Results Of Confirmatory Factor Analysis Research Articles

Validation of the Perceived Community Support Questionnaire (PCSQ) for Older Chinese.

Community support has a profound positive impact on older people's health and plays a crucial role in facilitating aging in place. This impact is particularly significant in the Chinese context, where community support can alleviate the pressure on traditional family caregiving. This study translated, adapted, and validated the perceived community support questionnaire (PCSQ) for use with older Chinese. Data for this validation study were collected from a cross-sectional survey of 1,064 Chinese aged 65 years and above. Following the cultural adaptation of the PCSQ-14, confirmatory factor analysis (CFA) was conducted to examine its factor structure. Criterion validity, convergent and discriminant validity, internal consistency reliability, and test-retest reliability of the scale were also assessed. Based on the CFA results, the adapted PCSQ-14 was found to have a three-factor solution for community integration, community participation, and community organizations. The criterion-related validity was supported by its significant correlation with depression. Convergent and discriminant validity were established, with the internal consistency of the scale being 0.90. The test-retest reliability intraclass correlation coefficient for the scale was 0.78. The adapted version of the PCSQ-14 demonstrated promising psychometric properties in assessing perceived community support in older Chinese. The adapted PCSQ-14 could assist researchers in determining older Chinese adults' perceptions of community support, and could also assist practitioners and policymakers in developing targeted interventions for older people and allocating resources more effectively.

Measurement of Allostatic Load in Caregivers of Older Hispanic People With Alzheimer Disease and Related Disorders.

Allostatic load (AL) has been studied in the context of biomarkers that may be affected by environmental and contextual stressors, including social determinants of health. The specific stressor studied here is the provision of caregiving to older persons with Alzheimer disease and related disorders. The aims were to examine the factor structure of stress and nonstress biomarkers, different methods for calculating AL, and the relationship of AL with other variables. Latent variable models were used to examine biomarkers. Regression analyses were performed with the outcomes: AL calculated as percentile-based and clinically-based for both stress and nonstress components. The sample was 187 Hispanic caregivers to individuals with dementia. The results of the confirmatory factor analyses (CFAs) suggested defining 2 factors: nonstress and stress-related. Performance was better for the CFA results and the associations with covariates when stress and nonstress components were examined separately. Despite some limitations, this is one of the first studies of biomarkers in Hispanic caregivers to patients with dementia. It was possible to explain almost 30% of the variance in the nonstress AL component. It may be important to differentiate among biomarkers indicative of cardiovascular, metabolic, and immune response as contrasted with the more stress-related biomarkers.

Reliability and validity of the Chinese version of the mobile Agnew Relationship Measure (mARM-C)

ObjectThis research aims to test the reliability and validity of the Chinese version of the mobile Agnew Relationship Measure (mARM-C). Methods574 college students who had recently used meditation applications were included. 102 of them were chosen for retesting two weeks later. Standards for evaluation included the Digital Working Alliance Inventory (DWAI), Trust of Counseling Scale (TCS), and Client Satisfaction Questionnaire-8 (CSQ-8). The formal questionnaire was created after further modifications based on item analysis and exploratory factor analysis (EFA). ResultsConfirmatory factor analysis (CFA) revealed that the five-component model fit the data well. The mARM-C has intense item discrimination, and each item is substantially and positively linked with the total score of each dimension and the total score of the measure. The mARM-C had fair to excellent internal consistency, split-half, and test–retest reliability. The convergent and criterion-related validity was acceptable. ConclusionIn conclusion, the results of this study indicate that the Chinese version of the mARM-C has good validity and reliability. It is an effective self-report measure of the DTA.

Psychometric properties of the Chinese version of the Quick Delay Questionnaire (C-QDQ) and ecological characteristics of reward-delay impulsivity of adults with ADHD

BackgroundThe Quick Delay Questionnaire (QDQ) is a short questionnaire designed to assess delay-related difficulties in adults. This study aimed to examine the reliability and validity of the Chinese version of the QDQ (C-QDQ) in Chinese adults, and explore the ecological characteristics of delay-related impulsivity in Chinese adults with attention-deficit/hyperactivity disorder (ADHD).MethodsData was collected from 302 adults, including ADHD (n = 209) and healthy controls (HCs) (n = 93). All participants completed the C-QDQ. The convergent validity, internal consistency, retest reliability and confirmatory factor analysis (CFA) of the C-QDQ were analyzed. The correlations between C-QDQ and two laboratory measures of delay-related difficulties and Barratt Impulsiveness Scale-11 (BIS-11), the comparison of C-QDQ scores between ADHD subgroups and HCs were also analyzed.ResultsThe Cronbach’s α of C-QDQ was between 0.83 and 0.89. The intraclass correlation coefficient of C-QDQ was between 0.80 and 0.83. The results of CFA of C-QDQ favoured the original two-factor model (delay aversion and delay discounting). Significant positive associations were found between C-QDQ scores and BIS-11 total score and performance on the laboratory measure of delay-related difficulties. Participants with ADHD had higher C-QDQ scores than HCs, and female ADHD reported higher scores on delay discounting subscale than male. ADHD-combined type (ADHD-C) reported higher scores on delay aversion subscale than ADHD-inattention type (ADHD-I).ConclusionThe C-QDQ is a valid and reliable tool to measure delay-related responses that appears to have clinical utility. It can present the delay-related impulsivity of patients with ADHD. Compared to HCs, the level of reward-delay impulsivity was higher in ADHD.

The Emotion Beliefs Questionnaire: Psychometric properties, norms, and links to affective outcomes

BackgroundThe Emotion Beliefs Questionnaire was recently developed to measure beliefs about the controllability and usefulness of negative and positive emotions. These are beliefs that have been theorised to be influential for emotion regulation and psychological outcomes. However, to date there are few studies utilising large, representative samples to examine the EBQ's psychometric properties and affective correlates. Our aim was to fill this gap by examining the EBQ's psychometric properties and exploring associations between emotion beliefs, emotion regulation, and affective disorder symptoms. MethodsA sample of 1175 adults recruited from the general population in the United States completed measures of emotion beliefs, emotion regulation, and affective disorder symptoms. ResultsConfirmatory factor analyses supported the EBQ's intended subscale structure, where controllability and usefulness beliefs were separated by valence. This structure was invariant across gender, age, and education categories. The EBQ correlated in expected ways with other measures, demonstrating good validity, and had good to excellent levels of internal consistency reliability. LimitationsThis study used a non-clinical sample that was predominantly White. Future work should utilise clinical and cross-cultural samples to maximise generalisability of findings. ConclusionsOur findings indicate that the EBQ is a psychometrically sound tool for measuring the multidimensional emotion belief construct. The EBQ may have clinical utility in the conceptualisation, assessment, and treatment of maladaptive emotion beliefs. Furthermore, our results highlight the importance of considering the potential influence of maladaptive emotion beliefs in emotion dysregulation and affective disorder symptoms.

The short version of the Sexual Distress Scale (SDS-3): Measurement invariance across countries, gender identities, and sexual orientations

BackgroundThe three-item Sexual Distress Scale (SDS-3) has been frequently used to assess distress related to sexuality in public health surveys and research on sexual wellbeing. However, its psychometric properties and measurement invariance across cultural, gender and sexual subgroups have not yet been examined. This multinational study aimed to validate the SDS-3 and test its psychometric properties, including measurement invariance across language, country, gender identity, and sexual orientation groups. MethodsWe used global survey data from 82,243 individuals (Mean age=32.39 years; 40.3 % men, 57.0 % women, 2.8 % non-binary, and 0.6 % other genders) participating in the International Sexual Survey (ISS; https://internationalsexsurvey.org/) across 42 countries and 26 languages. Participants completed the SDS-3, as well as questions regarding sociodemographic characteristics, including gender identity and sexual orientation. ResultsConfirmatory factor analysis (CFA) supported a unidimensional factor structure for the SDS-3, and multi-group CFA (MGCFA) suggested that this factor structure was invariant across countries, languages, gender identities, and sexual orientations. Cronbach's α for the unidimensional score was 0.83 (range between 0.76 and 0.89), and McDonald's ω was 0.84 (range between 0.76 and 0.90). Participants who did not experience sexual problems had significantly lower SDS-3 total scores (M = 2.99; SD=2.54) compared to those who reported sexual problems (M = 5.60; SD=3.00), with a large effect size (Cohen's d = 1.01 [95 % CI=-1.03, -0.98]; p < 0.001). ConclusionThe SDS-3 has a unidimensional factor structure and appears to be valid and reliable for measuring sexual distress among individuals from different countries, gender identities, and sexual orientations.

Affective and Attitudinal Features of Benevolent Heterosexism in Italy: The Italian Validation of the Multidimensional Heterosexism Inventory

Abstract Introduction People who belong to a sexual and gender minority often face prejudices that have their roots in heterosexism, a sociocultural system that can manifest itself in different ways and sometimes in a seemingly benevolent fashion. The present study examined the psychometric properties of the Multidimensional Heterosexism Inventory (MHI), a scale assessing aversive, amnestic, paternalistic, and positive stereotypic heterosexism, in an Italian sample. Methods Two hundred one cisgender and heterosexual individuals (129 women and 72 men) aged 18 to 81 years (M = 36.42, SD = 12.56) were recruited online between May and October 2022 and answered questions about social dominance orientation, right-wing authoritarianism, ambivalent sexism, and attitudes toward lesbians and gay men. Results Confirmatory factor analysis showed that the original 4-factor model of the scale fit the data well. Predictive and convergent validity of the Italian version of the MHI was adequate, whereas discriminant validity was not fully achieved due to overlap of multidimensional heterosexism with hostile and benevolent sexism and authoritarianism. Scores were higher for aversive and amnesic heterosexism in men than in women, but not for paternalistic and positive stereotypic heterosexism. Finally, less educated participants, those with no LGBTQI + friends, and religious participants were higher in all MHI subscales than their counterparts. Conclusions This study provides the first evidence for the validity and reliability of an Italian version of the MHI. Policy Implications Using the MHI can help to make visible not only the explicit but also the subtle forms of heterosexism, thus recognizing the multidimensional nature of heterosexism produced in social institutions.

Individual Earthquake Resilience Scale: Psychometric Properties of the Turkish Version

IntroductionThe Individual Earthquake Resilience Scale was developed with the aim of measuring individual resilience in the context of earthquake disasters. The purpose of this study was to adapt the Individual Earthquake Resilience Scale into Turkish and examine its psychometric properties. MethodsA total of 419 adult individuals (65.2% females, median age = 43.35) participated in the study. The psychometric properties of the scale were examined in terms of content validity, face validity, construct validity, criterion-related validity, and reliability. Translation and back-translation processes were conducted. ResultsConfirmatory factor analyses revealed that the scale has a 4-factor structure. In terms of criterion-related validity, a positive relationship was found between Individual Earthquake Resilience and the Short Psychological Resilience Scale. The reliability of the scale was assessed using Cronbach’s alpha coefficient. The total scale had a Cronbach’s alpha score of 0.892. The Individual Earthquake Resilience Questionnaire subscales had Cronbach’s alpha scores of 0.620, 0.817, 0.776, and 0.692, respectively. DiscussionThe study confirmed that the 4-factor structure of the Individual Earthquake Resilience Scale met the required standards for validity and reliability at an acceptable level. This validates its use in assessing individual resilience within the context of earthquakes in a Turkish-speaking population.

Validity and reliability of the sleep health index among patients with spinal degenerative diseases

ObjectiveTo test the validity and reliability of the Sleep Health Index (SHI) in a Chinese clinical sample, and thereby provide more evidence for the assessment of sleep health in future research and clinical practice. MethodsThis study used a cross-sectional design. A convenient sample of 265 participants with spinal degenerative diseases was recruited from outpatient clinics. The SHI, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Patient Health Questionnaire-9 (PHQ-9), Visual Analogue Scale (VAS), and EuroQoL 5-Dimension 5-Level (EQ-5D-5L) were administered via REDCap. Structural, concurrent, convergent, known-group validity, internal consistency, and test-retest reliability were evaluated. ResultsConfirmatory factor analysis confirmed a 3-factor structure (sleep duration, sleep quality, and disordered sleep). The overall SHI score had a high correlation with PSQI and ISI (r = -0.62 and -0.70, respectively) as well as a moderate correlation with PHQ-9 (r = -0.50, p<0.001). The overall SHI was significantly associated with VAS, ESS, and EQ-5D-5L (r = -0.15 to -0.23, p<0.05). Participants with pain had a lower score on the sleep quality sub-index than those without (p<0.001). Those with chronic diseases had a significantly lower score on the sleep duration sub-index than those without (p<0.05). Those with depression, poor sleep quality, and insomnia had lower scores on the overall scale and the three sub-indices than those without (p<0.05). The overall SHI showed acceptable internal consistency (Cronbach's α = 0.74) and test-retest reliability (intraclass correlation coefficient = 0.73). ConclusionsThe Chinese version of SHI showed good validity and acceptable reliability and could be used to assess sleep health among clinical populations.

Building Child-Friendly Cities for Sustainable Child Development: Child-Friendly City Scale-Child Form

Designing child-friendly cities is very important for sustainable human development. Child-friendly cities encourage children to grow up in a healthy, safe, and supportive environment. The concept of the “Child-Friendly City” emerged in 1996 at the United Nations Habitat II Conference in Istanbul. This movement promoted supporting children’s development, assuring compliance with their basic rights, and pursuing their subjective well-being through the qualities of the environments of cities. Developing measurement tools to determine the effects of the qualities of the city and its environment on children and what is expected from “Child-Friendly Cities” is crucial. The first aim of this study was to utilize exploratory factor analysis (EFA) to develop the Child-Friendly City Scale-Child Form and provisionally examine its factor structure during this process. The second aim was to examine the factor structure of the developed scale through confirmatory factor analysis (CFA). Participants were 527 middle school students who were divided into two groups for CFA and DFA, 204 in the first group and 323 in the second group. The results of both EFA and CFA supported the developed scale, which has eight dimensions. The Child-Friendly City Scale-Child Form was found to be valid and reliable through various tests. This study contributes to the literature by providing an empirically tested 8-dimension tool to measure children’s perceptions of the child-friendliness of their cities.

A practical tool for managing change: cross-sectional psychometric assessment of the safe surgery organizational readiness tool.

Strengthening health systems through planned safety and quality improvement initiatives is an imperative to achieve more equitable, resilient, and effective care. And yet, years of organizational behavior research demonstrate that change initiatives often fall short because managers fail to account for organizational readiness for change. This finding remains true especially among surgical safety and quality improvement initiatives in low-income countries and middle-income countries. In this study, our aim was to psychometrically assess the construct validity and internal consistency of the Safe Surgery Organizational Readiness Tool (SSORT), a short survey tool designed to provide change leaders with insight into facility infrastructure that supports learning and readiness to undertake change. To demonstrate generalizability and achieve a large sample size ( n =1706) to conduct exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), a collaboration between seven surgical and anesthesia safety and quality improvement initiatives was formed. Collected survey data from health care workers were divided into pilot, exploration, and confirmation samples. The pilot sample was used to assess feasibility. The exploration sample was used to conduct EFA, while the confirmation sample was used to conduct CFA. Factor internal consistency was assessed using Cronbach's alpha coefficient. Results of the EFA retained 9 of the 16 proposed factors associated with readiness to change. CFA results of the identified 9 factor model, measured by 28 survey items, demonstrated excellent fit to data. These factors (appropriateness, resistance to change, team efficacy, team learning orientation, team valence, communication about change, learning environment, vision for sustainability, and facility capacity) were also found to be internally consistent. Our findings suggest that communication, team learning, and supportive environment are components of change readiness that can be reliably measured prior to implementation of projects that promote surgical safety and quality improvement in low-income countries and middle-income countries. Future research can link performance on identified factors to outcomes that matter most to patients.

Engaging leadership and nurse well-being: the role of the work environment and work motivation—a cross-sectional study

BackgroundHealthcare literature suggests that leadership behavior has a profound impact on nurse work-related well-being. Yet, more research is needed to better conceptualize, measure, and analyse the concepts of leadership and well-being, and to understand the psychological mechanisms underlying this association. Combining Self-Determination and Job Demands-Resources theory, this study aims to investigate the association between engaging leadership and burnout and work engagement among nurses by focusing on two explanatory mechanisms: perceived job characteristics (job demands and resources) and intrinsic motivation.MethodsA cross-sectional survey of 1117 direct care nurses (response rate = 25%) from 13 general acute care hospitals in Belgium. Validated instruments were used to measure nurses’ perceptions of engaging leadership, burnout, work engagement, intrinsic motivation and job demands and job resources. Structural equation modeling was performed to test the hypothesised model which assumed a serial mediation of job characteristics and intrinsic motivation in the relationship of engaging leadership with nurse work-related well-being.ResultsConfirmatory factor analysis indicated a good fit of the measurement model. The findings offer support for the hypothesized model, indicating that engaging leadership is linked to enhanced well-being, as reflected in increased work engagement, and reduced burnout. The results further showed that this association is mediated by nurses’ perceptions of job resources and intrinsic motivation. Notably, while job demands mediated the relationship between EL and nurses’ well-being, the relationship became unsignificant when including intrinsic motivation as second mediator.ConclusionsEngaging leaders foster a favourable work environment for nursing staff which is not only beneficial for their work motivation but also for their work-related well-being. Engaging leadership and job resources are modifiable aspects of healthcare organisations. Interventions aimed at developing engaging leadership behaviours among nursing leaders and building job resources will help healthcare organisations to create favourable working conditions for their nurses.Trial Registration: The study described herein is funded under the European Union’s Horizon 2020 Research and Innovation programme from 2020 to 2023 (Grant Agreement 848031). The protocol of Magnet4Europe is registered in the ISRCTN registry (ISRCTN10196901).

Psychometric Properties of the Mindfulness in Teaching Scale in a Sample of Portuguese Teachers

ObjectivesIn recent years, there has been an increasing interest in scientific research examining the impact of mindfulness on teacher well-being and its implications for education. Thus, it is vital to have psychometrically robust measures suitable for educational settings. The current study aimed to validate a Portuguese version of the Mindfulness in Teaching Scale (MTS-PT).MethodThe MTS-PT was administered to a sample of teachers (n = 863), along with self-report measures and indicators of teacher well-being: job satisfaction, positive and negative affect, loneliness and positive solitude, self-compassion, and dispositional mindfulness. We examined the MTS-PT factorial validity, the reliability of its facets, convergent and divergent validity, factorial invariance, and assessed mean differences of its scores across teachers’ sociodemographic characteristics.ResultsConfirmatory Factor Analysis supported the original 2-related-factor structure of the MTS distinguishing Teacher Intrapersonal Mindfulness and Teacher Interpersonal Mindfulness. This model was invariant across sex, teaching years and educational levels taught by the participating teachers. Inferential tests revealed that more experienced teachers reported higher levels of intrapersonal mindfulness while elementary school teachers reported higher levels of interpersonal mindfulness. Reliability values were adequate to good in both dimensions. The MTS-PT subscales correlated positively with teacher well-being indicators, and inversely with negative affect and loneliness.ConclusionsOverall, findings support the psychometric adequacy of the MTS-PT, suggesting that it is a reliable and valid self-report measure of teachers’ mindfulness. This instrument can bring relevant insights about teachers’ mindfulness facets and provide useful indications for the development and assessment of mindfulness-based interventions for teachers.

The Chinese Version of the Compensatory ADHD Behaviors Scale (CABS): A Study on Reliability, Validity, and Clinical Utility.

With the further development of attention-deficit/hyperactivity disorder (ADHD) research, more and more assessment tools related to ADHD have been used. However, there is still no measurement instrument to evaluate the compensatory behavior of ADHD in China. This study aimed to examine the reliability and validity of the Compensatory ADHD Behaviors Scale (CABS) adapted in Chinese and explore ecological characteristics in adults with ADHD using the CABS. Data were collected from a sample of 306 adults (Mage = 26.43 years, SD = 5.32; 46.08% male). The original version CABS was translated into Chinese using the forward and backward translation procedures. Participants completed the CABS and questionnaires assessing ADHD symptoms and executive function. We utilized content validity, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and criterion validity to test the validity. Internal consistency and test-retest reliability were employed to test the reliability. Analysis of variance (ANOVA) was employed to compare ADHD subgroups based on gender, ADHD subtype, comorbidities, and medication status, while controlling for demographic variables as covariates. CABS exhibited good construct validity (two factors: present-oriented and future-oriented), content validity (content validity index: 0.98), internal consistency reliability (Cronbach's alpha coefficient: 0.85 to 0.87) and test-retest reliability (intraclass correlation coefficient: 0.59 to 0.88). The results of CFA showed acceptable fitness for each subscale. CABS demonstrated significant associations with inattention symptoms and plan/organizational abilities. Medicated ADHD individuals scored higher on future-oriented effectiveness subscale of CABS than non-medicated (F = 6.106, p = 0.014). The results indicate that the Chinese CABS exhibited good validity and reliability. It can be considered a valid tool for assessing compensatory behaviors in Chinese adults with ADHD. Further research is needed to explore the connection between medication and compensatory behavior.

Validation of the Indonesian version of the Recovery Experience Questionnaire.

This study aimed to validate the Indonesian version of the Recovery Experience Questionnaire (REQ-I) to assess how individuals unwind and recuperate from work during their off-job times, specifically in terms of psychological detachment, relaxation, mastery, and control. The translated and back-translated REQ, which has gone through semantic and face validation processes, was administered through an internet survey using 740 Indonesian workers from various backgrounds. Furthermore, confirmatory Factor Analysis (CFA) was conducted to evaluate factorial validity. Construct validity was evaluated based on the correlation coefficients between recovery experience and potential consequences variables, while internal consistency and test-retest reliability were investigated to evaluate the reliability. The result of CFA showed that the hypothesized four-factor model was the most suitable for the data. Meanwhile, construct validity was supported by expected correlations of recovery experiences with possible consequences. Cronbach's α coefficient for each of the four subscales was sufficient at 0.85-0.92. Test-retest reliability of each of the four subscales with three months intervals was confirmed with sufficient intraclass correlation coefficients at 0.60-0.66. This current study confirmed that REQ-I was an adequate measure of recovery experiences used in the Indonesian context.

Artificial Intelligence, AI literacy, Digital literacy, AI literacy scale

The purpose of this research is to adapt the Artificial Intelligence Literacy Scale (AILS) developed by Wang et al. (2022) into Turkish and study its validity and reliability. The scale aims to measure the artificial intelligence literacy levels of non-expert adults. The research data were gathered from 402 participants, and the researchers did Confirmatory Factor Analysis (CFA) to test the validity of the adapted scale, and to test the reliability, they adopted Cronbach’s alpha technique. The adapted scale consists of 12 items and 4 factors, as is the case in the original version. CFA results indicate that X^2/df =1.82, RMSEA = 0.04, RMR = 0.03, NFI = 0.95, CFI = 0.98, GFI = 0.96 and AGFI = 0.94. Considering CFA results, it is concluded that the adapted scale is a good fit. As for reliability, as far as the factors are concerned, the internal consistency results are 0.72, 0.74, 0.76, and 0.72, respectively. Additionally, α=0.85 for the whole scale. Consideringly, the scale and its factors are adequately reliable, and the adapted scale can be used in Turkish culture.

Additive manufacturing best practices and its impact on supply chain performance through structural equation modelling: A case study in Ethiopian footwear industry

The aim of this study is to analyze the effects of additive manufacturing (AM) best practices on supply chain (SC) performance. The study developed conceptual framework with four AM best practice as independent variables and five SC performance measuring factors as dependent variables. To test the developed model and hypothesis, data’s has been collected from 129 respondents from 29 footwear industries in Ethiopia. AMOS v.23 is used to test model fit with confirmatory factor analysis (CFA) (χ2/df, RMSEA, CFI, GFI, RMR, Tucker-Lewis index (TLI)). Reliability analysis was carried out to test the reliability and stability of the research questionnaires. Correlation analysis was performed to test the strength and association between dependent and independent variables. And to test the developed hypothesis structural equation modelling (SEM) or paths analysis was used. The findings of the CFA result indicated that data fit the model reasonably well. The finds of correlation analysis indicated that, AM best practices have positive, strong and significant relationship with cost, time and reliability related factors of SC performance. But it has very weak and insignificant relationship with customer related factors. In addition, the findings revelled that AM best practices have negative and insignificant relationship with supplier related factors. On the other hands, the findings of SEM confirmed that the identified four AM best practices positively and significantly improve SC performance. And this study concludes that manufacturing flexibility, material utilization, environmental control and product design optimization of AM plays a vital role in improving SC performance.

Factor Analyses and Age Effects in the CCAB At‐Home Computerized Cognitive Test Battery

AbstractBackgroundThe California Cognitive Assessment Battery (CCAB; ccabstudy.com) is a remotely monitored, at‐home, computerized behavioral test and questionnaire suite. Here we evaluate the interpretation of 25 tests within the US English version of the CCAB using both an exploratory factor analysis (EFA) of 155 healthy adults and a confirmatory factor analysis (CFA) of 312 healthy older adults participating in a longitudinal study. We also estimated cross‐sectional age gradients for best fitting latent factors [1].MethodFirst, one set of “classic” latent factors (from 1 factor to 8 factors) was extracted from the literature [2][3][4] for assignment of CCAB tests into traditional categories. Second, 155 adult participants (age 22‐86 y.o., mn 54, 57% male, education 8‐20 yrs., md 14) participated in a prefinal version of the CCAB. EFA was performed on their primary CCAB results using the ‘psych’ (v. 1.9.12.31‐1) toolbox in R (v. 3.6.3) with 11 different rotations to extract a second set of CFA latent factors. Third, above two sets of latent factors were used in the ‘lavaan’ CFA toolbox (v. 0.6.5‐1) in R and applied to the first timepoint (enrollment and session 1) of CCAB longitudinal data from an older adult group (age 56‐89 y.o., mn 71, 58% male, education 0‐20 yrs., mn 14).ResultThe EFA and CFA model fit characteristics (Fig 1) show moderately good fits for the EFA and best fitting CFA models. The EFA produced reasonable models from 2 factors to 6 factors. The best fitting “classic” CFA along with its latent factor age regressions is shown in Figure 2. The best fitting EFA‐derived CFA along with its latent factor age regressions is shown in Figure 3.ConclusionThe best‐fit classic CFA results showed moderately good fit, and visual tests of both speed and memory showed steeper cross‐sectional age gradients than did respective verbal response tests. The EFA‐derived latent factors were better fitting than were the classic factors as they were derived from the CCAB itself. In both cases, however, CCAB test speed measures showed steeper cross‐sectional age gradients than did memory measures. Ongoing work will characterize longitudinal latent factor age gradients.

Predicting M-Payment Adoption Intention in Indonesia: Integrating Technology Acceptance Model and Psychological Factors

The government is currently promoting the growth of m-payment usage in Indonesia. Therefore, research is needed to identify the factors influencing the adoption intention of m-payment. One theory frequently employed to elucidate the usage intention of m-payment is the Technology Acceptance Model (TAM). According to this theory, intention arises from perceived usefulness and perceived ease of use. This study integrates TAM with psychological variables, namely, trust and subjective norms. This research aims to examine the factors influencing the adoption intention of m-payment. Before conducting the model test, this research begins with adapting and validating all measurement tools in the Indonesian language. Participants in this study are individuals aged 17 and above who own smartphones. The entire data collection is done online. The research instrument is validated with confirmatory factor analysis (CFA) on perceived usefulness, perceived ease of use, trust, subjective norm, and the adoption intention of m-payment (N=209). The model test is conducted through path analysis (N=210). The validation process confirms the theoretical model of the five instruments in the Indonesian version. The CFA results indicate that all five research instruments meet the cut-off criteria for fit indices RMSEA, CFI, TLI, and SRMR. The path analysis results reveal that perceived usefulness, perceived ease of use, and subjective norm influence the adoption intention of m-payment. In contrast, trust does not affect the adoption intention of m-payment. This research contributes both theoretically and practically, particularly regarding the factors influencing m-payment adoption.

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.