The Brazilian version of the 5-item Work Role Functioning Questionnaire 2.0 (WRFQ-5) has adequate measurement properties in workers with chronic pain.

Anhedonia, a cardinal feature of depressive disorders, is classically defined as an inability to experience pleasure, but modern definitions also encompass deficits in anticipatory pleasure and motivation. Validated scales and behavioural tasks have evolved alongside these conceptual shifts, and when integrated with computational modelling, may help reveal mechanisms underlying anhedonia. Reinforcement learning (RL) is the dominant computational framework for studying anhedonia, but fails to fully capture anticipation and motivation. We reviewed the operationalization and measurement of anhedonia from a historical perspective, and conducted a scoping review and critical appraisal of 37 past studies that included computational models of anhedonia using a structured appraisal guide to assess face, construct and predictive validity. We focussed on generative models (i.e., models that can simulate behavioural data) that were paired with measures of anhedonia in both clinical and non-clinical samples. Model types include RL models, RL integrated with functional magnetic resonance imaging, RL integrated with electroencephalography, and models of decision making, effort expenditure, selective attention, and self-referential/memory processes. Our review suggests that anhedonia-related deficits span not only reward processing, but also executive and sensory processing. Models generally demonstrated face validity, lacked predictive validity, and showed construct validity for cognitive-behavioural, but not neurobiological, domains. We propose an integrative, systems neuroscience-inspired approach, which aligns with multidimensional definitions of anhedonia.

French physical activity perception questionnaire for chronic low back pain: development and preliminary validation.

Psychometric evaluation of ICIQ-CLUTS and comparison with the DVSS questionnaires in a pediatric population in Farsi.

This study aimed to assess the validity and reliability of the Turkish version of the Rapid Sarcopenia Screening (RSS) tool, designed to provide a quick and practical method for identifying sarcopenia in older adults. A cross-sectional observational study was conducted among 150 individuals aged 60 years and older attending a geriatric outpatient clinic in Türkiye. The RSS underwent forward-backward translation and linguistic validation. Construct validity was examined by correlation with the SARC-F. Internal consistency was assessed using Cronbach's alpha, whereas intra-rater and inter-rater reliability were evaluated with intraclass correlation coefficients (ICCs). Discriminant validity was analysed using receiver operating characteristic (ROC) curves. The median age of participants was 75 years (range: 62-103), and 59% were female. According to EWGSOP2 criteria, 27% were diagnosed with sarcopenia. The RSS showed good internal consistency (Cronbach's alpha = 0.768). A strong inverse correlation with SARC-F scores (rho = -0.688, p < 0.001) supported construct validity. ROC analysis demonstrated good discriminatory power (AUC = 0.817). Reliability was also excellent, with intra-rater and inter-rater ICCs of 0.980 and 0.963, respectively. The Turkish RSS is a valid, reliable and practical screening tool for detecting sarcopenia in older adults. Its brevity and reliance on self-reported items support its feasibility for routine clinical practice and suggest its potential as an alternative screening method in Türkiye.

Development and Validation of CLARITY (Clinical and Life-impact Assessment of RadiologY): A Patient-Reported Outcome Measure for Medical Imaging - Study Protocol.

Cognitive screening is a vital part of geriatric emergency department (ED) care. Performance-based functional cognitive measures may better identify impairments and predict post-discharge outcomes in daily activities. Currently, there is no evidence base informing the selection of suitable functional cognition instruments for emergency care. We conducted a systematic review to find psychometrically sound clinically useful instruments for assessing functional cognition in older adults in the ED. Six databases were searched to identify performance-based instruments measuring functional cognition and related psychometric studies, using COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). Studies with a mean age under 65 were excluded. Clinical utility in the ED was evaluated using a newly updated, author-designed, criterion-based consensus matrix. Results were synthesised into a best-evidence summary. We identified 28 instruments and 44 adaptations across 138 studies assessing eight of the nine measurement properties. Construct validity (discriminative and convergent) was most frequently evaluated (87 %). Three instruments met all eight clinical utility criteria; however, none have been tested in ED: the Texas Functional Living Scale (moderate-high sufficient construct validity); the Menu Task (moderate-high sufficient construct validity, low-very low sufficient internal consistency and reliability), and the Pillbox Test (moderate sufficient predictive, high sufficient discriminative, moderate inconsistent convergent validity). Overall, 61 % of psychometric studies were rated as very good methodological quality. Our study is the first to identify existing instruments with established psychometric evidence that also meet clinical utility criteria for use with older adults in the ED. Robust studies are urgently needed to evaluate predictive validity for post-discharge outcomes.

Depression and anxiety are among the most prevalent mental health disorders worldwide, yet existing diagnostic tools do not always align with contemporary classification systems such as the International Classification of Diseases-11 (ICD-11). The study aimed to evaluate the validity and reliability of the International Depression Questionnaire (IDQ) and the International Anxiety Questionnaire (IAQ) in the Turkish population. The primary objectives were to assess the psychometric properties of these new health assessment tools, the only based on the ICD-11, in a culturally diverse setting. Participants were recruited through online survey platforms and university announcements, ensuring a diverse representation of the Turkish adult population. The sample consisted of 2894 individuals (1097 male, 1797 female) aged 18-65, including university students, and community members from various socioeconomic backgrounds. Factor analysis revealed that the IDQ and IAQ maintained their original factor structures, supporting their construct validity. The internal consistency of both the IDQ and IAQ was high, with Cronbach's α coefficients exceeding the threshold of 0.70, indicating acceptable reliability. These tools can be confidently used in both clinical and research settings, facilitating better mental health assessment and intervention strategies in Turkey. The findings suggest that the Turkish versions of the IDQ and the are valid and reliable tools for assessing the severity of depression and anxiety symptoms in Turkish adults. These instruments can support both clinical and research efforts by facilitating early identification of individuals who may benefit from further psychological evaluation.

Validity and reliability of arthrometer-based measures of the first ray relative and absolute mobility: A cadaveric biomechanical study.

People worldwide use risky, potentially harmful cosmetic procedures to change their appearance. The newly developed Risky Appearance Altering Behaviours Inventory (RAABI) measures interest and engagement in appearance-altering behaviours, including surgical and non-surgical cosmetic procedures, diet pills, skin bleaching and hair straightening. RAABI items were constructed based on focus groups across diverse cultural contexts. Using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), exploratory structural equation modelling (ESEM) and bifactor ESEM, we examined the psychometric properties of the RAABI among women from the UK (N = 784, Mage = 27.8, SD = 12.09) and Colombia (N = 589, Mage = 21.43, SD = 2.96). We examined construct validity, composite reliability and longitudinal reliability (test-retest and invariance over 2 weeks), and assessed the fit of an extended Tripartite Influence Model (TIM) including the RAABI as an outcome alongside eating disorder (ED) symptoms. The RAABI demonstrated good composite reliability, construct validity, and indications of longitudinal reliability. In both countries, a 12-item, three-factor ESEM structure with good psychometric properties emerged, although item composition differed (UK included tanning, Colombia included skin bleaching items). Bifactor models were psychometrically adequate, showing a strong general factor with three subscales in Colombia, and a moderate general factor in the UK. The extended TIM showed good fit with RAABI included as an outcome measure. Overall, the RAABI (used as a total score or via subscales) is a psychometrically valid measure for assessing additional negative outcomes of sociocultural pressures, appearance ideal internalisation and body dissatisfaction in the UK and Colombia.

To establish the construct validity, agreement, and minimal important difference (MID) of widely used mobility measures in arthrogryposis multiplex congenita (AMC). Participants (n= 248, 126 males, mean age 10 years 10 months, standard deviation 3 years 11 months) with AMC were assessed using the Functional Mobility Scale (FMS), Gillette Functional Assessment Questionnaire (FAQ), Functional Independence Measure for Children (WeeFIM), and Patient-Reported Outcomes Measurement Information System (PROMIS). Convergent and discriminant validity were evaluated using Spearman's rank correlations, while known-groups validity was examined using analysis of variance. Cohen's kappa and distribution-based methods were used to estimate agreement and MIDs respectively. Robust convergent (ρ=0.66-0.82, 95% confidence interval [CI] 0.54-0.86) and discriminant (ρ=0.06-0.31, 95% CI -0.11 to 0.43) validity were found for all four mobility measures. Known-groups validity was supported by significant mean differences across AMC subtypes (amyoplasia, distal arthrogryposis, central nervous system/syndromic; p < 0.001). The measures also showed weak to good agreement in classifying mobility. A difference of one and two levels on the FMS and FAQ respectively, was found to be minimally important. For the PROMIS and WeeFIM, estimated MID values were 3.19 to 4.34 and 14.24 respectively. The robust construct validity, agreement, and MIDs provide clinicians and researchers with evidence-based benchmarks for assessing mobility in children with AMC.

The accelerated adoption of artificial intelligence (AI) in higher education has intensified expectations regarding instructional quality and learning effectiveness, yet empirical evidence on its pedagogical value remains contextually contingent. This study investigates students' perceptions of AI-enabled teaching in Kazakhstan, with a specific focus on perceived instructional quality dimensions and discipline-related skill development. Grounded in contemporary AI-supported learning literature, a structured self-administered questionnaire was developed and administered using a stratified random sampling design across higher education institutions. Instrument reliability and construct validity were established through Cronbach's alpha and the Rasch Rating Scale Model using a pilot sample representing 10% of respondents. Power analysis indicated a minimum requirement of 1504 observations; 2700 valid responses were ultimately analyzed. Data were processed using Microsoft Excel and RStudio, and partial least squares structural equation modeling (PLS-SEM) was employed to test seven hypothesized relationships within the proposed framework. The measurement model exhibited satisfactory reliability and validity, while the structural model showed low multicollinearity, strong explanatory and predictive power, and acceptable fit indices (SRMR, NFI, GoF). The findings reveal that usability, engagement, content quality, and accessibility of AI-based instruction significantly enhance student satisfaction, while instructional quality strongly predicts perceived skill acquisition, particularly in problem-solving, conceptual understanding, and technological competence. Conversely, perceived gains in interpersonal and diagnostic skills were comparatively weaker, and feedback-related pathways were not statistically significant, indicating limitations in current AI feedback mechanisms. The study offers robust perception-driven empirical evidence on the pedagogical implications of AI-integrated instruction in Kazakhstan's higher education system and provides actionable insights for evidence-based instructional design and AI-enabled teaching policy. • Power analysis established a minimum sample of 1504; the study analyzed 2700 valid student responses from Kazakhstan. • A large, demographically diverse dataset enhances the robustness and generalizability of findings on AI-enabled teaching. • PLS-SEM results demonstrate that usability, engagement, content quality, and accessibility significantly drive student satisfaction. • AI-supported instruction strongly predicts problem-solving, conceptual, and technological skill development, while feedback-related effects remain limited. • The findings provide actionable insights for higher education leaders and policymakers to optimize AI-driven teaching and digital strategies.

Reliability and validity of the Persian knee Self-Efficacy Scale in patients with knee injuries: a cross-sectional validation study.

Psychometric properties and structural validity of the traditional Chinese version of the FAMily engagement instrument in intensive care units.

The NOvel Virtual Exploration and Learning Task (NOVEL-T): An easy to administer task to capture human spatial exploration behavior

From organizational citizenship behavior to sustainability oriented organizational citizenship behavior: A construct development and validation

Mealtime assistance for people living with dementia presents care-related challenges, yet few validated instruments assess nursing staff perspectives. This study developed and conducted an exploratory validation of the Assisting Mealtime Scale. A multi-phase instrument development process included literature review, expert consultation, content validation, pilot testing, and forward-backward translation. The 19-item scale was administered to nursing staff in aged care settings in Australia and China (N = 240). Exploratory factor analysis using principal axis factoring with Promax rotation examined factor structure. Sampling adequacy was assessed using the Kaiser-Meyer-Olkin test and Bartlett's test of sphericity. Internal consistency was evaluated using Cronbach's alpha. Sampling adequacy was excellent (KMO = 0.891). A three-factor solution explained 55.25% of total variance. Factors represented Perceived Knowledge and Skill Gaps, Time and Task Pressure, and Attitudes Toward mealtime assistance and Autonomy. The overall scale demonstrated good reliability (α = 0.890). The scale demonstrates preliminary construct validity and reliability. Further confirmatory and cross-cultural validation is required.

The clinician rated suicide crisis syndrome checklist (SCS-C): Structure, reliability, and concurrent validity among adult psychiatric inpatients.

Language teachers’ AI literacy: A psychometric study based on the ED-AI framework

Existing tools for assessing Long COVID are primarily designed for the general population. Few instruments adequately capture the needs and vulnerabilities of high-risk groups such as patients with chronic obstructive pulmonary disease (COPD), who have structurally vulnerable lungs. This study was designed to develop and validate the Long COVID Symptom Severity Index (LCSSI), a concise and clinically sensitive instrument designed specifically for use on patients with respiratory diseases. The study was conducted in two phases. In Phase I, item generation was based on a literature review and expert panel discussion involving six pulmonologists. In Phase II, a cross-sectional validation study was conducted in the chest medicine wards and outpatient clinics of a medical center in southern Taiwan. The psychometric properties of the LCSSI were examined. One hundred and twenty-eight patients with COPD (93% male) were enrolled, of whom 63.3% were classified under GOLD (global initiative for chronic obstructive lung disease) Group E. The most prevalent symptoms found were cough/sputum (100%), fatigue/weakness (90.6%), and dyspnea (88.3%). The LCSSI demonstrated excellent internal consistency (Cronbach's α = .88), and correlated positively with the COPD Assessment Test (p < .01) and negatively with the 15D Health-Related Quality of Life scale (p < .01). Mean LCSSI scores differed significantly across GOLD groups, with Group E showing higher mean total and core symptom scores (all p < .01), supporting construct validity. Based on this sample, the results indicate the LCSSI has acceptable internal consistency and validity, supporting its use as a reference tool for symptom assessment in patients with COPD during the late recovery phase for Long COVID.