Scale Construction of "Breathing" Bi/N-CNSs Quasi-Array Structure with Hierarchical Bi Distribution for Sodium-Ion Battery.

Sodium ion batteries (SIBs) are promising postlithium battery technologies with high safety and low cost. However, their development is hampered by complicated electrode material preparation and unsatisfactory sodium storage performance. Here, a bismuth/N-doped carbon nanosheets (Bi/N-CNSs) composite featuring a quasi-array structure (alternated porous Bi layers and N-CNSs) with hierarchical Bi distribution (large particles of ∼35 nm in Bi layers and ultrafine Bi of ∼8 nm on N-CNSs) is prepared. Bi/N-CNSs delivers an ultralong-lifespan of 26000 cycles at 5 A g-1 and prominent rate capability of 91.5% capacity retention at 100 A g-1. Even at -40 °C, it exhibits a high rate capability of 161 mAh g-1 at 5 A g-1. Notably, the involved preparation method is characterized by a high yield of 14.53 g in a single laboratory batch, which can be further scaled up, and such a method can also be extended to synthesize other metallic-based materials.

Development of a multidomain gender norm attitude scale for youth in Bangladesh.

Objective: Gender norms shape individuals' perceptions and behaviours, particularly concerning health outcomes. However, the lack of comprehensive gender norm attitude measures in low- and middle-income countries, including Bangladesh, impedes gender-transformative efforts. This study introduces the Multidomain Gender Norm Attitude Scale (M-GNAS) to evaluate gender norm attitudes among Bangladeshi youths. Method: Three sequential studies were conducted in Bangladesh in 2022 to develop the M-GNAS. Study 1 engaged 124 participants in focus group discussions, generating a 40-item pool reflecting prevalent gender norms. Study 2 involved 1374 youths (mean age 26.82, SD 5.50) to finalise the M-GNAS items and explore its latent structure through exploratory factor analysis (EFA). Study 3, with 1416 participants of similar age, used confirmatory factor analysis (CFA) to assess structural validity and structural equation modelling to evaluate measurement invariance (MI) across genders. Results: EFA identified a four-domain solution with 13 items: gender-appropriate behaviour, family financial decisions, family responsibility, and career choice. CFA supported this four-domain solution (CFI=0.96, TLI=0.95; RMSEA=0.07; SRMR=0.04). MI across gender was well established (CFI & TLI>0.95, RMSEA≤0.06, SRMR<0.6). Higher education was associated with more egalitarian attitudes (F (5, 1408) = 7.25, p < 0.001), supporting the scale's construct validity. Conclusion: The M-GNAS is a psychometrically robust tool for assessing youths' attitudes toward prevalent gender norm domains in Bangladesh. It holds the potential for contributing to gender-transformative programmes and could be applied in similar initiatives across developing nations, contingent upon appropriate validation.

Mind the gap: Development and validation of an evolutionary mismatched lifestyle scale and its impact on health and wellbeing.

Identifying an integrative framework that could appropriately delineate underlying mechanisms and individual risk/protective factors for human health has remained elusive. Evolutionary mismatch theory provides a comprehensive, integrative model for understanding the underlying causes and mechanisms of a wide range of modern health and well-being problems, ranging from obesity to depression. Despite growing interest regarding its importance though, no psychometrically-sound measure of evolutionary mismatch yet exists to facilitate research and intervention. To construct such a scale, aimed at gauging individual differences in the extent to which people's modern lifestyles are mismatched with ancestral conditions, we conducted four studies (a pilot study, followed by 3 main studies, with a final sample of 1901 participants across the main studies). Results from exploratory and confirmatory factor analyses have produced a 36-item evolutionary mismatched lifestyle scale (EMLS) with 7 subdomains of mismatched behaviours (e.g., diet, physical activity, relationships, social media use) that is psychometrically sound. Further, the EMLS is associated with physical, mental and subjective health. We explore the potential of the EMLS as a tool for examining interpersonal and cultural variations in health and wellbeing, while also discussing the limitations of the scale and future directions in relation to further psychometric examinations.

Validating the AI-assisted second language (L2) learning attitude scale for Chinese college students and its correlation with L2 proficiency.

The positive impact of Artificial Intelligence (AI) on second language (L2) learning is well-documented. An individual's attitude toward AI significantly influences its adoption. Despite this, no specific scale has been designed to measure this attitude, particularly in the Chinese context. To address this gap, our study aims to construct the AI-Assisted L2 Learning Attitude Scale for Chinese College Students (AL2AS-CCS) and evaluate its reliability, validity, and relationship with L2 proficiency. Our research comprises two phases, each involving separate samples. In Phase One (Sample 1: n = 379), we conducted exploratory factor analysis (EFA) to determine the factor structure of the AL2AS-CCS. The resulting two-factor structure consists of 12 items, categorized into cognitive and behavioral components. In Phase Two (Sample 2: n = 429), we performed confirmatory factor analysis (CFA) to validate the factor structure and assess model fit. CFA in Sample 2 confirmed the factor structure and demonstrated a good model fit. Additionally, the AL2AS-CCS exhibited high criterion validity, internal consistency, and cross-gender invariance. Our findings suggest that the AL2AS-CCS is a valid measurement tool for assessing Chinese college students' attitude toward AI-assisted L2 learning. Moreover, Chinese college students were discovered to maintain a moderately positive attitude toward AI-assisted L2 learning. Additionally, a positive correlation was identified between this attitude and their L2 proficiency.

Alike but not the same: Psychological profiles of COVID-19 vaccine skeptics.

One of the challenges of the SARS-CoV-2 pandemic was a widespread skepticism about vaccination. To elucidate the underlying mental and emotional predispositions, we examined a sample of 1428 participants using latent profile analysis (LPA) on selected personality trait variables, mental health status, and measures of irrational beliefs. LPA revealed five distinct profiles: two classes of non-skeptics and three of skeptics. The smaller non-skeptic class reported the highest rates of mental health problems, along with high levels of neuroticism, hostility, interpersonal sensitivity, and external locus of control. The larger non-skeptic class was psychologically well-balanced. Conversely, the skeptic groups shared strong distrust of COVID-19 vaccination but differed in emotional and mental profiles, leading to graded differences in endorsing extreme conspiracy beliefs. This suggests that vaccine skepticism is not solely a result of mental illness or emotional instability; rather extreme skepticism manifests as a nuanced, graded phenomenon contingent on personality traits and conspirational beliefs.

Construction and Validation of the Belief in Divine Retribution Scale for Pakistani Muslims.

The purpose of the study was to construct and validate a Belief in Divine Retribution Scale for the Pakistani Muslim population. The process of construction and validation was completed by following standardized guidelines for scale construction (Boateng et al., 2018). The present study was carried out in four phases. In phase I, the task of item generation was completed through literature review and interviews (inductive and deductive approaches). Phase II aimed at exploration of factor structure. Exploratory factor analysis was carried out on a sample of seven hundred Muslim participants. Data for EFA were collected through a purposive sampling technique, which comprised both men (n = 339) and women (n = 361) with an age range of 18 to 69 years. Results of EFA revealed a two-factor structure with a cumulative variance of 42.59 and with a Cronbach alpha reliability of .83. To confirm the obtained factor structure, Phase III was carried out on a sample of three hundred Muslim participants. The results of CFA confirmed the two-dimensional factor structure with a good model fit to the data. Phase IV provided evidence of convergent and discriminant validity of the scale. Moreover, data for validation were collected from an independent sample (N = 204). Finally, the results of validation revealed that there exists a significant positive correlation of Belief in Divine Retribution Scale with Belief in Just World Scale, which provided evidence of convergent validity. However, there exists a non-significant correlation of Belief in Divine Retribution Scale with Religious Practice Subscale of Short Muslim Practice and Belief Scale, and it provided evidence of discriminant validity. Implications along with limitations and suggestions for future research have also been mentioned.

Constructing the scale to measure entrepreneurial traits by using the modified delphi method.

Higher entrepreneurial traits significantly increase the likelihood of graduate students venturing into entrepreneurship. This study intended to develop a scale for assessing the entrepreneurial traits of graduate students, recognizing a gap in existing literature and measurement tools predominantly developed for countries with conducive entrepreneurial climates. Aligned with Ajzen's theory of planned behavior, the study employed a modified Delphi method, including prototype development, two Delphi surveys, and subsequent statistical analyses. The robustness of the final items and scale in effectively capturing the entrepreneurial traits of graduate students is supported by descriptive statistical analyses (SD ≤ 1.5, Interquartile Range ≤1, and Level of Agreement ≥70%), content validity analysis (I-CVI≥ 0.8, S-CVI/Ave = 0.92; S-CVI/UA = 0.4), and Kendall's Coefficient of Concordance analysis (X2 (37, N = 30) = 700.504, W = 0.631, p < 0.01). Ultimately, the scale comprises 38 items organized into three overarching thematic areas: life philosophy, creating and utilizing mindset, and supportive and motivating environment. Consistent with existing literature, entrepreneurial traits are intricately linked to individuals' life perspectives, often characterized by a desire for self-autonomy. Additionally, the ability to create or leverage available resources and the presence of a conducive external environment emerge as pivotal dimensions in entrepreneurial traits. Notably, the study highlights the critical influence of a country's environment and policies, mainly through university courses and short-term programs, in shaping the development of entrepreneurial traits.

Feeling hopeful: development and validation of the trait emotion hope scale.

While prominent measures of hope are largely cognitive in nature, many scholars and laypeople view hope primarily as an emotion. Although Snyder's Elaborated Hope Theory attempts to theoretically balance these two perspectives, no measure yet exists of hope as a purely emotional process, only as a cognitive process. Overlooking the emotional features of hope limits our ability to more fully and precisely understand this construct. As such, across three studies (N = 2,900), we develop and validate the Trait Emotion Hope Scale (TEHS). In Study 1, we report on item development and piloting of the TEHS, examining internal consistency as well as convergent and discriminant validity. Study 2 includes an exploratory factor analysis (EFA) and further examines internal consistency and construct validity. Finally, in Study 3 we report a confirmatory factor analysis (CFA) to cross-validate the factor structure identified in Study 2 in a large, international sample. Importantly, we find that the TEHS accounts for significant unique variance beyond cognitive hope, indicating that the two constructs are distinct and not redundant. Taken together, these three studies demonstrate that the TEHS is psychometrically sound and provides a valid measure for those interested in examining hope as an emotion in their research.

Chromosome-level genome of Ambrosia trifida provides insights into adaptation and the evolution of pollen allergens.

Ambrosia trifida (giant ragweed) is an invasive plant that can cause serious damage to natural ecosystems and severe respiratory allergies. However, the genomic basis of invasive adaptation and pollen allergens in Ambrosia species remain largely unknown. Here, we present a 1.66 Gb chromosome-scale reference genome for giant ragweed and identified multiple types of genome duplications, which are responsible for its rapid environmental adaptation and pollen development. The largest copies number and species-specific expansions of resistance-related gene families compared to Heliantheae alliance might contribute to resist stresses, pathogens and rapid adaptation. To extend the knowledge of evolutionary process of allergic pollen proteins, we predicted 26 and 168 potential pollen allergen candidates for giant ragweed and other Asteraceae plant species by combining machine learning and identity screening. Interestingly, we observed a specific tandemly repeated array for potential allergenic pectate lyases among Ambrosia species. Rapid evolutionary rates on putative pectate lyase allergens may imply a crucial role of nonsynonymous mutations on amino acid residues for plant biological function and allergenicity. Altogether, this study provides insight into the molecular ecological adaptation and putative pollen allergens prediction that will be helpful in promoting invasion genomic research and evolution of putative pollen allergy in giant ragweed.

Toward a new model of human resource management practices: construction and validation of the High Wellbeing and Performance Work System Scale.

Introduction: The integrated mutual gains model suggests five provisional sets of human resource management (HRM) practices that should benefit both employees and organizations and, as such, be explicitly designed to have a positive impact on wellbeing, which, in turn, can affect performance. Methods: An extensive review of the literature on scales that used a high-performance work system to assess HRM practices, as well as an extraction of items related to the theoretical dimensions of the integrated mutual gains model, were performed. Based on these preliminary steps, an initial scale with the 66 items found most relevant in the literature was developed and assessed regarding its factorial structure, internal consistency, and reliability over a two-week period. Results: Exploratory factorial analysis following test -retest resulted in a 42-item scale for measuring 11 HRM practices. Confirmatory factor analyses resulted in a 36-item instrument for measuring 10 HRM practices and showed adequate validity and reliability. Discussion: Even though the five provisional sets of practices were not validated, the practices that emerged from them were assembled into alternative sets of practices. These sets of practices reflect HRM activities that are considered conducive to employees' wellbeing and, consequently, their job performance. Consequently, the "High Wellbeing and Performance Work System Scale" was created. Nonetheless, future research is necessary to evaluate the predictive capacity of this new scale.

Development and Validation of the Multidimensional Psychosocial Risk Screen (MPRS): An Approach towards Primary Prevention.

Background: The prevalence of mental health problems in adolescents has been identified as a global concern. Early screening and identification can offer benefits in terms of primary prevention and reduced healthcare costs. This study aimed to develop a tool to assess the risk of developing mental health problems in adolescents. Methods: The study followed an exploratory sequential design and was divided into five phases. The Multidimensional Psychosocial Risk Screen (MPRS) is a newly developed self-report measure. The various steps in its development and validation have been elaborated. The MPRS was evaluated with a sample of 934 adolescents aged 12-18, spread across the 8th-12th grade. Results: Exploratory and confirmatory factor analyses revealed a robust factor structure. The extracted five factors were named as Parent-Child Relationship (PCR), Self-Concept (SC), Teacher-Student Dynamics (TSD), Social Media Use (SMU), and Peer Interaction (PI). The reliability of the subscales ranged from 0.60 to 0.80. The overall reliability of the scale was good (a = 0.87). Convergent validity of the scale was established using standard measures of risk factors and emotional and behavioural problems. Conclusions: The MPRS can be considered an effective tool with an adequate factor structure and good psychometric properties. It can be beneficial in the early detection of vulnerabilities to mental health problems in adolescents and, therefore, seen as a key element in primary prevention and fostering individualized interventions.

Psychometric properties of Psychosocial Inventory for Caregivers (PIC) scale.

Background: There are various psychosocial challenges associated with caregiving in persons with mental illness. So, the present study attempts to develop a 62 itemed Psychosocial Inventory for Caregivers (PIC) scale in order to assess the different psychosocial problems in caregivers of persons with mental illness. Aim and Objective: The study aims to develop and test the PIC scale in a population with the objective to assess its reliability and validity. Methodology: The present study used a cross-sectional descriptive research design. Caregivers of persons with mental illness were the samples for the present study. Convenient sampling was used to collect 340 samples, based on the item-to-response ratio of 1:4. The study was conducted in the in-patient/out-patient department of LGBRIMH, Tezpur, Assam. Permission to conduct the study was taken from Institutes Ethics Committee (IEC). Proper written consent was taken from the participants after explaining to them the study. Result: Confirmatory factor analysis (CFA) was performed in SPSS version 25.0. The internal consistency of the PIC scale was found to be 0.88. The convergent validity of the PIC scale was acceptable because the average variance extracted (AVE) was above 0.50. The square root of the average variance explained was greater than the inter-factor correlation of the PIC scale, hence, discriminant validity was established. Conclusion: With the development of a PIC scale, a comprehensive assessment can be done to know the various factors and consequences related to caregivers of a person with mental illness.

Development and psychometric evaluation of the Man-Made Disaster-Related Distress Scale (MMDS).

Man-made disasters (MMD2) are a widespread cause for psychological burden, both in directly and indirectly affected regions, as currently highlighted by the Russian invasion of Ukraine. Yet, measurement instruments that assess psychological distress associated with MMD are lacking. The study aimed to develop and validate such an instrument in an indirectly affected region. The resulting "man-made disaster-related distress scale" (MMDS) was tested within a German-speaking sample (N = 327). Exploratory and confirmatory factor analysis revealed a two-factorial structure ("Psychological distress" and "Change of existing belief systems") of the MMDS. The confirmatory model had an acceptable to good fit with CFI/TLI higher than 0.90. Internal consistency of the MMDS and its subscales was high with α and ω higher than 0.80. Correlational analyses suggested convergent, discriminant, and criterion validity. Measurement invariance was confirmed for gender and age with a change in CFI smaller than 0.01 but was rejected for educational level. The MMDS resulted in a 14-item assessment instrument based on a 7-point Likert-scale with good psychometric properties. Its administration is readily and economical, yielding the option to be used as a standardized measurement tool.

Prejudice toward people with borderline personality disorder: Application of the prejudice toward people with mental illness framework.

BACKGROUND: People living with borderline personality disorder (BPD) face high levels of prejudice and discrimination from both the community and medical professionals, but no measure of prejudice toward people living with BPD exists. AIMS: The current study aimed to adapt an existing Prejudice toward People with Mental Illness (PPMI) scale and investigate the structure and nomological network of prejudice toward people with BPD. METHODS: The original 28-item PPMI scale was adapted to create the Prejudice toward People with Borderline Personality Disorder (PPBPD) scale. The scale and related measures were completed by three samples: 217 medical or clinical psychology students, 303 psychology undergraduate students, and 314 adults from the general population. RESULTS: The original four-factor structure of the PPMI was supported in the PPBPD scale. Reported prejudice toward people with BPD was more negative than prejudice toward people with mental illness in general. The association of the PPBPD scale with antecedents and consequences was assessed, including social dominance orientation, right-wing authoritarianism, ethnocentrism, personality traits, empathy, prior contact, and feelings toward other stigmatized groups and mental illnesses. CONCLUSIONS: This study provided evidence for the validity and psychometric properties of the PPBPD scale across three samples and investigated anticipated relationships with theoretically related antecedents and consequences. This research will help improve understanding of the expressions underlying prejudice toward people with BPD.

Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives.

This review summarizes the current state of the art of statistical and (survey) methodological research on measurement (non)invariance, which is considered a core challenge for the comparative social sciences. After outlining the historical roots, conceptual details, and standard procedures for measurement invariance testing, the paper focuses in particular on the statistical developments that have been achieved in the last 10 years. These include Bayesian approximate measurement invariance, the alignment method, measurement invariance testing within the multilevel modeling framework, mixture multigroup factor analysis, the measurement invariance explorer, and the response shift-true change decomposition approach. Furthermore, the contribution of survey methodological research to the construction of invariant measurement instruments is explicitly addressed and highlighted, including the issues of design decisions, pretesting, scale adoption, and translation. The paper ends with an outlook on future research perspectives.

The Road to Hell Is Paved With Good Intentions: How Common Practices in Scale Construction Hurt Validity.

Sound scale construction is pivotal to the measurement of psychological constructs. Common item sampling procedures emphasize aspects of reliability to the disadvantage of aspects of validity, which are less tangible. We use a health knowledge test as an example to demonstrate how item sampling strategies that focus on either factor saturation or construct coverage influence scale composition and demonstrate how to find a trade-off between these two opposing needs. More specifically, we compile three 75-item health knowledge scales using Ant Colony Optimization, a metaheuristic algorithm that is inspired by the foraging behavior of ants, to optimize factor saturation, construct coverage, or a compromise of both. We demonstrate that our approach is well suited to balance out construct coverage and factor saturation when constructing a health knowledge test. Finally, we discuss conceptual problems with the modeling of declarative knowledge and provide recommendations for the assessment of health knowledge.

Machine learning item selection for short scale construction: A proof-of-concept using the SIMS.

ObjectiveThis proof-of-concept paper provides evidence to support machine learning (ML) as a valid alternative to traditional psychometric techniques in the development of short forms of longer parent psychological tests. ML comprises a variety of feature selection techniques that can be efficiently applied to identify the set of items that best replicates the characteristics of the original test. MethodsIn the present study, we integrated a dataset of 329 participants from published and unpublished datasets used in previous research on the Structured Inventory of Malingered Symptomatology (SIMS) to develop a short version of the scale. The SIMS is a multi-axial self-report questionnaire and a highly efficient psychometric measure of symptom validity, which is frequently applied in forensic settings. Results State-of-the-art ML item selection techniques achieved a 72% reduction in length while capturing 92% of the variance of the original SIMS. The new SIMS short form now consists of 21 items. ConclusionsThe results suggest that the proposed ML-based item selection technique represents a promising alternative to standard psychometric correlation-based methods (i.e. item selection, item response theory), especially when selection techniques (e.g. wrapper) are employed that evaluate global, rather than local, item value.

A motivational approach to perfectionism and striving for excellence: Development of a new continuum-based scale for post-secondary students.

Perfectionism has been the object of many disputes. One such debate pertains to the nature of perfectionistic strivings. Whereas perfectionistic concerns (PC) have been shown to correlate with negative outcomes, perfectionistic strivings (PS) have been associated with mixed outcomes. This view of perfectionism assumes a motivational perspective; however, commonly used questionnaires assess motivation only implicitly. To create a more explicit measure of motivation as regard perfectionism, we aimed to assess perfectionism in post-secondary education based on Deci and Ryan's self-determination continuum. We posit that introjected motivation represents the variance common to both dimensions of perfectionism. External motivation is considered to be specific to PC and identified motivation to PS. Amotivation represents a lack of meaningful striving. Intrinsic motivation, lacking perfectionism's pressure, is conceptualized to be a self-determined form of striving for excellence. We further posited that this continuum is implicitly underlain by a continuum of self-definition as defined by Blatt. The resulting questionnaire showed an adequate structure with ESEM, followed a simplex structure, and had adequate reliabilities (Study 1a/Study 2). It also showed adequate convergent validity (Study 1b/Study 2). Finally, the questionnaire proved to be invariant over a 6-week period (Study 2). Results suggest that the degree of active goal pursuit, in addition to standards setting, could be a distinguishing characteristic between dimensions of perfectionism as well as striving for excellence.

A Shorter Form of the Work Extrinsic and Intrinsic Motivation Scale: Construction and Factorial Validation.

While workplace mental health has attracted attention in many countries, work motivation remains under-researched. Research identified that work motivation is associated with many organisational positive outcomes including workplace mental health. One well-recognised measure is the Work Extrinsic and Intrinsic Motivation Scale (WEIMS). Conceptualised on the Self-Determination Theory, this 18-item scale examines six types of work motivation: Intrinsic Motivation, Integrated Regulation, Identified Regulation, Introjected Regulation, External Regulation, and Amotivation. WEIMS can be too long for busy people at work. Accordingly, we constructed and validated a shorter form of WEIMS (SWEIMS), comprising 12 items that evaluate the same six work motivation types. Data collected from two professional samples were analysed to construct and validate the factorial structure: 155 construction workers (138 males and 17 females, Age 40.28 ± 11.05) and 103 hospitality workers (47 males and 56 females, Age 28.2 ± 8.6 years). Correlation analyses and confirmatory factor analyses were performed. Two items from each type were selected based on the strength of correlations with the target WEIMS subscale. SWEIMS demonstrated adequate internal consistency (α ≧ 0.65), and strong correlations with the original version of WEIMS (r = 0.73) in both samples. SWEIMS confirmatory factor analysis replicated the six-factor model of the original SWEIMS. SWEIMS can be a reliable, valid, and user-friendly alternative to WEIMS.

Separate but Related: Dimensions of Healthcare Provider Social Support in Day-Treatment Oncology Units.

Social support by healthcare providers has been increasingly investigated during the past decade, but studies have made different choices concerning its measurement. To evaluate how social support from a healthcare provider impacts the perceived quality of care and patient outcomes, reliable and valid instruments capable of measuring specific aspects of the construct are needed. In study 1, we tested the factor structure and the psychometric properties of a new Healthcare Provider Social Support measure (HPSS) for oncology settings. One-hundred-sixty-two patients (89 females; M age = 58.97, SD age = 13.28) from religious and government-operated hospitals completed the HPSS during day treatment. We modeled the HPSS factor structure to represent four related aspects: Emotional, Informational, Appraisal, and Instrumental social support. Study 2 preliminarily assessed the concurrent validity of the HPSS with patient perceptions of the patient-doctor relationship. Sixty-nine patients (40 females; M age = 53.67, SD age = 13.74) completed the HPPS with scales assessing perceived doctor-patient communication and patient trust in the healthcare provider. Study 1, using Exploratory Structural Equation Modeling, showed that a bifactor model had an excellent fit. The analysis supported the use of subscale scores, which were more tenable than a single total score in terms of bifactor model indices. This conclusion was also supported by greater scalability of the subscales in a Mokken Scale Analysis. Oncology patients treated in the religious hospital perceived greater Emotional, Informational, and Instrumental social support from their healthcare provider than those treated in government-operated. Study 2 showed that patient ratings of healthcare provider social support, except Instrumental, were positively correlated with better doctor communication skills and greater trust in the physician. Multiple regression analyses showed that Informational and Emotional support provided a unique contribution to building trust in the physician, controlling for the doctor's communication skills. The study results showed that the four social support ratings were reliable and valid, sharpening the distinction between functional components in the formal healthcare system.