Search Results (705)

Plants are crucial for sustaining community livelihood and should be thoroughly integrated into education; however, students often suffer from Plant Awareness Disparity (PAD). This phenomenon causes students to fail to appreciate the value of plants, often because they fail to notice or value them in their surroundings. Although numerous interventions have been suggested to address PAD, we still lack a comprehensive instrument with which to measure the interconnectedness of plant awareness knowledge and the effectiveness of such interventions. To address this gap, this study developed and validated a new scale to measure plant awareness knowledge in elementary school students. We used the Nipa palm (Nypa fruticans Wurmb) as a specific case study within the Pak Phanang Basin of Nakhon Si Thammarat Province, Thailand. This study was conducted in two phases, following the standards for education and psychology testing. In the first phase, a systematic literature review based on the Plants, People, and Planet (PPP) concept was used to identify the dimensions and components of the scale. In the second phase, the scale was developed, and its construct validity was analyzed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The EFA and CFA provided evidence of a three-factor structure, confirming three distinct yet correlated dimensions of plant knowledge. The three subscales are as follows: Nature of Life, which focuses on students’ knowledge of the physical and biological characteristics of the plant; Interconnectedness of All Things, which measures knowledge of the plant’s relationship with its ecosystem and the community’s way of life; and Greatest Public Benefit, which assesses knowledge of the plant’s economic and cultural value to the community. The scale, comprising 13 items, demonstrated satisfactory internal consistency, with Cronbach’s alpha values above 0.75 across the three subscales. These findings provide educators with a valuable tool for assessing plant awareness and implementing interventions that foster ecological literacy and community sustainability. Full article

Understanding students’ attitudes toward science is vital for fostering engagement in scientific fields. This study aimed to adapt and validate the Test of Science-Related Attitudes (TOSRA) for Greek upper-secondary Physics classrooms and explore how attitudes vary by gender, grade, and school location. A translated and culturally adapted version of TOSRA was administered to 662 students (grades 10–11) from urban and rural schools. Five of the original seven factors were retained. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) tested the factor structure and reliability. Group comparisons were conducted using t-tests. A 32-item, five-factor structure showed good fit (CFI = 0.969, TLI = 0.966, RMSEA = 0.064) and high internal consistency (α = 0.89 overall). Students reported stronger acceptance of inquiry and enjoyment-related factors compared with leisure and career interest. Boys scored higher on Leisure, 11th graders on Adoption of Scientific Attitudes, and rural students on Career Interest. The Greek TOSRA-Physics is a valid and reliable instrument for assessing science attitudes and evaluating inquiry-based programs. Full article

Background: Borderline personality disorder (BPD), a significant personality trait frequently observed in young adults, is associated with challenges in mental health and academic performance. Screening for BPD symptoms is essential. The Screening Instrument for Borderline Personality Disorder (SI-Bord) is widely used to assess general BPD symptoms. However, despite being translated and culturally adapted, the psychometric properties of the Chinese version of the SI-Bord have not been thoroughly investigated in a Chinese population. Objectives: The aim of the study was to evaluate the psychometric properties of the Chinese version of the Screening Instrument for Borderline Personality Disorder (SI-Bord) among university students using confirmatory factor analysis (CFA). Methods: Participants completed the SI-Bord along with the Perceived Stress Scale (PSS), the Meaning in Life Questionnaire (MLQ), the Experiences in Close Relationships–Revised (ECR-R), and the Rosenberg Self-Esteem Scale (RSES). Results: A total of 715 Chinese university students (mean age = 20.33 years; age range = 18–25), including 385 males (54.2%) and 325 females (45.5%), participated in this study. The unidimensional model demonstrated adequate fit indices. The SI-Bord showed significant correlations with the PSS and ECR-R (attachment anxiety), alongside smaller correlations with the MLQ, supporting its convergent and discriminant validity. The Chinese version of the SI-Bord exhibited good reliability. Invariance testing confirmed at least metric invariance across various groups. Conclusions: The Chinese version of the SI-Bord demonstrates strong validity and reliability as a tool for screening for core BPD symptoms among Chinese university students. Further studies are encouraged to evaluate the validity of the SI-Bord across diverse groups, including age, socioeconomic status, and geographic regions. Applying it in clinical BPD samples will further enhance its utility across Chinese populations. Full article

Background/Objectives: In Spain, a high proportion of children do not meet the recommended daily levels of physical activity (PA), which highlights the urgent need to understand the motivational factors that could influence PA behavior. Self-Determination Theory is a widely used approach for assessing motivation toward exercise, employing instruments such as the Behavioral Regulation in Exercise Questionnaire (BREQ-3). However, despite the cognitive and linguistic differences that limit its direct application, this tool has not yet been adapted for children aged 6–12 years. This study aimed to adapt the BREQ-3 for use with Spanish schoolchildren and to evaluate its validity and reliability in this age group. Methods: The BREQ-3 for children (BREQ-3C) was linguistically and culturally adapted. Comprehension was tested through cognitive interviews, and reliability was assessed via a test–retest with 125 Spanish schoolchildren. Statistical analyses: Confirmatory factor analysis (CFA), Cronbach’s alpha, and the intraclass correlation coefficient (ICC) were used to evaluate validity and reliability. Results: CFA supported the factorial structure of the adapted BREQ-3 for primary schoolchildren, showing acceptable model fit indices (chi-square minimum discrepancy/degrees of freedom (CMIN/df) = 1.552, root mean square error of approximation (RMSEA) = 0.053, comparative fit index (CFI) = 0.891, Tucker-Lewis index (TLI) = 0.870). Internal consistency ranged from poor to excellent for all items and the total score of the questionnaire (Cronbach’s alpha (α): 0.535 to 0.911), except for items 3, 13, 20, and 21, where the internal consistency was unacceptable. Test–retest reliability was generally satisfactory, with ICC values indicating fair to excellent temporal stability (ICC: 0.248 to 0.911). The measurement error indicators (standard error of measurement percentage (SEM%) and minimal detectable change percentage (MDC%)) varied widely, particularly for the less reliable items. Most item scores were not significantly different between the test and retest groups, although items 2, 3, 5, 9, 17, 19, and 20 were significantly different. Conclusions: The BREQ-3C has promising psychometric properties for assessing exercise motivation in children aged 6–12 years. This tool shows potential for use in research, education, and health interventions to understand and promote physical activity motivation in primary schools. Full article

This study presents the first nationwide, system-level investigation of occupational stress and professional burnout among probation counselors in Romania, in the context of increasing caseloads, complex job demands and limited institutional support. Building on a comprehensive theoretical analysis, we employ a sociological research design involving a representative sample of 247 probation counselors from all 42 national probation services. Using the Maslach Burnout Inventory—Human Services Questionnaire, along with stress-related factors, we examine the prevalence, most important factors and typologies of burnout. Advanced quantitative techniques—including multiple linear regression, principal component analysis and K-means clustering—allow for a robust identification of key predictors of emotional exhaustion and three distinct psychosocial profiles: stress-resistant seniors, under involved younger staff and overworked, frustrated employees. We also conducted a confirmatory factor analysis (CFA) to check the validity of the MBI-HSS. This typology offers a novel conceptual framework for understanding professional burnout in probation, highlighting systemic vulnerabilities and distinct risk categories. Nevertheless, limitations exist: self-reported data may underestimate stress, and omitting variables like resilience or work meaning constrains explanatory depth. Despite these constraints, this study addresses a significant gap in Romanian probation research and lays the foundation for future longitudinal and qualitative studies. These should incorporate psychological and organizational factors to improve targeted interventions and human resources strategies. Full article

This study examines the link between deep approaches to learning (DAL) and undergraduate senior students’ employability skills and perceived satisfaction in STEM fields in the United States. DAL, comprising higher-order (HO) and reflective/integrated (RI) learning constructs, enhances the understanding of real-world applications and promotes reflective thinking about individual ideas in broader contexts. HO activities focus on analyzing, synthesizing, and applying new information in practical scenarios such as internships, classroom discussions, and presentations. RI activities involve integrating existing knowledge with new ideas. The efficacy of DAL in improving student outcomes including employability and satisfaction skills was investigated using Structural Equation Modeling (SEM), which included a Confirmatory Factor Analysis (CFA) to measure observed variables associated with the four latent factors (HO, RI, student satisfaction, and employability skills), followed by structural analysis to explore the relationship between these latent factors. Data from 14,292 senior students surveyed by the National Study of Student Engagement (NSSE) in 2018 were analyzed. The results indicated a significant positive effect of DAL on students’ satisfaction and perceived employability skills, underscoring its importance in higher education for STEM students. These findings can guide higher education institutions (HEIs) in focusing on DAL activities for meaningful learning outcomes and enhanced critical thinking. Full article

The general objective of this research was to investigate the attitudes of Bucharest students toward artificial intelligence (AI)—in particular, ChatGPT—in relation to their personality traits, coping strategies, and personal values to identify psychosocial approaches for students’ effective reporting toward this AI product. As there was no instrument validated and calibrated on Romanian students, the scale constructed by Acosta-Enriquez et al. in 2024 was adapted to students from Bucharest (N = 508). Following the item analysis, the adapted scale was reduced to 16 items, and, following the factor analysis (EFA–0.81 < α < 0.91), the structure with three factors (cognitive, affective, and behavioral components), explaining 53% of the variation in Bucharest students’ attitudes toward ChatGPT, was maintained considering the results of the confirmatory factor analysis—CFA (χ²(79) = 218.345, p < 0.001; CMIN/DF = 2.486; CFI = 0.911; TLI = 0.900; RMSEA = 0.058 (90% CI: 0.50–0.065). The present study showed that 85.53% of the research subjects used ChatGPT at least once, of which 24.11% have a positive/open attitude toward ChatGPT, and that there are correlations (p < 0.01; 0.23 < r² < 0.50) between students’ attitudes toward ChatGPT and several personality traits, coping strategies, and personal values. It also proves that the three components of the attitude toward ChatGPT (cognitive, affective, and behavioral) are correlated with a series of personality traits, coping strategies, and personal values of students. Although the general objective was achieved and the adapted scale has adequate psychometric qualities, the authors propose in future studies to expand the group of subjects so that the scale can be validated at the level of the Romanian population. In this research, at the end, several concrete approaches are proposed for the effective reporting of students toward this AI product, which, beyond the ethical challenges, also recognizes the benefits of technology in the evolution of education. Full article

This study contributes to the growing interest in evaluating environmental qualities and characteristics for the enhancement of social and individual well-being by introducing and validating the Landscape Assessment Scale (LAS), a standardized tool designed to assess key environmental qualities across both natural and urban landscapes within metropolitan settings. The scale comprises 30 items related to 10 key environmental components: coherence, complexity, ephemera, imageability, naturalness, safety, visual scale, stewardship, disturbance, and historicity of places. In study 1, the LAS was first tested on 327 participants, who evaluated either a natural (N = 176) or urban (N = 151) environment. Exploratory Factor Analysis (EFA) revealed three correlated factors: Landscape Disharmony, Landscape Organized Complexity, and Landscape Naturalistic Impact. In study 2, participants (N = 185) were asked to select and to assess two environments (natural and urban) using the shortened LAS and the Perceived Restorativeness Scale (PRS). A Confirmatory Factor Analysis (CFA) was used to investigate the invariance of the LAS factor structure in both natural and urban environments, and the correlational analysis was used to investigate LAS convergent validity. The CFA supported the three-factor structure and showed significant correlations between LAS and PRS components, supporting convergent validity. By capturing key perceptual dimensions that are relevant across landscape types, the LAS offers a practical and scientifically robust tool for informing evidence-based urban planning and landscape design. Full article

The concept of meaning of life is of considerable significance to the Peruvian population, functioning as a protective factor that mitigates the occurrence of self-destructive behaviors. It constitutes a vital element of mental health, fostering personal development, adaptability to change, psychological well-being, life satisfaction, self-esteem, and optimism. The aim of this research was to develop and validate the Meaning of Life Scale (MLS) designed for the Peruvian population. This study involved 646 individuals aged between 18 and 69 years. One dimension was used, called the Presence of Life Meaning, and both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were carried out, along with a reliability analysis. The results supported a unifactorial model with adequate indices (χ²(2) = 2.391, p < 0.001, CFI = 0.998, TLI = 0.995, RMSEA = 0.025, SRMR = 0.016) and high internal consistency (α = 0.878, ω = 0.878). The findings of this study offer preliminary evidence of the validity and reliability of the MLS. Full article

The current study aims to examine the impact of non-work responsibilities (NWRs) due to work from home (WfH) conditions on the work–life imbalance (WLI) and emotional exhaustion (EE) experienced by pregnant working women during the pandemic (COVID-19) in Indian settings. Due to lack of empirical evidence on the increasing rate of mental health issues during the prepartum period amid the pandemic, the study attempted to explore the effect of NWRs, prepartum burnout (PB) on the WLI and EE during WfH. The research study was carried out in urban cities of eastern coastal India and other major eastern cities by collecting data from 386 working pregnant women from January to March 2023. For assessing the reliability and validity of the measurement model, a Confirmatory Factor Analysis (CFA) using AMOS 23 was performed, and SPSS 26 using Process macro was used for examining the direct, mediation, and moderated mediation effects. Findings depicted that NWRs and PB are positively significant with EE. Additionally, WLI mediates the relationship between NWRs → EE and PB → EE. Moderated mediation was also examined and reported the contradictory results, with COVID-19 rumination (CR) as the moderator. To the best of our knowledge, this study is the first to explore the combined effects of organizational psychology (WLI, WfH) and mental health (PB, EE) variables on pregnant working professionals in the Indian context. The study has the potential to overcome the challenges faced by prepartum working professionals in the forthcoming pandemic and challenging times, if any, keeping in mind their robustness in overpowering severe public health emergency events. Full article

Pastoral livelihoods in Sub-Saharan Africa are under an increasing threat from climate change with arid and semi-arid lands (ASALs) being especially vulnerable. Climate-smart agriculture (CSA) is widely promoted as a strategy for enhancing resilience among smallholder livestock farmers by improving productivity, increasing farmers’ incomes and strengthening adaptive capacity. However, CSA adoption rates among pastoralists remains low. While existing studies emphasise socio-economic and institutional factors, this study explores the often-overlooked behavioural dimensions, attitudes, beliefs, and perceptions, which critically influence adaptation decisions. Guided by the theory of planned behaviour (TPB), this study investigates the behavioural drivers of CSA adoption among 737 livestock farmers in Kenya’s ASALs. Using ordered probit regression and structural equation modelling–confirmatory factor analysis (SEM-CFA), the results reveal that attitudes and perceived behavioural control are significant predictors of farmer intention to adopt CSA practices, with perceived behavioural control being the most influential predictor. Farmers with a positive attitude and confidence in their ability to implement CSA practices are more likely to adopt them. The study findings suggest that efforts to promote CSA adoption should prioritise transforming attitudes and building practical confidence by increasing exposure to demonstration farms and implementing awareness-raising initiatives within pastoral communities. Full article

Background/Objectives: Artificial intelligence (AI) tools for fracture detection in radiographs are increasingly approved for clinical use but remain underutilized. Understanding physician attitudes before implementation is essential for successful integration into emergency care workflows. This study investigates the acceptance of an AI-based fracture detection tool among physicians in emergency care settings, using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Methods: A cross-sectional, pre-implementation survey was conducted among 92 physicians across three hospitals participating in the SMART Fracture Trial (ClinicalTrials.gov: NCT06754137). The questionnaire assessed the four core UTAUT constructs—performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC)—and additional constructs such as attitude toward technology (AT), diagnostic confidence (DC), and workflow efficiency (WE). Responses were collected on a five-point Likert scale. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were performed to assess predictors of behavioral intention (BI). Results: PE was the strongest predictor of BI (β = 0.5882, p < 0.001), followed by SI (β = 0.391, p < 0.001), FC (β = 0.263, p < 0.001), and EE (β = 0.202, p = 0.001). These constructs explained a substantial proportion of variance in BI. WE received the lowest ratings, while internal consistency for SI and BI was weak. Moderator analyses showed prior AI experience improved EE, whereas more experienced physicians were more skeptical regarding WE and DC. However, none of the moderators significantly influenced BI. Conclusions: Physicians’ intention to use AI fracture detection is primarily influenced by perceived usefulness and ease of use. Implementation strategies should focus on intuitive design, targeted training, and clear communication of clinical benefits. Further research should evaluate post-implementation usage and user satisfaction. Full article

Background: Hospitalized patients’ expectations about their treatment play a key role in therapeutic adherence, satisfaction with care, and clinical outcomes. However, there is a lack of brief, psychometrically validated instruments in Spanish-speaking contexts that adequately assess this construct. Objective: The objective of this study is to culturally adapt and validate the Hospitalized Patients’ Expectations for Treatment Scale-Patient Version (HOPE-P) in a Peruvian population. Methods: A methodological, cross-sectional study was conducted with 277 hospitalized patients aged 18 to 85 years (M = 45.87; SD = 17.09). The adaptation process included translation, back-translation, expert review, and pilot testing. Confirmatory factor analysis (CFA) was performed to assess the factor structure, and reliability and validity indices were calculated. Results: The bifactorial model showed good fit (CFI = 0.97, TLI = 0.94, RMSEA = 0.06). One item with a low factor loading was removed to improve the model. Convergent and discriminant validity were confirmed through acceptable values of Average Variance Extracted (0.60 and 0.55) and inter-factor correlation (φ² = 0.23). Internal consistency was strong for both dimensions (α = 0.76–0.77; ω = 0.76–0.77). Conclusions: The Spanish version of the HOPE-P is a valid, reliable, and culturally appropriate instrument for evaluating treatment expectations in hospitalized Peruvian patients. Its implementation in clinical settings could enhance physician–patient communication, support shared decision-making, and contribute to better therapeutic outcomes, especially in high-demand healthcare environments. Full article

Background: Effective doctor–patient communication is essential for high-quality care, especially for patients with chronic conditions requiring hemodialysis. However, there is a lack of validated tools in the Malay language to measure this communication. This study aimed to translate and validate the Doctor–Patient Communication Questionnaire (DPCQ) into Malay (MyD-PCQ) for use among patients receiving hemodialysis in Kelantan, Malaysia. Methods: A cross-sectional study was conducted with 300 patients receiving hemodialysis at Hospital Universiti Sains Malaysia. The original English DPCQ was translated and culturally adapted into Malay following international guidelines, including forward and backward translation, expert review, and cognitive debriefing. Data were collected using the Malay version of the questionnaire. Confirmatory factor analysis (CFA) assessed the construct validity, while Raykov’s rho measured internal consistency. Results: The Malay version of the DPCQ demonstrated excellent model fit in CFA (χ²/df = 1.25, p = 0.053; SRMR = 0.037; RMSEA = 0.029; CFI = 0.982; and TLI = 0.979). Factor loadings ranged from 0.493 to 0.640. The internal consistency was high, with Raykov’s rho of 0.887. The average total score among participants was 37.31 out of 60, indicating moderate perceived communication quality. Conclusions: The Malay Doctor–Patient Communication Questionnaire (MyD-PCQ) is a valid and reliable tool for assessing communication between doctors and patients receiving hemodialysis in Malaysia. Its use can help identify communication gaps, support training initiatives, and improve patient-centered care in clinical practice. Future research should evaluate its use in other settings and patient populations. Full article

Background/Objectives: Although people with schizophrenia appear to experience emotions like healthy individuals, previous studies suggest that their ability to engage in empathic emotional responses might be impaired. As per our knowledge, no studies in the Arab world have investigated empathy in patients with schizophrenia, which is likely due to the lack of valid and reliable measures to assess the empathy construct among Arabic-speaking people. The aim of this research is to validate the Arabic version of the Pictorial Empathy Test (PET) in patients with schizophrenia from Lebanon. Methods: A two-month cross-sectional study was carried out at the Psychiatric Hospital of the Cross during January and February of 2024. The average age of the 113 participants in this study was 57.52 ± 10.35 years and 63.5% of them were men. Data were collected through in-person interviews. A confirmatory factor analysis (CFA) was conducted using SPSS AMOS version 29. Parameter estimation utilized the maximum likelihood approach. In order to examine sex invariance in PET scores, a multi-group CFA was conducted. Measurement invariance was assessed across configural, metric, and scalar levels. Evidence of invariance was determined based on the criteria: ΔCFI ≤ 0.010, ΔRMSEA ≤ 0.015, or ΔSRMR ≤ 0.010. Results: CFA revealed that the Arabic PET exhibited a unidimensional factor structure. The PET demonstrated solid internal consistency (ω = 0.93, α = 0.93). Measurement invariance testing confirmed that the scale performed equally well across sexes. A linear regression analysis found that female sex and higher levels of alexithymia were significantly correlated with lower levels of affective empathy. Conclusions: The findings indicate that the Arabic version of the PET is a reliable and valid tool for measuring affective empathy in Arabic-speaking patients with schizophrenia. The culturally adapted and validated Arabic PET would help detect affective empathy deficits, design and implement context-tailored interventions, and encourage future research in this area in the Arab region. Future research should aim to validate the PET against behavioral tasks like the Empathic Accuracy Task to improve its ecological validity. Full article