Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial

Assessing the dimensions and structure of thwarted interpersonal needs

INTRODUCTION

The Interpersonal Needs Questionnaire-15 (INQ-15) assesses interpersonal needs comprising suicidal desire based on the Interpersonal Theory of Suicide (IPTS): Thwarted belongingness (TB) and perceived burdensomeness (PB). The IPTS is applied to many psychological-affective states and disorders, collectively showing state-specific pathways to suicidal features. Given the prevalent application of the IPTS, determining how the constructs are comprised and operate is critical. Consistent with the network perspective of psychological constructs, we used network and algorithmic methods to evaluate thwarted interpersonal needs.

METHODS

A sample (N = 863) aggregated from two independent studies (Sokol & Serper, 2019; Sokol et al., 2023) was used for analysis.

RESULTS

Network analysis identified three dimensions that were invariant by suicide-risk status: PB, and two dimensions from the TB items. Accounting for wording effects, one-dimensional structures presented in 9 %-23 % of replicates. The loadings comparison test algorithm suggested that the constructs were consistent with a network composition (over latent), and centrality indices identified meaningful strong and bridge features.

LIMITATIONS

The samples were demographically homogeneous, and more diverse samples in terms of sexuality, racial/ethnic identification, culture, and socioeconomic status might yield different findings.

CONCLUSION

Findings indicate that thwarted interpersonal needs are comprised of perceived burdensomeness, loneliness, and absence of reciprocal care dimensions and that loneliness-related experiences may be mechanisms by which PB and TB-related experiences co-occur. Additionally, results showed that the INQ-15 may have previously unquantified method effects, but the overall identified dimensions are stable. These results yield a nuanced conceptualization of interpersonal needs and their function.

Examination of ChatGPT's Performance as a Data Analysis Tool

This study examines the performance of ChatGPT, developed by OpenAI and widely used as an AI-based conversational tool, as a data analysis tool through exploratory factor analysis (EFA). To this end, simulated data were generated under various data conditions, including normal distribution, response category, sample size, test length, factor loading, and measurement models. The generated data were analyzed using ChatGPT-4o twice with a 1-week interval under the same prompt, and the results were compared with those obtained using R code. In data analysis, the Kaiser-Meyer-Olkin (KMO) value, total variance explained, and the number of factors estimated using the empirical Kaiser criterion, Hull method, and Kaiser-Guttman criterion, as well as factor loadings, were calculated. The findings obtained from ChatGPT at two different times were found to be consistent with those obtained using R. Overall, ChatGPT demonstrated good performance for steps that require only computational decisions without involving researcher judgment or theoretical evaluation (such as KMO, total variance explained, and factor loadings). However, for multidimensional structures, although the estimated number of factors was consistent across analyses, biases were observed, suggesting that researchers should exercise caution in such decisions.

A Multilayer Network Model for Motor Competence from the View of the Science of Complexity

Motor competence is related to a large number of correlates of different natures, forming together a system with flexible parts that are synergically and cooperatively connected to produce a wide range of motor outcomes that cannot be explained from a predetermined linear view or a unique mechanism. The diversity of interacting correlates, the various connections between them, and the fast changes between assessments at different time points are clear barriers to the study of motor competence. In this manuscript, we present a multilayer framework that accounts for the theoretical background and the potential mathematical procedures necessary to represent the non-linear, complex, and dynamic relationships between several underlying correlates that emerge as a motor competence network. Exploring motor competence from a new perspective that could be operationalized through multilayer networks seems promising, and allows more accurate inspection and representation of its topology and dynamics. This new perspective might also improve the understanding of motor competence structure and functionality over the developmental course. The use of the proposed approach could open up new horizons for the broad literature comprising motor competence.

Dimensional Validation of the Italian Revised Version of the Children's Sleep Habits Questionnaire (CSHQ-r) for Children and Adolescents with ASD

Sleep problems are common in children with autism spectrum disorder (ASD), with potential repercussions on neurobehavioral functioning exacerbating socio-communicative impairments and aggressive behaviors. Parent reports are the most used method to assess sleep in pediatric populations and a modified 23-item of Children's Sleep Habits Questionnaire (CSHQ) for ASD has been proposed in the United States. The generalizability of the CSHQ for ASD has yet to be validated across countries, including Italy. To extend the CSHQ applicability to Italian youth with ASD, we back-translated to Italian and revised the 23-item CSHQ, validating its dimensional structure in a sample of children and adolescents with ASD using Explorative Graph Analysis. In addition, we compared the revised scale scores of the ASD group with a typically developing (TD) group. The revised Italian version of the CSHQ (CSHQ-r) consisted of a 15-item tool with a four-dimension structure (Sleep initiation/duration, Sleep anxiety/Co-sleeping, Night awakenings/Parasomnias, and Daytime alertness) with good structural stability. Group comparison indicated significantly higher scores in the ASD group than the TD group, suggesting greater prevalence of sleep disturbances in ASD. The four-dimensional CSHQ-r may represent a useful screening tool to assess sleep disorders in Italian children and adolescents with ASD, with potential implications for clinical practice.

Demoralization's link to depression and anxiety symptoms: A network analysis

Demoralization represents a clinical syndrome conceptualized as maladaptive coping to a stressor associated with discouragement, feelings of hopelessness, helplessness, and a loss of meaning in life. It is a prevalent comorbidity in individuals with severe physical illnesses and affects a substantial proportion of the general population when facing global stressors like the COVID-19 pandemic. The main aim of the study was to test whether demoralization and features of depression and anxiety might reflect distinct entities within the general population, specifically in older adults, and to explore symptom interconnections, using a network psychometrics approach. The revised demoralization scale (DS-II) and the patient health questionnaire 4 (PHQ-4) were applied to a representative sample (N = 2434) from the German general population. Network structures were analyzed using exploratory graph analysis (EGA) to identify the most distinct symptom groupings and their relationships. Stability of networks and symptom groupings was tested using bootstrap procedures. EGA revealed unidimensionality within younger adulthood and a four-factor solution within older adults, reliably distinguishing PHQ-4 and DS-II items. The most central features of the network were worthlessness, pointlessness, helplessness, feeling trapped and low mood. Suicidal ideation was more closely related to DS-II worthlessness than to PHQ-4 items. The cross-sectional design and using PHQ-4 instead of more comprehensive measures of depression and anxiety were limitations. In conclusion, in general population, demoralization symptoms can be distinguished from lack of interest or pleasure and low mood. It might represent a valid psychological construct beyond clinical populations. Further investigation of diagnostic implications is encouraged.

Development and Validation of a Brief Warzone Stressor Exposure Index

Existing scales mainly focus on danger-based threats of death and bodily harm to assess exposure to traumatic events in war zone. However, major provocations and transgression of deeply held values and moral beliefs, as well as witnessing the suffering of others can be as traumatic as fear-inducing danger-based events. This raises the need for scales that assess both danger- and nondanger-based events among soldiers operating in modern war zones. Norwegian military personnel deployed to Afghanistan between late 2001 and end of 2020 were invited to participate in a cross-sectional survey with a final sample size of 6,205 (males: n = 5,693; 91.7%; mean age = 41.93 years). We applied data reduction techniques (e.g., exploratory factor analysis, EFA, and exploratory graph analysis, EGA, through a community detection algorithm) to develop a 12-item, three-factor model (personal threat, traumatic witnessing, and moral injury) of the Warzone Stressor Exposure Index (WarZEI). Confirmatory factor analysis showed support for the factor model, with evidence of concurrent, discriminant, and incremental validity. These results indicate the WarZEI is a reliable and valid measure for assessing exposure to warzone stressors that allows for heterogeneity and the multidimensional nature of exposure to warzone stressors.

Comparing Accuracy of Parallel Analysis and Fit Statistics for Estimating the Number of Factors With Ordered Categorical Data in Exploratory Factor Analysis

Determining the number of factors in exploratory factor analysis (EFA) is crucial because it affects the rest of the analysis and the conclusions of the study. Researchers have developed various methods for deciding the number of factors to retain in EFA, but this remains one of the most difficult decisions in the EFA. The purpose of this study is to compare the parallel analysis with the performance of fit indices that researchers have started using as another strategy for determining the optimal number of factors in EFA. The Monte Carlo simulation was conducted with ordered categorical items because there are mixed results in previous simulation studies, and ordered categorical items are common in behavioral science. The results of this study indicate that the parallel analysis and the root mean square error of approximation (RMSEA) performed well in most conditions, followed by the Tucker-Lewis index (TLI) and then by the comparative fit index (CFI). The robust corrections of CFI, TLI, and RMSEA performed better in detecting misfit underfactored models than the original fit indices. However, they did not produce satisfactory results in dichotomous data with a small sample size. Implications, limitations of this study, and future research directions are discussed.

Development and Validation of Technology-Facilitated Sexual Violence Perpetration and Victimization Scales Among Adults

Technology-facilitated sexual violence (TFSV) includes different forms of digital violence, such as online gender-based violence, online gender- and sexuality-based violence, digital sexual harassment, online sexual coercion, and nonconsensual pornography. The aim of this study was to design and validate a measure to assess the perpetration and victimization of each dimension of TFSV. The relationships between the different dimensions and differences by gender and sexual orientation were also analyzed. The participants were a sample of 2,486 adults (69% women) from Spain, aged between 16 and 79 (M = 25.95; DT = 9.809) years. The Technology-Facilitated Sexual Violence Scales were found to be valid and reliable instruments, supporting our recommendation for the use of these scales. Network analysis and solution-based exploratory factor analyses showed that the dimensions of online sexual coercion and nonconsensual pornography clustered together. All the perpetration variables were related to sexism. Finally, cis women and nonheterosexual people reported higher victimization scores overall compared to cis men and heterosexuals, respectively, while cis men reported higher perpetration scores overall than cis women.

Validation and structural exploration of the Chinese version of the Body Talk Scale

The Body Talk Scale (BTS) measures both negative body talk (including fat talk and muscle talk) and positive body talk across genders. In this study, we translated it into Chinese and assessed its structure, reliability and validity among mainland Chinese residents. Item analyses indicated that no item deletion was necessary for this study, and both exploratory factor analysis (n = 1853) and exploratory graph analysis (n = 1583) supported the three-factor structure of the original scale. Confirmatory factor analysis showed that the scale had a good model fit with CFI= 0.95, GFI= 0.93, TLI= 0.94, and RMSEA= 0.079(90 %CI [0.075, 0.084]). The results also showed that the Chinese version of the BTS had adequate criterion-related validity，internal consistency and six-week test-retest reliability. Meanwhile, the scale has good measurement invariance with respect to gender and can be tested for gender differences. In conclusion, the BTS showed sufficient psychometric properties in a Chinese sample, making it a valid instrument for studying body talk and health status in Chinese populations.

Multiple pathways to suicide: A network analysis based on three components of psychological pain

BACKGROUND

Psychological pain is a multidimensional structure that has long been recognized as an important risk factor for suicidal ideation and behavior. The roles of interactions among psychological pain subfactors at different stages of suicidality remain unclear.

METHODS

A relatively large sample of outpatients with major depressive disorder (N = 501) was recruited to complete the Three-Dimensional Psychological Pain Scale (TDPPS). Exploratory graphical analysis (EGA) was conducted to explore the factor structure of TDPPS, thereby ensuring that the psychological pain subfactor was measured accurately. Network analysis included all TDPPS items, depression, passive suicidal ideation (PSI), active suicidal ideation (ASI), and history of suicidal action (SA) to identify key loops of suicidality.

RESULTS

EGA disclosed a three-factor structure of TDPPS comprising cognitive, affective, and motivational factors. Network analysis revealed that items of motivational factors, but none of the items of cognitive and affective factors, were directly linked to PSI, ASI, and SA. Furthermore, three communities were identified by a "walktrap" algorithm. Depression and cognitive factor coalesced into a 'cognitive' community, affective factor constituted an 'affective' community, and motivational factor, PSI, ASI, and SA comprised a 'suicidal' community.

LIMITATIONS

This study used a cross-sectional design that cannot provide information on causal relationships among variables in the network.

CONCLUSIONS

Psychological pain avoidance may be a direct driver of suicidality, and therefore its assessment and intervention in clinical practice is necessary.

Validation of the 10-Item Social Provision Scale (SPS-10): Evaluating Factor Structure, Reliability, Measurement Invariance, and Nomological Network Across 38 Countries

The 24-item Social Provision Scale is among the most frequently used self-report scales to assess perceived social support. A shortened 10-item version (SPS-10) with promising psychometric properties has been proposed. However, so far only a few studies in specific cultural contexts investigated its psychometric properties. Thus, the aim of the current study was an extensive investigation of the psychometric properties of the SPS-10 among 38 countries (N = 88,857 respondents) using the COVIDiSTRESS Global Survey data. Item response theory bifactor analysis revealed that the general factor accounts for the largest part of the covariance among the items in all countries (explained common variance ≥ .75) and that the mean/sum score of the SPS-10 can be used as a total score of perceived general social support. Reliability was high for all countries (ρunidimensional GRM ≥ .89). Measurement invariance and differential item/test functioning analysis of the unidimensional graded response model indicated negligible differential test functioning across countries. The association with the external criteria mainly supported its construct validity. The SPS-10 is a psychometrically sound measure of perceived social support for large-scale cross-cultural studies.

Psychometric and network analysis of kinesiophobia in Iranian surgical patients

Kinesiophobia, the fear of movement, can significantly impede an individual's ability to engage in daily activities. This fear often stems from past traumatic experiences or witnessing others in pain, leading to an increased fear of injury. This study aimed to evaluate the psychometric properties of the Persian version of the Tampa Scale for Kinesiophobia among Iranian post-surgery patients. A methodological study conducted in 2023 involved a sample of 400 post-surgery patients selected through convenience sampling. The translated scale underwent psychometric evaluation, including network analysis, exploratory and confirmatory factor analysis for construct validity, as well as assessments for convergent and discriminant validity. Internal consistency of the scale was also assessed. The mean age of the participants was 44.38 (SD = 13.49) years and the majority of them (77.8%) were women. Exploratory factor analysis with Promax rotation identified two factors explaining 60.28% of the variance, comprising 17 items. The final model was confirmed after necessary adjustments in confirmatory factor analysis. Both convergent and discriminant validity were established, and alpha and omega coefficients of the subscales were above 0.7. The Persian version of the Tampa Scale for Kinesiophobia showed robust psychometric properties among Iranian post-surgery patients, serving as a valuable tool for evaluating and addressing kinesiophobia in this population. These findings enhance the understanding and management of kinesiophobia within the Iranian healthcare context.

Evidence of validity of the Head-Toes-Knees-Shoulders Revised (HTKS-R) for Brazilian children

This study aims to examine the reliability and validity of the Head-Toes-Knees-Shoulders Revised (HTKS-R) as a measure of self-regulation in Brazilian children aged 3-5. The early childhood period is crucial for laying the foundations for personal, social and cognitive functioning, influencing development throughout life. Self-regulation, a malleable construct, plays a vital role in academic performance and behaviors throughout life. The HTKS-R, a widely used measure, assesses behavioral self-regulation, including cognitive flexibility, working memory and inhibitory control. The study included 379 children between the ages of 3 and 5 from a variety of backgrounds. Data were collected using the HTKS-R, a standardized self-report measure that integrates executive functions into a game to assess self-regulation. Exploratory Graphical Analysis (EGA) and Confirmatory Factor Analysis (CFA) were employed to analyze the data. The results of the EGA and BootEGA indicated a unidimensional structure for the HTKS-R, confirming its internal consistency and stability. The CFA supported the fit of the unidimensional model, demonstrating the test's construct validity. The HTKS-R showed factorial invariance between genders. The results suggest that the HTKS-R is a reliable and valid measure of self-regulation in Brazilian children aged 3-5. The applicability of the test in different age groups and environments provides valuable information about children's self-regulation skills. The study contributes to the literature by validating the HTKS-R in the Brazilian context and highlights its potential for assessing self-regulation in diverse populations.

A behavioural exploration of language aptitude and experience, cognition and more using Graph Analysis

Language aptitude has recently regained interest in cognitive neuroscience. Traditional language aptitude testing included phonemic coding ability, associative memory, grammatical sensitivity and inductive language learning. Moreover, domain-general cognitive abilities are associated with individual differences in language aptitude, together with factors that have yet to be elucidated. Beyond domain-general cognition, it is also likely that aptitude and experience in domain-specific but non-linguistic fields (e.g. music or numerical processing) influence and are influenced by language aptitude. We investigated some of these relationships in a sample of 152 participants, using exploratory graph analysis, across different levels of regularisation, i.e. sensitivity. We carried out a meta cluster analysis in a second step to identify variables that are robustly grouped together. We discuss the data, as well as their meta-network groupings, at a baseline network sensitivity level, and in two analyses, one including and the other excluding dyslexic readers. Our results show a stable association between language and cognition, and the isolation of multilingual language experience, musicality and literacy. We highlight the necessity of a more comprehensive view of language and of cognition as multivariate systems.

The rubber hand illusion questionnaire: An exploratory graph analysis of ownership, referral of touch, and control statements

The rubber hand illusion is a well-known experiment that allows manipulation of one's own body experience. The original questionnaire gauges both the illusion experience and unforeseen experiences acting as control statements. In particular, two statements pertain to the referral of touch originating from the rubber hand (RoT), and one concerns the feeling of ownership of the rubber hand (SoO). Despite its prominence, the rubber hand illusion questionnaire has not undergone thorough examination of its psychometric properties. The literature reveals a tendency to use RoT and SoO statements interchangeably. In this study, we employed Exploratory Graph Analysis to explore the item structure and compared the correlation between SoO and RoT items in various conditions. While SoO and RoT are closely linked, our findings suggest potential separation. SoO and RoT statements consistently correlate, yet hints emerge that RoT might represent a distinct facet of the illusion. Correlations diminish beyond the perihand space, indicating a nuanced relationship. Additionally, moderate relationships between control statements and those measuring the illusion suggest that even control statements are modulated by the illusion experience. This study underscores the need for further exploration into the psychometric properties of body illusion questionnaires, prompting reflections on the interpretation in light of these results.

The Chinese version of the 8-item Center for Epidemiologic Studies Depression Scale: Longitudinal psychometric syntheses with 10-year cohort multi-center evidence in an adult sample

OBJECTIVE

To evaluate cross-sectional (CMI), longitudinal (LMI), and cross-measurement invariance (C-LMI) of the Chinese version of the 8-item Center for Epidemiologic Studies Depression Scale (CES-D 8) and reconfirm other properties for measuring depression construct.

METHODS

11,479 Chinese adults from China Family Panel Studies were enrolled and randomly split into two halves. The exploratory half was used to reidentify the structures of the CES-D 8 by bootstrap exploratory graph analysis (bootEGA) and the confirmatory half was used to compare and choose the structure by confirmatory factor analysis (CFA).

RESULTS

The original two-factor model was found satisfactory as the solution for the Chinese CES-D 8 because of the relatively best fit. The CMI, LMI, and C-LMI were supported within groups of gender, age, marital status, and time with indices that have met the expectations. The Chinese CES-D 8 also showed sufficient internal consistencies with Cronbach's alpha valuing 0.795-0.868 and McDonald's omega valuing 0.850-0.870.

CONCLUSIONS

The CES-D 8 presents sufficient psychometric syntheses for assessing depressive symptoms to adulthood. These results demonstrate adequate measurement invariances and can be reliably used at different genders, ages, and long-term time points in Chinese cultural backgrounds.

Introducing the ELPIS scale: a novel tool for measuring emotional empathy toward cancer patients

Empathy, defined as the ability to understand and share another person's feelings, is crucial in the healthcare setting, particularly for patients with cancer who face significant psychosocial challenges. We aimed to develop a novel tool, the Empathy, Life with Cancer, and Psychosocial Skills (ELPIS) Scale that prioritizes emotional and cognitive components in order to determine the reflection of the negative stigmatization of cancer in societies on individuals, excluding the behavioral and ethical dimensions of empathy. The study was conducted using a quantitative research design with a sample of first- and second-year medical students in Türkiye. An initial pool of 48 items was developed based on an extensive review of the literature and existing empathy scales. Following expert review and pilot testing, the scale was refined to 24 items. Exploratory factor analysis and confirmatory factor analysis were conducted to establish the scale's factor structure and validate its reliability and validity. The exploratory factor analysis revealed a three-factor structure comprising "emotional empathy," "sympathetic responses," and "realistic approaches," with a total of 20 items after refinement. Confirmatory factor analysis confirmed the model fit, with the scale demonstrating high internal consistency across all three dimensions. The scale's reliability was further supported by high Cronbach's alpha values. The results suggest that the ELPIS Scale is a reliable and valid instrument for measuring emotional empathy toward cancer patients. It offers a nuanced approach by separately assessing emotional, sympathetic, and realistic components of empathy, making it a valuable tool for both educational and clinical applications. Future research should explore the scale's application in diverse populations and settings, as well as its utility in tracking empathy development over time. In conclusion, the ELPIS Scale, which focuses on the emotional and cognitive components of empathy, a multifaceted construct, fills a critical gap in the measurement of empathy in the context of cancer care and provides a comprehensive tool that can improve both patient care and the education of healthcare providers.

Network structure of symptomatology of adult attention-deficit hyperactivity disorder in patients with mood disorders

Patients with mood disorders commonly manifest comorbid psychiatric disorders, including attention-deficit/hyperactivity disorder (ADHD). However, few studies have evaluated ADHD symptoms in this population. The current study aimed to explore the network structure of ADHD symptomology and identify central symptoms in patients with mood disorders. The Korean version of the Adult ADHD Self-Report Scale was used to assess the overall ADHD symptoms in 1,086 individuals diagnosed with mood disorders (major depressive disorder [n = 373], bipolar I disorder [n = 314], and bipolar II disorder [n = 399]). We used exploratory graph analysis to detect the number of communities, and the network structure was analyzed using regularized partial correlation models. We identified the central ADHD symptom using centrality indices. Network comparison tests were conducted with different subgroups of patients with mood disorders, including three mood diagnosis groups, between the patients who met the diagnostic criteria for ADHD [ADHD-suspected, n = 259] in their self-report and the others [ADHD-non-suspected, n = 827], and groups with high [n = 503] versus low [n = 252] levels of depressive state. The network analysis detected four communities: disorganization, agitation/restlessness, hyperactivity/impulsivity, and inattention. The centrality indices indicated that "feeling restless" was the core ADHD symptom. The result was replicated in the subgroup analyses within our clinically diverse population of mood disorders, encompassing three presentations: Patients with suspected ADHD, patients without suspected ADHD, and patients with a high depressive state. Our findings reveal that "feeling restless" is the central ADHD symptom. The treatment intervention for "feeling restless" may thus play a pivotal role in tackling ADHD symptoms in adult patients with mood disorders.

Deciphering the interplay between psychopathological symptoms, sensorimotor, cognitive and global functioning: a transdiagnostic network analysis

BACKGROUND

Understanding the relationship between psychopathology and major domains of human neurobehavioral functioning may identify new transdiagnostic treatment targets. However, studies examining the interrelationship between psychopathological symptoms, sensorimotor, cognitive, and global functioning in a transdiagnostic sample are lacking. We hypothesized a close relationship between sensorimotor and cognitive functioning in a transdiagnostic patient sample.

METHODS

We applied network analysis and community detection methods to examine the interplay and centrality [expected influence (EI) and strength] between psychopathological symptoms, sensorimotor, cognitive, and global functioning in a transdiagnostic sample consisting of 174 schizophrenia spectrum (SSD) and 38 mood disorder (MOD) patients. All patients (n = 212) were examined with the Positive and Negative Syndrome Scale (PANSS), the Heidelberg Neurological Soft Signs Scale (NSS), the Global Assessment of Functioning (GAF), and the Brief Cognitive Assessment Tool for Schizophrenia consisted of trail making test B (TMT-B), category fluency (CF) and digit symbol substitution test (DSST).

RESULTS

NSS showed closer connections with TMT-B, CF, and DSST than with GAF and PANSS. DSST, PANSS general, and NSS motor coordination scores showed the highest EI. Sensory integration, DSST, and CF showed the highest strength.

CONCLUSIONS

The close connection between sensorimotor and cognitive impairment as well as the high centrality of sensorimotor symptoms suggests that both domains share aspects of SSD and MOD pathophysiology. But, because the majority of the study population was diagnosed with SSD, the question as to whether sensorimotor symptoms are really a transdiagnostic therapeutic target needs to be examined in future studies including more balanced diagnostic groups.

Comparing the Clique Percolation algorithm to other overlapping community detection algorithms in psychological networks: A Monte Carlo simulation study

In psychological networks, one limitation of the most used community detection algorithms is that they can only assign each node (symptom) to a unique community, without being able to identify overlapping symptoms. The clique percolation (CP) is an algorithm that identifies overlapping symptoms but its performance has not been evaluated in psychological networks. In this study, we compare the CP with model parameters chosen based on fuzzy modularity (CPMod) with two other alternatives, the ratio of the two largest communities (CPRat), and entropy (CPEnt). We evaluate their performance to: (1) identify the correct number of latent factors (i.e., communities); and (2) identify the observed variables with substantive (and equally sized) cross-loadings (i.e., overlapping symptoms). We carried out simulations under 972 conditions (3x2x2x3x3x3x3): (1) data categories (continuous, polytomous and dichotomous); (2) number of factors (two and four); (3) number of observed variables per factor (four and eight); (4) factor correlations (0.0, 0.5, and 0.7); (5) size of primary factor loadings (0.40, 0.55, and 0.70); (6) proportion of observed variables with substantive cross-loadings (0.0%, 12.5%, and 25.0%); and (7) sample size (300, 500, and 1000). Performance was evaluated through the Omega index, Mean Bias Error (MBE), Mean Absolute Error (MAE), sensitivity, specificity, and mean number of isolated nodes. We also evaluated two other methods, Exploratory Factor Analysis and the Walktrap algorithm modified to consider overlap (EFA-Ov and Walk-Ov, respectively). The Walk-Ov displayed the best performance across most conditions and is the recommended option to identify communities with overlapping symptoms in psychological networks.

The "central" importance of loneliness in mental health: A network psychometric study

Loneliness is linked to negative mental health outcomes like depression and social anxiety. However, it is unclear how loneliness and these conditions are connected. This study aims to address two questions: (a) Are there pathways connecting loneliness to these conditions? (b) What symptoms play a role in these pathways? Using network analyses, the study examined a representative sample of 962 adults from the UK (mean age = 46, females = 492). The network analysis revealed four dimensions: depression, social anxiety and two dimensions for loneliness (isolation and social connectedness). Two distinct pathways were identified for the transmission of symptoms between loneliness, social anxiety and depression. The depression-isolation pathway involved a node representing the perceived loss of social connections. The social anxiety-social connectedness pathway was characterised by intimate interaction contexts. These findings suggest that loneliness is associated with different symptom pathways, potentially contributing to comorbidity between loneliness, social anxiety and depression.

A tale of two constructs: combined assessment of demoralization and subjective incompetence

Demoralization comprises multiple dimensions. Among them, Subjective Incompetence (SI) is the perception of being incapable of appropriate action in demanding circumstances. SI may be an early sign of demoralization preceding hopelessness, thus we aimed at integrating items related to Subjective Incompetence into the clinical assessment of demoralization. We assessed 414 subjects from the general population with the Demoralization Scale, 24 items (DS24) and the Subjective Incompetence Scale, 12 items (SIS12). We used multiple approaches to detect the optimal number of factors and their item structure, then conducted Bayesian Item Response Theory analyses to study item psychometric properties. Item Response Theory models were used to extrapolate latent severity ratings of clinical dimensions. We modelled the DS24 with five factors (Disheartenment, Sense of Failure, Helplessness, Irritability, Loss of Purpose) and the SIS12 with three (Subjective Incompetence, Inability to plan, Inability to Deal). The more complex IRT model had the best predictive value and helped to identify the items with better discrimination properties across the different dimensions. Twenty items were retained and used to develop the combined Demoralization and Subjective Incompetence Scale (DSIS20), which maintained high correlation with raw and latent trait scores of the longer versions. We combined selected items of the DS24 and the SIS12 to develop the DSIS20, a shorter assessment instrument that includes Subjective Incompetence as well as other clinical dimensions of demoralization. Further study may clarify if DSIS20 may be helpful for the early detection of demoralization.

Factor retention in ordered categorical variables: Benefits and costs of polychoric correlations in eigenvalue-based testing

An essential step in exploratory factor analysis is to determine the optimal number of factors. The Next Eigenvalue Sufficiency Test (NEST; Achim, 2017) is a recent proposal to determine the number of factors based on significance tests of the statistical contributions of candidate factors indicated by eigenvalues of sample correlation matrices. Previous simulation studies have shown NEST to recover the optimal number of factors in simulated datasets with high accuracy. However, these studies have focused on continuous variables. The present work addresses the performance of NEST for ordinal data. It has been debated whether factor models - and thus also the optimal number of factors - for ordinal variables should be computed for Pearson correlation matrices, which are known to underestimate correlations for ordinal datasets, or for polychoric correlation matrices, which are known to be instable. The central research question is to what extent the problems associated with Pearson correlations and polychoric correlations deteriorate NEST for ordinal datasets. Implementations of NEST tailored to ordinal datasets by utilizing polychoric correlations are proposed. In a simulation, the proposed implementations were compared to the original implementation of NEST which computes Pearson correlations even for ordinal datasets. The simulation shows that substituting polychoric correlations for Pearson correlations improves the accuracy of NEST for binary variables and large sample sizes (N = 500). However, the simulation also shows that the original implementation using Pearson correlations was the most accurate implementation for Likert-type variables with four response categories when item difficulties were homogeneous.

The dimensional structure of the Positive and Negative Syndrome Scale in first-episode schizophrenia spectrum disorders: an Exploratory Graph Analysis from the OPTiMiSE trial

The Positive and Negative Syndrome Scale (PANSS) is the most widely used rating scale to assess psychotic symptoms in patients with schizophrenia and other primary psychoses. However, a definitive consensus regarding its dimensional structure remains elusive. The present work aims to determine the number of dimensions of the scale through a network analysis approach in a sample of individuals experiencing first-episode schizophrenia spectrum disorder (FE-SSD) with minimal or no prior exposure to antipsychotic treatment. Baseline data of 446 participants (age 25.96 ± 5.99 years, 70% males) enrolled in the OPTiMiSE trial were analysed. Exploratory Graph Analysis (EGA) was conducted to evaluate the dimensionality of the PANSS, and a bootstrap approach (bootEGA) was employed to assess model stability. The analysis was replicated, excluding unstable items with stability values below 0.75, until a stable model was achieved. The analysis of the 30 items of the PANSS revealed inadequate structural consistency, resulting in the exclusion of 9 unstable items. The final model comprised 21 symptoms distributed across four communities (Positive, Cognitive/Disorganised, Excited/Aggressive and Negative) but lacked a depressive domain. In conclusion, we propose a concise version of the PANSS, incorporating 21 items, to better assess the core symptoms of the first episode of SSD. This revised version provides clinicians with a robust psychometric tool with reduced administration time, but the complementary administration of a dedicated instrument for evaluating affective symptoms is advisable.

A Network Analytic Approach to Dissociation: New Insights from Clinical Data

The transdiagnostic construct of dissociation, characterized by a disintegration of specific psychological functions such as consciousness, memory, identity, perception, body representation, and behavior, remains elusive to a unified conceptualization. Specifically, its dimensionality is a matter of ongoing controversy. Empirical approaches applying factor analyses to the Dissociative Experiences Scale (DES) have yielded inconsistent findings. This study adopts a novel methodological approach, utilizing Exploratory Graph Analysis (EGA) to address this issue. In a sample of 668 day-hospital patients undergoing psychotherapy for a variety of mental disorders, a Gaussian graphical model was estimated for the 28 items of the DES. Additionally, the stability of the results was ensured by bootstrap procedures. While both the original EGA and the bootstrap EGA suggested four dimensions, the structural consistency of this solution was low due to an instability of 12 items. After excluding 10 of these unstable items, re-analyses again revealed a four-factor structure, but boot EGA indicated that one factor had unsatisfactory structural consistency due to the multidimensionality of its two items. Upon removing these, our final network consisted of 16 items mapping onto 3 dimensions. Our study, using data from a diagnostically heterogeneous sample, replicates and extends previous findings on the dimensionality of dissociation as captured by the DES. The three dimensions identified correspond to segregated processes, derealization/depersonalization, and absorption. This solution aligns with a bipartite model of dissociation with two broader categories referring to either altered states of consciousness (often named detachment) or to non-integrated mental modules (labeled as compartmentalization).

Navigating Ambiguity: Adapting and Validating the Personal Need for Structure Scale in Spanish

The Personal Need for Structure (PNS) scale assesses individuals' tendency to seek out clarity and structured ways of understanding and interacting with their environment. The main aim of this study was to adapt the PNS scale to Spanish and assess its psychometric properties. There are two versions of the PNS scale being used, which vary in the number of dimensions (1 vs. 2), and in the number of items (12 vs. 11; because one version excludes Item 5). Therefore, an additional aim of this study was to compare the two existing versions of the PNS scale. This comparison aimed to address the debate regarding the inclusion of Item 5, and the number of dimensions that comprise the PNS scale. A sample of 735 individuals was collected. First, through an approach combining exploratory and confirmatory analyses, evidence was found in favor of the scale being composed of two related but distinguishable factors: Desire for Structure and Response to the Lack of Structure. Scores on these subscales showed acceptable internal consistency and test-retest reliability. Evidence supporting the invariance of the internal structure across sociodemographic variables such as gender and age was found. Validity evidence was also analyzed by examining the relationships with other relevant measures. The results indicated that Item 5 can be excluded without reducing scores validity or reliability, which supports preceding research in the literature. In conclusion, the PNS scale was satisfactorily adapted to and validated in Spanish and its use in this context is recommended.

Happy children! A network of psychological and environmental factors associated with the development of positive affect in 9-13 children

To deepen the development of positive affect during early adolescence and shed new light on its predictors, this study adopts an exploratory network approach to first identify the main domains that describe the variability of children's psychological, environmental, and behavioral characteristics, and then use these domains to longitudinally predict positive affect and its development within a latent growth framework. To this aim, we considered 10,904 US participants (9 years old at baseline; 13 years old 42 months later), six measurement occasions of positive affect, and 46 baseline indicators from the ABCD study. Our results not only confirm that positive affect declines between 9 and 13 years old, but also show that among the five domains identified (behavioral dysregulation, cognitive functioning, psychological problems, supportive social environment, and extracurricular activities), only a supportive social environment consistently predicts positive affect. This is crucial for practitioners and policymakers, as it can help them focus on the elements within our complex network of psychological, social, and environmental variability.

Revisiting the Structure of the Chinese Version of the Questionnaire of Cognitive and Affective Empathy and Its Relationships with Schizotypy and Paranoia Using Network Approaches

Empathy is predominantly assessed with self-report questionnaires. However, their structural validities were not well-supported. This study aimed to re-explore and refine the factor structure of the Chinese version of the Questionnaire of Cognitive and Affective Empathy (QCAE) and investigate the pathways linked between dimensions of empathy and schizotypy. Data from a valid sample of 1,360 community-dwelling adults (aged 18-35) were subjected to the exploratory graph analysis (EGA) and bootstrap EGA for factor retention. A goodness-of-fit evaluation was conducted using confirmatory factor analysis (CFA). Lastly, a Gaussian graphical model with sum scores of the resultant empathy dimensions, positive, negative, and disorganized schizotypy, and paranoia as nodes was estimated. Results supported a three-factor structure for the revised 20-item QCAE, demonstrating a good model fit. The new Online simulation subscale was associated with reduced disorganized schizotypy, whereas the new Perspective-taking subscale was associated with decreased disorganized schizotypy and increased positive schizotypy. The composite Affective empathy subscale was associated with decreased negative schizotypy and increased positive and disorganized schizotypy and paranoia. Overall, the revised QCAE demonstrated good structural validity, measuring three separable and internally cohesive factors of empathy. Each factor possessed unique and differential relationships with schizotypy dimensions that merit research and clinical attention.

New Psychometric Evidence of the Life Satisfaction Scale in Older Adults: An Exploratory Graph Analysis Approach

The objective of the present study was to analyze the psychometric properties of a life satisfaction scale in older Peruvian adults using an exploratory graph analysis (EGA) approach. A total of 407 older adults aged between 60 and 95 years (M = 69.5; SD = 6.7) from three comprehensive elderly care centers (CIAMs) in Lima, Peru, were recruited. A non-probabilistic convenience sampling was used. The Satisfaction with Life Scale (SWLS) was analyzed using EGA with the Gaussian GLASSO model to assess its dimensionality and structural consistency. The relationship with other variables was analyzed using scales such as the GAD-7 and PHQ-9. The network structure of the SWLS indicates a single dimension. Additionally, network loadings (nodes) were examined, showing high values (>0.35) for most items except item 1, which had a moderate loading (>0.25). Structural reliability showed that a single dimension was identified 100% of the time. The post hoc CFA considering the unidimensional network structure obtained through EGA showed satisfactory fit (χ2/df = 3.48, CFI = 0.96, TLI = 0.92, SRMR = 0.02, RMSEA = 0.07 [90% CI 0.05, 0.08]). Finally, internal consistency reliability was acceptable (ω = 0.92). The SWLS measure is robust and consistent. These findings are a valuable reference for advancing research on aging in Peru, as they provide a practical, valid, and reliable measure.

Dimensionality assessment in the presence of wording effects: A network psychometric and factorial approach

This study proposes a procedure for substantive dimensionality estimation in the presence of wording effects, the inconsistent response to regular and reversed self-report items. The procedure developed consists of subtracting an approximate estimate of the wording effects variance from the sample correlation matrix and then estimating the substantive dimensionality on the residual correlation matrix. This is achieved by estimating a random intercept factor with unit loadings for all the regular and unrecoded reversed items. The accuracy of the procedure was evaluated through an extensive simulation study that manipulated nine relevant variables and employed the exploratory graph analysis (EGA) and parallel analysis (PA) retention methods. The results indicated that combining the proposed procedure with EGA or PA achieved high accuracy in estimating the substantive latent dimensionality, but that EGA was superior. Additionally, the present findings shed light on the complex ways that wording effects impact the dimensionality estimates when the response bias in the data is ignored. A tutorial on substantive dimensionality estimation with the R package EGAnet is offered, as well as practical guidelines for applied researchers.

Network Structure of Interpersonal Sensitivity in Patients With Mood Disorders: A Network Analysis

OBJECTIVE

Interpersonal sensitivity, characterized by a heightened awareness of others' behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders.

METHODS

The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups.

RESULTS

Network analysis detected five communities. Item 10 ("I worry about being criticized for things that I have said or done") showed the highest value in strength. Multiple items on "Interpersonal Worry/Dependency" and "Low Self-Esteem" showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups.

CONCLUSION

Our findings emphasize the importance of addressing "Interpersonal Worry/Dependency" and "Low Self-Esteem" in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Assessment of psychometric properties of the union physio-psycho-social assessment questionnaire (UPPSAQ-70) in a large sample of general hospital psychiatric outpatients

OBJECTIVE

To evaluate the psychometric properties of the Union Physio-Psycho-Social Assessment Questionnaire (UPPSAQ-70) among general hospital psychiatric outpatients.

METHODS

A total of 2000 participants responded to the survey. Factor analyses were used to test the construct validity of the scale. Convergent validity was evaluated by the correlation between UPPSAQ-70 and symptoms measured using the Chinese versions of Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), Patient Health Questionnaire-15 (PHQ-15), Somatic Symptom Disorder - B Criteria Scale (SSD-12) and Pittsburgh Sleep Quality Index (PSQI).

RESULTS

The nine-factor model was supported (χ2 = 8816.395, df = 2309, χ2/df = 3.818, RMSEA = 0.053, CFI = 0.929). The UPPSAQ-70 showed significant correlation with the SAS (r = 0.396, P < .001), SDS (r = 0.451, P < .001), PHQ-15 (r = 0.381, P < .001), SSD-12 (r = 0.324, P < .001) and PSQI (r = 0.220, P < .001). UPPSAQ-70 and its subscales showed good internal consistency with Cronbach's alpha coefficients ranging from 0.79 to 0.96.

CONCLUSIONS

The UPPSAQ-70 was a rating scale with good construct validity and reliability, which can measure overall health in the biological, psychological, and social domains for Chinese psychiatric outpatients, but its convergent validity still requires further empirical research.

Assessment of psychometric performance for the Chinese version of the Brief Inventory of Perceived Stress integrating exploratory graph analysis and confirmatory factor analysis

OBJECTIVE

This study was to evaluate measurement properties of the Chinese version of the Brief Inventory of Perceived Stress (BIPS-C) and confirm possible solutions for measuring the constructs underlying perceived stress.

METHODS

A total of 1356 community residents enrolled and were randomly split into two halves. The first half was used to explore the underlying constructs of the BIPS-C by exploratory graph analysis (EGA) and the second half was used to compare and confirm the constructs by confirmatory factor analysis (CFA).

RESULTS

The EGA identified a one-factor model of the BIPS-C with an accuracy of 99.3%. One-factor, three-factor, second-order, and bifactor models were compared by CFAs. The bifactor model with one general and three specific factors was found to be the most adequate [comparative fit index (CFI) = 0.990; Tucker-Lewis index (TLI) = 0.979; root mean square error of approximation (RMSEA) = 0.058] and was superior to the other models. The related bifactor indices showed a stronger existence of the general factor. The bifactor model of the BIPS-C also showed adequate internal consistency with McDonald's omega and omega subscales ranging from moderate to strong (0.677-0.869).

CONCLUSION

The BIPS-C demonstrates sufficient measurement properties for assessing general perceived stress.

Using exploratory graph analysis (EGA) in validating the structure of the Perth alexithymia questionnaire in Iranians with chronic pain

Background

Chronic pain's influence on emotional well-being can be significant. It may evoke feelings of despair, frustration, nervousness, and melancholy in individuals, which often manifest as reactions to enduring pain and disruptions in their daily lives. In this study, we seek to perform Bootstrap Exploratory Graph Analysis (EGA) on the Persian Version of the Perth Alexithymia Questionnaire (PAQ) in a cohort of people with chronic pain.

Methods

The research concentrated on the population of individuals encountering chronic pain within Tehran province from 2022 to 2023. Ultimately, the analysis comprised information from 234 male participants (with a mean age of 30.59, SD = 6.84) and 307 female participants (with a mean age of 30.16, SD = 6.65). After data collection, statistical analysis was conducted using the EGAnet2.0.4 package in R.4.3.2 software.

Results

The outcome of bootstrapped EGA unveiled a two-dimensional configuration of the PAQ comprising Factor 1 denoted as negative difficulty in describing and identifying feelings (N-DDIF) and Factor 2 characterized as general-externally orientated thinking (GEOT), representing robust structural integrity and item consistency (all items have stabilities > 0.70).

Conclusion

These findings endorse the validity of the PAQ, as evidenced by its confirmation in a broader sample using a novel methodology consistent with existing literature on two-factor decentering models.

The Network Structure of Cognitive Impairment: From Subjective Cognitive Decline to Alzheimer's Disease

It was proposed that a reorganization of the relationships between cognitive functions occurs in dementia, a vision that surpasses the idea of a mere decline of specific domains. The complexity of cognitive structure, as assessed by neuropsychological tests, can be captured by exploratory graph analysis (EGA). EGA was applied to the neuropsychological assessment of people (humans) with subjective cognitive decline (SCD), mild cognitive impairment (MCI), and Alzheimer's disease (AD; total N = 638). Both sexes were included. In AD, memory scores detach from the other cognitive functions, and memory subdomains reduce their reciprocal relation. SCD showed a pattern of segregated neuropsychological domains, and MCI showed a noisy and less stable pattern. Results suggest that AD drives a reorganization of cognitive functions toward a less-fractionated architecture compared with preclinical conditions. Cognitive functions show a reorganization that goes beyond the performance decline. Results also have clinical implications in test interpretations and usage.

Psychometric Evaluation of the Affective Reactivity Index Among Children and Adolescents in China: A Multi-Method Assessment Approach

The Affective Reactivity Index (ARI) is one of the most studied scales for assessing youth irritability, but little is known about its measurement performance in community populations. This study applied item response theory (IRT), network analysis, and classical test theory (CTT) to examine the psychometric properties of the ARI in a sample of n = 395 community-based children (Mage = 13.44, SD = 2.51) and n = 403 parents. In this sample, the ARI demonstrated good reliability, as well as convergent and concurrent validity. The one-factor structure was supported by both confirmatory factor analysis (CFA) and network analysis. IRT analysis revealed that the ARI effectively distinguished between various levels of irritability within the community population. Network analysis identified "Loses temper easily,""Gets angry frequently," and "Often loses temper" are central aspects of irritability. The findings support the ARI as a brief, reliable, and valid instrument to assess irritability in community children and adolescents.

Confirmatory validation of the Mesothelioma Psychological Distress Tool-Patients: A brief patient-reported outcome measure assessing psychological distress in malignant mesothelioma patients

OBJECTIVE

Psychological suffering in patients with Malignant Mesothelioma (MM) is different from the one experienced by patients with other cancers due to its occupational or environmental etiology and its peculiar symptomatology and prognosis (i.e., poor prognosis, reduced effectiveness of the therapies, poor quality of residual life, and advanced age at the time of diagnosis). Therefore, the Mesothelioma Psychological Distress Tool-Patients (MPDT-P) has been developed to evaluate the specific profile of psychological suffering in this population. This paper describes the item selection, factor analysis, and psychometric evaluation of the revised MPDT-P.

METHODS

The analyses of the current work aimed to confirm the factorial structure found in the first version of the MPDT-P. In the case of nonfit, it aimed to find an alternative structure and causes of nonfit in the model. The search for the fit of the factorial model was conducted using a Bayesian approach.

RESULTS

The two-factor model reported in the first version of the instrument did not fit the data. Confirmatory Bayesian analyses showed adequate fit for the three-factor solution. Based on the content of the items, we labeled the factors as dysfunctional emotions, claims for justice, and anxieties about the future.

CONCLUSIONS

Integrating the MPDT-P into clinical practice could help clinicians gain insight into the specific suffering related to MM and investigate potential differences related to different occupational and environmental exposure contexts.

Beyond sound irritation: cross-cultural evidence on the robustness of the five aspects of misophonic experience measured by the S-Five in a Polish sample

Misophonia is commonly associated with negative emotional or physiological responses to specific sounds. However, the consensus definition emphasizes that misophonia entails much more than that. Even in cases of subclinical misophonia, where individuals do not meet the disorder criteria, the experience can still be burdensome, despite not currently causing significant distress or impairment. The S-Five is a psychometric tool for comprehensive assessment of five aspects of misophonic experience: internalizing, externalizing, impact, threat, and outburst, and includes S-Five-T section to evaluate feelings evoked by triggering sounds and their intensity. We examined whether the five-factor structure developed in the UK could be replicated in a Polish sample, including individuals with and without self-identified misophonia. The Polish version of the S-Five was translated and tested on 288 Polish-speaking individuals. Comprehensive psychometric evaluation, including factor structure, measurement invariance, test-retest reliability, internal consistency, and concurrent validity evaluations, was conducted on the translated scale. Exploratory factor analysis suggested similar structure to the original English study, while bootstrap exploratory graph analysis showed the factor structure to be reproducible in other samples. The scale was found to be bias free with respect to gender, internally consistent and stable in time, and evidence of validity was provided using MisoQuest and Misophonia Questionnaire. These results offer support for the cross-cultural stability of the five factors and provide preliminary evidence for the suitability of the Polish version for clinical and research purposes. The study also investigated five facets of misophonia, triggering sounds, emotional responses, and their associations with symptoms of psychopathology across various cultures. It underscores the central role of anger, distress, and panic, while also highlighting the mixed role of irritation and disgust in misophonia across different cultural contexts. Mouth sounds evoked the most pronounced reactions compared to other repetitive sounds, although there were discernible cultural differences in the nature and intensity of reactions to various trigger sounds. These findings hold significant implications for future research and underscore the importance of considering cultural nuances in both research and the clinical management of misophonia.

Contemporaneous and temporal network analysis of complex Posttraumatic stress disorder among Chinese college students with Childhood adversity: A longitudinal study

OBJECTIVE

To enhance understanding of the longitudinal progression of complex posttraumatic stress disorder (CPTSD) symptoms, this longitudinal study examined how CPTSD symptoms interact over time in Chinese college students with childhood trauma.

METHODS

From 18,933 college students who took part in two surveys 12 months apart, 4,006 participants who reported adverse childhood experiences were screened. Cross-sectional network comparisons and cross-lagged panel network (CLPN) analysis characterized interactions among CPTSD symptoms.

RESULTS

In the cross-sectional networks, feeling like a failure and avoid activities reminiscent of the trauma were the central symptoms. Takes long time to calm down and exaggerated startle are important bridge symptoms in the two networks respectively. The comparison of cross-sectional networks indicates that the global network strength was stable. The findings of the CLPN model reveal that feel worthless and feel like a failure had the highest "out" expected influence; exaggerated startle and avoid thoughts and feelings about the trauma had the highest "in" expected influence.

CONCLUSIONS

By conducting cross-sectional network analyses, the study illuminated the attributes of CPTSD networks across various time points. Additionally, the CLPN analysis uncovered the longitudinal patterns of CPTSD symptoms.

Identifying symptom clusters and temporal interconnections in patients with lung tumors after CT-guided microwave ablation: A network analysis

PURPOSE

To explore symptom clusters and interrelationships using a network analysis approach among symptoms in patients with lung tumors who underwent computed tomography (CT)-guided microwave ablation (MWA).

METHODS

A longitudinal study was conducted, and 196 lung tumor patients undergoing MWA were recruited and were measured at 24 h, 48 h, and 72 h after MWA. The Chinese version of the MD Anderson Symptom Inventory and the Revised Lung Cancer Module were used to evaluate symptoms. Network analyses were performed to explore the symptom clusters and interrelationships among symptoms.

RESULTS

Four stable symptom communities were identified within the networks. Distress, weight loss, and chest tightness were the central symptoms. Distress, and weight loss were also the most key bridge symptoms, followed by cough. Three symptom networks were temporally stable in terms of symptom centrality, global connectivity, and network structure.

CONCLUSION

Our findings identified the central symptoms, bridge symptoms, and the stability of symptom networks of patients with lung tumors after MWA. These network results will have important implications for future targeted symptom management intervention development. Future research should focus on developing precise interventions for targeting central symptoms and bridge symptoms to promote patients' health.

The biobehavioural pain and movement questionnaire (BioPMovQ): development and psychometric validation of a new questionnaire

Objective

The purpose of this research was to design and psychometrically validate a new instrument (the Biobehavioural Pain and Movement Questionnaire/BioPMovQ), which assesses the relationship between pain and various factors related to motor behaviour from a biobehavioural perspective.

Methods

A mixed-method design combining a qualitative study with an observational and cross-sectional study was employed to develop (content validity) and psychometrically validate (construct validity, reliability and concurrent/discriminant validity) a new instrument. A total of 200 patients with chronic musculoskeletal pain were recruited.

Results

According to the exploratory factor analysis, the final version of the BioPMovQ consists of 16 items distributed across 4 subscales (1, disability, 2, self-efficacy for physical activity; 3, movement avoidance behaviours; and 4, self-perceived functional ability), all with an eigen value greater than 1, explaining 55.79% of the variance. The BioPMovQ showed high internal consistency (Cronbach's α = 0.82; McDonald's ω = 0.83). The intraclass correlation coefficient was 0.86 (95% confidence interval 0.76 to 0.91), which was considered to demonstrate excellent test-retest reliability. The standard error of measurement and minimal detectable change were 3.43 and 8.04 points, respectively. No floor or ceiling effects were identified. There was a positive, significant and moderate magnitude correlation with the Graded Chronic Pain Scale (r = 0.54), kinesiophobia (r = 0.60), pain catastrophising (r = 0.44) and chronic pain self-efficacy (r = -0.31).

Conclusion

The BioPMovQ showed good psychometric properties. Based on the findings of this study, the BioPMovQ can be used in research and clinical practice to assess patients with chronic musculoskeletal pain.

Dimensionality assessment in ordinal data: a comparison between parallel analysis and exploratory graph analysis

In the social sciences, accurately identifying the dimensionality of measurement scales is crucial for understanding latent constructs such as anxiety, happiness, and self-efficacy. This study presents a rigorous comparison between Parallel Analysis (PA) and Exploratory Graph Analysis (EGA) for assessing the dimensionality of scales, particularly focusing on ordinal data. Through an extensive simulation study, we evaluated the effectiveness of these methods under various conditions, including varying sample size, number of factors and their association, patterns of loading magnitudes, and symmetrical or skewed item distributions with assumed underlying normality or non-normality. Results show that the performance of each method varies across different scenarios, depending on the context. EGA consistently outperforms PA in correctly identifying the number of factors, particularly in complex scenarios characterized by more than a single factor, high inter-factor correlations and low to medium primary loadings. However, for datasets with simpler and stronger factor structures, specifically those with a single factor, high primary loadings, low cross-loadings, and low to moderate interfactor correlations, PA is suggested as the method of choice. Skewed item distributions with assumed underlying normality or non-normality were found to noticeably impact the performance of both methods, particularly in complex scenarios. The results provide valuable insights for researchers utilizing these methods in scale development and validation, ensuring that measurement instruments accurately reflect theoretical constructs.

Exploring the factor structure of a Chinese version of the CORE-OM: insights from network approach and bifactor modeling

OBJECTIVE

The Clinical Outcomes in Routine Evaluation (CORE-OM) is a measure of clinical outcomes that has been widely used in mental health research. Nevertheless, the exploration of the factor structure of the CORE-OM yields diverse results. This study aims to explore the factor structure with an innovative method known as exploratory graph analysis (EGA) and supplemented with bifactor modeling.

METHOD

A Chinese version of the CORE-OM was administrated to a total of 1361 clinical college students. We first examined the factor structure of the CORE-OM using EGA, and then compared the model derived by EGA with other models using CFA to find the most reasonable model.

RESULTS

The result of EGA indicated a four-factor model of CORE-OM. The CFA further suggested a bifactor model with a four-factor structure combined with a general factor. The bifactor modeling suggested a significant proportion of shared variance among the variables was attributed to the general factor. The four-factor bifactor model exhibited a satisfactory fit to the data.

CONCLUSION

The results confirm the robustness and parsimonious nature of a four-factor bifactor model for the Chinese version of CORE-OM. It is suitable for measuring intrapersonal psychological distress, positive emotions, interpersonal problems, and risk-related issues among the Chinese population.

Antisocial personality traits relationship with behaviours and beliefs on COVID-19 containment measures: Investigation in a large Brazilian sample

In the COVID-19 context, traits associated with antisociality can decrease concern and awareness about the potential harmfulness of the virus. This study investigated associations of pathological traits of antisocial personality disorder (ASPD) with behaviours and beliefs linked to COVID-19 containment measures. The sample consisted of 2230 Brazilian adults who answered ASPD-related facets of the Personality Inventory for DSM-5 and a questionnaire regarding adherence to COVID-19 containment measures. We applied the DSM-5 ASPD criteria to divide the sample into antisocial and non-antisocial groups. Our findings suggest that individuals meeting the criteria for ASPD tend to exhibit reduced compliance with pandemic control measures and lower adherence to hygiene practices. Moreover, sex, income, and age should be considered potential covariates in research investigating the relationship between antisocial traits and adherence to COVID-19 preventive measures. Altogether, our findings highlight ASPD traits' role in the predisposition to lack of prosocial behaviours of adherence to COVID-19 containment measures.

All the Same? Different Measures of Personality Functioning Are Similar but Distinct. A Comparative Study from a Psychodynamic Perspective Using Exploratory Graph Analysis

Personality functioning (PF) is a central construct in many theories of personality pathology. Based on psychodynamic theories, two screening questionnaires to assess PF are widely used: The Inventory of Personality Organization-16 item version and the Operationalized Psychodynamic Diagnosis-Structure Questionnaire Short Form. This study aimed to explore the similarities and differences of the two questionnaires in a large clinical sample of N = 1636 psychotherapeutic inpatients. Correlation analyses were conducted to examine the associations between the global scores and between the subscales. The study further used Exploratory Graph Analysis (EGA) to explore the dimensionality of the items. The stability of estimates was evaluated using a bootstrap version of EGA (bootEGA). The results indicated that the two questionnaires are highly correlated, yet not multicollinear, and moderate to large correlations were found between their subscales. EGA revealed six dimensions that fairly represented the original subscales. BootEGA showed that the dimensions and items were stable, except for one item that did not load sufficiently on any dimension. The findings suggest that although the questionnaires are highly correlated, their subscales tap into distinct domains of PF. We discuss implications stemming from these findings for clinical and scientific practice.

Accelerated epigenetic age is associated with whole-brain functional connectivity and impaired cognitive performance in older adults

While chronological age is a strong predictor for health-related risk factors, it is an incomplete metric that fails to fully characterize the unique aging process of individuals with different genetic makeup, neurodevelopment, and environmental experiences. Recent advances in epigenomic array technologies have made it possible to generate DNA methylation-based biomarkers of biological aging, which may be useful in predicting a myriad of cognitive abilities and functional brain network organization across older individuals. It is currently unclear which cognitive domains are negatively correlated with epigenetic age above and beyond chronological age, and it is unknown if functional brain organization is an important mechanism for explaining these associations. In this study, individuals with accelerated epigenetic age (i.e. AgeAccelGrim) performed worse on tasks that spanned a wide variety of cognitive faculties including both fluid and crystallized intelligence (N = 103, average age = 68.98 years, 73 females, 30 males). Additionally, fMRI connectome-based predictive models suggested a mediating mechanism of functional connectivity on epigenetic age acceleration-cognition associations primarily in medial temporal lobe and limbic structures. This research highlights the important role of epigenetic aging processes on the development and maintenance of healthy cognitive capacities and function of the aging brain.

Machine learning-based prediction of heat transfer performance in annular fins with functionally graded materials

This paper presents a study investigating the performance of functionally graded material (FGM) annular fins in heat transfer applications. An annular fin is a circular or annular structure used to improve heat transfer in various systems such as heat exchangers, electronic cooling systems, and power generation equipment. The main objective of this study is to analyze the efficiency of the ring fin in terms of heat transfer and temperature distribution. The fin surfaces are exposed to convection and radiation to dissipate heat. A supervised machine learning method was used to study the heat transfer characteristics and temperature distribution in the annular fin. In particular, a feedback architecture with the BFGS Quasi-Newton training algorithm (trainbfg) was used to analyze the solutions of the mathematical model governing the problem. This approach allows an in-depth study of the performance of fins, taking into account various physical parameters that affect its performance. To ensure the accuracy of the obtained solutions, a comparative analysis was performed using guided machine learning. The results were compared with those obtained by conventional methods such as the homotopy perturbation method, the finite difference method, and the Runge-Kutta method. In addition, a thorough statistical analysis was performed to confirm the reliability of the solutions. The results of this study provide valuable information on the behavior and performance of annular fins made from functionally graded materials. These findings contribute to the design and optimization of heat transfer systems, enabling better heat management and efficient use of available space.

Psychometric network analysis of the Patient Health Questionnaire-4 (PHQ-4) in Paraguayan general population

BACKGROUND

Depression and anxiety are two of the most prevalent and disabling mental disorders worldwide, both in the general population and in outpatient clinical settings.

OBJECTIVE

This study aimed to analyze the psychometric properties of the Patient Health Questionnaire-4 (PHQ-4) based on network analysis metrics.

METHODS

A total of 911 Paraguayans (23.71% women and 76.29% men; mean age 31.25 years, SD = 10.63), selected by non-probabilistic convenience sampling, participated in the study. Network analysis was used to evaluate the internal structure, reliability, and measurement invariance between men and women.

RESULTS

The results revealed that the PHQ-4 is a unidimensional measure through Exploratory Graph Analysis (EGA). Reliability, through structural consistency, identified that 100% of the time, only a single dimension was obtained, and all items remained stable, as they were always replicated within the empirical dimension. The unidimensional structure has shown evidence of configural invariance; therefore, the network structure functioned equally among the different sex groups.

CONCLUSION

The PHQ-4 presented optimal preliminary evidence of validity based on its internal structure, reliability, and invariance between sexes. Therefore, it may be useful as an accurate and brief measure of anxiety and depressive symptoms in the Paraguayan context.

Network Structure and Clustering Analysis Relating to Individual Symptoms of Problematic Internet Use in a Community Adolescent Population

INTRODUCTION

Problematic internet use (PIU) is a psychopathology that includes multiple symptoms and psychological constructs. Because no studies have considered both network structures and clusters among individual symptoms in the context of PIU in a Korean adolescent population, this study aimed to investigate network structures and clustering in relation to PIU symptoms in adolescents.

METHODS

Overall, 73,238 adolescents were included. PIU severity was assessed using a self-rating scale comprising 20 items and 6 subscales, namely, the Internet Addiction Proneness Scale for Youth-Short Form; KS scale. Network structures and clusters among symptoms were analyzed using a Gaussian graphical model and exploratory graph analysis, respectively. Centrality of strength, closeness, and betweenness scores was also calculated.

RESULTS

Our study identified four clusters: disturbance in adaptive functioning, virtual interpersonal relationships, withdrawal, and tolerance. The symptom of confidence served as a node bridging the cluster of virtual interpersonal relationships and other clusters of withdrawal and disturbances of adaptive function. The symptom of craving served as a bridge between the clusters of withdrawal and tolerance with high betweenness centrality.

CONCLUSION

This study identified network structures and clustering among PIU symptoms in adolescents and revealed that positive experiences derived from online interpersonal relationships were an important mechanism underlying PIU. These are novel insights concerning the interconnection among multiple symptoms and related clustering for the mechanism of adolescent PIU in terms of KS-scale PIU assessment.

Internal and external self-affirmation resources: validation and assessment of psychometric properties of the spontaneous self-affirmation measure using structural equation modeling

Introduction

People use coping strategies such as self-affirmation to manage threats to their self-esteem. In empirical research, self-affirmation often involves recalling personal values, strengths, or relationships to restore moral integrity. Research shows it improves attitude adjustment, resolves cognitive dissonance, and enhances well-being. Some studies stress the importance of distinguishing between different aspects of self-affirmation, like strengths or social relations. These aspects align with concepts in psychotherapy that differentiate between internal and external resource activation, benefiting health, self-esteem, and resilience. The aim of the current study was twofold: first, to independently test the three-factor structure of the Spontaneous Self-affirmation Measure (SSAM), and second, to integrate self-affirmation strategies into a broader resource activation framework as resilience factors. It also examined associations with self-esteem and effects of age, gender, and education on spontaneous self-affirmation.

Methods

1,100 participants (72% female, age 18-65) were recruited online. The original three-factor structure of the SSAM (with the factors Strengths, Values and Social relations) was examined using structural equation modeling. Further, a theory driven two-factor structure applying an internal and external resources framework was examined, integrating the factors of the SSAM into the taxonomy of resource activation (Internal resources: Strengths and Values; External resources: Social relations).

Results

The results of confirmatory factor analyses showed that both the original three-factor structure and the complementary two-factor structure with an Internal resources and External resources factor fit the data appropriately. All three factors of the original factor model showed a high reliability (Strengths: ω t = 0.91, Values: ω t = 0.91, Social relations: ω t = 0.92). We also found measurement invariance across age, gender, and education. Furthermore, group differences regarding gender, education and ethnicity in the utilization of spontaneous self-affirmation strategies were apparent. Finally, it was demonstrated that the Internal resources factor of the complementary two-factor model is significantly more strongly correlated with self-esteem than the External Resources factor [z = 12.80, p < 0.001, 95%CIdiff (0.24, 0.33)].

Discussion

The study confirms the validity of both the three-factor and two-factor structures of the SSAM. Integrating self-affirmation into the resource activation framework may facilitate applying findings from self-affirmation studies to clinical contexts.