the six aspects of perceived inequality, life satisfaction, and generalized trust among South Koreans (N = 17,357). Exploratory structural equation modelling identified a two‐factor structure of perceived inequality: Opportunity Inequality (inequalities in education and employment) and Power Inequality (inequalities in income and wealth, law enforcement, power, and gender). Results from mediation analysis suggested that both aspects of inequality negatively predicted life satisfaction via reduced generalized trust. Those processes were consistent regardless of household income. The study underscores the critical impact that public perceptions of (in)equality in various opportunity and power aspects have on well‐being and trust and emphasizes the urgency of government and policy action to address the growing problem of inequality in South Korean society. The findings highlight the urgent need to address disparities and promote social harmony and well‐being in countries facing similar challenges.

Psychometric properties of the Italian version of the Occupational Fatigue Exhaustion/Recovery (OFER) scale among healthcare professionals

ABSTRACT Objective The purpose of this study was to analyze the psychometric properties of the Italian version of the Occupational Fatigue Exhaustion/Recovery (OFER). Methods A cross-sectional study among 434 healthcare workers was undertaken. The factorial validity of the OFER, was compared using standard confirmatory factor analysis (CFA) with exploratory structural equation modeling (ESEM). Internal consistency, convergent validity, and factorial invariance (across gender) were assessed. Results A three-factor first-order ESEM solution provided the best and most parsimonious representation of the data: χ2(63) = 212.81, p < .001, RMSEA = 0.074 (90% CI 0.063–0.085), CFI = 0.949, TLI = 0.915. The three-factors were chronic fatigue, acute fatigue, and intershift recovery. Chronic and acute factors showed excellent internal consistency (ω > 0.80), however intershift recovery showed less internal consistency (ω < 0.70). OFER scores were found to be positively correlated with FAS scores, supporting its convergent validity. Conclusions The OFER was factorially invariant across gender. Overall, our findings provided evidence for the satisfactory psychometric properties of the OFER among Italian workers, confirming its value for use in both practical occupational and academic research settings.