Standardized Root Mean Square Residual Research Articles

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.

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.

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.

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.

Psychometric features of the Cocaine Use Motivation Questionnaire (CUMQ)

ObjectivesCocaine use has tended to increase over the past decade, particularly among younger populations. Cocaine is the second most commonly used illicit substance in France. Over the past few years, there has been an uptick in cocaine consumption in the country. The observed increase in consumption raises questions about the underlying motives. The goal of the present study is to construct and validate a questionnaire that explores the motivation behind cocaine use. Materials and methodsThis paper consists of two studies conducted on different data collections. In the first study, one thousand, one hundred and thirteen (n=1113) individuals participated and six hundred and seventy (n=670) individuals participated in the second study. All participants were current or former cocaine users. These participants completed an online sociodemographic questionnaire, a constructed questionnaire exploring motivations for cocaine use. This questionnaire was developed using the self-determination theory of (Deci & Ryan, 1985) and 11 semi-structured interviews with users. The purpose of these interviews was to explore the motivation for cocaine use, the expected benefits, and the negative consequences. From literature and the corpus of previously completed interviews, a first version of the questionnaire with 31 items was produced. The research respects the ethical recommendations of Helsinki and has received a favorable opinion from the research ethics committee. The data was collected anonymously and on a voluntary basis. ResultsIn the first study, 574 (51.6%) men and 539 (48.4%) women participated. The mean age of the participants was 25.0 years (SD=5.83) ranging from 18 to 65 years old. In the second study 310 (46.3%) men and 360 (53.7%) women participated. The mean age of the participants was 25.7 years (SD=4.23) ranging from 18 to 48 years old. Initially, an exploratory factor analysis was carried out. This first analysis resulted in a 23-item questionnaire with a four-factor solution: pleasant sensations, social pressure and self-image, absence of motivation, and curiosity and experience. The psychometric indicators were quite satisfactory with X2 (465)=15951, P<0.001 for the Bartlett test and 0.91 for the KMO (Kaiser-Meyer-Olkin) test. In the second part of the research, the confirmatory factor analysis indicated a solution with three factors and 21 items. Psychometric indicators showed CFI (Comparative Fit Index)=0.89, RMSEA (Root Mean Square Error of Approximation)=0.06 and SRMR (Standardized Root Mean Square Residual)=0.06. The three main factors for cocaine use were: pleasant and positive sensations, social pressure and self-esteem, and amotivation. ConclusionsThis study laid the groundwork for the development of a valid questionnaire to explore and better understand the cocaine users’ motivations, thereby enabling preventive and therapeutic measures to be adjusted accordingly. This questionnaire can also be used for future research on cocaine use, which is focused on mental health as well as family history and history of traumatic life events, as associated with cocaine use. We may also consider replicating this study on a clinical population with a cocaine-dependency diagnosis, potentially revealing additional motivations.

The psychometric properties of the Arabic version of the dieting beliefs scale (DBS)

BackgroundThere are relatively few data about the association between locus of control and weight loss in Arabic populations. A tool does exist, the Dieting Belief Scale (DBS), that was designed to measure individuals’ beliefs regarding their ability to control their body weight. The aim of this study was to translate this tool into Arabic and to evaluate its psychometric properties. MethodsThe forward translation of the DBS from English to Arabic was completed by two professional bilingual translators, while the back translation from Arabic to English was independently performed by another two different professional bilingual translators. An online survey using the tool was then completed by 245 participants, fully aware of the study's purpose. Psychometric analyses were subsequently conducted to assess the reliability and validity of the Arabic DBS.Internal consistency was examined using Cronbach's α and McDonald's ω coefficients. Test-retest reliability was also assessed. Confirmatory factor analysis was employed to evaluate the fit of a three-factor model, with indices including Comparative Fit Index (CFI), Tucker Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR). Convergent validity was assessed by examining the correlation between the Arabic DBS and the Eating Attitude Test (EAT-26) previously translated into Arabic, the latter identifying attitudes, feelings and behaviors related to eating. ResultsThe Arabic translated DBS scale demonstrated high translation accuracy and content validity estimates. Cronbach's α and McDonald's ω reliability coefficients for the translated scale were approximately 0.91. Test-retest reliability was 0.96. The three-factor model showed an acceptable fit (CFI = 0.93, TLI = 0.92, RMSE = 0.08, SRMR = 0.06). The Arabic version of the DBS was found to have good convergent validity, as evidenced by the significant correlation between the EAT-26 and DBS questionnaires (r = 0.53, p < 0.01). ConclusionThe Arabic version of the DBS is highly reliable and has sufficient content validity to measure belief about personal ability to control one's weight.

Evaluating the cross-cultural competence instrument for healthcare professionals (CCCHP) among nurses in Okinawa, Japan

BackgroundTo provide better quality healthcare services to patients with different linguistic and cultural backgrounds, the cross-cultural competence of medical professionals is important. However, assessing and improving the cross-cultural competence of healthcare professionals is difficult in Japan, as there is no standardized scale to measure the competence. This study’s purpose was to translate the Cross-Cultural Competence instrument for Healthcare Professionals (CCCHP), which was developed and used in Europe, and to examine its reliability and validity among Japanese nurses.MethodsDuring June and July 2021, nursing staff were invited to take web- and paper-based surveys in Okinawa Japan. The CCCHP (five-factor model with 27 items across motivation, attitude, skills, emotion, and knowledge) was translated using a combination translation method, and a five-point Likert scale was used for responses. Exploratory and confirmatory factor analyses and known-group method were used to examine structural validity, while Cronbach’s alpha coefficient was used to test reliability.ResultsA total of 294 responses were analyzed; 77.2% had more than five years of experience. Since the fit index indicated that the five-factor model was not a good fit, it was modified to a four-factor model (J-CCCHP24) by moving three variables, removing the knowledge factor, and using the error covariance of the variables. The fit index after the modification was improved to comparative fit index (CFI) = 0.92, Tucker-Lewis index (TLI) = 0.91, root mean square error of approximation (RMSEA) = 0.05, and standardized root mean square residual (SRMR) = 0.06, and Cronbach’s alpha was 0.85. The mean scores of J-CCCHP24 were significantly higher in the group with a history of overseas travel, higher foreign language skill, training in intercultural care, experience of foreign patient care, and intercultural interactions outside the workplace than in the group without these characteristics.ConclusionThis study confirmed the validity and reliability of the modified Japanese version of the CCCHP (four-factor model with 24 items). The results suggest that the exposure to different cultures on a personal level may help improve nurses' cross-cultural competence. Further refinement of this scale for practical use would encourage the implementation of necessary countermeasures to improve the cross-cultural competence of Japanese healthcare professionals.

Validity arguments for creating a short motivation scale through adaptation of the Japanese motivated strategies for learning questionnaire

Background The coronavirus disease pandemic has substantially altered the mode of medical education, transitioning it from in-person to online. Online learning requires a strong motivational foundation to support self-directed studying. In our previous study, an adapted 31-item Japanese motivation measurement scale using the motivational section from the Japanese version of the Motivated Strategies for Learning Questionnaire (J-MSLQ) was developed. The present study aimed to collect evidence on the validity of the motivation section of the J-MSLQ and clarify whether further revision was necessary. Methods The motivation section of the J-MSLQ comprises a seven-point Likert scale survey containing 31 items. Of 127 fourth-year Japanese medical students invited to participate, 112 responded. Confirmatory factor analysis with structural equation modeling (SEM) was performed using R and R studio for all data analysis. Results The initial SEM model that incorporated all 31 items exhibited inadequate goodness of fit metrics: χ2 = 823.674 (p &lt; 0.001), the comparative fit index (CFI) = 0.786, the root mean square error of approximation (RMSEA) = 0.093, the standardized root mean square residual (SRMR) = 0.112, the goodness of fit index (GFI) = 0.664, and the adjusted goodness of fit index (AGFI) = 0.602. We optimized the scale by eliminating 12 items with a Z test statistic &lt; 10. Improvements in the goodness of fit metrics of the optimized SEM model were observed, demonstrating moderate model fit: χ2 = 205.602 (p &lt; 0.001), CFI = 0.929, RMSEA = 0.080, SRMR = 0.063, GFI = 0.837, AGFI = 0.768. Conclusions A compact 18-item version of the motivation scale was developed and validated, which alleviated the respondent burden and enabled the researchers to collect data in a shorter time.

Factor structure and longitudinal invariance for the Chinese Mainland version of the Edinburgh postnatal depression scale during pregnancy

BackgroundThere are inconsistent results on the Edinburgh Postnatal Depression Scale's (EPDS) factor structure and longitudinal invariance among different cultures. Furthermore, limited relevant studies in Chinese pregnant women exist. PurposeTo test the factor structure of the Chinese Mainland EPDS during pregnancy and conduct longitudinal invariance analyses. MethodsA national multi-centre cohort study was conducted among 1207 pregnant women selected consecutively by convenience sampling from five hospitals in Zhuhai, Taiyuan, Haidian, Changchun, and Shenzhen in China between August 2015 and October 2016. Depression was measured by the EPDS during gestational weeks 10–13, 15–18, 23–25, 30–32 and 36–37, respectively.s ResultsThree factors with eigenvalues nearly larger than 1.0 were optimal for the Chinese Mainland EPDS, labelled “anxiety,” “anhedonia,” and “depression,” and contained items 3–5, 1–2, and 6–10, respectively. The confirmatory factor analysis results of standardized root mean square residual (SRMR) = 0.034, root mean square error of approximation (RMSEA) = 0.049, comparative fit index (CFI) = 0.968, Tucker-Lewis index (TLI) = 0.954, and χ2, p < 0.05 indicated good fit. For the longitudinal invariance tests, the configural invariance was met, with the CFI and TLI both higher than 0.90 and the RMSEA lower than 0.08 (CFI = 0.919, TLI = 0.908, and RMSEA = 0.034). The metric-, scalar-, and strict invariances were met. ConclusionsThe three-factor model of the Chinese Mainland EPDS is invariant in pregnancy, suggesting stability and comparability in identifying the women screened positive at different points during pregnancy and making the scale feasible to screen prenatal depression and anxiety simultaneously.

Development and Validation of Telehealth Competency Questionnaire-Provider.

Background: Given the rapid increase in telehealth utilization, health care providers are being increasingly trained to deliver services virtually. However, there are limited measures available to assess the extent to which structured trainings influence competency domains associated with telehealth delivery. Methods: The authors developed the Telehealth Competency Questionnaire-Provider (TCQ-P) using a multistep process, including a literature review and expert reviewers. Using two datasets, we used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to validate and refine the tool, respectively. The final version contained 17 items. Model fit was evaluated using the comparative fit index (CFI) (>0.90), Tucker-Lewis index (TLI) (>0.80), standardized root mean square residual (SRMR) (<0.08) and root mean square of error of approximation (RMSEA) (<0.08). Results: Participants included n = 701 in the exploratory study and n = 721 in the confirmatory study. Two items were revised, and one item was deleted as a result of the EFA, and the CFA of 17 number of items supported a 3-factor model (i.e., Evaluation, Rapport, Troubleshooting). Model fit was good, with CFI = 0.984, TLI = 0.978, RMSEA = 0.051, and SRMR = 0.035. Discussion: The TCQ-P measures three essential domains of telehealth competency, which is essential for future health care providers. The measure may be used to assess telehealth training outcomes.

Confirmatory factor analysis and gender invariance of Persian version of the modified Yale food addiction scale (mPYFAS) 2.0: insight from a large scale Iranian sample

BackgroundThe Modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) was developed with the primary objective of evaluating food addiction (FA). The present study aimed to undertake the translation, pilot testing, and evaluation of the psychometric properties of the mYFAS 2.0 within the Persian-speaking population.MethodsThe transcultural adaptation of the mYFAS 2.0 to the Persian language was conducted. Data collection was carried out through an anonymous online questionnaire. Participants completed the Persian versions of the mYFAS 2.0, Binge Eating Scale (BES), Barratt Impulsivity Scale (BIS-11), and Connor-Davidson Resilience Scale (CD-RISC). The assessment encompassed the evaluation of internal consistency reliability, factor structure, as well as convergent and discriminant validity of the aforementioned questionnaires.ResultsConfirmatory factor analysis revealed that the single-factor model of the Persian translation of mYFAS 2.0 performed satisfactorily, with comparative fit index (CFI) and Tucker-Lewis index (TLI) values exceeding 0.95, standardized root mean square residual (SRMR) less than or equal to 0.09, and root mean square error of approximation (RMSEA) below 0.03. The internal consistency and composite reliability of the mYFAS 2.0 were favorable in the entire sample, as well as in both male and female groups, with alpha (α) values of 0.83, ordinal alpha (αord) of 0.93, and composite reliability (CR) of 0.86. Additionally, significant relationships were observed between the total score of BES (r = 0.59, p < 0.001), BIS-11 (r =  − 0.16, p < 0.001), and CD-RISC (r = 0.22, p < 0.001) with mYFAS 2.0-diagnosed FA presence, severity, and symptom count.ConclusionsThe Persian version of the mYFAS 2.0 exhibited satisfactory psychometric properties.

Psychometric properties and gender invariance of the 8-item emotion regulation questionnaire (ERQ-8) among Chinese university students.

To assess emotion regulation strategies in a clear and direct manner, Emotion Regulation Questionnaire (ERQ) was developed based on the process model of emotion regulation. ERQ primarily assesses an individual's propensity for reappraisal (a cognitive change in the individual's psychological state in specific situations) and expressive suppression (a regulatory response where an individual alters their emotional response after the onset of an emotional reaction). Recent studies have suggested that the abbreviated 8-item version of the ERQ exhibits comparable model fit to the original version. The present study aimed to explore the psychometric properties and assess cross-gender invariance of the ERQ-8 in Chinese university students. University students from Jiangsu Province participated in this study. Participants completed self-report surveys assessing emotion regulation strategies. It was conducted from May 2022 to July 2022. The study employed confirmatory factor analysis (CFA) to assess the two-factor model of ERQ-8 and measurement invariance across male and female samples. The mean age of 1534 participants was 19.83 years (SD = 1.54), and the majority were female (70.4%). The initial ERQ-10 model with ten items demonstrated good fit for all indicators, CFI (Comparative Fit index) = 0.967, TLI (Tucker-Lewis Index) = 0.957, RMSEA (Root Mean Square Error of Approximation) = 0.043, SRMR (Standardised Root Mean Square Residual) = 0.029. However, to assess the fit of the previously proposed ERQ-8 model, two items (Q1 and Q3) were excluded. The fit of the ERQ-8 model was further improved (CFI = 0.989, TLI = 0.984, RMSEA = 0.029, SRMR = 0.021). All item loadings exceeded or were equal to 0.573. Internal consistency analysis based on the ERQ-8 model revealed Cronbach's alpha values of 0.840 for reappraisal and 0.745 for suppression, and corresponding composite reliability (CR) values of 0.846 and 0.747, respectively. Test-retest reliability, assessed using the intraclass correlation coefficient (ICC) (95% CI) within a one-week interval, ranged from 0.537 to 0.679. The correlation coefficient between the two factors was 0.084, significantly below 0.85, which suggested a low correlation between the two factors. The results of the invariance analysis across gender demonstrated that the values of ΔCFI and ΔTLI were both below 0.01. It was supported the gender invariance of the ERQ-8 among university students. The eight-item ERQ demonstrated validity and reliability in evaluating emotion regulation strategies, and measurement invariance was observed across gender among university students. The ERQ-8 may prove to be a practical and cost-effective tool, particularly in time-constrained situations.

The Turkish Adaptation Study of the Digital Addiction Scale For Children: A Validity and Reliability Study

Objective: The study was conducted to perform the Turkish validity and reliability study of the Digital Addiction Scale for Children (DASC). Methods: The study was completed with 259 students (primary school 4th grade, secondary school 5th, 6th, and 7th grades). The research data were analyzed by transferring them to Statistical Package for the Social Science (SPSS) 25 and Amos 22.0.0.0 package programs. In the validity and reliability analyses of the scale, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis (Cronbach’s alpha), and test-retest were performed to determine the internal consistency of the factors. Results: The Kaiser-Meyer-Olkin value was found to be 0.941 as a result of EFA, and the following fit indices were obtained as a result of CFA; χ²/sd: 2.258, (RMSEA): 0.07, Comparative Fit Index (CFI): 0.907, Standardized Root Mean Square Residual (SRMR): 0.049. Cronbach's alpha value of the overall 25-item scale was found to be 0.946. As a result of the test-retest, the Intraclass Correlation Coefficient (ICC) was identified as 0.938 for the overall scale. Conclusion: It was found that the DASC was a valid and reliable measurement tool that could assess the level of digital addiction in Turkish children aged 9-12.

Validity and reliability of the Chinese version of digital health readiness questionnaire among hypertension patients in rural areas of China.

Digital health has the potential to support health care in rural areas by overcoming the problems of distance and poor infrastructure, however, rural areas have extremely low use of digital health because of the lack of interaction with technology. There is no existing tool to measure digital health literacy in rural China. This study aims to test and validate the digital health readiness questionnaire for assessing digital readiness among patients in rural China. Due to the different Internet environments in China compared to Belgium, a cultural adaptation is needed to optimize the use of Digital Health Readiness Questionnaire in China. Then, a prospective single-center survey study was conducted in rural China among patients with hypertension. Confirmatory factor analysis was computed to test the measurement models. A total of 330 full questionnaires were selected and included in the analysis. The model-fit measures were used to assess the model's overall goodness of fit (Chi-square/degrees of freedom = 5.060, comparative fit index = 0.889, Tucker-Lewis index (TLI) = 0.869, root mean square error of approximation (RMSEA) = 0.111, standardized root mean square residual (SRMR) = 0.0880). TLI is a little bit lower than the borderline (more than 0.9) and RMSEA is higher than it (less than 0.08 means good model fit). We deleted two items 2 and 4 and the result shows a better goodness of fit (Chi-square/degrees of freedom = 4.897, comparative fit index = 0.914, TLI = 0.895, RMSEA = 0.109, SRMR = 0.0765). To increase applicability and generalizability in rural areas, it should be considered to use the calculation of only the parts Digital skills, Digital literacy and Digital health literacy which are equally applicable in a Belgian population as in a rural Chinese population.

Analisis Faktor Konfirmatori untuk Mengidentifikasi Peubah Indikator Utama dalam Pengukuran Peubah Laten

Research on attitudes, preferences and behavior are research that involves latent variables. Latent variables are measured by observing some indicator variables. Indicator variables that measure a latent variable are selected based on the researcher's perspective, however, it is necessary to consider the previous of related research. Indicator variables need to have theoretical meaning, be valid and reliable in measuring latent variables. Confirmatory factor analysis (CFA) is a statistical method that can be used to determine the validity of the indicator variables. In this research, CFA is used to determine the main indicator variables that characterize the reasons for choosing a study program at a university by high school graduates (or equivalent). There are 20 indicator variables chosen to represent several latent factors such as image, job prospects, interests and campus facilities. The results indicate that the latent factors of image, job prospects, interest and facilities can be respectively represented by the majority of alumni occupying strategic positions in their careers, the easiness of alumni for getting a job, a large number of individuals in surroundings who are working as a data analysts and representative library. The findings also reveals that all the selected indicators are significant so that no indicators need to be excluded. Evaluation of the model shows that the specified model fits the analyzed data. This is indicated by the Comparative Fit Index (CFI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR) values ​​which reach good fit criteria.

Cross-Cultural Adaptation and Psychometric Validation of the Interview Satisfaction Questionnaire (ISQ) to Assess Unmet Health Communication Needs of Iranian Breast Cancer Patients

ABSTRACT Autonomous and patient-centered health communication (PCHC) between a healthcare provider (HCP) and a client (HCC) is a critical fundament for successful healthcare outcomes. A standard and validated data collection tool for studying the satisfaction of Iranian breast cancer patients (BCPs) with various aspects of their health communication with HCPs does not exist. The current study assessed the application, feasibility, and cultural appropriateness of the Persian-translated version of the interview satisfaction questionnaire (ISQ) in the Iranian context. A standard translation/back-translation procedure was used to prepare a preliminary Persian version of the ISQ (ISQ-P) which was then evaluated for content and face validity by a panel of experts. The study data were collected from 200 breast cancer patients and used to estimate the internal consistency measure of Cronbach’s alpha and intra-class correlation coefficient. Confirmatory factor analysis (CFA) was performed to verify the compatibility of the instrument’s identified dimensions with the original ISQ’s factor structure. The calculated content validity index (CVI = 0.89), content validity ratio (CVR = 0.49), and Cronbach’s alpha coefficient (0.79) indicated the appropriateness of the ISQ-P for its intended purpose. The CFA’s outputs (root mean square error of approximation (RMSEA) = 0.09, comparative fit index (CFI) = 0.954, Tucker-Lewis index (TLI) = 0.931, standardized root mean square residual (SRMR) = 0.04) affirmed the fitness of the study data to the original 4-factor conceptual model. The study findings supported the suitability of ISQ-P for assessing health communication episodes by Persian-speaking BCPs. However, due to cultural variation, cross-border diversity of health systems, and organizational circumstances, further validity and reliability appraisal of the ISQ-P in distinct sub-samples is recommended.

Validity and Reliability of the Malay Questionnaire for Olfactory Disorders.

Olfactory disorders (OD) are an umbrella term for a diverse group of smell problems. Numerous tests and questionnaires have been formulated to identify and test the severity of smell impairment, which is not readily available or translated for the Malaysian population. This study aimed to translate the Questionnaire for Olfactory Disorders (QOD) and validate and test the reliability of the Malay Questionnaire for Olfactory Disorders (mQOD). This cross-sectional study was conducted in two tertiary centres. A forward and backward translation was conducted for the QOD. The translated questionnaire was distributed to subjects with self-reported smell disorders on days 1 and 7. Internal consistency was analysed using Cronbach's alpha and test-retest reliability was tested with an intraclass correlation coefficient. Confirmatory factor analysis was performed to test construct validity. A total of 375 participants were recruited, 52 dropped out and 323 completed the questionnaire a second time. The Cronbach's alpha coefficient was 0.537 for parosmia (P), 0.892 for life quality (LQ), 0.637 for sincerity (S) and 0.865 for visual analogue score (VAS). The intraclass correlation coefficient (ICC) for domain scores was > 0.9, while the ICC for all items was good to excellent. A three-factor model for mQOD showed an acceptable fit with indices chi-square value (CMIN)/degree of freedom (DF) = 3.332, Tucker-Lewis fit index (TLI) = 0.923, comparative fit index (CFI) = 0.939, root mean square error of approximation (RMSEA) = 0.079 and standardised root mean square residual (SRMR) = 0.0574. The mQOD is a valid and reliable tool for assessing OD in patients.

A confirmatory factor analysis of the Iranian version of the interpersonal communication skills scale among healthcare professionals

BackgroundIdentifying healthcare professionals’ (HCPs) communication skills is crucial to improving patient outcomes. Iranian HCPs’ interpersonal communication skills (ICS) were validated using a culturally appropriate and indigenous scale.Materials and methodsIn November and December 2021, convenience sampling was used to collect data from 170 HCPs. Seven factors were covered by the questionnaire, which consisted of 30 items. In order to validate the scale, first- and second-order confirmatory factor analyses (CFA) were performed. Various indices were used during the CFA, including Goodness of Fit Index (GFI), Adjusted Goodness of Fit (AGFI), Comparative Fit Index (CFI), Normed Fit Index (NFI), Standardized Root Mean Square Residual (SRMR), and Root Mean Square Error of Approximation (RMSEA). The Fornell-Larcker Criterion was used to assess discriminant validity. We analyzed the data in Lisrel 8.8 and SmartPLS 3.2.8.ResultsAccording to the Q2-index obtained from the blindfold test, the model had 44% predictive power. First-order CFA results showed acceptable indices (χ2 = 767.17; DF = 375; CFI = 0.98; GFI = 0.82; AGFI = 0.80; NFI = 0.97; SRMR = 0.22; RMSEA = 0.068). Furthermore, the second-order measurement model demonstrated adequate and desirable fit indices (χ2 = 797.24; DF = 381; CFI = 0.98; GFI = 0.82; AGFI = 0.78; NFI = 0.97; SRMR = 0.059; RMSEA = 0.068). General and listening skills were ranked highest in the importance-performance map analysis (IPMA).ConclusionHCPs could benefit from this scale as it can assist them in developing ICS. It is recommended that skills training programs be replicated among different populations to evaluate their effectiveness.

Development and validation of a theory-based questionnaire examining barriers and facilitators to discontinuing long-term benzodiazepine receptor agonist use

BackgroundLong-term use of benzodiazepine receptor agonists (BZRAs) is a persistent healthcare challenge and poses patient safety risks. Interventions underpinned by behaviour change theory are needed to support discontinuation of long-term BZRA use. The aim of this study was to develop and validate a questionnaire based on the Theoretical Domains Framework (TDF) to examine mediators of behaviour change relating to the discontinuation of long-term BZRA use. MethodsAn initial 52 item questionnaire was developed using the 14 domains of TDF version 2 and iteratively refined over two rounds. The questionnaire was disseminated online via online support groups that focused on BZRAs to community-based adults with either current or previous experience of taking BZRAs on a long-term basis (≥3 months). Confirmatory factor analysis was undertaken to assess the questionnaire's reliability, discriminant validity and goodness of fit. The Standardized Root Mean Square Residual (SRMR), Root Mean Square Error of Approximation (RMSEA) and Comparative Fit Index (CFI) were calculated. ResultsFollowing an iterative process of adjustment, the results obtained from confirmatory factor analysis resulted in the final questionnaire consisting of 29 items across nine theoretical domains. The internal consistency reliability values across these domains ranged from 0.62 to 0.85. For the final model, the SRMR was 0.23, the RMSEA was 0.11 and the CFI was 0.6. ConclusionsThe questionnaire offers a potential tool that could be used to identify domains that need to be targeted as part of a behaviour change intervention at an individual patient level. Further research is needed to assess the questionnaire's acceptability and usability, and to develop a scoring system so that domains can be prioritised and subsequently targeted as part of an intervention.