Psychometric Approach Research Articles

Exploring the Unidimensionality of the GAD-7 for South African First Responders: Evidence from Multiple Psychometric Approaches

Generalized Anxiety Disorder (GAD) is a prevalent mental health condition and the GAD-7 is widely used as a screening tool and measure of GAD severity. However, research has yielded conflicting findings regarding the factor structure of the instrument, with some studies supporting a unidimensional interpretation while others suggest a two-factor solution. These inconsistencies highlight the importance of validating the GAD-7 across diverse populations. This study aimed to assess the psychometric properties and factor structure of the GAD-7 among South African first responders (n = 429). Participants completed a demographic questionnaire along with the GAD-7, the Patient Health Questionnaire, the Post-Traumatic Stress Disorder Checklist, and subscales from the Maslach Burnout Inventory, namely Emotional Exhaustion and Depersonalization. The dimensionality of the GAD-7 was examined using Mokken Scale Analysis (MSA), parallel analysis, and Confirmatory Factor Analysis (CFA) with a Schmid-Leiman transformation. Results supported the unidimensionality of the GAD-7. MSA indicated that all items were loaded onto a single scale, with strong inter-item correlations and a high H-coefficient. The parallel analysis confirmed that only one factor was necessary, and the Schmid-Leiman transformation extracted a general factor accounting for 84% of the item variance. Furthermore, the reliability of the GAD-7 was excellent, with alpha and omega coefficients exceeding 0.90, indicating high internal consistency. The strong reliability and validity of the GAD-7 in this study reinforce its utility as a reliable tool for assessing generalized anxiety in a non-clinical setting.

Inventory of ethical problems in mobile pre-hospital care.

to construct and validate the content of an inventory of ethical problems experienced by nurses in mobile pre-hospital care. a psychometric approach study, developed with the following stages: (1) instrument construction through a theoretical matrix based on deliberative bioethics, scoping review and online qualitative research; (2) content validity by judges; (3) pre-testing with Mobile Emergency Care Service nurses in various Brazilian states. For content validity analysis, the Content Validity Ratio was calculated (CVR>0.45 for judges and CVR>0.35 for the target population). the instrument had 44 items, distributed across four dimensions. the constructed instrument presented sources of evidence of content validity, providing good psychometric measurements and constituting a useful tool for nurses' practice in the pre-hospital setting.

Examining the impact of artificial intelligence capability on dynamic capabilities, organizational creativity and organization performance in public organizations

PurposeThis study aims to evaluate an artificial intelligence (AI) capability scale using resource-based theory and tests its impact on dynamic capabilities and organizational creativity to influence the performance of public organizations.Design/methodology/approachThe study used qualitative and quantitative methods to develop and validate an AI capability scale using an integrative psychometric approach. An initial set of 26 items was selected from the literature for qualitative analysis. Self-reported data from 344 public managers in United Arab Emirates public organizations were used for scale refinement and validation. Hypotheses were tested against theoretically related constructs for nomological validation.FindingsA 23-item AI capability scale was developed. Nomological testing confirmed that AI capability positively and significantly enhances dynamic capabilities, which in turn boosts organizational creativity and improves organizational performance.Originality/valuePrevious information system literature has not sufficiently addressed the importance of organizational-level complementary resources in developing distinctive capabilities within public organizations. Grounded in resource-based theory and recent AI research, this study provides a framework for public sector organizations to assess their AI capabilities. The findings empirically support the proposed theoretical framework, showing that AI capability increases dynamic capabilities, organizational creativity and performance.

Observed Aspects of Mate Value and Sociosexuality Account for Mate Preferences: Data from a Large, Representative Study from Czechia.

While there is substantial research on what people want in their romantic and sexual partners, much of this work focuses on WEIRD, youthful samples, fails to consider the role of undesirable characteristics (i.e., things people do not want in partners) at all, or in conjunction with desirable characteristics (i.e., things people do want in partners), and may be overly reliant on psychometric approaches to pivotal variables in mating psychology like mate value and sociosexuality. In a nationally representative (online) sample of 2280 people from Czechia (aged between 18 and 50 years old), we examined linear and quadratic age, education, and self-perceived mate value (desirability) effects on the desired levels in mate choice of eight undesirable and seven desirable characteristics in men and women in relation to ostensible metrics of mate value. Self-perceived mate value alone explained little variance (men 1%, women 2%), while all mate value and mating strategy indicators together explained little variance of mate preferences and aversions (men 3%, women 5%). Desirable characteristics were better explained by mate value than undesirable ones. Our results are in line with evolutionary predictions suggesting that women are more demanding. Also, more qualities to offer correlate with more expectations in a partner.

Understanding internal dynamics of state anxiety during COVID-19 pandemic: Seven-wave longitudinal findings via panel network analysis.

Research on state anxiety has long been dominated by the traditional psychometric approach that assumes anxiety symptoms have a common cause. Yet state anxiety can be conceptualized as a network system. In this study, we utilized data from the COVID-Dynamic dataset from waves 7 to 13, collected at three-week intervals from June 6, 2020, to October 13, 2020, and included 1,042 valid participants to characterize the internal dynamics of state anxiety. Using the Gaussian graphical model along with strength centrality, we estimated three network models of state anxiety. The between-subjects and contemporaneous network showed numerous positive relations between items and some unexpected negative relations. Three communities were identified in the between-subjects network, and two communities were identified in the contemporaneous network. The temporal network showed the coexistence of positive and negative predictions between items after three weeks. Several items exhibited significant positive autocorrelations after three weeks. These findings have implications for anxiety theory and clinical interventions at between-subjects and within-subjects levels.

The gradient of social determinants of health and related inequalities and early childhood development: Analysis of two rounds of a cross-sectional survey.

Social determinants of health (SDH) have a critical role in child development. Yet these determinants are often overshadowed. This study examines the effect of composites of five SDH on early childhood development (ECD) of children of age 36-59 months. We used two 2013 and 2019 rounds of Multiple Indicator Cluster Survey Bangladesh data. The analytical sample included ECD data for 25 721 children. ECD was computed following United Nations International Children's Emergency Fund's psychometric approach. Three composite indices of SDH were developed to examine their gradient effects on ECD. Poisson regression with robust variance was used to examine the relationship between SDH indices and ECD. The concentration index was computed, and a concentration curve was developed to measure inequalities in being on track of ECD among children with various levels of SDH. Almost 69% of children were on track in their ECD, a higher percentage in 2019 (74.85%) than in 2017 (65.37%). The prevalence of children on track in their ECD significantly rises per unit in the score of three SDH composites (adjusted prevalence ratios are 1.04 (95% confidence interval (CI): 1.03-1.04) for summative and standardised indexes and 1.49 (95% CI: 1.41-1.58) for weighted index). There is almost a linear positive relationship between the SDH composite and ECD. Significant concentration indexes suggest SDH-related inequalities in ECD. Children's early development can be hampered due to unfavourable SDH. Although ECD plays a vital role in creating and maintaining socio-economic and health inequalities through to adulthood, favourable SDH needs to be ensured during childhood.

Unpacking interplays between competitiveness, cooperativeness, and social comparison orientation: A network psychometric approach and replication.

Emerging evidence highlights the role of social comparison in competition and cooperation, yet the dynamics among competitiveness, cooperativeness, and social comparison orientation (SCO) remain underexplored. In the present study, we sought to unravel these complex interplays employing graphical Gaussian models (GGMs) and characterize the network structures utilizing cross-sectional data derived from 1073 Chinese participants. A pre-registered independent sample (n = 1348) served to examine the replicability and robustness of our initial findings. Moreover, we explored the Bayesian networks (i.e., directed acyclic graphs) to delve into their probabilistic directed dependencies. Our analysis identified an interpersonal co-opetition network where SCO bridges competitiveness and cooperativeness, emphasizing the key influence of the desire to surpass others. We also found a significant gender effect on the levels of these orientations but not on the network patterns. Additionally, the replication sample offered validation for the resultant network structure and its key nodes. In sum, these findings provide a new insight into the symbiotic relationship between competitiveness and cooperativeness within the framework of social comparison, offering significant theoretical and practical implications.

Comparable Real-World Patient-Reported Outcomes Data Across Health Conditions, Settings, and Countries: The PROMIS International Collaboration

The patient voice is critical to achieving value-based care, improving health outcomes, and advancing medical research. However, a key challenge is how to translate this “voice” into scientifically valid data that can inform evidence-based clinical decisions. One of the biggest barriers is the sheer variety of available patient-reported outcomes (PROs) and patient-reported outcome measures (PROMs) and the associated challenges of translation, validation, implementation, and interpretation, making it difficult to obtain valid and comparable health outcomes. The authors present a harmonized global approach to international standardization of PROs and PROMs. This approach has the potential to accelerate patient-centered care by facilitating the collection of accurate and comparable real-world evidence on health outcomes that matter most to patients. This proposed approach consists of two elements: a data collection process based on a common set of PROs and a state-of-the-art measurement approach based on item response theory. First, there is growing evidence that outcomes such as pain, fatigue, anxiety, depression, sleep disturbance, physical function, and the ability to participate in social roles and activities are relevant for most people, irrespective of their health condition. Measuring these outcomes routinely in all patients could increase outcome comparability and utility for a range of stakeholders. Second, a measurement strategy based on a state-of-the-art psychometric approach — using item response theory (IRT)-based item banks — offers short, flexible, sustainable, and universally applicable PROMs with robust measurement properties and a common measurement scale. The unique integration of these two elements offers the potential to collect comparable PROM data across patients and providers to support shared decision-making, which may lead to better outcomes. The Patient-Reported Outcomes Measurement Information System (PROMIS) is a globally used example of such an approach. The PROMIS Profile measures serve as a resource for measuring a harmonized core set of PROs across medical conditions, languages, and countries. To meet the United Nations Sustainable Development Goal of ensuring healthy lives and promoting well-being for all, at all ages, a collaborative effort is needed to achieve consensus on international standardization of PROs and PROMs to accelerate patient-centered care across health conditions, settings, and countries. The authors propose to routinely measure a core set of broadly relevant PROs in all patients, regardless of their health condition, with universally applicable IRT-based PROMs.

Workaholism, work engagement, and burnout among academics in Montenegro: A psychometric network approach.

The academic environment is known for its high demands in research, teaching, and administration, that along with increasing publish or perish culture can lead to reduced psychological well-being and mental health issues. This study aimed to investigate the associations between workaholism, work engagement, and burnout among academics in Montenegro. A cross-sectional design was used to develop anonymous online survey. Data was collected from 131 participants employed as teaching and research staff at public and private universities. To measure the variables of interest we used: ultra-short Utrecht Work Engagement Scale (UWES-3), the work-related burnout subscale from the Copenhagen Burnout Inventory (CBI-7) and the Dutch Work Addiction Scale (DUWAS-10). Psychometric network analysis was employed to examine the relationships among variables. The findings revealed two distinct clusters: the first containing the dimensions of work engagement and the second containing burnout and the dimensions of workaholism. The two clusters were connected with the dimensions of dedication - burnout having the strongest edge (-0.25 and -0.40). In the cross-sample network the strongest connection was burnout -working excessively (.35). No significant differences in network density (0.80 (12/15 edges)) and global strength (p = 0.159) in the networks of public and private universities were found. Results of the network centrality and the edge strength analyses suggest that the interventions focused at increasing dedication while not fostering a work environment that encourages working excessively might be the key to preventing and reducing burnout in academia across contexts of public and private universities.

Connecting the dots: using a network approach to study the wellbeing spectrum

In positive psychology, defining the wellbeing construct has been a challenge. We used the psychometric network approach to study the structure of wellbeing. The sample consisted of Dutch adults registered with the Netherlands Twin Register. The variables were measured through standardized surveys. The network was estimated using the Mixed Graphical Models method and least absolute shrinkage and selection operator (LASSO) regularization to limit the number of spurious edges. We estimated a network in a trimming sample (N=1343, 63% females, Mage = 53.18, SDage = 9.45) and in an estimation sample (N=726, 75% females, Mage = 45.27, SDage = 11.12) to examine its performance and accuracy. Our final network consists of a positive cluster including satisfaction with life, subjective happiness, and flourishing items, and a negative cluster including depressive symptoms, loneliness, and neuroticism items. We identified the four most central nodes: one satisfaction with life item, one neuroticism item, and two depression items. This suggests that to get a general sense of the wellbeing construct, these items would serve as most informative. The network approach clearly demonstrates the different, yet connected positive and negative clusters of wellbeing and therefore re-affirms the complex interconnectivity of wellbeing phenotypes. In addition, the network results reject the view of strictly delineated wellbeing domains. Having identified the most central nodes in the network, these can be used in futures studies with limited resources, as they are likely to be the most representative of the wellbeing spectrum.

Measuring original thinking in elementary school: Development and validation of a computational psychometric approach.

Measuring original thinking in elementary school: Development and validation of a computational psychometric approach.

Linking green marketing and SMEs performance: A psychometric meta-analysis

ABSTRACT Drawing on the resource-based theory of the firm, contingency theory, and consumer behavioral theories, we investigate the extent to which green marketing—green products, green pricing, green distribution, and green promotion—influences the performance of small and medium-sized enterprises (SMEs) and how contextual factors (for example, economic sector, economic development, national global sustainable competitiveness, and culture) influence this focal relationship. We analyzed 106 studies with 47,661 observations and 195 study effect sizes using a psychometric meta-analysis approach via subgroup and meta-regression analyses. Our results reveal that green marketing has a positive, moderate effect on the overall firm performance of SMEs and that the most critical antecedent is green promotion, while the performance indicator largely influenced by green marketing is innovation performance. Our moderator analysis shows that contextual factors significantly moderate green marketing/SME performance relationships. The study concludes with the theoretical and managerial implications of these findings.

Neuroticism/Negative Emotionality Is Associated with Increased Reactivity to Uncertain Threat in the Bed Nucleus of the Stria Terminalis, Not the Amygdala.

Neuroticism/negative emotionality (N/NE)-the tendency to experience anxiety, fear, and other negative emotions-is a fundamental dimension of temperament with profound consequences for health, wealth, and well-being. Elevated N/NE is associated with a panoply of adverse outcomes, from reduced socioeconomic attainment to psychiatric illness. Animal research suggests that N/NE reflects heightened reactivity to uncertain threat in the bed nucleus of the stria terminalis (BST) and central nucleus of the amygdala (Ce), but the relevance of these discoveries to humans has remained unclear. Here we used a novel combination of psychometric, psychophysiological, and neuroimaging approaches to test this hypothesis in an ethnoracially diverse, sex-balanced sample of 220 emerging adults selectively recruited to encompass a broad spectrum of N/NE. Cross-validated robust-regression analyses demonstrated that N/NE is preferentially associated with heightened BST activation during the uncertain anticipation of a genuinely distressing threat (aversive multimodal stimulation), whereas N/NE was unrelated to BST activation during certain-threat anticipation, Ce activation during either type of threat anticipation, or BST/Ce reactivity to threat-related faces. It is often assumed that different threat paradigms are interchangeable assays of individual differences in brain function, yet this has rarely been tested. Our results revealed negligible associations between BST/Ce reactivity to the anticipation of threat and the presentation of threat-related faces, indicating that the two tasks are nonfungible. These observations provide a framework for conceptualizing emotional traits and disorders; for guiding the design and interpretation of biobank and other neuroimaging studies of psychiatric risk, disease, and treatment; and for refining mechanistic research.

Development of a PROMIS multidimensional cancer-related fatigue (mCRF) form using modern psychometric techniques.

To develop a PRO assessment of multidimensional cancer-related fatigue based on the PROMIS fatigue assessments. Cancer patients reporting fatigue were recruited from a comprehensive cancer care center and completed a survey including 39 items from the PROMIS Cancer Item Bank-Fatigue. Component and factor structures of the fatigue items were explored with Monte Carlo parallel factor and Mokken analyses, respectively. Psychometric properties were determined using item response theory, ensuring unidimensionality, scalability, and item independence. Fatigue scores from a sample of 333 fatigued cancer patients (mean age = 59.50, SD = 11.62, 67% women) were used in all scale development analyses. Psychometric analyses yielded 3 dimensions: motivational fatigue (15 items), cognitive fatigue (9 items), and physical fatigue (9 items). The subscales showed strong unidimensionality, were scalable, and were free of differential item function. Confirmatory factor analyses in a new sample of 182 patients confirmed the findings. The resulting 33-item PROMIS multidimensional cancer-related fatigue (mCRF) form provides a novel measure for the assessment of the different dimensions of cancer-related fatigue. It is the only multidimensional scale specific for cancer patients that has been developed using modern psychometric approaches. With its 3 dimensions (motivational, cognitive, and physical fatigue), this scale accurately captures the fatigue experienced by cancer patients, allowing clinicians to optimize fatigue management and improve patient care. The scale could also advance research on the nature and experience of cancer-related fatigue.

PENGEMBANGAN INSTRUMEN UNTUK MENGUKUR KOMPETENSI SOSIAL GURU BERBASIS GENDER EQUALITY AND SOCIAL INCLUSION (GESI) DI SEKOLAH INKLUSI

The social competence of teachers based on gender equality and social inclusion (GESI) in this research is the teacher's ability to communicate with children with special needs based on managing social dynamics and the teacher's framework for promoting social inclusion. The aim of this research is to create an instrument to measure teachers' social competence based on gender equality and social inclusion (GESI). The research method used is quantitative descriptive research. The development of the questionnaire in this study incorporates a measurement framework that provides a systematic method based on a combination of theoretical and psychometric approaches. The sample was 91 teachers who taught in four Bandung City State Elementary Schools. Based on the research results, data was obtained that the GESI-based social competency questionnaire consists of three aspects, namely attitudes towards inclusive education, empathy for students with special needs, and problem solving. The number of items in the questionnaire, namely 36 items, has met the standards of reliability, content validity, construct validity, and provides initial evidence for the use of the instrument with the aim of measuring the social competence of GESI-based teachers in inclusive schools.

Network Analysis of Childhood Maltreatment, Anxiety, and Addictive Non-Suicidal Self-injury in Adolescents

AbstractNon-suicidal self-injury (NSSI) in adolescents is becoming a widespread health issue. Recent studies have suggested that repetitive NSSI is crucial in NSSI adolescents and can be conceptualized as an “addictive behavior.” The aim of this cross-sectional study was to explore the network relationships among child maltreatment, anxiety, and addictive NSSI in adolescents. In total, 542 adolescents (14.07 ± 2.15 years old, 18.6% males) with NSSI behavior completed the related questionnaires. Two types of psychometric approaches were used to analyze the data. First, the network analysis showed that emotional abuse (Expected Influence: 1.20) had the most central role among the networks, and the edges of emotional abuse–anxiety (weight: 0.25), emotional abuse-addictive NSSI (weight: 0.20), and anxiety–addictive NSSI (weight: 0.19) showed stronger positive associations of trans-symptom edges. Second, the network comparison test was used to examine the network differences between the male and female groups; however, no network differences were found. Overall, among all types of childhood maltreatment, our results suggest that emotional abuse should be more emphasized to prevent long-term mental adverse outcomes and addictive NSSI, and that anxiety may also mediate emotional abuse and addictive NSSI in NSSI adolescents.

Neuroticism/negative emotionality is associated with increased reactivity to uncertain threat in the bed nucleus of the stria terminalis, not the amygdala.

Neuroticism/Negative Emotionality (N/NE)-the tendency to experience anxiety, fear, and other negative emotions-is a fundamental dimension of temperament with profound consequences for health, wealth, and wellbeing. Elevated N/NE is associated with a panoply of adverse outcomes, from reduced socioeconomic attainment to psychiatric illness. Animal research suggests that N/NE reflects heightened reactivity to uncertain threat in the bed nucleus of the stria terminalis (BST) and central nucleus of the amygdala (Ce), but the relevance of these discoveries to humans has remained unclear. Here we used a novel combination of psychometric, psychophysiological, and neuroimaging approaches to rigorously test this hypothesis in an ethnoracially diverse, sex-balanced sample of 220 emerging adults selectively recruited to encompass a broad spectrum of N/NE. Cross-validated robust-regression analyses demonstrated that N/NE is preferentially associated with heightened BST activation during the uncertain anticipation of a genuinely distressing threat (aversive multimodal stimulation), whereas N/NE was unrelated to BST activation during certain-threat anticipation, Ce activation during either type of threat anticipation, or BST/Ce reactivity to threat-related faces. It is often assumed that different threat paradigms are interchangeable assays of individual differences in brain function, yet this has rarely been tested. Our results revealed negligible associations between BST/Ce reactivity to the anticipation of threat and the presentation of threat-related faces, indicating that the two tasks are non-fungible. These observations provide a framework for conceptualizing emotional traits and disorders; for guiding the design and interpretation of biobank and other neuroimaging studies of psychiatric risk, disease, and treatment; and for informing mechanistic research.

New Psychometric Evidence of the Grief Impairment Scale (GIS) in People Who Have Experienced the Death of a Loved One From a Network Psychometric Approach in Two Latin American Countries.

This study aimed to evaluate the psychometric properties of the Grief Impairment Scale (GIS) using a network psychometric model. A total of 1048 individuals from Peru and El Salvador participated. A network psychometric model was used to determine internal structure, reliability, and cross-country invariance. The results indicate that the GIS items were grouped into a single network structure through Exploratory Graph Analysis. Reliability was estimated by structural consistency, and it was found that when replicating the network structure within an empirical dimension, a single network structure was consistently obtained, and all items remained stable. Furthermore, the network structure was invariant, thus functioning similarly across the different country groups. In conclusion, the GIS presented solid psychometric evidence of validity based on its internal structure, reliability, and cross-country invariance. Therefore, the GIS is a psychometrically sound measure of functional impairment symptoms due to grief for Peruvian and Salvadoran individuals.

Developing a Whole Child School Screening Instrument: Evaluating Perceived Usability as an Initial Step in Planning for Consequential Validity

We are developing the Equitable Screening to Support Youth (ESSY) Whole Child Screener to address concerns prevalent in existing school-based screenings that impede goals to advance educational equity using universal screeners. Traditional assessment development does not include end users in the early development phases, instead relying on a psychometric approach. In working to develop the ESSY Whole Child Screener, we are integrating a mixed methods approach with attention to consequential validity from the outset of measure development. This approach includes end users in measure development decisions. In this study, we interviewed a diverse sample of school staff (n = 7), administrators (n = 3), and family caregivers (n = 8) to solicit their perceptions of the usability of the initial draft of the ESSY Whole Child Screener. We identified three overarching themes: (1) paving the road for implementation of a whole child screener, (2) potential roadblocks to use, and (3) suggested paths forward to maximize positive intended consequences. Paving the road for implementation of a whole child screener includes subthemes related to alignment with existing initiatives, comprehensive yet efficient design, and potential positive consequences of assessing the whole child. Potential roadblocks to use includes subthemes of staff buy-in, family comfort with contextual screening items, teacher accuracy, and school capacity to provide indicated supports. Suggested paths forward to maximize positive intended consequences include clear and precise messaging to staff and families, optimizing instrumentation and data collection procedures, and strengthening connections to data interpretation and use. We discuss next steps in the design and testing of the initial measure as well as assessment development more broadly.

Eco-innovation and SMEs’ sustainable performance: a meta-analysis

PurposeThe study aims to build upon the Resource-based view of the firm (RBV) and Dynamic Capability Theory (DCT) to perform a meta-analysis on the eco-innovation/SMEs’ sustainable performance relationship.Design/methodology/approachEmploying a psychometric meta-analytic approach with a random-effects model, the study examines a sample of 134,841 SMEs covering 99 studies and 233 study effects. Subgroup and meta-regression analysis were used to test the study`s hypotheses in Comprehensive Meta-Analysis (CMA) statistical software.FindingsResults unveil that the average impact of eco-innovation on SMEs` sustainable performance is positively significant but moderate. Moreover, it was found that eco-process, eco-product, eco-organizational, and eco-marketing innovations positively influence SMEs’ sustainable performance, but the impact of eco-organizational innovation is the strongest. Findings further reveal that eco-innovation positively influences economic, social, and environmental performance, but its effect on social performance is the largest. Moreover, our findings reveal that contextual factors, including industry type, culture, industry intensity, global sustainable competitive index, and human development index, moderate the eco-innovation/SMEs’ sustainable performance relationship. Lastly, methodological factors, namely sampling technique, study type, and publication status, account for study-study variance.Practical implicationsOur findings imply that investing in eco-innovation is worthwhile for SMEs. Therefore, CEOs/managers of SMEs must adopt eco-innovation initiatives by establishing a sustainability vision, developing employee environmental development and training, building a stakeholder management system, and promoting employee engagement in sustainability activities.Originality/valueThe study develops a holistic conceptual framework to consolidate the distinct types of eco-innovation and their association with the sustainable performance of SMEs for the first time in this research stream, thereby resolving the anecdotal results and synthesizing the fragmented literature across culture, discipline, and contexts.