Standardized Root Mean Square Research Articles

A New Method to Minimize the Standard Deviation and Root Mean Square of the Prediction Error of Single-Optimized IOL Power Formulas.

The purpose of this study was to develop a simplified method to approximate constants minimizing the standard deviation (SD) and the root mean square (RMS) of the prediction error in single-optimized intraocular lens (IOL) power calculation formulas. The study introduces analytical formulas to determine the optimal constant value for minimizing SD and RMS in single-optimized IOL power calculation formulas. These formulas were tested against various datasets containing biometric measurements from cataractous populations and included 10,330 eyes and 4 different IOL models. The study evaluated the effectiveness of the proposed method by comparing the outcomes with those obtained using traditional reference methods. In optimizing IOL constants, minor differences between reference and estimated A-constants were found, with the maximum deviation at -0.086 (SD, SRK/T, and Vivinex) and -0.003 (RMS, PEARL DGS, and Vivinex). The largest discrepancy for third-generation formulas was -0.027mm (SD, Haigis, and Vivinex) and 0.002mm (RMS, Hoffer Q, and PCB00/SN60WF). Maximum RMS differences were -0.021 and +0.021, both involving Hoffer Q. Post-minimization, the largest mean prediction error was 0.726 diopters (D; SD) and 0.043 D (RMS), with the highest SD and RMS after adjustments at 0.529 D and 0.875 D, respectively, indicating effective minimization strategies. The study simplifies the process of minimizing SD and RMS in single-optimized IOL power predictions, offering a valuable tool for clinicians. However, it also underscores the complexity of achieving balanced optimization and suggests the need for further research in this area. The study presents a novel, clinically practical approach for optimizing IOL power calculations.

Adaptation and validation of the children’s cognitive triad inventory for Indonesian students

Depression causes student learning problems. Depressive symptoms are influenced by automatic thoughts that contain a negative cognitive triad. A valid and reliable instrument to measure the cognitive triad in adolescents is essential to identify one of the risk factors for depressive disorders in adolescents. At the same time, Indonesia has no instrument to measure this. This study aims to adapt the children’s cognitive triad inventory (CTI-C) into an Indonesian version and to examine its psychometric properties. Data were collected from 1,184 students aged 13-19 (mean=15.32, SD=1.62) using the 36-item CTI-C. The CTI-C instrument adaptation process refers to the international test commission (ITC). The results of confirmatory factor analysis (CFA) showed comparative fit index (CFI)=0.95, Tucker-Lewis’s index (TLI)=0.94, root mean square error of approximation (RMSEA)=0.071, standardized root mean square residual (SRMR)=0.056, and goodness of fit index (GFI)=0.82, with a load factor range of 0.43-0.80 for the view of self, 0.43-0.68 for the view of the world, and 0.37-0.70 for the view of the future. The Cronbach’s alpha coefficient ranged from 0.81 to 0.84 for the subscales and 0.93 for the total score. Thus, the Indonesian version of the CTI-C can measure the cognitive triad in Indonesian students aged 13-19.

Psychometric properties of the DSM-5 Panic Disorder Dimensional Scale in an Australian community sample

ABSTRACT Objective The Panic Disorder Dimensional Scale (PD-D) was developed to provide a dimensional rating of panic disorder (PD) symptom severity alongside the traditional categorical Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnosis. The aim of the present study was to evaluate the psychometric properties of the PD-D in an Australian community sample. Method Two-hundred and eighty-eight participants (72.9% female) aged 18–76 years (M = 28.28; SD = 12.08) completed the study. Results Confirmatory factor analysis indicated that PD-D demonstrates a unidimensional factor (comparative fit index [CFI] = 0.95; Tucker-Lewis index (TLI) = 0.94; standardised root mean square residual [SRMR] = 0.04). The scale also demonstrated excellent internal consistency [α = .96 (95% CI: .95–.97); ω = 0.96 (95% CI: .95–.97)], and evidence of convergent and divergent validity. A good test–retest reliability was evident for the total PD-D score (ICC = .76, p < .001). Conclusions The PD-D appears to be a reliable and valid measure which can be used to support diagnosis of PD in Australia. Limitations are discussed, including the use of a predominantly female sample and lack of clinician-informed data regarding current diagnoses.

Exploring the acceptance of robotic assisted surgery among the Indian population: An empirical investigation

Background Technology has completely transformed healthcare, starting with X-ray machines and MRIs to telehealth and robotic surgeries to e-health records. The launch of minimally invasive surgery (MIS) serves as a milestone in medical history, offering benefits such as smaller incisions, shorter hospital stays, and faster recovery, making it a preferred surgical option. This study mainly explores patients’ willingness to adopt robot-assisted surgery (RAS) technology in a surgical intervention and is assessed in the backdrop of the Technology Acceptance Model (TAM). Methods This research project employs a post-positivist research philosophy and a cross-sectional research design. A structured, pre-tested questionnaire was used to collect data from 280 respondents. Results The results revealed that trust had a significant impact on Perceived Usefulness (β = 0.099) and Perceived Ease of Use (β = .157), and eHealth literacy had a significant impact on Perceived Ease of Use (β = 0.438) and Perceived Usefulness (β = 0.454). Additionally, Perceived Usefulness partially influenced behavioral intention (β = 0.123), and attitude had a significant influence on behavioral intention (β = 0.612). The analysis revealed an insignificant impact of eHealth literacy on Perceived Usefulness (β = 0.067). The Standard Root Mean Square Residual (SRMR) value was &lt;0.8. Mediation analysis also revealed partial mediation between the constructs. The SRMR rating of this model is 0.067, indicating that it fits the data well. Conclusion This study revealed that a patient's intention will be high if he or she believes that RAS is beneficial in treating his or her ailment. In comparison, information related to RAS is clearly known, and it does not directly affect selection intention. eHealth literacy is a significant antecedent to patients’ behavioral intention. Hence, the healthcare industry must devise strategies to promote the acceptance of RAS at all levels.

Optimizing Item Construction in Diagnostic Mathematics Test

The diagnostic mathematics test is a critical tool for measuring students' abilities to understand and apply mathematical concepts, with the design of good test items being paramount to ensure validity. This study leverages Item Response Theory (IRT) models and Differential Item Functioning (DIF) methods to refine the construction of test items, specifically focusing on rational numbers. Engaging 929 junior high school students from three public schools in Cirebon, West Java The research utilized R Software to analyze the most suitable IRT models and investigate DIF methods. The findings underscore the efficacy of the Parameter Logistic 3PL model based on Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), -2 loglikelihood, and Standardized Root Mean Square Residual (SRMSR) values, alongside item fit, highlighting that nearly all analyzed items were suitable except one that required replacement. Additionally, the identification of items with significant DIF effects points to potential biases, suggesting avenues for enhancing test fairness and reliability. The study's broader implications extend to improving diagnostic assessment practices, informing item design in educational evaluations, and guiding future research towards creating more equitable and precise measures of mathematical understanding. This contributes to a nuanced comprehension of student abilities, offering valuable insights for educators, assessment designers, and policymakers aimed at fostering improved learning outcomes in mathematics education.

Discriminatory ability of perioperative heart rate variability in predicting postoperative complications in major urologic surgery: a prospective cohort study

We aimed to determine if continuous perioperative heart rate variability (HRV) monitoring could improve risk stratification compared to a short preoperative measurement in radical cystectomy patients. Electrocardiography (ECG) recordings were collected continuously preoperatively to discharge in 83 patients. Two, 5-min ECG signal segments (preoperative and at 24-h post ECG placement) were analyzed offline to extract HRV metrics. HRV metric discriminatory ability to identify patients with 30-day postoperative complications were analyzed using receiver operating characteristics curves. Sixty participants were included for analysis of which 27 (45%) developed a complication within 30 days postoperative. HRV was reduced in patients with complications. Postoperative standard deviation NN intervals and root mean square of successive differences had area under the curves (AUC) of 0.67 (95% CI 0.54 to 0.81) and 0.68 (95% CI 0.54 to 0.82), respectively. Significant discriminatory abilities were also reported for postoperative frequency metrics of absolute low frequency (LF) [AUC = 0.65 (95% CI 0.51 to 0.79)] and high frequency (HF) powers [AUC = 0.69 (95% CI 0.55 to 0.83)] and total power [AUC = 0.66 (95% CI 0.53 to 0.80)]. Postoperative acquired HRV metrics demonstrated improved discriminatory ability. Our findings suggest that longer-term perioperative HRV monitoring presents with superior ability to stratify complication risk.

Investigating Structural Model Fit Evaluation

A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while treating the measurement model as a necessary but not primary focus of the overall model. In this case, researchers often wish to isolate and just evaluate the fit of the structural model. In our research, we examine a two-stage approach that can compute the chi-square statistic and fit indices for evaluating only the fit of the structural model in a full SEM. We call these the structural chi-square statistic and structural fit indices. For structural fit indices, we focused on the root mean square error of approximation (RMSEA), comparative fit index (CFI), and standardized root mean square residual (SRMR). We developed several new versions of the structural chi-square statistic, structural fit indices, and confidence intervals (CIs) of the structural fit indices. Through a simulation study, we demonstrated that several versions of our newly developed structural chi-square statistic yielded the nominal Type-I error rate; and the same versions of the structural fit indices exhibited low bias and their corresponding CIs had high coverage rates. Therefore, we recommend researchers use these versions of the structural chi-square test of fit alongside the structural fit indices when evaluating the fit of the structural model.

The Night Eating Questionnaire through the lens of the Rasch model

Previous research focused on the conventional approaches to test psychometric characteristics of the Night Eating Questionnaire (NEQ). The purpose of this research was to examine the psychometric properties of the Night Eating Questionnaire using the Rasch model in a sample of university students. The study was carried out from November 2018 to March 2019 on 300 students in health sciences at the University of Pristina temporarily seated in Kosovska Mitrovica, who completed the NEQ. A confirmatory factor analysis (CFA) suggested that the Serbian version mirrored the original NEQ structure: Goodness of fit index = 0.978, Comparative fit index = 0.996, Tucker-Lewis index = 0.995, Root Mean Square Error of Approximation = 0.011 and Standardized Root Mean Square Residual = 0.057. The Cronbach's alpha coefficient for the total scale was 0.627. The Rasch analysis showed that the item separation index classified the items into six groups based on their level of difficulty. The person reliability index separated well night eaters from day eaters. Few items did not fit the adequate range for the infit/outfit statistics. Overall, there were several groups of NEQ items that have a distinctive difficulty level, but the difference was not a remarkable one. This means that most students did not have night eating syndrome (NES), despite various levels of item difficulty. The NEQ performs well in the efforts to distinguish people who eat and do not eat at night. Most students reported conventional eating patterns and only a few had NES. The properties of the NEQ warrant its use in further night eating research.

Study on the applicability of the Brief Job Stress Questionnaire based on classical test theory and item response theory

Objective: To evaluate the quality and item characteristics of the Brief Job Stress Questionnaire (BJSQ) among employees in manufacturing and service industries. Methods: From December 2021 to December 2022, a total of 2077 employees from 4 manufacturing and service enterprises in Beijing were selected by the method of combining purpose sampling and convenience sampling. The Chinese version of BJSQ was used to carry out a survey on occupational stress from 57 items in 4 dimensions including job stress factors, stress response, social support factors and satisfaction. Classical test theory (CTT) was used to analyze the validity and reliability of the questionnaire. The Semejima hierarchical response model in item response theory (IRT) was used to analyze the differentiation a, difficulty coefficient b and information content of each item. Results: Among the 2077 subjects, the age M (Q(1), Q(3)) was 33 (28, 37) years old, and the working age M (Q(1), Q(3)) was 4 (2, 8) years. There were 723 (34.8%) people in manufacturing industry and 1354 (65.2%) people in service industry. Eleven common factors were extracted by exploratory factor analysis, with a cumulative variance contribution rate of 62.823%, the variance of the common factors of each entry ranging from 0.451 to 0.865, and the range of factor loading values from 0.413 to 0.825, with 5 items having cross-loadings. The results of the validation factor analysis showed that the model fit indexes of root means square error of approximation was 0.055, comparative fit index was 0.950, Tucker Lewis index was 0.948, and standardized root mean square was 0.066. Content validity results showed that the total scores of the Chinese version of the BJSQ were positively correlated with the scores of the 4 dimensions (r(s)=0.487-0.936, P<0.05) . The results of the reliability analysis showed that the Cronbach's alpha coefficient for the total questionnaire was 0.945, and the Cronbach's alpha coefficients of job stress factors, stress response and social support factors were 0.775, 0.957, and 0.830, respectively. The Spearman-Brown coefficient for the total questionnaire was 0.866, and for the 3 dimensions, it was 0.572, 0.882 and 0.772. The results of IRT analysis showed that only 1 of the 57 items had a differentiation a-value<0.30, the difficulty coefficient b-value of each item ranged from -12.02 to 11.09, of which 8 items had a difficulty coefficient that was too high, 3 items had a difficulty coefficient that was too low, and 3 items did not meet the requirements, and the average amount of information in each item ranged from 0.022 to 2.566, and there were 47 items with average amount of information>0.088 (5/57) . Conclusion: The Chinese version of BJSQ has good reliability and validity in the typical occupational groups of manufacturing and service industries in China, and most of the items have good performance, but some items still need to be further improved and optimized or deleted.

Resilience as a Modulating Factor of Empathy in Medical Students

Resilience as a Modulating Factor of Empathy in Medical Students

The Chinese version of the general benefit finding scale (GBFS): Psychometric properties in a sample of college students.

Benefit finding has become a central construct in the evolution of positive psychology and attracted attention in recent literature. This study aimed to translate and validate the General Benefit Finding Scale (GBFS) in Chinese college students. Forward- and back-translation of the GBFS was followed by the assessment of semantic equivalence and content validity. A sample of 589 college students was recruited in China to conduct reliability and validity analysis. The construct validity was assessed using exploratory (EFA) and confirmatory factor analysis (CFA). Concurrent validity was assessed using Pearson's correlation coefficients of the GBFS with the Perceived Stress Scale (PSS) and World Health Organization-Five Well-Being (WHO-5). Internal consistency and two-week test-retest reliability were also evaluated. The content validity index for each item ranged from 0.83 to 1.00. EFA revealed a six-factor model, which exhibited acceptable goodness of fit in CFA (standardized root mean square residual = 0.031, root mean square error of approximation = 0.059, goodness-of-fit index = 0.860, comparative fit index = 0.904, Tucker-Lewis index = 0.890, chi-squared/degree of freedom = 2.07). The concurrent validity of the GBFS was supported by its statistically significant correlations with PSS (r = -0.271, p<0.001) and WHO-5 (r = 0.354, p<0.001). Moreover, the internal consistency for the overall scale was satisfactory, with Cronbach's α coefficient of 0.93 and McDonald's omega reliability of 0.94. The test-retest reliability was 0.82. Although the Chinese version of GBFS was examined in a homogeneous convenience sample of college students, it provides a reliable and valid instrument for assessing benefit finding in the Chinese context.

A Chinese version of the infertility self-efficacy scale: Reliability and validity assessment

ObjectiveTo translate, cross-culturally adapt and test the reliability and validity of a Chinese version of the Infertility Self-Efficacy scale. MethodsThe Infertility Self-Efficacy (ISE) scale was translated into Chinese using forward and backward translations, expert consultation, cognitive interviews and a pilot study. To test the scale's reliability and validity, 515 infertile women in two hospitals were recruited to evaluate the Chinese version of the scale. Content validity was assessed by means of expert consultation. Exploratory factor and confirmatory factor analyses were performed using SPSS 26.0 and Amos 24.0. Reliability tests of the scale included Cronbach's alpha coefficient, split-half reliability and test-retest reliability. ResultsThe Chinese version of the ISE scale contains 16 items and one dimension. Content validity of the scale was 0.96. Results of exploratory factor analysis suggested that the one factor model was suitable for the scale, and factor loading of all items was greater than 0.4. Model fitting parameters of confirmatory factor analysis of the ISE scale were χ2/df = 2.710, Root Mean Square Error Approximation (RMSEA) = 0.079, Standardized Root Mean Square Residual (SRMR) = 0.042, Comparative Fit Index (CFI) = 0.953, and Tucker–Lewis Index (TLI) = 0.939. Cronbach's alpha coefficient of the Chinese ISE was 0.980; split-half coefficient was 0.972 and retest reliability was 0.848 (P < 0.01). ConclusionThe Chinese ISE scale is a reliable and valid instrument to evaluate the self-efficacy of infertile Chinese women.

Validation of the Learner Engagement Instrument for Continuing Professional Development.

Learner engagement is the energy learners exert to remain focused and motivated to learn. The Learner Engagement Instrument (LEI) was developed to measure learner engagement in a short continuing professional development (CPD) activity. The authors validated LEI scores using validity evidence of internal structure and relationships with other variables. Participants attended 1 of 4 CPD courses (1 in-person, 2 online livestreamed, and 1 either in-person or online) in 2018, 2020, 2021, and 2022. Confirmatory factor analysis was used to examine model fit for several alternative structural models, separately for each course. The authors also conducted a generalizability study to estimate score reliability. Associations were evaluated between LEI scores and Continuing Medical Education Teaching Effectiveness (CMETE) scores and participant demographics. All statistical methods accounted for repeated measures by participants. 415 unique participants attended 203 different CPD presentations and completed the LEI 11,567 times. The originally hypothesized 4-domain model of learner engagement (domains: emotional, behavioral, cognitive in-class, cognitive out-of-class) demonstrated best model fit in all 4 courses, with Comparative Fit Index ≥0.99, Standardized Root Mean Square Residual ≤0.031, and Root Mean Square Error of Approximation ≤0.047. The reliability for overall scores and domain scores were all acceptable (50-rater G-coefficient ≥ 0.74) except for the cognitive-in-class domain (50-rater G-coefficient 0.55 to 0.66). All findings were similar for both in-person and online delivery modalities. Correlation of LEI scores with teaching effectiveness was confirmed (rho 0.58), and a small correlation was found with participant age (rho 0.19); other associations were small and not statistically significant. Using these findings, we generated a shortened 4-item instrument, the LEI Short Form. This study confirms a 4-domain model of learner engagement, and provides validity evidence that supports using LEI scores to measure learner engagement in both in-person and livestreamed CPD activities.

Psychometric properties of the Thai Qualifications Framework for Higher Education instrument among Royal Thai Air Force nurse stakeholders.

The Thai Qualifications Framework for Higher Education (TQF: HEd) serves as a framework to enhance the quality of higher education in Thailand. However, no valid and reliable TQF: HEd instrument is available to measure the quality of graduates among Royal Thai Air Force Nurses. This study aimed to assess the psychometric properties of the TQF: HEd instrument among graduate nurses of the Royal Thai Air Force. Psychometric testing of the instrument was conducted. The instrument's validity was evaluated through a review by a panel of five experts, providing a content validity index (CVI). Construct validity was assessed using Confirmatory Factor Analysis (CFA) with a sample size of 308, and Cronbach's α coefficient was utilized to measure the scale's internal consistency. The Scale-Content Validity Index (S-CVI) was 0.88. CFA yielded the following fit indices: χ2 = 265.861, p = 0.068, df = 233, χ2/df ratio = 1.141, Comparative fit index (CFI) = 0.996, Tucker Lewis Index (TLI) = 0.993, Root Mean Square Error of Approximation (RMSEA) = 0.021, and Standardized Root Mean Square Residual (SRMR) = 0.033. The scale reliability was acceptable, with a Cronbach's alpha coefficient of 0.93 and 0.85-0.92 for the six factors. The TQF: HEd instrument demonstrates satisfactory psychometric properties, which will be valuable for those in charge of the curriculum in utilizing the instrument to measure graduate competency and guide curriculum development.

Assessing Electronic Health Literacy in Individuals With the Post-COVID-19 Condition Using the German Revised eHealth Literacy Scale: Validation Study.

The eHealth Literacy Scale (eHEALS) is a widely used instrument for measuring eHealth literacy (eHL). However, little is known so far about whether the instrument is valid for the assessment of eHL in persons who are affected by the post-COVID-19 condition. This is particularly important as people with the post-COVID-19 condition are frequently affected by false information from the internet. The objective of our study was to evaluate the validity and reliability of the German Revised eHealth Literacy Scale (GR-eHEALS) in individuals with the post-COVID-19 condition. A cross-sectional study was conducted from January to May 2022. The self-assessment survey consisted of the GR-eHEALS, health status- and internet use-related variables, sociodemographic data, and (post)-COVID-19-related medical data. Confirmatory factor analysis (CFA), correlational analyses, and tests of measurement invariance were deployed. In total, 330 participants were included in the statistical analyses. CFA revealed that the 2-factor model reached an excellent model fit (comparative fit index=1.00, Tucker-Lewis index=0.99, root mean square error of approximation=0.036, standardized root mean square residual=0.038). Convergent validity was confirmed by significant positive correlations between eHL and knowledge of internet-based health promotion programs, experience in using these programs, and the duration of private internet use. In addition, a significantly negative relationship of eHL with internet anxiety supported convergent validity. Further, significant relationships of eHL with mental health status and internal health locus of control confirmed the criterion validity of the instrument. However, relationships of eHL with physical health status and quality of life could not be confirmed. The 2-factor model was fully measurement invariant regarding gender. Regarding age and educational level, partial measurement invariance was confirmed. The subscales as well as the overall GR-eHEALS reached good-to-excellent reliability (Cronbach α≥.86). The GR-eHEALS is a reliable and largely valid instrument for assessing eHL in individuals with the post-COVID-19 condition. Measurement invariance regarding gender was fully confirmed and allows the interpretation of group differences. Regarding age and educational level, group differences should be interpreted with caution. Given the high likelihood that individuals with the post-COVID-19 condition will be confronted with misinformation on the Internet, eHL is a core competency that is highly relevant in this context, in both research and clinical practice. Therefore, future research should also explore alternative instruments to capture eHL to overcome shortcomings in the validity of the GR-eHEALS.

Autonomy, Resilience and Life Satisfaction among Badminton Paralympians.

People with disabilities are marginalised in mainstream culture and they also experience increased restrictions in a variety of areas, such as sport. The barriers they encounter may adversely affect their life satisfaction, especially if they have a low perceived sense of autonomy and resilience. The purpose of this study was to investigate the relationship between autonomy, resilience and life satisfaction in para-badminton athletes and the mediating role of resilience in the relationship between autonomy and life satisfaction. Data were collected from 137 para-badminton athletes (male: 65.0% and female: 35.0%). Self-reported measures were used to assess the participants' autonomy, resilience and life satisfaction levels. A structural equation model analysis was performed; the model had sufficient fit indices (comparative fit index [CFI] = 0.94, root mean square error of approximation [RMSEA] = 0.06, standardised root mean square residual [SRMR] = 0.07). The findings showed that autonomy had a significant effect on resilience (β = 0.32, P = 0.001). Further, resilience had a significant effect on life satisfaction (β = 0.19, P = 0.011) and significantly mediated the effect of autonomy on life satisfaction (β = 021, P = 0.033). This study revealed that autonomy fosters resilience among athletes, in turn allowing them to achieve greater life satisfaction. Therefore, society and sport communities should actively seek ways to improve the autonomy and resilience levels of athletes with disabilities.

Evaluating the Psychometric Properties of the Sexual and Gender Minority Adverse Childhood Experiences Scale Among Sexual Minority Men and Women.

Adverse childhood experiences (ACEs) are known determinants of negative health outcomes. Sexual and gender minority (SGM) individuals have higher ACE scores than non-SGM individuals. The SGM-ACE scale was developed to better assess this population but is not yet validated in SGM subgroups. This study aims to validate the sexual and gender minority adverse childhood experiences (SGM-ACE) scale among sexual minority men (SMM) and sexual minority women (SMW), while testing measurement invariance across both groups. A cross-sectional survey included 530 sexual minority adults (265 men, 265 women) in the United States. Cronbach's alpha established internal consistency reliability. Validity was assessed via confirmatory factor analysis (CFA) for the SGM-ACE's theoretical structure and Pearson's correlations for concurrent validity with substance use outcomes (alcohol, cannabis, and drugs). Multigroup structural equation modeling (SEM) determined measurement invariance between SMM and SMW. The CFA of the original model exhibited good fit. Fit was improved after removing the institutionalization item, chi-square (χ2) = 14.26, degrees of freedom (df) = 9, p = 0.113, minimum discrepancy (CMIN/df) = 1.59, comparative fit index (CFI) = 0.99, root mean square error of approximation (RMSEA) = 0.03, 90% confidence interval (CI): (0.00-0.06), and standardized root mean square residual (SRMR) = 0.02. Internal consistency reliability was established (α = 0.78). SGM-ACE exhibited weak, yet significant relationships with each substance use outcome. Multigroup SEM indicated measurement invariance between SMM and SMW. This study provides psychometric validation of the SGM-ACE, establishing measurement invariance between SMM and SMW. Future research should explore its utility in diverse SGM minority subgroups.

Measurement and Countermeasures for College Students’ Emotions and Attitudes Post-popular Feelings Events: An Analysis Based on Smart PLS Model Data

To accurately gauge the emotional and attitudinal responses of college students post-popular feelings events, and to formulate scientifically sound strategies for managing public sentiment effectively and forestalling secondary quandaries, a pioneering big data simulation approach is introduced. This method, utilizing big data collection and processing techniques, entails the random sampling of a substantial number of college students to gather evaluative data on their emotional and attitudinal shifts before and after popular feelings events, as well as the efficacy of countermeasures. Subsequent to this, the amassed data undergoes meticulous fitting analysis via the Smart PLS 4.0 software. Noteworthy among the impact coefficients are negative emotions (r=0.146), negative attitudes (r=0.132), and the pivotal role of student opinion leaders (Loading=0.921). The standardized root mean square residual (SRMR) of 0.049 underscores the confirmatory model’s relevance. Results underscore the need for countermeasures to place a significant emphasis on mitigating negative emotions among college students. Selection of student opinion leaders and the establishment of rumor-refutation teams emerge as vital components of these response initiatives.

A Case Study of Indonesian Amateur Boxing Athletes: Is There an Influence of Organizational Culture and Quality of Service on Performance through Achievement Motivation as a Mediator?

This study aims to analyze the relationship of organizational culture and service quality to the performance of amateur boxing athletes in Indonesia through achievement motivation as a mediator variable. This correlational quantitative approach used Structural Equation Modeling (SEM) with the help of Smart-PLS. The sample was 100 amateur boxers aged 22.5±2.0 years with 6.1±0.8 years of training experience. The validity test of the Fornell-Lacker Criterion result shows a construct value greater than other constructs (&gt;0.7). Meanwhile, the reliability test of all items in the variable showed the results of composite reliability (&gt;0.7) and Cronbach Alpha (&gt;0.7). The R square value on the performance of amateur boxing athletes is 0.764 or 76.4%, while the R square on achievement motivation is 0.570 or 57%. The SRMR value or Standardized Root Mean Square 0.077 &lt; 0.10 or 0.077 &lt; 0.08, then the model fits with the data. Then the hypothesis results, organizational culture on performance P-Values 0.000, service quality on the performance of P-Values 0.006, organizational culture on performance through achievement motivation of P-Values 0.003, service quality on performance through achievement motivation of P-Values 0.023, meaning that the four hypotheses are acceptable. The combination of organizational culture and service quality must be united, especially in achievement sports because the study of achievement sports is always associated with the ability of athletes, psychology or the ability of coaches without reporting the influence of other variables. Future research studies need to use mixed methods, considering that organizational culture and service quality variables have broad aspects, and of course, the organizational culture of each country is different Keywords: Organizational Culture, Service Quality, Achievement Motivation, Boxing Performance.

Investigating the internal structure of multiple mini interviews-A perspective from Pakistan.

Healthcare professionals require many personal attributes in addition to cognitive abilities and psychomotor skills for competent practice. Multiple Mini- Interviews are being employed globally to assess personality attributes of candidates for selection in health professions education at all level of entry; these attributes are namely, communication skills, critical thinking, honesty, responsibility, health advocacy, empathy and sanctity of life. Considering the high stakes involved for students, faculty, institutions and the society, rigorous quality assurance mechanisms similar to those used for student assessment must be employed for student selection, throughout the continuum of medical education. It is a difficult undertaking as these psychological constructs are difficult to define and measure. Though considered to yield reliable and valid scores, studies providing multiple evidences of internal structure especially dimensionality of Multiple Mini-Interviews are sparse giving rise to questions if they are measuring a single or multiple constructs and even if they are measuring what they are purported to be measuring. The main objective is to provide statistical support of the multi-dimensional nature of our Multiple Mini Interviews, hypothesized a-priori, through CFA. Another objective is to provide multiple evidences for the internal structure. Our study highlights the link between content and internal structure evidences of the constructs, thus establishing that our Multiple Mini Interviews measure what they were intended to measure. After securing permission from the Institutional review board, an a-priori seven factor-model was hypothesized based on the attributes considered most essential for the graduating student of the institution. After operationally defining the attributes through extensive literature search, scenarios were constructed to assess them. A 5-point rating scale was used to rate each item on the station. A total 259 students participated in the multiple mini interviews over a period of three days. A training workshop had been arranged for the participating faculty. The reliability coefficient using Cronbach's alpha were calculated (range from 0.73 to 0.94), Standard Error of Measurement (ranged from 0.80 to1.64), and item to station-total correlation ranged from 0.43-0.50 to 0.75-0.83. Inter-station correlation was also determined. Confirmatory factor analysis endorsed the results of Exploratory factor analysis in the study revealing a seven model fit with multiple indices of Goodness-of-fit statistics such as Root mean square error of approximation (RMSEA) value 0.05, Standardized root mean square residual (SRMR) value with less than 0.08. All these indices showed that model fit is good. The Confirmatory factor analysis confirmed the multi-dimensional nature of our MMIs and also confirmed that our stations measured the attributes that they were supposed to measure. This study adds to the validity evidence of Multiple Mini-Interviews, in selection of candidates, with required personality traits for healthcare profession. It provides the evidence for the multi-dimensional structure of Multiple Mini interviews administered with multiple evidences for its internal structure and demonstrates the independence of different constructs being measured.