Underlying Factor Structure Research Articles

The factor structure of the Centre for Epidemiological Studies Depression Scale (CESD-R-20) among South African antiretroviral therapy users

Depression is a significant concern for people living with HIV and AIDS as it is associated with negative health outcomes and suboptimal adherence to antiretroviral therapy (ART). To this extent, screening for depression is essential for early detection. The CESD-R-20 is a revised four-factor questionnaire developed to assess depressive symptoms in adults. This study explored the factor structure and psychometric properties of the CESD-R-20 among 685 individuals receiving ART. Data were collected at the Infectious Diseases Clinic of a large public hospital outside Cape Town from participants who had been receiving ART for at least six months. Exploratory factor analysis (EFA) of the CESD-R-20 was performed to identify its underlying factor structure. The EFA revealed a one-factor solution termed “depressive affect,” comprising 19 items that encompassed the original factors. This finding suggests that depression is a cohesive construct rather than a collection of interconnected dimensions. The scale exhibited high internal consistency (Cronbach’s alpha = 0.95) among the sample of persons living with HIV and AIDS. Our findings indicate that the CESD-R-20 can effectively measure depressive affect as a one-factor scale in South Africans receiving ART. The scale demonstrated strong internal consistency and is suitable for screening for depressive symptoms among persons living with HIV and AIDS.

An Examination of Underlying Domains in Childhood Adversity: A Scoping Review of Studies Conducting Factor Analyses on Adverse Childhood Experiences

There is an abundance of research linking experiences of childhood adversity to negative physical and mental health outcomes. Areas that remain to be explored and expanded upon include the ideal set of events for inclusion in measures of childhood adversity and testing the models of risk (e.g., cumulative, specificity, dimensional). In the current paper, we performed a scoping review to develop a comprehensive list of studies that conducted factor analyses of childhood adversity measures. There were 89 articles that met the inclusion criteria; trends in the underlying factor structures are reported. Highly associated yet distinct constructs of adversity have demonstrated empirical utility in predicting outcomes in dozens of studies, with consensus that physical abuse, emotional abuse, sexual abuse, physical and emotional neglect, and household dysfunction offer important predictive value to understanding developmental mechanisms of change. We endorse revisions to one commonly used scale that could offer researchers a consistent and psychometrically robust measure of adversity.

Sensory-processing sensitivity, parenting styles, and adult attachment patterns in parents of young children

ABSTRACT Background Increased sensitivity to internal and external stimuli, known as sensory-processing sensitivity (SPS), has been linked to attachment insecurity and less optimal parenting styles in parents of children aged 4–13 years. Associations between these parenting factors in parents of children aged 3 years and younger have not yet been investigated. Understanding the relationships between these factors will facilitate the development of strategies to better support highly sensitive parents. Methods A sample of 153 parents of children aged 3 years and younger completed an online survey comprising standardised measures of SPS, attachment, and infant parenting styles. The underlying factor structure of the Infancy Parenting Styles Questionnaire was investigated. Results Factor analysis identified 33 items loading onto five factors: Discipline, Routine, Anxiety, Nurturance, and Involvement, with moderate to high reliability. SPS was positively correlated with parenting anxiety, attachment anxiety, and attachment avoidance, but did not predict parenting style. Younger parent age was associate with more insecure attachment styles. Multivariate regression analyses revealed that variability in parenting anxiety was predicted only by attachment anxiety and having fewer children. Conclusion While SPS was not seen to predict parenting anxiety, relationships between SPS, parenting anxiety, and insecure attachment suggest that strategies tailored to SPS would support highly sensitive parents to care for their children and promote improved parent–child relationships. These strategies may therefore be a beneficial addition to attachment-based parenting programs. Further studies using the Toddler Parenting Styles Questionnaire (TPSQ) are needed to identify optimal parenting styles for parents of infants and toddlers.

The Role of Human Values in the Relationship Between Industry 4.0 and Job Insecurity in an Emerging Economy

ABSTRACTThis study analyses the relationship between Industry 4.0, human values and job insecurity in Colombia against significant technological changes and global economic challenges. It aims to understand how human values mediate the relationship between Industry 4.0's technological advances and the perception of job security in the current era of economic and social uncertainty. Utilising a Likert scale, the study gathered 714 survey responses from employees in medium and large Colombian companies. The study used a multistage multivariate analysis approach, starting with unidimensionality analysis, followed by reliability and validity analysis to measure accuracy. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were subsequently employed to test the underlying factor structures of the data. Finally, structural equation modelling integrated the findings, forming a model that sheds light on the relationships among the studied variables. The analysis revealed strong human values such as commitment, collaboration, tolerance, honesty and loyalty in the workplace. Interestingly, participants had a low perception of job insecurity, indicating a more complex relationship between technological advancements and job security perceptions. This study offers valuable insights into how human values shape the workforce's response to the rapid changes of Industry 4.0, particularly in an emerging economy like Colombia.

Testing, revision and application of the social anxiety scale for Chinese social media users.

This study aims to modify the Social Anxiety Scale for Social Media Users (SAS-SMU) to make it more suitable for assessing social anxiety among Chinese social media users, taking into account the unique cultural nuances and social media usage patterns in China. Consequently, a systematic approach was adopted, involving three distinct studies. Study 1 involved translating the English scale into Chinese, conducting interviews with Chinese social media users, and subsequently revising the scale items based on the interview data to ensure cultural appropriateness. Study 2 employed an online survey to collect data and examine the reliability and construct validity of the revised scale, including a two-phase approach: an exploratory factor analysis (EFA) was conducted with 500 participants to identify the underlying factor structure, and a subsequent confirmatory factor analysis (CFA) with 408 participants was used to cross-validate the results. Thus far, this study has developed a social anxiety scale for Chinese mobile social media users (SAS-CMSMU) consisted of 11 items on three factors: Interaction Anxiety, Privacy Concern Anxiety, and Shared Content Anxiety. Study 3 (N = 1,006) applied the SAS-CMSMU to assess social anxiety among Wechat users. The results indicated that participants showed a high level of overall social anxiety (M = 3.646 > 3). Specifically, Privacy Anxiety was the most pronounced, followed by Shared Content Anxiety and Interaction Anxiety. Moreover, significant statistical differences in social anxiety levels were found among WeChat users across gender, age, education, income, and relationship status.

Financial toxicity screening in an urban underserved patient population with cancer.

169 Background: Cancer-related financial hardship is associated with treatment delays, non-adherence and adverse survival outcomes. Racial/ethnic minorities and low-income households are disproportionately impacted by financial toxicity. The Comprehensive Score for Financial Toxicity (COST) measure is used to measure financial toxicity in research but has not been validated in low-income, racially diverse cancer patient populations. Methods: We conducted this study at a large urban medical center from January-August 2023. We included cancer patients on systemic therapy for at least 2 months with ECOG performance status 0-2. Participants completed the COST measure, the Functional Assessment of Cancer Therapy: General (FACT-G) and the European Organization for Research and Treatment of Cancer (EORTC) QOL to assess health-related quality of life (HRQOL). Cancer diagnosis/stage, demographic data, and social work/financial counseling interventions were abstracted. Factor analyses were conducted to determine the underlying factor structure of the COST measure responses and bivariate analyses were conducted to identify relationships between COST scores and other data. Results: 100 patients participated in the study; the average age was 65 and both sexes were equally represented. Most patients reported African American (67%) race/ethnicity. 72% of patients held less than a 4-year college degree, 22 % were unemployed and 55% reported a yearly household income of less than $35,000. Lung (46%) and gastrointestinal (38%) cancers were the most represented. 73% were enrolled in a government sponsored insurance program (Medicare, Medicaid). The average COST score among participants was 22 [range 0-44] and mean FACT-G and EORTC scores were 16.5 [range 0-28] and 59.6 [ range 0 – 100] respectively. Fifty-eight patients were referred to social work or financial counseling for financial interventions. Factor analysis revealed three predominant factors among the COST responses (Eigenvalues > 1) including Factor 1: items 3, 7, 8, 9, 10, 11; Factor 2: item 4; Factor 3: item 5. COST was weakly associated with FACT-G and EORTC (Pearson range 0.27 – 0.37). The most highly correlated value was between the COST and EORTC physical wellbeing subscale (Pearson 0.38). The COST score was significantly associated with income, with higher incomes reporting less financial toxicity (p = 0.004). No significant differences in COST scores were noted across gender, race, or level of education. Conclusions: Low levels of financial toxicity were detected using the COST measure in a diverse, low-income cancer patient population despite many patients being referred to social work/financial counseling. Compared to similar studies, we found a weaker correlation between the COST measure and HRQOL. These findings suggest that the COST measure may need to be further adapted for use in underserved populations and patients with government sponsored insurance.

Checking the Validity and Reliability of the Delirium-O-Meter Questionnaire in the Persian Language

Objective: Compiling and designing short and practical psychometric tools are among the benefits and strengths of a good standard test. The Delirium-O-Meter questionnaire measures patients' delirium status. Accordingly, the main aim of this research was to check the reliability and validity of the Persian version of this questionnaire. Method: This exploratory psychometric study was conducted from 2021 to 2022 at the therapeutic research training centers of Tabriz University of Medical Sciences. The study population included patients diagnosed with delirium. Content and construct validity were assessed using exploratory factor analysis and confirmatory factor analysis. Exploratory factor analysis was performed using SPSS 18, which helped identify the underlying factor structure, while confirmatory factor analysis in Smart PLS was employed to confirm the structure's fit. Pearson correlation was used to evaluate the consistency between different raters, and Cronbach's alpha was calculated to assess internal consistency. These methods were selected for their robustness in evaluating the instrument's psychometric properties, ensuring the reliability and validity of the Persian version of the Delirium-O-Meter questionnaire. Results: The Persian version of the Delirium-O-Meter questionnaire, consisting of 11 items, demonstrated strong psychometric properties. The average impact factor was 3.24, indicating a high relevance of the items. The content validity ratio was 0.78, and the content validity index was 0.87, both above the acceptable thresholds, confirming the content validity of the questionnaire. Cronbach's alpha coefficient for the entire questionnaire was 0.77, reflecting good internal consistency. The Kaiser-Meyer-Olkin index was 0.88, and Bartlett's sphericity test was significant (χ² = 278.45, P < 0.001), indicating the appropriateness of the data for factor analysis. Exploratory factor analysis revealed two factors that explained 76.09% of the total variance, supporting the questionnaire's construct validity. Additionally, Pearson’s correlation coefficient between the assessments of two nurses was 0.91, signifying inter-rater solid reliability. Conclusion: The Persian version of the Delirium-O-Meter questionnaire demonstrates acceptable reliability and validity, as confirmed by the comprehensive psychometric evaluation conducted in this study. The strong internal consistency, significant content and construct validity, and high inter-rater reliability underscore its effectiveness in assessing delirium in Persian-speaking patients. These findings highlight the questionnaire's suitability for clinical use, providing a reliable and valid instrument for accurately diagnosing and managing delirium in diverse healthcare settings.

Measurement of attachment in human-animal interaction research

Abstract Researchers in the field of human-animal interaction often investigate the construct of the human-animal bond in order to measure contextual information about companion-animal relationships beyond simply living with a pet. This practice allows researchers to go beyond a simple manifest variable (e.g., dog-owning vs. cat-owning participants) to investigate how specific relationships with companion animals may impact outcomes. However, the current measures of the relationship between people and their pets (i.e., attachment) are flawed. Specifically, their initial validations were based on homogenous samples, the original conceptualizations of the human-animal bond were fragmented, and some used improper statistical techniques in determining the underlying factor structure of the measure. The current study utilized confirmatory factor analysis ( n = 589) to examine the factor structure and underlying psychometric properties of the Lexington Attachment to Pets Scale and the Short Attachment to Pets Scale. The factor analysis revealed that the Lexington Attachment to Pets Scale and the Short Attachment to Pets Scale both have issues with model fit in a sample of undergraduate students at a public Southwestern University. This article offers recommendations for future research investigating the human-animal bond.

Coping patterns associations with cognitive function in older adults.

Cognitive function may contribute to variability in older adults' ability to cope with chronic stress; however, limited research has evaluated this relationship. This study investigated the relationship between theoretically derived coping domains and cognitive function in 165 middle-to-older adults during the Omicron stage of COVID-19. Participants completed a clinical interview and self-report measures of health. The National Alzheimer's Coordinating Center Uniform Data Set neuropsychological battery was used to evaluate memory, language, executive function/speed, and working memory. Structural equation modeling evaluated the underlying factor structure of the Brief COPE adapted for COVID-19. The data supported the proposed second-order Approach factor comprised of Problem-Solving and Emotion Regulation (ER) strategies and a first-order Avoidance factor. Higher Avoidance was associated with greater depression symptoms, lower income and worse memory, executive function, working memory, and verbal fluency performance. Higher Problem-Solving was associated with better verbal fluency performance. ER strategies were not significantly associated with cognitive function. The use of Problem-Solving was not associated with less Avoidance. Greater use of Problem-Solving, ER, and Avoidance were all associated with higher levels of stress. Post-hoc analyses found that higher Acceptance was the only coping strategy associated with less stress. These findings demonstrate that older adults with worse cognitive function were more likely to use Avoidance during the pandemic, which could result in prolonged stress and adverse health consequences. Future research is warranted to investigate whether acceptance-based interventions reduce the avoidance and impact of stress on health in vulnerable older adults.

Indian Buffet process factor model for counterfactual analysis

This article proposes a factor model-based counterfactual analysis. We explicitly estimate the underlying factor structure of the outcome variables and estimate the counterfactual values of the unit subject to an intervention. With the help of the non-parametric Bayesian Indian Buffet Process prior, our approach is capable of exploring heterogeneous factor exposures, and the number of latent factors is endogenously determined in the estimation process. The flexible Markov Chain Monte Carlo algorithm utilizes the maximal intervention-free information provided by the data, whereas the original synthetic control only uses pre-intervention data. The counterfactual values are estimated by simulating from the posterior predictive distribution so that we can integrate out any parameter estimation uncertainty. We also calculate the posterior predictive upper- and lower-quantile bounds for inference. The two applications, namely California’s Tobacco Control Program and the West German Reunification, demonstrate the usefulness of our approach compared to the synthetic control method and the elastic net model. The Monte Carlo simulation study also shows the robustness of our approach with respect to nonlinear dynamics in the underlying factor process.

Re-Evaluating Components of Classical Educational Theories in AI-Enhanced Learning: An Empirical Study on Student Engagement

The primary goal of this research was to empirically identify and validate the factors influencing student engagement in a learning environment where AI-based chat tools, such as ChatGPT or other large language models (LLMs), are intensively integrated into the curriculum and teaching–learning process. Traditional educational theories provide a robust framework for understanding diverse dimensions of student engagement, but the integration of AI-based tools offers new personalized learning experiences, immediate feedback, and resource accessibility that necessitate a contemporary exploration of these foundational concepts. Exploratory Factor Analysis (EFA) was utilized to uncover the underlying factor structure within a large set of variables, and Confirmatory Factor Analysis (CFA) was employed to verify the factor structure identified by EFA. Four new factors have been identified: “Academic Self-Efficacy and Preparedness”, “Autonomy and Resource Utilization”, “Interest and Engagement”, and “Self-Regulation and Goal Setting.” Based on these factors, a new engagement measuring scale has been developed to comprehensively assess student engagement in AI-enhanced learning environments.

Development and validation of a higher-order thinking skills (HOTS) scale for major students in the interior design discipline for blended learning

Assessing and cultivating students’ HOTS are crucial for interior design education in a blended learning environment. However, current research has focused primarily on the impact of blended learning instructional strategies, learning tasks, and activities on the development of HOTS, whereas few studies have specifically addressed the assessment of these skills through dedicated scales in the context of blended learning. This study aimed to develop a comprehensive scale for assessing HOTS in interior design major students within the context of blended learning. Employing a mixed methods design, the research involved in-depth interviews with 10 education stakeholders to gather qualitative data, which informed the development of a 66-item soft skills assessment scale. The scale was administered to a purposive sample of 359 undergraduate students enrolled in an interior design program at a university in China. Exploratory and confirmatory factor analyses were also conducted to evaluate the underlying factor structure of the scale. The findings revealed a robust four-factor model encompassing critical thinking skills, problem-solving skills, teamwork skills, and practical innovation skills. The scale demonstrated high internal consistency (Cronbach's alpha = 0.948–0.966) and satisfactory convergent and discriminant validity. This scale provides a valuable instrument for assessing and cultivating HOTS among interior design major students in blended learning environments. Future research can utilize a scale to examine the factors influencing the development of these skills and inform instructional practices in the field.

The Development and Initial Validation of the Multidimensional Fairness Scale

Research in psychology, sociology, economics, and other disciplines investigating social justice has identified associations between fair treatment and human well-being. However, the lack of a practical and valid instrument for measuring individual experiences of fair treatment in multiple areas of life has limited the ability to understand the relationship between fairness and wellness. The purpose of these studies was to develop and establish the initial psychometric properties and convergent validity of a scale measuring personal experiences of fairness across various life domains. Development and validation occurred across three studies. Scale development in Study 1 included the generation of items, item revision, and analysis of content validity. A review of existing literature and qualitative data derived from focus group discussions informed the initial pool of items. Cognitive interviews and expert input aided in analysis of content validity and revision of items. Study 2 consisted of confirmatory factor analyses to evaluate the performance of items and determine the underlying factor structure of the scale. In Study 3, factor analyses were used to evaluate convergent validity with other fairness-related instruments. Results of the first study supported the conceptualization of fairness along a social-ecological spectrum: experiences of fairness existed in multiple distinct life domains (e.g., interpersonal, occupational, community). Results from the second study revealed a bifactor model with one general Fairness factor and four Interpersonal, Occupational, Community, and Societal ecological group factors. Results from the third study suggested acceptable convergent validity among some subscales and other established instruments, while also suggesting that refinements to the Community fairness subscale might improve the scale. The final 12-item scale demonstrated good reliability. Results of this study produced an instrument able to measure individual experiences of fair treatment across four life domains.

Development and Preliminary Validation of the Lovebird Scale.

The term "lovebirds" is often used to describe the loving behaviors and interactions between two romantic partners, but what specific processes distinguish these flourishing lovebird relationships from other committed but "numbed" relationships? The present study aimed to address this knowledge gap through the development and preliminary validation of the Lovebird Scale. The Lovebird Scale describes the thoughts, feelings, behaviors, and habits that constitute and maintain relationship flourishing, which in turn could promote aspects of individual flourishing such as positive affect. We conducted three studies using data collected from 996 English-speaking U.S. adults (64.2% Female, M = 39.2 years old) who reported being in a romantic relationship for at least six months (M = 11.2 years). In Study 1, we conducted an exploratory factor analysis to determine the underlying factor structure. In Study 2, confirmatory factor analyses revealed a three-factor model nested within a higher-order factor representing lovebird relationships. In Study 3, we cross-validated the higher-order structure, examined the construct validity of the scale, and explored associations between the Lovebird Scale and affective state. Finally, we discuss how the Lovebird Scale contributes to the growing field of positive relationship science as well as conceptual and clinical implications of the scale.

Reliability and validity of the Chinese version of the coronary artery disease empowerment scale (CADES) in patients with coronary artery disease after percutaneous coronary intervention

BackgroundEmpowerment is a comprehensive concept involving intrapersonal, interactional, and behavioral aspects. However, there is a lack of a specific empowerment scale for Coronary artery disease (CAD) related to knowledge and skills in China. The reliability and validity of the Coronary Artery Disease Empowerment Scale (CADES) need to be tested. This study aimed to assess the reliability and validity of the Chinese version of CADES among patients with CAD in China.MethodsThe study adopted a cross-sectional design. After obtaining the copyright by contacting the author, the original English CADES was developed into Chinese by forward translation, back-translation, cross-cultural adaptation, and a pretest (30 patients). The Chinese version of CADES was administered to 391 CAD patients between September 2022 and June 2023, with the reliability and validity of the version evaluated. Exploratory factor analysis and confirmatory factor analysis were performed to examine the underlying factor structure of the translated questionnaire. The Cronbach’s α coefficient, Guttman’s split-half coefficient, and McDonald’s omega coefficient were calculated to verify the scale’s reliability.ResultsFor the Chinese version of CADES, the scale-content validity index was 0.972, with the item-content validity index ranging from 0.86 to 1.00. The questionnaire comprised 25 items, and exploratory factor analysis extracted four factors with loadings > 0.40, explaining 62.382% of the total variance. An acceptable model fit was achieved (χ2/df = 1.764, RMSEA = 0.060, TLI = 0.901, CFI = 0.912, IFI = 0.913). The Cronbach’s α coefficient of the total questionnaire was 0.928, with coefficients for the four factors ranging from 0.683 to 0.913. The split-half reliability coefficient was 0.777, and the McDonald’s omega reliability coefficient was 0.926.ConclusionsThe Chinese version of CADES is reliable and valid among CAD patients in China. This instrument can serve as a valuable reference for guiding the implementation of targeted intervention strategies tailored to the empowerment status of CAD patients in clinical practice.

High-performing teams: Is collective intelligence the answer?

The concept of a general factor of collective intelligence, proposed by Woolley et al. in 2010, has spurred interest in understanding collective intelligence within small groups. This study aims to extend this investigation by examining the validity of a general collective intelligence factor, assessing its underlying factor structure, and evaluating its utility in predicting performance on future group problem-solving tasks and academic outcomes. Employing a correlational study design, we engaged 85 university students in a series of complex cognitive tasks designed to measure collective intelligence through individual, group, and predictive phases. Contrary to the hypothesized single-factor model, our findings favor a two-factor model influenced by Cattell's theory of crystalized and fluid intelligence. These two factors accounted for substantial variance in group performance outcomes, challenging the prevailing single-factor model. Notably, the predictive validity of these factors on group assignments was statistically significant, with both individual and collective intelligence measures correlating moderately with group assignment scores (rs = .40 to .47, p < .05). Our research suggests that collective intelligence in small group settings may not be uniformly governed by a single factor but rather by multiple dimensions that reflect established theories of individual intelligence. This nuanced understanding of collective intelligence could have significant implications for enhancing group performance in both educational and organizational contexts. Future research should explore these dimensions and their independent contributions to group dynamics and outcomes.

Validity and Reliability of a Questionnaire Assessing Changes in Dietary Behaviors Among School Children Amid the COVID-19 Pandemic in Jordan.

This study aimed to develop and validate a questionnaire to assess changes in dietary behaviors among school children in Jordan during the COVID-19 pandemic. A cross-sectional study used a convenience sample of 253 school-aged children from public schools across Jordan. The dietary and lifestyle behavior inventory (DLBI) was developed, incorporating cultural and regional dietary preferences. The questionnaire's validity and reliability were assessed using the content validity index (CVI) and Cronbach's alpha for internal consistency. Exploratory factor analysis (EFA) was conducted to evaluate the underlying factor structure. The DLBI demonstrated excellent content validity with a scale content validity index (S-CVI) of 0.997 and a high level of agreement among expert reviewers (total agreement = 116). Reliability analysis showed high internal consistency for dietary behavior scales, with Cronbach's alpha values exceeding 0.9 for fruit (0.869) and vegetable (0.916) consumption scales. Factor analysis revealed strong associations between dietary behavior variables, with factor loadings ranging from 0.688 to 0.889. The study identified significant reductions in physical activity levels among children, with an average Cronbach's alpha of 0.835 for physical activity-related items. The average time to complete the questionnaire was 15 minutes (SD = 5 minutes), with a completion rate of 45.6%. The validated DLBI is a robust tool for assessing changes in dietary behaviors among school-aged children in Jordan during the COVID-19 pandemic. The findings highlight significant dietary patterns and physical activity shifts, emphasizing the need for targeted nutritional interventions.

Assessing Beliefs About Intrinsic and Extrinsic Determinants of SLD: Evaluating the Factor Structure of a Novel Instrument.

Schools conduct comprehensive psychoeducational evaluations to identify students with specific learning disabilities (SLDs) and determine whether they qualify for special education services. This decision-making process is complex and research has documented many factors influencing SLD identification decisions. One such factor may be decision-makers' beliefs about the underlying causes of SLD, including intrinsic and extrinsic factors. However, no studies to date have examined the underlying factor structure of the responses to prompts about the causes of SLD from intrinsic and extrinsic perspectives. This study was conducted with a sample of 521 school psychologists as part of a larger study examining decision-making during SLD identification. Using confirmatory factor analyses (CFA) to compare two theoretically plausible models, results suggested that a single latent factor best captured variability in responses to these prompts. Implications for assessing beliefs and how they impact the psychoeducational assessment process to identify SLDs are discussed, along with areas for future research.

Psychometric evaluation of the Chinese version of the febrile convulsion knowledge scale for parents/caregivers: translation and validation study

BackgroundFever is one of the most common clinical symptoms of respiratory diseases in children. Once the child has a fever, parents and caregivers are mainly concerned that the child may have a febrile convulsion. A lack of cognitive ability not only leads to anxiety but also aggravates or delays the time of children’s medical treatment and even seriously affects the prognosis because of improper management of fever patients.Therefore, it is necessary to clarify the degree of mastery of knowledge related to febrile convulsions, implement targeted guidance and health education, and ensure that parents and caregivers receive correct and reasonable first aid treatment. The purpose of this study was to translate the Febrile Convulsion Knowledge Scale for Parents/Caregivers into Chinese and to verify its reliability and validity for Chinese parents and caregivers of children.MethodsThe Brislin traditional translation model was used to translate the Febrile Convulsion Knowledge Scale for Parents/Caregivers from English to Chinese, following authorization from the original author of the scale. This involved literal translation, back translation, and cultural adaptation. A convenience sampling method was used to select 402 parents and caregivers of children in the pediatric ward and pediatric infusion clinic of a Grade III hospital in Liaoning Province. The item analysis method was employed to assess item differentiation, while the Delphi method was used to analyze content validity. Scale reliability was evaluated through the calculation of internal consistency and test-retest reliability. Exploratory and confirmatory factor analyses were conducted to explore and verify the underlying factor structure and scale validity.ResultsThe Chinese version of the Febrile Convulsion Knowledge Scale for Parents/Caregivers consists of 3 dimensions and 8 items. The Cronbach’s alpha coefficient was 0.828, with each dimension having coefficients of 0.806, 0.720, and 0.702. The split-half reliability and test-retest reliability were 0.716 and 0.790, respectively. The Chinese version has good reliability. Exploratory factor analysis revealed that the Bartlett sphericity test was 394.52 (p < 0.001) and that the KMO value was 0.802 > 0.600, indicating suitability for factor analysis. Principal component analysis and orthogonal rotation of maximum variance were performed on the data, and items with a load greater than 0.40 within a single factor were selected for inclusion. The resulting three-factor structure explained 70.78% of the total variance. All model fitting indices were within the acceptable range, indicating the good structural validity of the Chinese version. The results of both exploratory and confirmatory factor analyses support this conclusion.ConclusionsThe Chinese version of the Febrile Convulsion Knowledge Scale for Parents/Caregivers has good reliability and validity. It can be used as a tool for clinical pediatric nurses to evaluate the knowledge of parents and caregivers of children with febrile convulsion and provide the basis for the design and implementation of targeted training plans according to the results obtained from the Chinese scale.

Psychometric properties of the Five-executive Function Tests in Indonesian samples

Difficulties in executive function (EF) may be causative factors in clinical conditions, including learning disabilities, depression, and anxiety. However, defining the structure of EF is an ongoing issue, although Miyake’s three-factor structure is widely accepted. This study aims to discover the underlying factor structure of EF domains, as measured by five tests and the scores of 840 participants, to establish the domains’ validity and reliability. Five neuropsychological tests were included in the exploratory and confirmatory factor analyses (EFA and CFA): the Digit Span (DS); the Stroop Color Word Test (Stroop Test); the phonemic Verbal Fluency Test (pVFT); the Five Point Test (5PT); and the Trail Making Test (TMT). EFA could be meaningfully performed (KMO = .862, Bartlett’s test: 𝜒2 =1393.169, df 45, p .001) and yielded three factors closely mirroring the three core domains of EF. CFA of the model in which the 5PT loaded on factor 2 showed the best goodness of fit indicators, although the difference with the other three-factor models was small. Currently, these EF tests are available in Indonesia and suitable for use, although obtaining normative scores adjusted for demographic factors is necessary.