Resilience Analysis of Crisis in Medical Environments: A Structural Equation Modeling based on Crisis Management Components

Enhancing the index of crisis resilience is one of the key goals in medical environments. Various parameters can affect crisis resilience. The current study was designed to analyze crisis resilience in medical environments based on the crisis management components. This cross-sectional and descriptive-analytical study was performed in 14 hospitals and medical centers, in 2020. A sample size of 343.5 was determined based on the Cochran's formula. We used a 44-item crisis management questionnaire of Azadian et al. to collect data. The components of this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility, and transparency. The data was analyzed based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0. The participants’ age and work experience mean were 37.78±8.14 and 8.22±4.47 years. The index of crisis resilience was equal to 2.96±0.87. The results showed that all components of crisis management had a significant relationship with this index (p <0.05). The highest and lowest impact on the resilience index were related to preparedness (E=0.88) and transparency (E=0.60). The goodness of fit indices of this model including RMSEA, CFI, NFI, and NNFI (TLI) was 2.86, 0.071, 0.965, 0.972, and 0.978. The index of crisis resilience in the medical environments was at a moderate level. Furthermore, the structural equation modeling findings indicated that the impact of each component of crisis management should be considered in prioritizing measures to increase the level of resilience.

Development and Validation of Teachers’ Assessment Belief of Mathematical Thinking Instrument

<p style="text-align: justify;">This study was conducted to corroborate in understanding the teachers’ beliefs about assessment practices. The prior studies related to teachers’ assessment beliefs in mathematics have been done to assess teachers’ beliefs in the general context of mathematics teaching. This study developed an instrument to assess teachers’ assessment beliefs of mathematical thinking. The research aimed to develop and validate a scale of assessment beliefs of mathematical thinking by using the confirmatory factor analysis. The first draft of the scale contained 25 items. The sample of the study consisted of 537 mathematics teachers from public schools in Oman. The instrument was a questionnaire with a 5-point Likert scale. The scale was validated by asking a number of experts in mathematics educational measurement and evaluation. Exploratory and confirmatory factor analysis was applied to test the model of assessment beliefs of mathematical thinking scale using AMOS 25.0. All constructs had acceptable reliability. The model had a good model fit for the assessment beliefs of mathematical thinking scale which obtainable from the fit indices tests. The findings revealed that all fit criteria indices were realized. The results also showed acceptable validity and construct reliability for the scale.</p>

Evaluating Validity Properties of 25 Race-Related Scales

Racial attitudes, beliefs, and motivations lie at the center of many of the most influential theories of prejudice and discrimination. The extent to which such theories can meaningfully explain behavior hinges on accurate measurement of these latent constructs. We evaluated the validity properties of 25 race-related scales in a sample of 1,031,207 respondents using modern approaches such as dynamic fit indices, Item Response Theory, and nomological nets. Despite showing adequate internal reliability, many scales demonstrated poor model fit and had latent score distributions showing clear floor or ceiling effects, results that illustrate deficiencies in measures’ ability to capture their intended construct. Nomological nets further suggested that the theoretical space of “racial prejudice” is crowded with scales that may not actually capture meaningfully distinct latent constructs. We provide concrete recommendations for scale selection and renovation and outline implications for overlooking measurement issues in the study of prejudice and discrimination.

Maladaptive and Adaptive Cognitions About the Self and Others: Confirmatory Factor Analysis of the Brief Core Schemas Scales

The presence of dysfunctional cognitions about how individuals see themselves and others is a hallmark of psychopathology. The Brief Core Schemas Scale (BCSS) was developed to evaluate adaptive and dysfunctional beliefs about the self and others. This study describes the first psychometric analysis of the BCSS in the Portuguese population. Participants were recruited from community ( N = 320, Mage=27.31, DP = 12.75). Confirmatory factor analysis (CFA) was used to confirm the BCSS factorial structure. Four-factor model revealed moderate to adequate goodness-of-fit indices (χ2/df = 717.1, (246) p = .01; SRMR = .044; RMSEA = .077; CFI/TLI < .90). Negative views of the self and others correlated positively with early maladaptive schemas, distress, and symptomatology and correlated negatively with psychological well-being. An inversed correlational pattern was found with the positive views of the self and others. Despite the model's moderate adherence to the data, results suggest that the BCSS may be an asset in the assessment of dysfunctional and adaptive cognitions about the self and others. Further analysis is required to deepen the psychometric properties of the BCSS in the Portuguese population.

Validating second-order model for economic welfare scale: evidence from Nigeria

PurposeThe goal of this paper is to validate the second-order model for the economic welfare scale in the context of violence. This study also aims to assess the relationship between the dimensions of the economic welfare scale’ declining food consumption and loss of income and the overall latent construct and assess the second-order model’s goodness of fit using appropriate fit indices.Design/methodology/approachThe study is cross-sectional with a sample of 600 households from the violent zone, Northwest Nigeria. The data collected was used for confirmatory factor analysis, second-order model evaluation and model fit evaluation.FindingsThe second-order model for the economic welfare scale is valid and reliable; the dimensions significantly affect the formation of the overall construct. The model’s goodness of fit fulfilled the relevant fit indices.Research limitations/implicationsThe study offers researchers and policymakers practical insights into how each dimension influences the latent operational construct. It, therefore, encompasses replication in all the remaining modules.Practical implicationsThe findings offer practical insight to policymakers in designing policies for promoting long-term peace structures and developing mechanisms to assist those who have suffered the greatest economic welfare losses due to violence in Nigeria.Social implicationsThe findings form an essential tool to assess the economic welfare effect in violently affected territories at the micro-level.Originality/valueThe outcomes are ground-breaking by validating the second-order model for the economic welfare scale. And established dimension influences over the overall latent variable.

Testing the Performance of Level-Specific Fit Evaluation in MCFA Models With Different Factor Structures Across Levels

A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition, various design factors and interaction effects between intraclass correlation (ICC) and misspecification type (MT) on their performance were considered. The simulation results demonstrate that the LS outperformed the SI in detecting model misspecification at the between-group level even in the MCFA model with different factor structures across levels. Especially, the performance of LS fit indices depended on the ICC, group size (GS), or MT. More specifically, the results are as follows. First, the performance of root mean square error of approximation (RMSEA) was more promising in detecting misspecified between-level models as GS or ICC increased. Second, the effect of ICC on the performance of comparative fit index (CFI) or Tucker–Lewis index (TLI) depended on the MT. Third, the performance of standardized root mean squared residual (SRMR) improved as ICC increased and this pattern was more clear in structure misspecification than in measurement misspecification. Finally, the summary and implications of the results are discussed.

Reconsidering the structure of the questionnaire for eudaimonic well-being using wide age-range Japanese adult sample: An exploratory analysis

Background An increasing amount of research is now highlighting the importance of approaching issues of happiness through eudaimonic well-being. However, the literature does not conclusively show a full understanding of the construct of eudaimonic well-being, as previous studies primarily focused on younger samples from Western countries and only a few studies have attempted to explore its psychological construct through exploratory approaches. Therefore, we conducted a survey among a wide range of age groups in Japan to capture the psychological construct of eudaimonic well-being, through an exploratory analytic approach using Questionnaire for Eudaimonic Wellbeing (QEWB). Methods A total of 1126 Japanese participants (580 females, 546 males) were included for analysis. Participants were divided into three age groups according to their age, including 10s to 20s (18–29 years), 30s to 40s (30–49 years) and 50s to 60s (50–69 years). After narrowing down the total number of factors by exploratory structural equation modeling (ESEM), we conducted an ESEM and bifactor ESEM with oblique goemin and oblique bi-geomin rotations for choosing and assessing the final model based on the rotated results and its interpretability. Results The results of a parallel analysis and goodness-of-fit indices obtained by ESEM indicated that the QEWB consisted of three or more factors. Both a three-to-six factor and bifactor ESEM with oblique goemin rotation showed that three-factor structure for the 30s to 40s and 50s to 60s and four-factor structure for the 10s to 20s should be chosen, respectively. “Deep and Meaningful Engagement,” a factor only relevant to the 10s to 20s may be an expanded version of what original paper called the Intense Involvement in Activities, with more emphasis on the enthusiastic attitude one has towards activities. Conclusions The structure of eudaimonic well-being may differ across cultures and ages, thus requiring further investigation in the field.

Psychometric properties of the positive mental health scale in Arequipa (Peru)

La salud mental positiva es un constructo complejo que está relacionado con el funcionamiento óptimo de la persona. Comprende un conjunto de cualidades orientadas al desarrollo del potencial del individuo. La Escala de Salud Mental Positiva es uno de los instrumentos más utilizados para evaluarlo, sin embargo, los antecedentes señalan inconsistencias respecto a su estructura interna. El objetivo del presente estudio fue analizar las propiedades psicométricas de la Escala de Salud Mental Positiva en Arequipa-Perú. Participaron 3933 personas, 50.3% fueron mujeres y 49.7% fueron varones, incluyendo desde adolescentes hasta adultos mayores. La evaluación mediante AFC de la estructura original evidenció índices de ajuste pobres, por lo que se tuvo que evaluar la dimensionalidad y proponer una nueva estructura. Para lo cual, se dividió a la muestra (n1 = 1966 y n2 = 1967). En la primera, se aplicó un AFE y en la segunda se valida mediante un AFC. Se hallaron tres factores y se concluye que tiene un buen ajuste (χ2(431) = 2473.378; CFI = .959; TLI = .956, RMSEA = .049; SRMR = .051). La consistencia interna mostró valores mayores a .81. Finalmente, se evaluó la equivalencia de la medición según el sexo, hallando que el instrumento presenta invarianza de la medición. Positive mental health is a complex construct that is related to the optimal functioning of the person. It comprises a set of qualities aimed at the development of the individual's potential. The Positive Mental Health Scale is one of the most used instruments to evaluate it, however, the antecedents indicate inconsistencies regarding its internal structure. The objective of this study was to analyze the psychometric properties of the Positive Mental Health Scale in Arequipa-Peru. 3,933 people participated, 50.3% were women and 49.7% were men, including from adolescents to the elderly. The evaluation by CFA of the original structure showed poor fit indices, so the dimensionality had to be evaluated and a new structure had to be proposed. For which the sample is divided (n1 = 1,966 and n2 = 1,967). In the first, an EFA was applied and in the second, it is validated by means of a CFA. Three factors were found and it is concluded that it has a good fit (χ2 (431) = 2,473.378; CFI = .959; TLI = .956, RMSEA = .049; SRMR = .051). The internal consistency showed values ​​greater than .81. Finally, the equivalence of the measurement according to sex was evaluated, finding that the instrument presents measurement invariance.

Reliability and validity study of the Thai adaptation of the Copenhagen Burnout Inventory-Student Survey (CBI-SS) among preclinical medical students at the Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand

Burnout syndrome is a syndrome of emotional exhaustion, professional efficacy and cynicism. A significant proportion of medical students reported having burnout syndrome during their training in medical education. Several tools including the Copenhagen Burnout Inventory-Student Survey (CBI-SS) are considered to be a valid measurement of burnout syndrome in medical students. This study aimed to translate, culturally adapt, and validate the CBI-SS for assessing burnout syndrome among preclinical medical students in Thailand. This study was conducted during February to March 2019 at the Faculty of Medicine Siriraj Hospital, Mahidol University (Bangkok, Thailand), which is Thailand’s largest and oldest medical school, and Thailand’s largest national tertiary referral center. After receiving formal permission to do so from the copyright owner, the original English language version of the CBI-SS was translated to Thai language using an internationally recommended and accepted forward-backward translation protocol. The Thai version of the CBI-SS (Thai CBI-SS) comprises 25 items, including 6 items for personal burnout, 7 items for study-related burnout, 6 items for colleague-related burnout, and 6 items for teacher-related burnout. Standardized Cronbach’s alpha coefficient was calculated to evaluate internal consistency reliability, and correlation coefficient was computed to determine test-retest reliability. A total of 414 preclinical medical students participated in this study. Due to sub-optimal factor weights (<0.50), items 6, 10 and 17 were excluded. The Cronbach’s alpha coefficients of the 22-item Thai CBI-SS for personal, study-related, colleague-related, and teacher-related burnout were 0.898, 0.896, 0.910 and 0.900 respectively. The correlation coefficients for test-retest reliability after three weeks were 0.820, 0.870, 0.821, and 0.787 for personal, study-related, colleague-related, and teacher-related burnout, respectively. Maximum likelihood analysis with oblimin rotation indicated four main components, and confirmatory factor analysis revealed good fit indices of the Thai CBI-SS. Confirmatory factor analysis showed good fit indices of CBI-SS domains (χ2/df = 2.39; CFI = 0.957; GFI = 0.909; RMSEA = 0.058; TLI = 0.949; and NFI = 0.928). The convergent validity analysis using the Average Variance Extracted (AVE) and the Composite Reliability (CR) was adequate for all dimensions (personal: AVE = 0.626, CR = 0.893; study-related: AVE = 0.601, CR = 0.899; colleague-related: AVE = 0.677, CR = 0.913; teacher-related: AVE = 0.606, CR = 0.900). The HTMT values for all variables are in the range from 0.315 to 0.833, confirming the discriminant validity. The Thai CBI-SS was found to be a valid and reliable tool for evaluating burnout syndrome in preclinical medical students in Thailand.