Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (ESEM), and Set-ESEM: Optimal Balance Between Goodness of Fit and Parsimony

Development of a 50-Item Abridged Form of the Junior Spanish Version of the NEO Questionnaire (JS NEO-A50)

Abstract. The aim of this psychometric study was to construct an abridged 50-item form, 10 for each of the five factors of personality, of the Junior Spanish version of the NEO-PI-R (JS NEO-A50). Two separate studies were conducted. In Study 1, 400 high school students completed two personality scales to examine the factor structure (exploratory factor analysis), convergent validity, and reliability of the JS NEO-A50. In Study 2, an independent sample of 385 adolescents completed the JS NEO-A50 and several outcome measures to replicate the factor structure (exploratory structural equation model) and examine criterion validity, respectively. The five-factor structure found in Study 1 was satisfactorily replicated in the second, independent sample. Sources of reliability (internal consistency and test-retest) and validity (convergent) were adequate. Also, the outcome measures assessed in Study 2 were related to personality traits in the expected direction. Life satisfaction was significantly predicted by emotional stability; symptoms of behavioral problems were predicted by low scores in both agreeableness and conscientiousness while internalizing emotional symptoms were mainly predicted by emotional instability; finally, academic performance was mainly predicted by conscientiousness. We conclude that the JS NEO-A50 is a sound inventory to measure the five broad personality domains in Spanish-speaking adolescents.

Psychometric Properties of the Korean Version of the Nursing Profession Self-Efficacy Scale

BACKGROUND

Self-efficacy in the nursing profession has been reported to have a positive effect on personal performance in terms of clinical performance and decision-making abilities, nursing performance, professional intuition, organizational commitment, and turnover intention.

PURPOSE

The purpose of this study was to verify the validity and reliability of the Korean version of the Nursing Profession Self-Efficacy Scale (K-NPSES).

METHODS

This methodological study used questionnaires collected from 307 nurses at medical institutions in South Korea. The content validity of the questionnaire was verified using the averaging method, whereas the criterion-related validity was evaluated by calculating the correlation with the Sherer General Self-Efficacy Scale. The construct validity was determined by analyzing the explanatory and confirmatory factors. Reliability was verified using Cronbach's α and test-retest by calculating intraclass correlation coefficients.

RESULTS

The content validity index of the K-NPSES was found to be greater than .95, and the criterion-related validity was satisfactory (coefficient = .57, p < .001). The original Nursing Profession Self-Efficacy Scale has two subfactors, and the K-NPSES analyzed in this study has four subfactors. The data were appropriate for factor analysis using Kaiser-Meyer-Olkin (.87) and Bartlett's sphericity test (χ2 = 1236.01, df = 137, p < .001). The model fit was acceptable (normed chi-square [χ2/df] = 2.22, root mean square residual = .05, root mean square error of approximation = .09, comparative fit index = .88, Tucker-Lewis index = .86, goodness-of-fit index = .83). Regarding reliability, Cronbach's α was .91 and the intraclass correlation coefficient was .78 (p < .001).

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

The findings of this study confirmed the K-NPSES as having acceptable validity. In addition to predicting nursing clinical performance, a well-established nursing profession self-efficacy scale may be used to improve the quality of clinical nursing.

Travesty of Life Elders Abuse an Inquiry of Physical and Psychological Abuse

Elder abuse is evil in human society. The present paper unveils this social issue from two major factors psychological and physical abuse. The study sensitizes the subject matter of study by examining the effects of demographic variables like gender and age on elders. For achieving the purpose of the study the research is a design by exploring and validating the factors of measuring elder abuse through the mix method approach, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). To test the established hypotheses of the effects of the demographic variable on elders the two-way ANOVA was applied. The present study verdicts the development of a sound measurement scale with two influence factors. The separate and composite effect of aging and gender type on elder abuse was evidenced. These findings are crucial especially when the prevalence of elder abuse is higher during COVID-19. The limited novel understudied variable opens an avenue for further research in behavioral and demographic variables like marital status. The present study has practical insinuation for caring the elders in any human society like physical and psychological treatment of elders to avoid abusive situations. In addition, the study attempts to validate the novel issues like psychological and physical abuse of elders in the dimensions of demographic variables. Some rare studies in the Indian continent established the motivation of conducting the research on this dimension.

Exploratory Structural Equation Modeling: Practical Guidelines and Tutorial With a Convenient Online Tool for Mplus

Critics of positive psychology have questioned the validity of positive psychological assessment measures (PPAMs), which negatively affects the credibility and public perception of the discipline. Psychometric evaluations of PPAMs have shown that various instruments produce inconsistent factor structures between groups/contexts/times frames, that their predictive validity is questionable, and that popular PPAMs are culturally biased. Further, it would seem positive psychological researchers prioritize date-model-fit over measurement quality. To address these analytical challenges, more innovative and robust approaches toward the validation and evaluation of PPAMs are required to enhance the discipline's credibility and to advance positive psychological science. Exploratory Structural Equation Modeling (ESEM) has recently emerged as a promising alternative to overcome some of these challenges by incorporating the best elements from exploratory- and confirmatory factor analyses. ESEM is still a relatively novel approach, and estimating these models in statistical software packages can be complex and tedious. Therefore, the purpose of this paper is to provide novice researchers with a practical tutorial on how to estimate ESEM with a convenient online tool for Mplus. Specifically, we aim to demonstrate the use of ESEM through an illustrative example by using a popular positive psychological instrument: the Mental Health Continuum-SF. By using the MHC-SF as an example, we aim to provide (a) a brief overview of ESEM (and different ESEM models/approaches), (b) guidelines for novice researchers on how to estimate, compare, report, and interpret ESEM, and (c) a step-by-step tutorial on how to run ESEM analyses in Mplus with the De Beer and Van Zy ESEM syntax generator. The results of this study highlight the value of ESEM, over and above that of traditional confirmatory factor analytical approaches. The results also have practical implications for measuring mental health with the MHC-SF, illustrating that a bifactor ESEM Model fits the data significantly better than any other theoretical model.

Satisfaction with orthodontic treatment: cross-cultural adaptation and validation of an instrument for the Brazilian Portuguese language

Objective:

To cross-culturally adapt into the Brazilian Portuguese and evaluate the psychometric properties of an instrument for assessing the satisfaction of parents/guardians regarding their sons’/daughters’ orthodontic treatment.

Methods:

Translations of the instrument from English, pre-test and evaluation of validity and reliability of the Brazilian Portuguese version were performed. The questionnaire has 25 items distributed across 3 subscales (process, psychosocial effect and outcome). Eighty-three parents/guardians of children/adolescents who had completed orthodontic treatment participated. Descriptive statistics and floor and ceiling effects were calculated. Internal consistency, stability (interval of three weeks), convergent construct validity and discriminant construct validity were determined. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) assessed dimensionality.

Results:

Among the 83 parents/guardians, 58 (69.9%) were mothers and 25 (30.1%) were fathers of children/adolescents. In the questionnaire’s total score and the three subscales scores, an acceptable percentage (≤15%) of participants achieved the maximum score (ceiling effect). In the total questionnaire score and in the three subscales scores, no participant achieved the minimum score (floor effect). Cronbach’s α coefficient for the total score was 0.72 (internal consistency). Intra-class correlation coefficient for the total score was 0.71 (stability). The questionnaire’s total score presented large Pearson correlation coefficient (>0.50) with the three subscales too (construct validity). Female parents/guardians had significantly higher scores in the psychosocial effect (p=0.013) and in the treatment outcome (p=0.037) subscales, compared to male parents/guardians (discriminant validity). EFA and CFA confirmed dimensionality in a three-factor solution.

Conclusions:

The final obtained version is valid and reliable to be used in Brazilian populations.

TG: HDL-C Ratio as Insulin Resistance Marker for Metabolic Syndrome in Children With Obesity

Insulin resistance (IR) is an important variable in the diagnosis of metabolic syndrome (MetS). Currently, IR is not part of the existing pediatric definition of MetS, instead elevated fasting blood glucose (FBG) is measured as an indicator of hyperglycemia. Arguably, many obese children with severe IR are still able to regulate their FBG well. Hence, this study aimed to assess the utility of triglyceride-to-high-density lipoprotein cholesterol (TG : HDL-C) ratio as an IR marker in the modeling of pediatric MetS among children with obesity using structural equation modeling (SEM). A total of 524 blood samples from children with obesity (age 10-16 years old) were analyzed for FBG, lipids, insulin, leptin, and adiponectin. Both exploratory (EFA) and confirmatory factor analysis (CFA) were used to examine TG : HDL-C ratio as an IR marker in pediatric MetS. EFA shows that TG: HDL-C ratio (standardized factor loading = 0.904) groups together with homeostasis model assessment-estimated insulin resistance (HOMA-IR) (standardized factor loading = 0.664), indicating a strong correlation to the IR factor. Replacing FBG with TG: HDL-C ratio improved the modeling of MetS structure in children with obesity. Our MetS model of TG: HDL-C ratio as IR component shows comparable model fitness indices (goodness of fit, Akaike's information criterion, and Bayesian information criterion) with leptin:adiponectin ratio (platinum standard for adiposity:IR marker) model. The least model fit was seen when using FBG as an IR surrogate. TG : HDL-C ratio performed better as IR surrogate in MetS structures (standardized factor loading = 0.39) compared to FBG (standardized factor loading = 0.27). TG: HDL-C ratio may be considered as an IR component in pediatric MetS.

Melhores Práticas para sua Análise Fatorial Exploratória: Tutorial no Factor

RESUMO Contexto: a análise fatorial exploratória (AFE) é um dos métodos estatísticos mais utilizados em administração. No entanto, sua prática corrente coexiste com regras de bolso e heurísticas proferidas há meio século. Objetivo: o propósito deste artigo é apresentar as melhores práticas e recomendações recentes para uma AFE típica em administração através de uma solução prática acessível aos pesquisadores. Métodos: nesse sentido, além de serem discutidas as práticas correntes versus as práticas recomendadas, ilustra-se um tutorial com dados reais no Factor, um software ainda pouco conhecido na área de administração, porém freeware, fácil de usar (point and click) e poderoso. O passo a passo ilustrado no artigo, além das discussões levantadas e de um exemplo adicional, também é disponibilizado no formato de vídeos tutoriais. Conclusão: através da metodologia didática proposta (artigo-tutorial + vídeo-tutorial), incentivamos os pesquisadores/metodologistas que dominam alguma técnica particular a fazerem o mesmo. Especificamente sobre a AFE, esperamos que a apresentação do software Factor, como uma primeira solução, possa transcender as regras de bolso e heurísticas correntes ultrapassadas, ao tornar acessíveis as melhores práticas para os pesquisadores da administração.

Best Practices for Your Exploratory Factor Analysis: A Factor Tutorial

ABSTRACT Context: exploratory factor analysis (EFA) is one of the statistical methods most widely used in administration; however, its current practice coexists with rules of thumb and heuristics given half a century ago. Objective: the purpose of this article is to present the best practices and recent recommendations for a typical EFA in administration through a practical solution accessible to researchers. Methods: in this sense, in addition to discussing current practices versus recommended practices, a tutorial with real data on Factor is illustrated. The Factor software is still little known in the administration area, but is freeware, easy-to-use (point and click), and powerful. The step-by-step tutorial illustrated in the article, in addition to the discussions raised and an additional example, is also available in the format of tutorial videos. Conclusion: through the proposed didactic methodology (article-tutorial + video-tutorial), we encourage researchers/methodologists who have mastered a particular technique to do the same. Specifically about EFA, we hope that the presentation of the Factor software, as a first solution, can transcend the current outdated rules of thumb and heuristics, by making best practices accessible to administration researchers.

Psychometric characteristics of the Turkish version of the pain flexibility scale for children with cancer

PURPOSE

This study was conducted to evaluate the validity and reliability of the Pain Flexibility Scale for children with cancer in Turkey.

DESIGN AND METHOD

This was a methodological-descriptive-correlational study conducted on 211 children with cancer. Data were collected using the information form and Pain Flexibility Scale for children with cancer. The data were evaluated using explanatory and confirmatory factor analysis, Cronbach's alpha, split-half, item-total score correlation, and test-retest analysis.

RESULTS

The explained variance rate of the scale, in which factor analysis confirmed the two-dimensional structure, was 85.31%. The factor loads were greater than 0.30, and all fit indices were greater than 0.90. In addition, RMSEA was less than 0.080 and was significant. The total Cronbach's alpha value of the scale was 0.82, and the Cronbach's alpha values of its sub-dimensions were 0.82 and 0.79.

CONCLUSIONS

The Pain Flexibility Scale for children with cancer is a valid and reliable measurement tool for the Turkish sample.

PRACTICE IMPLICATIONS

Pain Flexibility Scale facilitates the development of psychological interventions based on acceptance, which can enable children with cancer to cope more successfully with pain.

Development and Validation of the RAFFLE: A Measure of Reasons and Facilitators for Loot Box Engagement

Qualitative studies have identified a diverse array of motivations for purchasing items within video games through chance-based mechanisms (i.e., "loot boxes"). Given that some individuals-particularly those at risk of disordered gaming and/or gambling-are prone to over-involvement with loot box purchasing, it is important to have a reliable, valid means of measuring the role of different motivations in driving purchasing behaviour. Building on prior qualitative research, this paper reports the development and validation of the "RAFFLE" scale, to measure the Reasons and Facilitators for Loot box Engagement. A 23-item, seven-factor scale was developed through cognitive interviews (n = 25) followed by two surveys of UK-based gamers who purchase loot boxes; analysed via exploratory (n = 503) and confirmatory (n = 1495) factor analysis, respectively. Subscales encompassed "enhancement'; "progression'; "social pressure'; "distraction/compulsion'; "altruism'; "fear of missing out'; and "resale". The scale showed good criterion and construct validity (correlating well with measures of loot box engagement; the risky loot box index (r = 0.63) and monthly self-reported spend (r = 0.38)), and good internal validity (Cronbach's alpha = 0.84). Parallels with, and divergence from, motivations for related activities of gaming and gambling, and alignment with broader theoretical models of motivation, are discussed.

Criteria for Teaching Performance in Psychology: Invariance According to Age, Sex, and Academic Stage of Peruvian Students

The use of scales to assess the performance of professors from the students' standpoint is a generalized practice in higher education systems worldwide. The purpose of this study is to analyze the factorial structure and measure the invariance of the Scale of Teaching Performance of the Psychology Professor (EDDPsic) among groups according to gender, age, and academic stage. The sample of participants was composed of 316 Psychology students from the fourth and sixth semesters (basic cycles), and from the eighth and tenth semesters (disciplinary-professional cycles) of two renowned public universities in Lima, Peru. Two hundred and thirty-one participants were women (73%), and the mean age of students was 21.5 years old (SD = 2.37). The measurement invariance of the scale in the three study variables was underpinned by a multigroup confirmatory factor analysis (MGCFA) conducted using a five-factor model that showed the best fitness indices. It is concluded that significant differences in measuring teaching performance areas of the professor depend on the students' age difference and on their academic stage (to attend the disciplinary-professional cycles).

Information and Communication Technology and Organizational Performance During Covid-19 Pandemic: The Role of Organizational Commitment, Growth Mindset, and Entrepreneurial Orientation

The purpose of this study is to assess how information and communication technology (ICT) adoption influences organizational performance (OP) during the Covid-19 pandemic by highlighting psychometric variables such as employees’ organizational commitment (OC), growth mindset (GM), and entrepreneurial orientation (EO). Based on the complementarity theory, we built a theoretical framework where OC, GM, and EO mediate the influence of ICT on OP and tested hypotheses proposed. Responses of 297 employees from agriculture cooperatives in Côte d’Ivoire were obtained on the basis of questionnaires which composed the data for this study. The empirical analysis affirmed the significant and positive effect of ICT adoption on OP, and the significant mediating effect of OC and GM in the relationship between ICT adoption and OP. However, the role of EO in mediating the influence of ICT adoption on OP is insignificant. This research increases understanding of the underlying process of the relationship between ICT adoption and organizational performance during the Covid-19 pandemic.

The structure of the attitudes toward religion as measured by the Post-Critical Belief Scale: A structural modelling approach

This paper investigates the structure of the Post-Critical Belief Scale (PCBS), which was designed by Hutsebaut (1996) to assess attitudes towards religion according to Wulff’s (1991) model. Existing results suggest ambiguous solutions, with two, three, or four factors, when only the four-factor solution is consistent with Wulff’s theoretical model. In the current study, we examined whether this hypothesized model indeed would be reflected in the data, when the more appropriate, newly-developed, Set-Exploratory Structural Equation modeling (Set-ESEM) is applied. The study was carried out on a sample of 952 participants. The results of the Set-ESEM modeling provided evidence for the good fit of the four-factor structure. Nevertheless, we also identified some shortcomings of the measure and identified items which may be removed in order to increase measurement precision.

Translation and validation of Training Needs Analysis Questionnaire among reproductive, maternal and newborn health workers in Tanzania

Background

Continuous professional development (CPD) has been reported to enhance healthcare workers’ knowledge and skills, improve retention and recruitment, improve the quality of patient care, and reduce patient mortality. Therefore, validated training needs assessment tools are important to facilitate the design of effective CPD programs.

Methods

A cross-sectional survey was conducted using self-administered questionnaires. Participants were healthcare workers in reproductive, maternal, and neonatal health (RMNH) from seven hospitals, 12 health centers, and 17 dispensaries in eight districts of Mwanza Region, Tanzania. The training needs analysis (TNA) tool that was used for data collection was adapted and translated into Kiswahili from English version of the Hennessy-Hicks’ Training Need Analysis Questionnaire (TNAQ).

Results

In total, 153 healthcare workers participated in this study. Most participants were female 83 % (n = 127), and 76 % (n = 115) were nurses. The average age was 39 years, and the mean duration working in RMNH was 7.9 years. The reliability of the adapted TNAQ was 0.954. Assessment of construct validity indicated that the comparative fit index was equal to 1.

Conclusions

The adapted TNAQ appears to be reliable and valid for identifying professional training needs among healthcare workers in RMNH settings in Mwanza Region, Tanzania. Further studies with larger sample sizes are needed to test the use of the TNAQ in broader healthcare systems and settings.

The role of social belonging and exclusion at school and the teacher-student relationship for the development of learned helplessness in adolescents

BACKGROUND

Based on learned helplessness theory and conservation of resources theory, the present study explores the role of schools' social environments (i.e., school belonging, school exclusion, and teacher-student relationships) as potential buffers and amplifiers in students' development of learned helplessness during adolescence.

AIMS

We examine whether school belonging, school exclusion, and teacher-student relationship moderate the longitudinal association of learned helplessness differently for students from low-track schools and high-track schools.

SAMPLE

The study uses a sample of N = 1,088 (M_age  = 13.70, SD = 0.53; 54% girls) adolescent students who participated in a two-wave longitudinal study.

METHODS

We conducted latent moderated structural equation modelling to examine whether school belonging, school exclusion, and teacher-student relationship moderate the longitudinal association of learned helplessness differently for students from low-track schools and high-track schools.

RESULTS

The moderation analyses revealed that students from both school tracks are differently affected by school belonging and school exclusion in their development of learned helplessness. Teacher-student relationship did not moderate the association.

CONCLUSION

Our findings underline the important role of the social environment in students' development of learned helplessness. Particularly, the differential effects found for the different educational tracks highlight the necessary awareness of educators to interindividual differences of their students.

Adaptation of the Educational Motivation Scale Into a Short Form With Multigroup Analysis in a Vocational Training and Baccalaureate Setting

The aim of the present study was to adapt the educational motivation scale into an abbreviated version (EMS-SF), in addition to analyzing its psychometric properties for use with vocational training (VT) and baccalaureate students using structural equations. A cross-sectional and ex post facto study was conducted with a sample of 1,159 students from the autonomous community of Andalusia (Spain). IBM SPSS^® and IBM AMOS^® software programs were used for data analysis. With regard to the main outcomes, the scale reflected good fit indices in its short form, presenting a more parsimonious and easily understood questionnaire. The questionnaire was reduced from a total of 28-19 items. In the same way, the number of dimensions was reduced from seven to four, facilitating scale understanding and interpretation according to self-determination theory. As a main finding, it was observed that the most relevant items for baccalaureate students pertained to the pleasure derived from discovering things and to overcoming challenges, whereas in VT students, items pertaining to the satisfaction generated from exerting effort, achieving one's best and being well paid were more relevant. In conclusion, findings urge the need to strengthen intrinsic motivation in VT students with the aim of avoiding demotivation and poor academic performance.

Translation and validation of body image instruments: An addendum to Swami and Barron (2019) in the form of frequently asked questions

Test adaptation - the translation and validation of source instruments for use in new social identity groups - plays a vital role in body image research. Previously, Swami and Barron (2019) developed a set of good practice recommendations and reporting guidelines for the test adaptation of body image instruments. However, a number of issues in that article were not covered in depth and new issues have emerged as a result of developments in theory and practice. Here, we offer an addendum to Swami and Barron in the form of frequently asked questions. Issues discussed in this article include various methods for achieving good translations, the appropriateness of revising instrument components prior to empirical analyses, determining the number of factors to extract in exploratory factor analyses (EFA), and the usefulness of EFA versus confirmatory factor analyses (CFA) in determining factorial validity. We also cover methods of analyses that have been infrequently utilised by body image scholars, including exploratory structural equation modelling (ESEM), bifactor model analyses, and various methods for establish measurement invariance. When read as an addendum to Swami and Barron, we hope this article helps to clarify issues of importance for body image researchers interested in conducting test adaptation work.

Stressors in Indoor and Field Brazilian Soccer: Are They Perceived as a Distress or Eustress?

Soccer players inescapably live under stress during the sportive career, and many real-life aspects of soccer situations operate in the ongoing performance. This study’s main objective was to elaborate the List of Stressors in Professional Indoor and Field Soccer, a self-report instrument designed to measure the impact of 77 soccer situations upon the sport performance. Participants were 138 indoor and field soccer players from the Brazilian Premier League. Each situation was evaluated on a 7-point scale, ranging from the most negative (−3) to the most positive (+3). Data were analyzed according to the players’ perception of the items: distress or eustress and its intensity, and after that, situations perceived as plus −1 and +1 were compared by time in which they were experienced and distributed among five categories established by the literature: Expectations about the Performance, Personal Factors, Competition Aspects, Training Demands, and Relationship with Significant People. Narratives of athletes’ experiences were also used to discuss the results. An Exploratory Structural Equation Modeling using Bi-factorial (BI-ESEM) was employed to assess the factor structure. For the total participants, 49 situations were perceived as distress and 28 as eustress. Using the criteria established a priori, the distribution was among the five categories in the remaining 32 situations. Differences in perception between less and more experienced players were found in 11 situations. The results revealed that Brazilian professional soccer players experience various stressful situations. These events are important representations of environmental demands and could predict the performance as they are perceived as eustress or distress. Some of these stressful situations are inherent in sport and others adjacent to the sports system or environment. Coach pressure to win and conflicts with teammates are examples of stressors in-sport, family problems and disputes with press or fans are examples of stressors external to the team, also called peripheral opponents, and showed the relative social influence of significant others in soccer performance. We can conclude that the knowledge of the direction of a given stress situation has important practical implications in preparing athletes and helping them face the performance stressors that are part of soccer daily life.

Psychometric Properties of the Exercise Orientation Questionnaire: A Confirmatory Study on Chinese University Students

The Exercise Orientation Questionnaire (EOQ) is a method for evaluating individuals' exercise attitudes and behaviors associated with exercise motivation. A lack of exercise motivation can affect physical activity attitudes, behavior, and action among university students. Physical inactivity may lead to health risks. The purpose of this study was to assess the measurement of psychological properties in the EOQ and to determine the reliability and validity of the EOQ when applied to Chinese university students. A total of 368 university students (male 48.8%) aged between 17 and 23 years (M = 19.60, SD = 1.18) participated in the current study. Confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) were used to verify the factorial validity of the EOQ. The internal consistency coefficient (Cronbach's alpha and McDonald's omega) was used to determine reliability. Multiple regression analysis was used to test concurrent validity. The International Physical Activity Questionnaire (IPAQ) was used to determine the participants' level of physical activity. The range of the subscale coefficient was 0.80–0.89, and the total scale was 0.95, which indicated that the reliability of the EOQ was excellent. The research showed that the initial CFA model of the EOQ had poorly fitting indices. The corrected model after seven residual correlations achieved the setting standard, but the correlation coefficient between some factors exceeded the standard threshold, which indicated that the CFA fitting model was not ideal. ESEM is a combination of exploratory and verifiable analytical techniques. Using ESEM and abbreviated version CFA to analyze the data indicated that the model fitted well [ESEM: TLI = 0.97 > 0.90, CFI = 0.96 > 0.90, SRMR = 0.02 < 0.08, and RMSEA = 0.045 < 0.08 (90% CI 0.033–0.055); CFA: TLI = 0.92 > 0.90, CFI = 0.91 > 0.90, SRMR = 0.08, and RMSEA = 0.06 < 0.08 (90% CI 0.055–0.067)]. The results of multiple regression analysis suggested that the ESEM model was effective in distinguishing the differences between individuals with different levels of physical activity (PAL) and body mass index (BMI). Overall, the Chinese abbreviated version of the EOQ (EOQ-CA) was fond to be a reliable tool for monitoring the exercise attitudes and behaviors of Chinese University students.

Psychometric Properties of Flourishing Scales From a Comprehensive Well-Being Assessment

In this article, we develop a measure of complete well-being. The framework is derived from the theoretical model of human flourishing understood as a state in which all aspects of a human life are favorable. The approach extends beyond psychological well-being and reflects the World Health Organization definition of health that not only considers the health of body and mind but also embraces the wholeness of the person. The Well-Being Assessment (WBA) is a comprehensive instrument designed to assess holistic well-being in six domains: emotional health, physical health, meaning and purpose, character strengths, social connectedness, and financial security. Although each of these domains is distinct, all of them are nearly universally desired, and all but financial security constitute ends in themselves. Data were collected from a representative sample of working adults. A sample of 276 employees participated in the pilot, 2,370 participated in the first wave and 1,209 in the second wave of the survey. The WBA showed a good fitting (40 items, six factors), satisfactory reliability, test-retest correlation, and convergent/discriminant validity in relation to stability over time and relevant health measures, as well as a good fit to the data that were invariant over time, gender, age, education, and marital status. The instrument can be of use for scientists, practitioners, clinicians, public health officials, and patients. Adoption of more holistic measures of well-being that go beyond psychological well-being may help to shift the focus from health deficiencies to health and well-being promotion.

Do self-criticism and somatic symptoms play a key role in chronic depression? Exploring the factor structure of Beck depression inventory-II in a sample of chronically depressed inpatients

BACKGROUND

The factor structure of depression differs for different sub-samples. The purpose of this study was to explore the factor structure of Beck Depression Inventory-II in patients with chronic depression presenting for inpatient treatment.

METHODS

Using exploratory structural equation modeling (ESEM), we explored whether a two-factor solution or a bifactor solution provided best model fit for a sample of 377 patients. For the best fitting model stability was assessed with tests for invariance across primary diagnosis (persistent depressive disorder v. recurrent major depressive disorder), and presence of comorbidity.

RESULTS

A bifactor solution with one general factor and two specific factors provided best model fit. Invariance analyses provided support for measurement invariance and stability of the factor solution.

LIMITATIONS

The naturalistic study design implies some uncertainty regarding possible systematic differences between the patients on demographic and clinical characteristics.

CONCLUSION

The factor structure in our sample was best explained by a general depression factor, one specific factor pertaining to self-criticism, and one consisting of the somatic items fatigue, disturbance of sleep, and appetite. Clinicians could benefit from paying special attention to the subfactors identified, as these findings may have implications for treatment choice for patients with chronic depression.

A systematic decision making for functional training in competitive sports training

Decision-making is a vital aspect of any sport and competitive success, in particular open, strong, competitive team sports like soccer, volleyball, basketball, and rugby. However, in the notational analysis, it has largely ignored. To successfully win in any game and compete in every sport for individuals and teams at the national and international level, all success factors must be reconsidered to ensure a better winning decision. Hence, in this paper, Exploratory Hybridized Structural Equation Modeling Framework (HSEMF) has been proposed for decision making on functional training competitive sports training. The training environment will allow competitors to weigh up their options, determine, and mistake. However, the main feature of the environment is that athletes must be informed if they make mistakes to ensure that they do not take part in the future. The feedback should be provided to improve the performance of the athlete. The decision accuracy and performance indicators have been evaluated. Overall, the results did not show a causal relationship between changes in decision making after implementing the learning modules. However, it has provided moderate evidence of improved reaction time due to the learning modules for decision-making.

Ascertaining service quality and medical practitioners' sensitivity towards surgical instruments using SERVQUAL

Purpose

Service quality (SQ) has become an essential and indispensable component in healthcare and many other industries. SQ can deliver guaranteed stakeholder value and consequent consumer delight in the healthcare sector. The purpose of this study is to identify the relationships of various SERVQUAL elements with respect to the SQ of surgical instrument suppliers among surgeons.

Design/methodology/approach

Data were collected from a sample of 112 surgeons working in the USA using the “snowball sampling” technique. A few standardised questionnaires, including SERQUAL, were used to collect the data. R-programming was used to perform structural equation modelling (SEM) analysis on the collected data.

Findings

The research study identified that service delivery factors and the SQ of surgical instruments contribute significantly towards medical practitioner sensitivity in the US healthcare industry. Word of mouth (WOM) did not have any significant impact on the medical practitioners' sensitivity.

Originality/value

A review of related literature revealed that studies that examine the surgeon's perspectives of SQ are scarce. Thus, the present study is directed towards this gap in literature. The findings of the study are significant in nature and have made a substantial contribution to management literature.

A study on key lean enablers of the coal mining sector using ISM, MICMAC and SEM

Purpose

The purpose of this research is to identify and study the contextual relationships of the significant lean enablers in the Indian coal mining industry using the application of interpretive structural modeling (ISM), matrice d' impacts croisés-multiplication appliquée á un classement (MICMAC) and structural equation modeling (SEM).

Design/methodology/approach

In this study, a conceptual model based on ISM was developed forming a hierarchy and contextual relationships of significant enablers for lean implementation in the Indian coal mining industry using a literature review and eliciting expert opinion, which is followed by MICMAC for grouping of enablers and questionnaire survey to validate the ISM based conceptual model using SEM.

Findings

The study modeled and analyzed ten significant enablers of lean implementation in the Indian coal mining industry. The findings suggest that the most important lean enablers in the Indian coal mining industry are employee empowerment, employee motivation and commitment, consistent financial performance measurement and management support.

Research limitations/implications

Judgmental sampling was used for selecting the respondents for conducting the questionnaire survey in this research work as there are a few numbers of coal mines implementing lean principles in India. Although the study was not restricted to a particular part of India with the sample representing the heterogeneous population, the study represents more data from the coal mines in eastern India.

Practical implications

The model on lean enablers would help the researchers, decision-makers and practitioners to anticipate potential lean enablers in the Indian coal mines and rank the enablers for improved and efficient usage of the available resources creating value to customers with lean and to sustenance academic research on lean.

Originality/value

Studies on lean enablers in the mining sector are scarce in the literature, and this study is a novel contribution of exploring lean enablers in the Indian coal mining industry using an integrated approach of ISM–MICMAC and SEM.

Convergent and Discriminant Validities of SCBE-30 Questionnaire Using Correlated Trait-Correlated Method Minus One

Correlated trait–correlated method minus one was used to evaluate convergent and discriminant validity of Social Competence Behavior Evaluation questionnaire (Social Competence, Anger-Aggression, Anxiety-Withdrawal) between multiple raters. A total of 369 children (173 boys and 196 girls; M_age = 55.85, SD_age = 11.54) were rated by their mothers, fathers, and teachers. Results showed more convergence between parents than parent-teacher ratings. Mother-teacher share a common view of child behavior that is not shared with father. Parents had more difficulty distinguishing internalizing and externalizing behaviors (especially fathers). Measurement invariance across child sex was explored, results imply that differences between boys and girls were not due to measure. Girls (compare to boys) were described as more social competent by their fathers and teachers, while boys as more aggressive by mothers and teachers.

Modeling human thinking about similarities by neuromatrices in the perspective of fuzzy logic

In this work, we propose a new method for modeling human reasoning about objects’ similarities. We assume that similarity depends on perceived intensities of objects’ attributes expressed by natural language expressions such as low, medium, and high. We show how to find the underlying structure of the matrix with intensities of objects’ similarities in the factor-analysis-like manner. The demonstrated approach is based on fuzzy logic and set theory principles, and it uses only maximum and minimum operators. Similarly to classic eigenvector decomposition, we aim at representing the initial linguistic ordinal-scale (LOS) matrix as a max–min product of other LOS matrix and its transpose. We call this reconstructing matrix a neuromatrix because we assume that such a process takes place at the neural level in our brain. We show and discuss on simple, illustrative examples, how the presented way of modeling grasps natural way of reasoning about similarities. The unique characteristics of our approach are treating smaller attribute intensities as less important in making decisions about similarities. This feature is consistent with how the human brain is functioning at a biological level. A neuron fires and passes information further only if input signals are strong enough. The proposal of the heuristic algorithm for finding the decomposition in practice is also introduced and applied to exemplary data from classic psychological studies on perceived similarities between colors and between nations. Finally, we perform a series of simulation experiments showing the effectiveness of the proposed heuristic.