Exploratory Structural Equation Modeling Research Articles

Success in construction management of dams: an empirical study

The current body of research lacks adequate investigation of project success, especially for dam construction projects. Despite the considerable body of research in the field of project management, an empirical examination of the performance of dam projects, which carry substantial economic, social, and environmental impacts, is still lacking. This research attempts to fill the gap by conducting a survey among construction professionals who have experience with dams. Alongside the continuing construction projects to augment and upgrade existing dams, there is currently an unprecedented surge in the number of new dams planned or under construction. This is driven by the energy transition towards achieving net zero targets, with a focus on pumped-hydro schemes as an efficient form of large-scale energy storage. Exploratory factor analysis and structural equation modeling (SEM) are applied to explore critical success factors (CSFs) and success criteria (SC) and their relationships. This paper offers valuable recommendations for professionals to improve project performance and adds to the limited literature on dam construction project success. Construction professionals can optimize their efforts by strategically implementing the project elements presented in this research. This ultimately leads to improved project outcomes, increased efficiency, and lower costs.

Development and psychometric evaluation of the self-care of informal caregivers inventory

BackgroundIn recent years, a growing body of literature on informal caregivers’ health and well-being has emerged, highlighting the need for a tool to measure their self-care practices. ObjectiveThe aim of the study was to develop a theory-based instrument measuring the self-care behaviors of informal caregivers and test its psychometric properties. DesignThe initial phase of instrument development entailed a detailed, six-step process (conceptualization, theoretical adaptation, back-translation and cultural adaptation, cognitive interviewing, item enhancement, and content validity), followed by formal psychometric testing (participant engagement, validity, internal consistency reliability, test-retest reliability). SettingStudy conducted at a hospital located in Tehran, Iran. ParticipantsA sample of 234 informal caregivers of cancer outpatients receiving treatment in oncology wards was enrolled. Caregivers had to be 18 years or older, recognized as the primary caregiver by the patient, and willing to provide informed consent. MethodsThe Self-Care of Informal Caregivers Inventory items comprise three dimensions: self-care maintenance (11 items), self-care monitoring (7 items), and self-care management (9 items), which achieved a content validity index rating of 100 % in a panel of experts. Data were collected from caregivers during routine clinic visits. Construct validity was verified through exploratory structural equation modelling and reliability was verified using Cronbach's α and multidimensional model-based reliability. Test-retest reliability was evaluated using the Intraclass Correlation Coefficient. ResultsAll three dimensions showed good model fit indices (self-care maintenance: Comparative Fit Index = 1.00, Tucker-Lewis Index = 0.99, Root Mean Square Error of Approximation = 0.044; self-care monitoring: Comparative Fit Index = 1.00, Tucker-Lewis Index = 1.00, Root Mean Square Error of Approximation = 0.027; self-care management: Comparative Fit Index = 0.99, Tucker-Lewis Index = 0.99, Root Mean Square Error of Approximation = 0.048) and Cronbach's α of 0.88, 0.88, and 0.91, respectively. The overall multidimensional model-based reliability was 0.93. The Intraclass Correlation Coefficient values for the three dimensions were 0.94, 0.60, and 0.51, respectively. ConclusionPreliminary testing provides support for use of the Self-Care of Informal Caregivers Inventory in research. Using this theory-based instrument to assess the self-care practices of informal caregivers can assist in identifying topics to discuss and opportunities for guidance. Tweetable AbstractThe Self-Care of Informal Caregivers Inventory: A validated tool for informal caregivers is useful for research. #Informalcaregivers #SelfCare

An Updated Validation of Persian Versions of Six Personality Questionnaires: TEMPS-A, AFECTS, TCI, PANAS, NEO-FFI, PDQ-4

Background: The revision and updating of questionnaires are part of the list of comprehensive guidelines for using psychological questionnaires. The present study aimed to test the construct and convergent validity of the Persian versions of six personality questionnaires including the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego-Autoquestionnaire (TEMPS-A: 35 items), the Affective and Emotional Composite Temperament Scale (AFECTS: 48 items), the Temperament and Character Inventory (TCI: 125 items), the Positive Affect and Negative Affect Schedule (PANAS: 20 items), the NEO-Five-Factor Inventory (NEO-FFI: 60 items), and Personality Diagnostic Questionnaire-4 (PDQ-4: 99 items). Methods: The data from four independent samples of Iranian adults ( N1 = 1137, N2 = 558, N3 = 496, N4 = 478; total N = 2669, 70% female, 32.8 ± 10.7 old years) were analyzed by exploratory structural equation modeling (ESEM). Pearson correlations between constructs of the Personality Inventory for DSM-5-Short Form (PID-5-BF: 25 items) or the ICD-11 compatible Personality Inventory for DSM-5–Brief Form Plus, Modified (PID5BF+M: 36 items) and the personality measures were used to evaluate convergent validity. Results: Although the number of factors of TEMPS-A and PDQ-4 were slightly different from the original structures, the results supported the factor structure and reliability (all α between 0.68 and 0.92) of all measures. Most factors of all measures were significantly related to either the PID-5-BF or the PID5BF+M constructs (all P <.05). Conclusion: The findings supported both construct validity and convergent validity of all personality measures in Iranian samples. Mental health professionals can use the Persian version of all valid personality measures to draw personality profiles of adult populations.

The Using Confirmatory Factor Analysis as Construct Validity in Education Research: A Analysis with Biblioshiny

This research aims at bibliometric analysis on the topic of confirmatory factor analysis in the field of education. Researchers used the RStudio and Vosviewer applications to map bibliometrics results. From the results of the analysis that has been carried out, it is concluded that overview of the bibliometric analysis of 203 research documents, published between 1987 and 2023, from various sources in the Scopus database. Publication growth shows an increase of 7.61% every year. In contrast, it saw a peak in growth in 2018, with 24 publications, reflecting significant research interest and focus. The University of Tasmania from Australia dominates with 13 articles. Nurse Education Today was the highest contributing journal, contributing 7 articles, highlighting the important role of nursing in this research. This analysis illustrates the diversity of contributions of researchers from various institutions in Thailand in the exploration of CFA in education. The highest document citation is "(Marsh et al., 2014)" regarding exploratory structural equation models. There are five clusters that discuss CFA in the education sector. There are keywords multivariate analysis, exploratory factor analysis, surveys and questionnaires, reliability, and construct validity as the latest keywords that can be used as recommendations for further research in the field of CFA in education.

A data-driven approach to optimize a sanitary survey for communities in Maputo, Mozambique

ABSTRACT Current approaches to align sanitary surveys to environmental fecal waste indicators have demonstrated limited success, leaving stakeholders focused on fecal waste management with limited and costly tools. We analyzed data from the Maputo Sanitation Project using exploratory factor analysis (EFA) and structural equation modeling (SEM) to enhance the survey's correlation with Escherichia coli concentration data. EFA grouped related survey questions and sampling locations into distinct latent factors. SEM was then used to assess the relationship between the survey latent factors and the mean E. coli concentrations from grouped locations. The results suggested four survey question subgroups: latrine structure, latrine cleanliness, compound/household waste management, and community waste management. In addition, three sampling location subgroups were identified: high-traffic areas (HTAs), food activity locations, and bodily cleaning areas. The largest significant effect size identified suggested that for every 1-unit increase in community waste management, there was a decrease of 1.94 in log10 E. coli per gram of soil in HTAs (p = 0.03), a substantial improvement from the initial 0.50 decrease reported for an expert-weighted metric of all survey questions. These results underscore the importance of community-level waste management and demonstrate the use of a data-driven approach in enhancing environmental health assessments and planning interventions.

Digital Financial Capability Scale

Financial digitization is an irreversible phenomenon. The objective of this study is to construct the Digital Financial Capability Scale (DFCS). Starting with the development of a definition, we created a multidimensional scale composed of digital financial knowledge, digital financial behavior, and digital financial confidence. The validation process involved a qualitative stage, consisting of focus groups, expert validation, and pre-testing, and a quantitative stage, with exploratory and confirmatory factor analyses and structural equation modeling. The DFCS assesses an individual’s perception of their ability to apply financial knowledge, adopt appropriate financial behaviors, and feel confident in making financial decisions in a digital environment. The final version of the DFCS consists of a set of 33 items divided into the three dimensions. The scale can be very useful for researchers who wish to study financial capability in the digital environment, for financial agents to evaluate clients, and for assessing the outcomes of public policies aimed at enhancing the financial capability of the population.

The relationship between socioeconomic status, medical accessibility, hope and psychological resilience of caregivers of children with chronic kidney disease in China: structural equation model

BackgroundChronic kidney disease (CKD) is the third most common cause of death after cancer and heart disease. The continuous treatment of children with CKD was greatly challenged during the COVID-19 pandemic, which significantly impacted the CKD children’s prognosis and the caregivers’ psychological status. However, the influence mechanism of socioeconomic status, medical delay duration, traffic pressure, and online consultation duration on caregivers’ hope and psychological resilience still lacks relevant evidence.MethodsThis study investigated the general social information, hope, and psychological resilience of 247 caregivers with CKD in 13 provinces of China in March 2020. Factor analysis and an exploratory Structural Equation Model ( SEM ) were used to find the best-fit model, and Bootstrapping was used to calculate the 95% CI of indirect effects.ResultsThe factor analysis obtained four common factors, namely, socioeconomic status (annual family income, education, and career stability), medical accessibility (online consultation duration, medical delay duration, and traffic pressure), hope (positive attitude, positive action, and intimate relationship) and psychological resilience (optimism, tenacity, and strength), with the cumulative contribution rate of 65.34%. Bootstrapping obtains the socioeconomic status β = 0.30 (95% CI [0.14, 0.47], P = 0.002), medical accessibility β = 0.31 (95% CI [0.12, 0.47], P = 0.002), and hope β = 0.40 (95% CI [0.27, 0.52], P = 0.002) has a direct impact on psychological resilience of CKD children caregivers, followed by medical accessibility β = 0.20 (95% CI [0.10, 0.38], P = 0.001) and hope β = 0.23 (95% CI [0.16, 0.32], P = 0.001) plays a mediating role between socioeconomic status and psychological resilience. The indirect impact effect β = 0.35 (95% CI [0.25, 0.50], P = 0.001) is greater than the direct impact effect β = 0.30 (95% CI [0.14, 0.47], P = 0.002).ConclusionsSufficient attention should still be given to children with immunodeficiency after the COVID-19 pandemic, such as CKD, to avoid infection of deadly. Secondly, the government should vigorously develop Primary medical institutions to ensure efficient treatment of severe patients in tertiary hospitals; Finally, the professional literacy of medical workers in remote diagnosis and treatment should be improved to enhance the country’s emergency response capacity for similar major public events and the requirements for normalised epidemic prevention and control.

Investigating the mediating role of green performance measurement systems in the nexus between green intellectual capital and environmental performance

Purpose This study aims to propose and examine a conceptual model that shows how green performance measurement systems (GPMS) mediate the relationship between green intellectual capital components and environmental performance. Design/methodology/approach The research surveyed 407 Vietnamese publicly listed companies to gather empirical data. Then, the exploratory factor analysis (EFA) and structural equation modeling (SEM) are used to examine the degree of emphasis firms place on using GPMS to transform green intellectual capital into firm value. Findings The results indicate that both green human capital and green organizational capital have a direct positive impact on environmental performance. On the contrary, the influence of green social capital on environmental performance was found to be indirect through the mediation of GPMS. Practical implications GPMS can be considered a tool that helps managers renew, develop and synchronize their systems to take advantage of green resources in environmental performance improvement. Social implications The effective assimilation of GPMS within industrial entities holds the potential to mitigate air pollution and hazardous waste, thereby ameliorating social conditions for both employees and the neighboring community. Besides that, proficient implementation of GPMS enhances collaborative efforts within the industrial sphere, yielding collective societal benefits. Originality/value This study emphasizes the importance of aligning green intellectual capital with appropriate control mechanisms, such as performance measurement systems, to maximize the benefits derived from these capital resources. The findings provide insights for organizations seeking to enhance their environmental performance and sustainability practices by effectively using their intellectual and social capital while implementing robust measurement systems.

What Emotion Regulation Strategies are Associated with a General Psychopathology Factor (p) in Adolescence? Identifying Possible Transdiagnostic Targets for Intervention.

Mental health problems in adolescence are increasing and there is an urgent call for transdiagnostic interventions, as most adolescents experience problems across multiple domains. Research has identified a general psychopathology factor (p) capturing the shared variance across mental health problems. In parallel, there is empirical support for the transdiagnostic nature of emotion regulation. In the current study, we explore the associations between p and emotion regulation strategies to identify which strategies may be promising targets for intervention. Data from the population-based Youth and Mental Health Study (YAMHS) (N = 2,464, mean age 13.7years, SD 0.6) was used. The fit of different structural models of emotion regulation and psychopathology were compared, and latent factors from the final models were included in multiple regression analyses to explore the associations between p and emotion regulation strategies. A bifactor exploratory structural equation model (B-ESEM) showed best fit for modelling p. For emotion regulation strategies, an ESEM model showed best fit, including Rumination, Reactive Impulsivity, Distraction, Non-Acceptance, Problem Solving, Social Support, and Proactive Behavior. Results showed that a higher score on p was predicted by higher scores on the emotion regulation strategies Rumination (β = .38, p < .001) and Reactive Impulsivity (β = .35, p < .001), and lower scores on Problem Solving (β = -.15, p < .001). The results indicate that Rumination and Reactive Impulsivity have the strongest associations with p and may be promising targets for mental health interventions for adolescents.

Validation of the Social Reactions-Online Questionnaire Among Adults Who Disclosed Online Victimization Via #MeToo.

The #MeToo movement of 2017 ushered in a wave of online disclosure of sexual victimization. The ways in which people respond to the disclosure of sexual victimization can play an important role in a survivor's recovery process. This study conducted an exploratory structural equation model (ESEM) of a questionnaire aimed at characterizing the ways in which others respond to the disclosure of sexual victimization in online spaces. Participants (N = 767) were recruited via social media to participate in a study of disclosure of unwanted sexual experiences, with 25.4% (n = 195) endorsing disclosing an unwanted sexual experience online using the hashtag #MeToo and were included in analyses. Participants completed the Online Social Reactions Questionnaire (OSRQ). The questionnaire included all 16 original items from the Short Version of the Social Reactions Questionnaire (SRQ). An additional 8 items specific to online disclosure, not covered by the SRQ were added at the end, bringing the proposed OSRQ to a total of 24 items. The updated measure included the 16 original items of the Short Version of the SRQ as well as 8 additional items, for a total of 24 items. ESEM confirmed the OSRQ as a 23-item measure with a four-factor structure: (a) Turning Against+, (b) Unsupportive Acknowledgment, (c) Positive Support+, and (d) Online Sharing; model fit: χ2(186) = 387.125, p < .001, CFI = 0.976, RMSEA = 0.074 (90% CI [0.064, 0.085]), SRMR = 0.034. The OSRQ revealed excellent Cronbach's alpha (α = .93) and McDonald's Omega (ω = .93). The OSRQ represents a new measure that can be used to characterize the way in which others respond to online disclosure of sexual victimization.

Florence Bullying-Victimization Scales: Validation Study and Victimization Associations With Well-Being and Social Self-Efficacy

This study provides a thorough psychometric evaluation of construct and criterion validity and measurement invariance of the promising Florence Bullying-Victimization Scales (FBVS). A special focus was devoted to the concurrent criterion validity of the victimization scale with regard to well-being and social self-efficacy. Exploratory and confirmatory multidimensional item response theory and structural equation modeling were applied to cross-sectional data retrieved from 3rd to 6th-grade Czech primary school students ( N = 1795; 49% female; M age = 10.42, SD = 1.25). The results supported the use of unidimensional factor structure that demonstrated acceptable model fit and measurement invariance across genders and grades. Moderate to high correlations of the FBVS scores with bullying and victimization measured by the Olweus Bully/Victim Questionnaire and other instruments indicated very good convergent validity. Regarding criterion validity, higher victimization was associated with lower levels of well-being and social self-efficacy.

A Psychometric Evaluation of the Achievement Emotion Questionnaire - Short Version in the Context of Italian Physical Education.

Emotional states are fundamentally related to cognitive processes such as attention, perception, memory and learning, and they play a very important role in helping to assess daily challenges. Thus, we need tools that measure emotions in the context of Physical Education. In this study, we adapted and tested the factor structure of the Achievement Emotion Questionnaire - Short Version (AEQ-SV) in the Italian physical education context. We administered the AEQ-SV to 867 participants (M age = 16.43 years, SD = 1.23) enrolled in Italian physical education classes to analyze the questionnaire's psychometric properties using Exploratory Structural Equation Modeling (ESEM), an internal reliability analysis, and a criterion validity analysis. The AEQ-SV subscales consisted of eight emotions and 32 items. Reliability analyses revealed acceptable fit indices and adequate temporal stability. Linear regression analysis showed that positive emotions positively predicted academic performance, while negative emotions negatively predicted academic performance. These results are in line with research on the original scale, and these data support the use of the AEQ-SV in the Italian educational context.

Dimensionality of instructional quality in physical education. Obtaining students' perceptions using bifactor exploratory structural equation modeling and multilevel confirmatory factor analysis.

In research on instructional quality, the generic model of the three basic dimensions is an established framework, which postulates that the three dimensions of classroom management, student support and cognitive activation represent quality characteristics of instruction that can be generalized across subjects. However, there are hardly any studies that examine if the three basic dimensions model could represent a suitable approach to measure instructional quality in physical education. Based on an extended model of the basic dimensions, a measurement model of instructional quality for physical education is presented, which integrates different theoretical approaches from the fields of educational and psychological research as well as different subfields of sports science in order to test the factorial structure of the corresponding measurement model. 1,047 students from 72 seventh to ninth grade classes from different German-speaking Swiss cantons participated in the study. The conceptualization of the instrument is based on a hybrid approach that integrates generic and subject-specific characteristics. The simultaneous analysis at the individual and class level using MCFA was supplemented by more complex methodological techniques within the relatively new B-ESEM framework at the individual level. The postulated five-factor structure was initially tested using ICM-CFA and showed a good model fit (e.g., χ2/df = 2.32, RMSEA = 0.03, CFI = 0.97, TLI = 0.97, SRMR = 0.04). MCFA revealed a differential factorial structure at both levels of analysis with five factors at the individual level and four factors at the class level (e.g., χ2/df = 2.23, RMSEA = 0.03, CFI = 0.96, TLI = 0.96, SRMR within = 0.04, SRMR between = 0.10). ESEM and B-ESEM outperformed the ICM-CFA and showed an excellent model fit (B-ESEM: χ2/df = 1.19, RMSEA = 0.01, CFI = 1.00, TLI = 1.00, SRMR = 0.01). Inter-factor correlations and factor loadings are largely in line with expectations, indicating arguments for construct validity. The study represents a substantial contribution in linking physical education and the generic research on instructional quality. Overall, strong arguments for the factorial structure of the measurement model were demonstrated. The study can be interpreted as a first step in a multi-step procedure in terms of further validity arguments.

The Depression Anxiety Stress Scales for Youth (DASS-Y): evidence of validity and cross-national and gender measurement invariance.

The Depression Anxiety Stress Scales for Youth (DASS-Y) is a recently developed measure of unpleasant emotional experiences for children and adolescents; however, the evidence for its validity is still limited. The present study evaluated the evidence for the structural, convergent, and incremental validity of the DASS-Y on a sample of Serbian adolescents aged 15-19 years (N = 421; 48% female, mean age = 16.86). Measurement invariance across gender and two countries (Serbia and Australia) was also tested. The findings supported the bifactor exploratory structural equation modeling (bifactor-ESEM) representation of the DASS-Y, which includes the General factor of negative affect/emotional distress, and three specific factors of Depression, Anxiety, and Stress. The DASS-Y factors showed evidence of incremental validity in predicting global externalizing symptoms and demonstrated convergent validity in relation to measures of global internalizing and externalizing symptoms as well as subjective well-being. The bifactor-ESEM model of the DASS-Y was found to be invariant across gender and two countries. The present study findings highlight the importance of distinguishing between general and specific components of unpleasant emotional states.

Adaptation and validation of the Moroccan dialect version of the nomophobia questionnaire (NMP-Q): Among university students

The fear of being without a mobile phone, known as nomophobia, is a new psychological issue that has arisen with the widespread use of information and communication technologies. To understand this phenomenon, more research is needed. The present study aimed to assess the factor structure of the Moroccan dialect version of the Nomophobia Questionnaire (NMP-Q) among a sample of Moroccan university students. The study included 400 students selected by convenience sampling from two universities (Fez and Rabat). First, an Exploratory Factor Analysis (EFA) was conducted using the principal component method with Varimax rotation. Then, a Confirmatory Factor Analysis (CFA), and Exploratory Structural Equation Modeling (ESEM) were carried out. The results showed that a 20-item, four-factor model was the best fit for the data collected from the sample, indicating cross-cultural validity and the robustness of the NMP-Q's structure. This suggests that the Moroccan version of the NMP-Q is useful for assessing nomophobia behavior among Moroccan university students.

Entrapment in the military context: Factor structure and associations with suicidal thoughts and behaviors.

Improved understanding of how US service members transition from chronic/baseline to acute suicide risk is warranted. One such model, the Integrated Motivational Volitional Model of Suicide, posits entrapment as central to this process. However, entrapment has not been extensively investigated within military populations. This study examines the factor structure, reliability, and predictive validity of the Entrapment Scale (E-Scale) within a military population. Exploratory structural equation modeling (SEM) and confirmatory factor analysis compared one- versus two-factor structures of the E-Scale. Autoregressive SEM assessed if E-Scale scores predicted suicidal ideation and suicide attempt likelihood at 6- and 12-month follow-up, and examined whether the impact of entrapment was moderated by social support (i.e., appraisal, tangible, and belonging). Results favored a two-factor solution (external and internal) of entrapment. The relationship between entrapment and suicide outcomes was moderated by perceived social support but in unexpected directions. Unexpectedly, social support strengthened the relationship between external entrapment and suicide outcomes for most models. Only tangible support moderated the relationship between internal entrapment (IE) and suicide outcomes as predicted. IE is linked with suicidal ideation in the short-term, whereas external entrapments relationship with suicide outcomes may reflect more persistent social challenges for military members.

The Role of Writing Enablers on Writing Proficiency among Hispanic Students

This study examined the contribution of three writing enabling skills (i.e., feedback perception, self-efficacy, and self-regulation) on writing performance among Hispanic students. Participants were 261 students in grades 3-5. Approximately 60% of students were Emerging Bilingual (EB) enrolled in dual language programming. Students completed writing enablers scales and three writing compositions. EB students were classified in proficiency levels based on state-mandated language assessment scores. Factor structure of the writing enablers scales deviated from the original measures. Using Exploratory Structural Equation Modeling, we found that, while feedback perception was not related to writing, self-efficacy and self-regulation significantly predicted writing outcomes, though in opposite directions. Students with different English proficiency showed significant differences in self-efficacy but not feedback perception and self-regulation. Results showed that students with higher writing self-efficacy exhibited better writing performance. Students more proficient in English had stronger self-efficacy, with highly advanced EB students reporting the highest scores. Impact Statement This study examined the role of three writing enablers for successful writing performance among Hispanic students, with a majority of the sample classified as Emerging Bilingual. Findings showed that self-efficacy for writing emerged as a strong predictor of writing proficiency. This is particularly relevant for EB students, as they exhibited large differences in self-efficacy levels across varying levels of linguistic proficiency. Educators can leverage this information to effectively support student beliefs about their writing abilities, which in turn may lead to improved writing outcomes.

Psychometric evaluation of the Chinese version of the Academic Resilience Scale-30 (C-ARS-30) in college students.

Amidst the expansion of student enrollment in higher education, the well-being and retention rates of students have emerged as important concerns. Resilience, especially academic resilience, a multidimensional construct that can lead to academic success in adversity, is pivotal in enabling students to successfully cope with academic challenges. While the Academic Resilience Scale-30 (ARS-30) has been validated as an effective instrument in various languages, its applicability for Chinese students in higher education remains unexplored. This study aims to translate and validate the ARS-30 in Chinese, assessing its reliability and validity among Chinese college students in higher education. A convenience sample of 1,542 students participated in this study. The inventory included the demographic form, Chinese version of ARS-30 (C-ARS-30), 10-item Connor Davidson Resilience Scale (CD-RISC-10), and General Self-Efficacy Scale (GSES). The assessment of validity was conducted by analyzing content validity, construct validity, convergent and discriminant validity, as well as criterion-related validity. Construct validity was evaluated through Confirmatory Factor Analysis (CFA), Exploratory Factor Analysis (EFA) and Exploratory Structural Equation Modeling (ESEM). Reliability analysis was performed using Cronbach's alpha and test-retest reliability. The C-ARS-30 demonstrated commendable content validity, with the CVI value of items ranging from 0.833 to 1.000, and a total scale CVI of 0.986. ESEM analysis revealed a solid four-factor structure, maintaining the scale's 30 items with excellent fit indices (χ2/df = 2.647, CFI = 0.937, TLI = 0.915, RMSEA = 0.057, SRMR = 0.027). The total score of C-ARS-30 exhibited positive correlations with the CD-RISC-10 (r = 0.542) and the GSES (r = 0.488). The scale demonstrated high internal consistency (Cronbach's α = 0.930) and test-retest reliability (0.794, p < 0.01). The C-ARS-30 is a reliable and valid instrument for assessing academic resilience among Chinese college students, offering a valuable tool for educational and psychological evaluations.

Validity and Reliability of the Chinese Version of Digital Hoarding Scale

Objectives: To facilitate research on digital hoarding in China, this study evaluated the psychometric properties of the Digital Hoarding Scale (DHS). Methods: A total of 618 participants were recruited through an online survey. The factorial structure, measurement invariance (MI), reliability, and validity of the DHS were tested. Results: The Chinese version of DHS was best represented by a bifactor exploratory structural equation modeling representation, which contains one general factor and three specific factors. The MI of the DHS was established across gender and age groups. Reliabilities of the specific and general factors were demonstrated by high values of omega coefficients. Moreover, the criterion validity was supported by the positive associations between DHS and physical hoarding disorder, obsessive-compulsive disorder, and anxiety. Conclusions: The DHS is a reliable tool for future studies investigating digital hoarding in Chinese.

Psychopathic Traits in Adult versus Adolescent Males: Measurement Invariance across the PCL-R and PCL:YV.

Both the Psychopathy Checklist-Revised (PCL-R) and the Psychopathy Checklist: Youth Version (PCL:YV), respectively, are established instruments for assessment of psychopathy and development of psychopathic propensity. To reliably compare scores from both instruments, measurement invariance must be established. The current study involved a combined sample of 1091 male participants (adults = 813; adolescents = 278) from correctional facilities in New Mexico. An exploratory structural equation modeling (ESEM) framework was used to test for measurement invariance. The four-factor ESEM model demonstrated good fit for the combined and individual samples. Results from the multiple group ESEM provide evidence for generally strong invariance, with equivalent factor loadings and thresholds. Adolescents exhibited decreased latent interpersonal traits but increased latent features on other PCL factors (affective, lifestyle, and antisocial) compared to adults. Findings suggest that the four-factor model and the measurement of psychopathic traits remain consistent across age groups. Implications of the findings within research and clinical contexts are discussed.