Academic optimism, capital indicators as predictors of cognitive, affective, and psychomotor learning outcome among students in secondary school. Hierarchical regression approach (HRA).

Background: Studies that were carried out previously on learning outcomes focused mainly on the student's cognitive domain while identifying factors that predicted it. More so, most of the learner's assessments in school are largely dependent on the score obtained from specific subjects by the learner, and efforts to address other domains of instruction such as affective and psychomotor domains have been minimal or absent in regard to the variables selected for the study. This study therefore sought to address that gap by finding out the relative and composite contribution of academic optimism and capital indicators to the learning outcomes (of students. Methods: The study adopted a correlational design with a multistage sampling technique to select a total of 534 senior secondary class II students. Two research instruments, the Academic Optimism and Capital Indicators Scale (AOCIS) and the Learning Outcomes Scale (LOS), were used for data collection. Exploratory and confirmatory factors analysis were used to assess the dimensionality of the items and factor structure of the scales. The psychometric properties obtained for scale were adequate for the instrument to be adjudged valid and reliable.The collected data were analysed using the hierarchical regression approach (HRA). Results: The findings of the study revealed that academic emphasis, collective efficacy, faculty trust, social capital, economic capital, and cultural capital, relatively and jointly, predict overall learning outcomes (cognitive, affective, and psychomotor construct). The result showed that there was an increased proportion of variance with each addition of a predictor to the model. Social capital reduced the percentage change at the initial time, but with the addition of economic capital, the proportion of change increased among others in the subsequent model examination. Conclusion: /implication: The study provides knowledge and empirical evidence that academic optimism and capital indicators, with their dimensions, affect composite learning outcomes among students. This study will help school ministries, policymakers, and curriculum planners make sure that the educational objectives, philosophies, and programmes are planned to reflect the total learner in order to produce the total learner that will effect changes in the society. This study has provided evidence that academic inputs and capital indicators are crucial indices of their learning outcomes in the three area of learning. The ability of the school to emphasise academics, ensure that all school agents are committed to instructional delivery, and gain the trust of parents is crucial for adequate support to enhance students learning outcomes. The outcome has implication for policy development and providing a climate that can stimulate equity, trust and motivation.

Using Multiple Imputation to Account for the Uncertainty Due to Missing Data in the Context of Factor Retention.

Although parallel analysis has been found to be an accurate method for determining the number of factors in many conditions with complete data, its application under missing data is limited. The existing literature recommends that, after using an appropriate multiple imputation method, researchers either apply parallel analysis to every imputed data set and use the number of factors suggested by most of the data copies or average the correlation matrices across all data copies, followed by applying the parallel analysis to the average correlation matrix. Both approaches for pooling the results provide a single suggested number without reflecting the uncertainty introduced by missing values. The present study proposes the use of an alternative approach, which calculates the proportion of imputed data sets that result in k (k = 1, 2, 3 . . .) factors. This approach will inform applied researchers of the degree of uncertainty due to the missingness. Results from a simulation experiment show that the proposed method can more likely suggest the correct number of factors when missingness contributes to a large amount of uncertainty.

Validation of the brief screening of Social Network Addiction Risk.

INTRODUCTION: This study aims to develop a valid and reliable tool to evaluate social network behavior in young adults. METHODS: To validate the Brief screening for Social Network Addiction Risk (BSNA), data from 776 Italian young adults (64.3 % of women) were collected. The suitability of the instrument was statistically assessed. Experts' opinions, item reliability, exploratory and confirmatory factor analyses, and convergent validity were adopted to validate the BSNA items. Internal consistency coefficients were also calculated. RESULTS: According to the statistical analyses, a 2-factor structure was confirmed. The two scales of BSNA assess behavior and motivation frame of social networks use. The second order model proved a global score of risk of social network addiction. Fit indices highlighted the high goodness of the model. Preliminary analyses of prevalence estimated that about 18 % of participants reported problematic Social Network use, which may overtime represent a marker of addictive behavior. CONCLUSION: The final version of the BSNA, with 11 items evaluated on a 5-point Likert- scale, is a short but valid tool for measuring the risk of social network addiction. It represents a promising screening tool aimed to not overpathologize a behavior, but to furnish adequate insight into this phenomenon.

Insights into "wheat aroma": Analysis of volatile components in wheat grains cultivated in saline-alkali soil.

The wheat grains that are cultivated in saline-alkali soil exhibit a richer "wheat aroma" compared to their counterparts. This study characterized the composition and content of volatiles in five wheat kernel varieties, harvested from two fields with varying pH levels and total salt content in the soil. The wheat grown in soil with high pH and total salt content had significantly lower levels (p < 0.05) of ethyl 3-methylbutanoate and 1-octen-3-one and significantly higher levels (p < 0.05) of 1-butanol and 1-octen-3-ol. Among all factors, plant site contributed the highest F-value contribution rate (more than 77 %) for these four volatile compounds. Six e-nose sensors responsive to these four compounds exhibited consistent trends. Therefore, the lower of ethyl 3-methylbutanoate and 1-octen-3-one, the higher of 1-butanol and 1-octen-3-ol in wheat, grown on saline-alkali soil, served as characteristic markers for "wheat aroma".

The Relationship between Dietary Patterns and Metabolic Phenotypes: A Cross-Sectional Study in a Representative Sample of Iranian Industrial Employees.

Background and Aim: There is limited evidence to support the relationship between dietary patterns and metabolic phenotypes. Therefore, this study aimed to assess the association of dietary patterns with metabolic phenotypes among a large sample of Iranian industrial employees. Methods: This cross-sectional study was conducted among 3,063 employees of Esfahan Steel Company, Iran. Using exploratory factor analysis, major dietary patterns were obtained from a validated short form of food frequency questionnaire. The metabolic phenotypes were defined according to Adult Treatment Panel III guidelines. The independent-sample t-test, one-way analysis of variance, χ2 test, and multivariable logistic regression were applied to analyze data. Results: Three major dietary patterns were identified by factor analysis: the Western dietary pattern, the healthy dietary pattern, and the traditional dietary pattern. After controlling for potential confounders, subjects in the highest tertile of Western dietary pattern score had a higher odds ratio (OR) for metabolically healthy obese (MHO; OR 1.58, 95% confidence interval [CI]: 1.29-1.94), metabolically unhealthy normal weight (OR 1.93, 95% CI 1.08-3.45), and metabolically unhealthy obese (MUHO) phenotypes (OR 2.87, 95% CI 2.05-4.03) than those in the lowest tertile. Also, higher adherence to traditional dietary pattern was positively associated with a higher risk of MHO (OR 1.91, 95% CI 1.56-2.34) and MUHO phenotypes (OR 2.33, 95% CI 1.69-3.22) in the final model. Conclusion: There were significant associations between dietary patterns and metabolic phenotypes, suggesting the necessity of nutritional interventions in industrial employees to improve metabolic phenotype, health outcomes, and, therefore, job productivity in the workforce population.

Validation of the questionnaire to measure Chilean teachers' perception of school violence and coexistence management (VI+GEC).

In this article, we present the development and validation of a psychometric scale that measures the teacher's perception in the Chilean school system with respect to elements of school violence and coexistence management. The novelty lies in the incorporation of factors that address violence from teachers to students, from students to teachers and coexistence management. A total of 1072 teachers from the Northern, Central, Southern and Metropolitan macro-zones of Chile participated, with ages between 22 and 76 years (M=44.56; SD=10.52) and from 1 to 54 years of work (M=17.14; SD=10.38). 76.3% identify with the female gender and 23.7% with the male gender. Of the teachers, 78.4% worked mainly in the classroom and the rest performed managerial or administrative functions outside the classroom in the school. The school violence and coexistence management questionnaire for teachers (VI+GEC) was used. The validity of the scale was demonstrated by means of Confirmatory Factor Analysis, convergent validity analysis and discriminant validity. Reliability was demonstrated by means of McDonald's omega coefficient in all the factors of the scale. An analysis with Structural Equation Modeling (SEM) found a mean, and statistically significant influence of the perception of coexistence management on the perception of school violence. The findings are discussed in terms of previous research on school violence and coexistence management.

Development of a scale for attitude toward sexually transmitted infections based on the Health Belief Model.

OBJECTIVES: Determination of the attitudes of individuals toward sexually transmitted infections (STIs) can also help identify barriers to health service-seeking behavior. Hence, this study aimed to develop a scale for determining the attitudes of individuals toward sexually transmitted diseases. STUDY DESIGN: This was a methodological study. The Health Belief Model (HBM) framework was used to elucidate the perceptions and interpretations of illnesses among individuals. After reviewing the relevant literature, an item pool was created to include 4 dimensions (perceived susceptibility (A), perceived severity (B), perceived benefit (C), and perceived barriers and self-efficacy (D)) about sexually transmitted diseases from the perspective of HBM. Exploratory factor analysis was conducted to evaluate the construct validity of the scale. Moreover, confirmatory factor analysis was used to examine the suitability of the items in terms of factor structures. RESULTS: The final version of the scale comprised 19 items and 4 subdimensions. The first subdimension of the scale accounted for 20.11% of the total variance, whereas the second, third, and fourth subdimensions accounted for 17.83%, 12.50%, and 8.75% of the total variance, respectively. Collectively, these four subdimensions accounted for 59.19% of the total variance. The Cronbach's alpha reliability coefficient of the scale was found to be 0.74. CONCLUSIONS: Briefly, the present study led to the development of a novel assessment tool, Attitude Toward Sexually Transmitted Infections Scale. Higher scores on the scale indicated higher likelihood of taking action for a possible STI treatment according to the HBM approach.

Development and validation of Chinese compensatory health beliefs scale.

Compensatory Health Beliefs (CHBs), the notion that healthy behaviors can offset the negative effects of unhealthy actions, have been widely explored in Western contexts. Yet, their relevance within the Chinese cultural milieu remains underexplored. The primary objective of this research was to develop and validate a Chinese version of the CHBs scale (CHBs-C), addressing the gap in the literature regarding the applicability of CHBs within the Chinese cultural context. A multi-stage translation (from English to Chinese) was first completed, and exploratory factor analysis was conducted (n = 476), yielding the 14-item scale (CHBs-C scale). Confirmatory factor analysis was conducted to assess the validity, and the 2-week test-retest reliability, internal consistency and convergent validity of the scale were also assessed (n = 308). Predict validity was verified through testing the relationships between CHBs and health behaviors and habits (n = 274). Factor analysis showed a different factor structure in Chinese context, with only one factor identical to the original version. The fitness index of the new factor structure was good. However, while the scale exhibited acceptable internal consistency and high test-retest reliability, its convergent validity and predictive validity was found to be limited on a general level. Despite this, significant correlations at the subscale level were identified, highlighting nuanced interactions between CHBs and specific health behaviors within the Chinese population. This study not only establishes the CHBs-C scale as a valid and reliable instrument for assessing compensatory health beliefs in China but also lays the groundwork for further exploration of its applications and the potential cultural adaptability of CHBs.

Prodromal questionnaire (PQ-16) dimensionality among Colombian adolescent school students.

AIMS: The study aimed to determine the dimensionality of the Spanish version of the PQ-16 among Colombian adolescent school students. METHODS: A validation study was designed with the participation of 334 Colombian adolescent students aged between 13 and 17 (M = 15.2, SD = 1.1); 171 (52.1%) were girls, and 163 (47.9%) were boys, 229 (68.6%) were ninth-grade students and 105 (31.4%) were tenth-grade students. Confirmatory factor analysis was performed, internal consistency was calculated with the Kuder-Richardson and McDonald's omega tests, and correlation with suicide ideation was computed with the Kendall correlation (r). RESULTS: The confirmatory factor analysis showed that the PQ-16 adequately fit a unidimensional structure: RMSEA = 0.05 (90%CI 0.04-0.06), CFI = 0.91, TLI = 0.90, SRMR = 0.05, chi-squared = 193.18 (df = 102, p < 0.001) and normalized chi-squared = 1.89. This factor presented high internal consistency: Kuder-Richardson test and McDonald's omega of 0.83. The correlation between the PQ-16 and suicide ideation was r = 0.45 (p < 0.001). CONCLUSION: The PQ-16 is a one-dimensional tool with high internal consistency and correlation with suicide ideation among schooled adolescents. Further research should explore the PQ-16 performance against a structured clinical interview.

Screening for eating disorders in adolescents with chronic pain: the Eating Attitudes Test-16-Chronic Pain.

BACKGROUND: Few measures have been validated to screen for eating disorders (ED) in youth with chronic pain. We conducted confirmatory (CFA) of two established factor structures of the Eating Attitudes Test-26 (EAT-26) in a sample of youth with chronic pain attending an intensive interdisciplinary pain treatment (IIPT) program and examined the validity of the best-fitting model in predicting ED diagnoses in this sample. METHODS: Participants were 880 adolescents (M age = 16.1, SD = 2.1) consecutively admitted into an IIPT program who completed the EAT-26 upon admission. CFA was conducted and in the case of inadequate fit, EFA was planned to identify alternative models. Factors of the best-fitting model were included in a logistic regression analysis to predict ED diagnoses. RESULTS: The TLIs (0.70; 0.90), RMSEAs (0.09; 0.07) and CFIs (0.73; 0.92) suggested poor fit of one model and adequate of the second model. Goodness of fit indices from EFA (TLI:0.85, RMSEA:0.06) did not outperform the fit of the second CFA. As such, the second model was retained with the exception of one factor. The items loaded onto a 16-item, five factor model: Fear of Getting Fat, Social Pressure to Gain Weight, Eating-Related Control, Eating-Related Guilt and Food Preoccupation. Based on chart review, 19.1% of the participants were diagnosed with an eating disorder. Logistic regression analyses indicated the new 16-item measure and Fear of Getting Fat, significantly predicted an ED diagnosis that did not include avoidant restrictive food intake disorder (ARFID) and Social Pressure to Gain Weight significantly predicted a diagnosis of ARFID. CONCLUSIONS: An alternative 16-item, 5-factor structure of the EAT-26 should be considered in screening for EDs with youth with chronic pain.

Optimization of Pressurized Liquid Extraction (PLE) Parameters for Extraction of Bioactive Compounds from Moringa oleifera Leaves and Bioactivity Assessment.

Moringa oleifera leaves are rich sources of bioactive compounds with potential health benefits, including antioxidants and anti-inflammatory agents. Pressurized liquid extraction (PLE) stands out as a promising technique for effectively extracting valuable compounds from natural sources. In this study, we aimed to optimize PLE parameters, such as temperature, extraction duration, and pressure, to maximize bioactive compound (polyphenols, flavonoids, and ascorbic acid) yield from M. oleifera leaves and evaluate their antioxidant and anti-inflammatory activities. According to the outcomes of this research, the maximum achieved total polyphenol content was 24.10 mg gallic acid equivalents (GAE)/g of dry weight (dw), and the total flavonoid content was increased up to 19.89 mg rutin equivalents (RtE)/g dw. Moreover, after HPLC-DAD analysis, neochlorogenic and chlorogenic acids, catechin and epicatechin, rutin, and narirutin were identified and quantified. As far as the optimum ascorbic acid content is concerned, it was found to be 4.77 mg/g dw. The antioxidant activity was evaluated by three different methods: ferric reducing antioxidant power (FRAP), the DPPH method, and the anti-hydrogen peroxide activity (AHPA) method, resulting in 124.29 µmol ascorbic acid equivalent (AAE)/g dw, 131.28 µmol AAE/g dw, and 229.38 µmol AAE/g dw values, respectively. Lastly, the albumin denaturation inhibition was found to be 37.54%. These findings underscore the potential of PLE as an efficient extraction method for preparing extracts from M. oleifera leaves with the maximum content of bioactive compounds.

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

Background: The 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. Methods: We 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. Results: Confirmatory 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). Conclusion: The 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.

Adapting the athlete sleep behavior questionnaire (ASBQ) for Arabic-speaking populations: Translation, reliability testing, and validation using classical theory and item response theory.

Sleep is essential for athletes' physical performance as well as their general health, well-being, and quality of life. To assess athletes' sleep behaviors, the Athlete Sleep Behavior Questionnaire (ASBQ) was developed in the English language. However, a validated Arabic-version of the ASBQ is lacking. This study aimed to translate the ASBQ into Arabic (ASBQ-AR) and evaluate its reliability and validity among Arabic-speaking athletes. A total of 458 participants (254 athletes, 202 non-athletes) from four Arabic countries completed the ASBQ-AR and the Insomnia Severity Index (ISI) questionnaires. The psychometric properties of the ASBQ-AR were examined using unidimensional reliability analysis, confirmatory factor analysis (CFA), Item Response Theory (IRT), and convergent validity. The ASBQ-AR had acceptable internal consistency (Cronbach's α = 0.723, McDonald's ω = 0.725) and a factorial structure, confirming its construct validity. CFA demonstrated improved model fit indices after the removal of two potentially misfitting items (items 4 and 13); however, the model's fit to the data remains suboptimal. IRT results indicated that the majority of items demonstrated a good model fit, suggesting effective measurement of the intended construct without significant interference, except for ASBQ-AR 4. Additionally, ASBQ-AR 4 appears to present the highest level of difficulty for respondents. In terms of convergent validity, the mean ASBQ-AR global score was correlated with the mean ISI global score (r = 0.5, p < 0.0001). The ASBQ-AR is a reliable and valid tool for assessing maladaptive sleep practices among Arabic-speaking athletes. Additional refinements to the ASBQ-AR are warranted to optimize its psychometric properties.

Factor retention in ordered categorical variables: Benefits and costs of polychoric correlations in eigenvalue-based testing.

An essential step in exploratory factor analysis is to determine the optimal number of factors. The Next Eigenvalue Sufficiency Test (NEST; Achim, 2017) is a recent proposal to determine the number of factors based on significance tests of the statistical contributions of candidate factors indicated by eigenvalues of sample correlation matrices. Previous simulation studies have shown NEST to recover the optimal number of factors in simulated datasets with high accuracy. However, these studies have focused on continuous variables. The present work addresses the performance of NEST for ordinal data. It has been debated whether factor models - and thus also the optimal number of factors - for ordinal variables should be computed for Pearson correlation matrices, which are known to underestimate correlations for ordinal datasets, or for polychoric correlation matrices, which are known to be instable. The central research question is to what extent the problems associated with Pearson correlations and polychoric correlations deteriorate NEST for ordinal datasets. Implementations of NEST tailored to ordinal datasets by utilizing polychoric correlations are proposed. In a simulation, the proposed implementations were compared to the original implementation of NEST which computes Pearson correlations even for ordinal datasets. The simulation shows that substituting polychoric correlations for Pearson correlations improves the accuracy of NEST for binary variables and large sample sizes (N = 500). However, the simulation also shows that the original implementation using Pearson correlations was the most accurate implementation for Likert-type variables with four response categories when item difficulties were homogeneous.

Evaluating lumbar disc degeneration by MRI quantitative metabolic indicators: the perspective of factor analysis.

PURPOSE: This study aimed to investigate an early diagnostic method for lumbar disc degeneration (LDD) and improve its diagnostic accuracy. METHODS: Quantitative biomarkers of the lumbar body (LB) and lumbar discs (LDs) were obtained using nuclear magnetic resonance (NMR) detection technology. The diagnostic weights of each biological metabolism indicator were screened using the factor analysis method. RESULTS: Through factor analysis, common factors such as the LB fat fraction, fat content, and T2* value of LDs were identified as covariates for the diagnostic model for the evaluation of LDD. This model can optimize the accuracy and reliability of LDD diagnosis. CONCLUSION: The application of biomarker quantification methods based on NMR detection technology combined with factor analysis provides an effective means for the early diagnosis of LDD, thereby improving diagnostic accuracy and reliability.

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

Background: 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. Objective: This study aimed to assess the psychometric properties of the TQF: HEd instrument among graduate nurses of the Royal Thai Air Force. Methods: 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. Results: 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. Conclusion: 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.

Dimensionality of the Swahili version of the General Health Questionnaire (GHQ-12) in a Kenyan population: A confirmatory factor analysis.

The current study evaluated the Kiswahili version of General Health Questionnaire (GHQ-12) in a Kenyan context comprising of women exposed to gender-based violence. Participants were randomly drawn from community sampling using household screening methods in peri-urban areas in Nairobi. A total of 1,394 participants with varying levels of literacy (years of education: mean [M] = 9.42; standard deviation [SD] = 3.73) and aged between 18 and 89 years were recruited for the study. The observed factor structure of the GHQ-12 was evaluated using six most tested models querying the dimensionality of the instrument insofar as the impacts of positive and negative wording effects in driving multidimensionality. Results from the confirmatory factor analysis supported a bifactor model, consisting of a general distress factor and two separate factors representing common variance due to the positive and negative wording of items. Overall, the findings support the use of the Kiswahili version of the GHQ-12 as a unidimensional construct with method-specific variance owing to wording effects. Importantly, GHQ-12 responses from a sample of Kenyan women with relatively low levels of literacy are congruent with the factor structure observed in other cross-cultural settings in low- and-middle-income countries.

Electronic Version of the Family Quality of Life Survey (eFQOLS): Reliability and Validity for Families of Individuals With Disabilities and Chronic Health Conditions.

This study tested the psychometric properties of an electronic Family Quality of Life Survey (eFQOLS) when used with families of individuals with disabilities and/or chronic health conditions. Data gathered from 272 family caregivers using the eFQOLS were subjected to reliability analysis, correlation analysis, and confirmatory factor analysis to test the internal consistency of the scales, as well as criterion and construct validity of the internal structure of the scale. Testing factor structures of the item-level domain models indicated that initiative and stability had low factor loadings in many domains. As a result, these items were deleted from the subscales. The subscale-level FQOL factor structure demonstrated a good fit after two adjustments. The internal consistency of the 27-item total FQOL scale was excellent (α = .93), while that of the subscales ranged from moderate to strong (α = .69 to .90). The eFQOLS had a moderate degree of construct validity, good criterion validity, and reliability when used with diverse families across the lifespan. Additional research is needed to continue refining the survey with a more heterogenous sample.

Clinical empathy in a medium and high-risk Brazilian unit.

BACKGROUND: Clinical empathy is an essential part of healthcare, and patient-centered care models require clinical empathy to be established. Despite this, little is known about its measurement in the neonatal scenario. RESEARCH AIM: To measure clinical empathy in health professionals who work with medium and high-risk neonates and build a construct of this empathy. RESEARCH DESIGN: Single-center survey study. PARTICIPANTS AND RESEARCH CONTEXT: The Jefferson Scale of Empathy for Health Professionals questionnaire was applied to health professionals who work in an intensive care unit and a medium-risk unit, in Brazil. Analysis was done using descriptive statistics and a factor analysis model, to build the construct of empathy. Overall empathy was calculated, and the domains' punctuations were analyzed and compared to the maximum punctuation possible. The study followed the STROBE checklist. ETHICAL CONSIDERATIONS: This study was approved by the Research Ethics Committee of the institution. All participants signed the informed consent form. Participants' confidentiality and anonymity were protected. FINDINGS: Median empathy was 117 (IQR 113-124). The domain of Walking in the Patient's Shoes had lower scores and represented 77.6% of the maximum punctuation possible. The factor analysis included three factors named Understanding, Experiences, and Treatment, and Emotional Relationships, explaining 64.3% of the overall variance. The domain Walking in the Patient's Shoes was not included in the model. CONCLUSIONS: In this scenario, clinical empathy should improve. There is a need to improve the domain of Walking in the Patient's Shoes, in this case, the neonate, and provide more empathic care to them.

Determining Sample Size Requirements in EFA Solutions: A Simple Empirical Proposal.

In unrestricted or exploratory factor analysis (EFA), there is a wide range of recommendations about the size samples should be to attain correct and stable solutions. In general, however, these recommendations are either rules of thumb or based on simulation results. As it is hard to establish the extent to which a particular data set suits the conditions used in a simulation study, the advice produced by simulation studies is not direct enough to be of practical use. Instead of trying to provide general and complex recommendations, in this article, we propose to estimate the sample size that is needed to analyze a data set at hand. The estimation takes into account the specified EFA model. The proposal is based on an intensive simulation process in which the sample correlation matrix is used as a basis for generating data sets from a pseudo-population in which the parent correlation holds exactly, and the criterion for determining the size required is a threshold that quantifies the closeness between the pseudo-population and the sample reproduced correlation matrices. The simulation results suggest that the proposal works well and that the determinants identified agree with those in the literature.