Exploratory Structural Equation Modeling Research Articles

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.

The factor structure the PHQ-9 in Russian patients recovered from COVID-19

IntroductionThe nine-item Patient Health Questionnaire-9 (PHQ-9) is the first choice for screening for depression in primary care and other medical settings. The PHQ-9 has been shown to be a reliable and valid measure of depression symptoms, but there is disagreement among researchers about the factor structure of this questionnaire. Recent systematic reviews have found four different factor models of the PHQ-9, with one- and two-factor models being the most common. This discrepancy may be due to linguistic, cultural and clinical differences between the populations studied. The factor structure of the Russian version of the PHQ-9 during the COVID-19 pandemic has not been examined in any study to date.ObjectivesThe aim of our study was to determine the factorial structure and internal consistency of the Russian version of the PHQ-9 in COVID-19 survivors.MethodsFourteen thousand 725 (female - 11479 (78.0%), age - 18-79 years (M - 47.09, SD - 12.70) participants completed an online survey including the PHQ-9 and an ad hoc questionnaire focusing on sociodemographic and COVID-related characteristics. McDonald’s omega coefficient was estimated to determine the internal consistency of the questionnaire. Exploratory structural equation modelling (ESEM) with weighted least squares mean and variance adjusted estimator and geomin rotation was performed in Mplus 7.ResultsESEM provided evidence for a three-factor structure of the PHQ-9, representing affective (items 2, 6, 9), anergic (items 1, 3) and somatic (items 3, 5, 7, 8) dimensions of depression. These factors fit the data well (CFI - 0.998; TLI - 0.994; RMSEA (95% CI) - 0.028 (0.024 - 0.032)), better than a single factor (CFI - 0. 955; TLI - 0. 940; RMSEA (95% CI) - 0.089 (0.087 - 0.092)) and two-factor (CFI - 0.985; TLI - 0.971; RMSEA (95% CI) - 0.062 (0.059 - 0.065)). The McDonald’s omega was 0.82.ConclusionsOur study revealed a three-factor structure of the Russian version of the PHQ-9 in COVID-19 survivors. COVID-19. A high internal consistency of the Russian version of the instrument was confirmed.Disclosure of InterestNone Declared

Investigation of the factor structure of GAD-7 in Moscow residents exposed to SARS-CoV2

IntroductionRates of anxiety in the general population increased significantly during the COVID-19 pandemic. Several studies have shown that people exposed to SARS-CoV2 are at increased risk for both exacerbation and de novo development of anxiety disorders. Therefore, screening for anxiety disorders in this at-risk population is essential. In pre-pandemic studies, the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7) was one of the most commonly used self-report instruments. Its validity has been demonstrated in several studies. However, there is no agreement among researchers about its underlying internal structure. Both one-factor and two-factor solutions have been reported. This discrepancy may be due to linguistic, cultural, and clinical differences between the populations studied. To our knowledge, no studies have been conducted to investigate the factor structure of the GAD-7 in the Russian-speaking community sample and the psychometric properties of this questionnaire in SARS-CoV2 exposed individuals.ObjectivesThe aim of the study was to determine the factorial structure and internal consistency of the Russian version of the GAD-7 in a large sample of Moscow residents exposed to SARS-CoV2.MethodsFourteen thousand 725 (male - 11479 (78.0%), age - 18-79 years (M - 47.09, SD - 12.70) Moscow residents exposed to SARS-CoV2 completed an online survey including the GAD-7 and an ad hoc questionnaire focusing on socio-demographic characteristics. McDonald’s Omega was used to assess internal consistency. Exploratory structural equation modelling (ESEM) with weighted least squares means and variance adjusted estimator and geomin rotation was used to assess the factor structure of the Russian version of the GAD-7.ResultsThe McDonald’s Omega of the Russian version of the GAD-7 was 0.85, indicating a good internal consistency of the questionnaire. ESEM provided evidence for a one-factor solution that fits the data well (CFI - 0.996; TLI - 0.995; RMSEA (95% CI) - 0.041 (0.037 - 0.045)).ConclusionsIn Russian people exposed to SARS-CoV2, the GAD-7 showed good internal consistency. Our results are consistent with those of previous studies that reported a single-factor solution for the questionnaire.Disclosure of InterestNone Declared

Exploring teachers' (future) digital assessment practices in higher education: Instrument and model development

AbstractDigital technologies are increasingly used in assessment. On the one hand, this use offers opportunities for teachers to practice assessment more effectively, and on the other hand, it brings challenges to the design of pedagogically sound and responsible digital assessment. There is a lack of validated instruments and models that explain, assess and support teachers' critical pedagogical practice of digital assessment. This explorative work first develops and validates a survey instrument to examine teachers' digital assessment practices. Secondly, we build a model to investigate to what extent teachers' pedagogical digital assessment knowledge is a foundation for the future of digital assessment (ie, authentic, accessible, automated, continuous and responsible). A total of 219 university teachers at a large European university participated in the survey study. Factor exploratory analysis and structural equation modelling were used to validate the reliability and validity of items and internal causal relations of factors. The results show the survey is a valid and reliable instrument for assessing teachers' digital assessment practice in higher education. Teachers' pedagogical knowledge and pedagogical content knowledge of digital assessment is critical, while teachers' technological pedagogical knowledge seems to have a more limited impact on the future of digital assessment.Practitioner notesWhat is already known about this topic Digital technologies are increasingly used in assessment in higher education. Teachers are the key stakeholders in the assessment for learning. There is a limited transformative nature of digital assessment practices. What this paper adds A validated instrument to assess teachers' pedagogical practice of digital assessment in higher education. Teachers' pedagogical and pedagogical content knowledge of digital assessment is critical to the future of digital assessment. Teachers' technological pedagogical knowledge of digital assessment has a more limited impact on the future of digital assessment. Implications for practice and policy Teachers need to be supported in developing pedagogical digital assessment practices in higher education. Based on this study's outcomes, educators, institutions and policymakers can inform the design and implementation of effective and responsible digital assessment practices. The design and implementation of responsible digital assessments will enhance the quality of higher education in the digital age.

Q-Herilearn: Assessing heritage learning in digital environments. A mixed approach with factor and IRT models.

The assessment of heritage learning in digital environments lacks instruments that measure it with sufficient guarantees of accuracy, validity, and reliability. This study attempts to fill this gap by developing an instrument that has shown solid metric qualities. The process of design and calibration of a scale applied to 1,454 participants between 19 and 63 years of age is presented in this article. Exploratory factor analysis (Exploratory Structural Equation Modeling ESEM) and Item Response Theory models (Graded Response Model GRM) were used. Sufficient evidence of both reliability and validity based on content and internal structure was obtained. Invariance of scores as a function of gender and age of participants has also been demonstrated. The discrimination parameters of the items have been found to be high, and the test information curves have shown that the subscales measure with sufficient precision wide ranges of the respective latent variables. The instrument presents wide possibilities of application to various areas of Heritage Education (e.g., design of programs in HE, definition and planning of teaching objectives, evaluation of programs, etc., in virtual environments).

Forensic Professionals’ Stress Inventory (FPSI): Development and psychometric properties

Professionals in the justice system are particularly susceptible to occupational stress and burnout due to factors intrinsic to their profession. The Forensic Professional's Stress Inventory (FPSI) was designed to assess stress and psychological distress specifically in justice system professionals. A preliminary 41-item scale was administered to a sample of 690 forensic professionals (i.e., judges, lawyers, and attorneys). Exploratory factor analysis, exploratory structural equation modeling, and confirmatory factor analysis were conducted to find the most interpretable and parsimonious factor solution for FPSI. The 25-item bifactor model (with four first-order factors) demonstrated the most adequate fit to the data. Overall, FPSI revealed adequate psychometric properties and would be a useful instrument for assessing psychological strain and stress in forensic professionals.

Enhancing disaster management effectiveness: An integrated analysis of key factors and practical strategies through Structural Equation Modeling (SEM) and scopus data text mining

In the 21st century, the surge in natural and human-induced disasters necessitates robust disaster management frameworks. This research addresses a critical gap, exploring dynamics in the successful implementation and performance monitoring of disaster management. Focusing on eleven key elements like Vulnerability and Risk Assessment, Training, Disaster Preparedness, Communication, and Community Resilience, the study utilizes Scopus Database for secondary data, employing Text Mining and MS-Excel for analysis and data management. IBM SPSS (26) and IBM AMOS (20) facilitate Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM) for model evaluation.The research raises questions about crafting a comprehensive, adaptable model, understanding the interplay between vulnerability assessment, training, and disaster preparedness, and integrating effective communication and collaboration. Findings offer actionable insights for policy, practice, and community resilience against disasters. By scrutinizing each factor's role and interactions, the research lays the groundwork for a flexible model. Ultimately, the study aspires to cultivate more resilient communities amid the escalating threats of an unpredictable world, fostering effective navigation and thriving.

Dimensions of Entrepreneurial Orientation and Marketing Performance: The Moderating Effect of Market Turbulence

Purpose: This study is to understand how the marketing performance of used car showroom SMEs is related to the entrepreneurial orientation of used car showroom SME owners or managers as well as the moderating influence of market turbulence. Theoretical Framework: The key points and emphasizing the importance of understanding the dynamic relationship between entrepreneurial orientation, marketing performance, and market turbulence in the context of used car showroom SMEs. Methods: This study used quantitative research methods through surveys. The used car showroom SMEs analyzed are in the DKI Jakarta, Bogor, Depok, Tangerang and Bekasi Indonesia areas. Data was collected through questionnaires that had been compiled in a structured manner. Of the 290 questionnaires distributed, 289 returned questionnaires were used in data analysis. Analysis is carried out through exploratory factor analysis (EFA) and structural equation modeling (SEM). Results and Conclusion: Research findings show that innovativennes, proactive have an influence on product marketing performance (p &lt; 0.05). Meanwhile, risk taking did not have a significant effect on marketing performance (p &gt; 0.05). In addition, market turbulence moderates negatively the relationship between innovation and marketing performance, but market turbulence is unable to moderate the relationship between proactive and risk taking on marketing performance. The results of this study provide a new understanding for used car SMEs in Indonesia, especially in JABODETABEK. Research implications: The practical implication of this research is that in the used car showroom business, it is important for companies to develop dynamic capabilities that include innovation, proactivity, and readiness in take risks. Originality/value: The ability to understand the entrepreneurial orientation of SMEs will help them deal with uncertain market turmoil be it in competition, technological advancements, ever-changing customer preferences.

Psychometric evaluation of the Chinese version of the Multidimensional Competitive Orientation Inventory

This study examined the psychometric properties of the Chinese version of the Multidimensional Competitive Orientation Inventory (Ch-MCOI) in adults from Mainland China. A total of 1121 participants (50.6% male; M = 28.86, SD = 8.70) were recruited for this study. All participants completed the Chinese versions of the MCOI, the Connor-Davidson Resilience Scale (CD-RISC), the Warwick-Edinburgh Mental Well-being Scale (WEMWBS), the Almost Perfect Scale-Revised (APS), the Frost Multidimensional Perfectionism Scale (MPS-f), and the Competition Attitude Scale (Ch-CAS). A subsample of 239 participants (50.6% male; M = 32.04, SD = 8.13) completed the Ch-MCOI again after a two-week interval to assess test–retest reliability. Exploratory Structural Equation Modeling (ESEM) yielded a four-factor structure (hyper-competitive orientation, self-developmental competitive orientation, anxiety-driven competition avoidance, and lack of interest toward competition), which was further validated by confirmatory factor analyses with a satisfactory fit. Furthermore, test–retest reliability, internal consistency, and convergent and concurrent validity were also acceptable. Our findings suggest that the Ch-MCOI could be a reliable and valid instrument for assessing the adaptive and maladaptive facets of competitive orientations in the Chinese-speaking population.

When the Confounding Effect of Optimism Meets the Collider Effect of Motivation: Prospective teachers’ Moral Motives and Moral Stances

Previous studies clearly indicate the importance of exploring factors that influence teachers’/prospective teachers’ moral stances on teaching-related ethical concerns. However, none of these studies have specifically examined the moral motives of teachers/prospective teachers based on the activation of their moral regulation systems in personal, interpersonal, and social settings, while considering both the collider effect of motivation strength and the confounding effect of dispositional optimism. Such an investigation could provide deeper insights into teachers’ moral stances regarding critical incidents that give rise to ethical concerns within educational environments, particularly during the initial stages of their teaching careers (i.e., teacher education). Therefore, in the current study, prospective teachers’ moral motives were examined as predictors of their perceptions regarding unethical teacher behaviors, considering the collider effect of motivation strength and the confounding effect of dispositional optimism. 701 prospective teachers participated in the study. Comprehensive analyses, including preliminary exploratory structural equation modeling (ESEM) and a main analysis (i.e., set-ESEM), were implemented to investigate the relationships between the research variables thoroughly. The results revealed that the moral motives of ‘self-restraint’ and ‘not harming’ had a significant negative effect on the moral stances of prospective teachers regarding the adoption of unethical teacher behaviors. In contrast, the ‘social order’ moral motive had a significant positive effect on their moral stances toward adopting unethical teacher behaviors. In particular, these effects were not due to the collider effect of motivation strength or the confounding effect of dispositional optimism. Theoretical and practical implications were also discussed in the study.

A Bifactor Exploratory Structural Equation Model of Students’ Growth-Focused Motivation

In the current longitudinal study, we investigated the structure of students’ (N = 1,469) specific growth constructs and their broader growth orientation using a bifactor exploratory structural equation model. We also examined the extent to which each of these components was associated with gains in students’ academic and nonacademic outcomes across one year of school. Results demonstrated unique variance attributable to specific growth constructs and broader growth orientation, suggesting that there is an integrative network of growth-focused motivation. These specific and broad growth components also presented different patterns of associations with students’ outcomes. Findings suggest educational interventions should target different components of students’ growth-focused motivation depending on the desired academic or nonacademic outcome that researchers and educators wish to improve.

Correction: Hong et al. Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments. Psych 2024, 6, 111–134

Addition of an Author [...]

On the Behavior of Fit Indices for Adjudicating Between Exploratory Structural Equation and Confirmatory Factor Analysis Models

ABSTRACT Compared to traditional confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM) has been shown to result in less structural parameter bias when cross-loadings (CLs) are present. However, when model fit is reasonable for CFA (over ESEM), CFA should be preferred on the basis of parsimony. Using simulations, the current study examined the sensitivity of the CFI, RMSEA, and RMSEAD in correctly adjudicating model fit between ESEM and CFA. Results showed that 1) the magnitude of structural bias was moderated by the sign of the CL, 2) constraining non-zero CL to zero resulted in incorrectly specified CFAs demonstrating good stand-alone fit but were often rejected when compared with ESEM, and 3) CFAs with negligible factor correlation bias <|.10| often failed the model equivalence test while those with non-ignorable bias >|.30| passed. This disconnect is shown to be linked to CL conditions and calls into question historically held beliefs about what constitutes an “ignorable” CL value.

The dimensionality of L2 teacher self-regulation strategies and its interactions with teacher self-efficacy: Exploratory structural equation modeling

Teacher self-regulation plays a critical role in effective teaching and professional success. It is not only deemed to be a path to professional development but also a prerequisite to cultivating students' self-regulatory capacity. However, our understanding of in-service second/foreign language (L2) teachers' self-regulation strategies is insufficient. This study aimed to address gaps in the literature by exploring the factorial structure of self-regulation strategies for teaching among L2 teachers in China. Grounded in sociocognitive theory, we proposed a multidimensional structure of self-regulation strategies for teaching and made methodological innovations by using rigorous statistical methods including exploratory structural equation modeling (ESEM) and bifactor ESEM to measure the construct-relevant multidimensionality of teacher self-regulation strategies. The study collected data from a sample of 242 in-service L2 teachers across 18 universities in various regions of China. Model comparisons confirmed the ESEM model with the best fit, accounting for 12 specific teaching strategies (i.e., organization, elaboration, critical thinking, goal setting, self-evaluation, self-monitoring, motivational self-talk, emotional regulation, interest enhancement, collective teacher commitment, seeking help and resources, and time and environment management). These specific teaching strategies with moderate correlations confirmed the multidimensional structure of teacher self-regulation entailing cognition, metacognition, motivation, and social behavior. In addition, L2 teachers’ self-regulation strategies were closely connected to their sense of efficacy in classroom management, student engagement, and instructional strategies, supporting the criterion validity.