Exploratory Factor Analysis Modeling Research Articles

호텔, 외식, 관광 전공 대학생의 감성지능이 창의성과 문제해결능력에 미치는 영향

This study aimed to suggest implications for enhancing creativity and problem-solving abilities by examining how the emotional intelligence of university students majoring in hotel, foodservice, and tourism influences problem-solving abilities through creativity. Based on previous research, emotional intelligence was divided into four sub-factors: self-emotion appraisal, others' emotion appraisal, use of emotion, and regulation of emotion. The relationships between these sub-factors, creativity, and problem-solving abilities were explored. A convenience sampling method was used to select 285 university students majoring in hotel, foodservice, and tourism from three universities located in Gyeonggi-do and Chungcheongnam-do. A questionnaire created using Google Forms was distributed via mobile phone, and 250 responses were collected. The collected data were analyzed using exploratory factor analysis and structural equation modeling with SPSS 29.0 and AMOS 23.0 programs. The results showed that all four sub-factors of emotional intelligence had significant effects on creativity. Additionally, it was found that creativity had a significant effect on problem-solving abilities. This study is theoretically significant in that it expands the scope of previous research by empirically verifying the relationships between emotional intelligence, creativity, and problem-solving abilities. Practically, it suggests that universities should provide leadership education, creative activities, psychological counseling, club activities, and interpersonal skill improvement programs to promote the understanding of emotions in both oneself and others. Furthermore, it indicates that creative teaching methods and conducive teaching environments are necessary to enhance the creativity of university students.

Unveiling the entrepreneurial mindset: exploring orientation and intentions among students of prominent engineering disciplines

The advent of Industry 4.0 presents a spectrum of challenges for entrepreneurs in India, demanding specific skills and resources. Within this transformative landscape, engineering disciplines assume a pivotal role in navigating the complexities of the new industrial revolution yet pose challenges in instilling entrepreneurial skills. While universities are recognised for fostering entrepreneurial skills, a gap persists in comprehending students’ intentions to pursue entrepreneurship after completing their studies, especially within technical education systems. This emphasises the necessity for a comprehensive examination of variations in entrepreneurial orientation among diverse engineering disciplines. The study employed cross-sectional research and surveyed 370 final-year engineering students from leading engineering colleges in Karnataka, India. The data analysis included Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM). The findings demonstrate a significant propensity for entrepreneurship among engineering students, highlighting attributes such as innovativeness, risk-taking, and proactiveness. However, contrary to expectations, the study does not discern distinct entrepreneurial orientations across different engineering disciplines. Importantly, it unveils that college education has minimal influence on students’ entrepreneurial intentions.

Factors associated with antiretroviral treatment adherence among people living with HIV in Guangdong Province, China: a cross sectional analysis

BackgroundUnderstanding factors associated with antiretroviral treatment (ART) adherence is crucial for ART success among people living with HIV (PLHIV) in the “test and treat” era. Multiple psychosocial factors tend to coexist and have a syndemic effect on ART adherence. We aimed to explore factors associated with ART adherence and the syndemic effect of multiple psychosocial factors on ART adherence among PLHIV newly starting ART in Guangdong Province, China.MethodsNewly diagnosed PLHIV from six cities in Guangdong Province were recruited between May 2018 and June 2019, and then followed up from May 2019 to August 2020. Baseline and follow-up data were collected from a questionnaire and the national HIV surveillance system, the follow-up data of which were analyzed in this study. A Center for Adherence Support Evaluation (CASE) index > 10 points was defined as optimal ART adherence, which was measured via participants’ self-reported adherence during follow-up survey. Multivariable logistic regression was used to identify factors associated with ART adherence. Exploratory factor analysis (EFA) and multi-order latent variable structural equation modeling (SEM) were performed to explore the syndemic effect of multiple psychosocial factors on ART adherence.ResultsA total of 734 (68.53%) follow-up participants were finally included in this study among the 1071 baseline participants, of whom 91.28% (670/734) had self-reported optimal ART adherence. Unemployment (aOR = 1.75, 95%CI: 1.01–3.02), no medication reminder (aOR = 2.28, 95%CI: 1.09–4.74), low medication self-efficacy (aOR = 2.28, 95%CI: 1.27–4.10), low social cohesion (aOR = 1.82, 95%CI: 1.03–3.19), no social participation (aOR = 5.65, 95%CI: 1.71–18.63), and ART side effects (aOR = 0.46, 95%CI: 0.26–0.81) were barriers to optimal ART adherence. The EFA and second-order latent variable SEM showed a linear relationship (standardized coefficient = 0.43, P < 0.001) between ART adherence and the latent psychosocial (syndemic) factor, which consisted of the three latent factors of medication beliefs and self-efficacy (standardized coefficient = 0.65, P < 0.001), supportive environment (standardized coefficient = 0.50, P < 0.001), and negative emotions (standardized coefficient=-0.38, P < 0.01). The latent factors of medication beliefs and self-efficacy, supportive environment, and negative emotions explained 42.3%, 25.3%, and 14.1% of the variance in the latent psychosocial factor, respectively.ConclusionsAbout nine out of ten PLHIV on ART in Guangdong Province self-reported optimal ART adherence. However, more efforts should be made to address barriers to optimal ART adherence.

Development and psychometric evaluation of a questionnaire to measure university students' knowledge on the effects of alcohol use during pregnancy.

Alcohol consumption during pregnancy can lead to fetal alcohol spectrum disorders. This study developed and validated a questionnaire to assess university students' knowledge regarding the effects of alcohol during pregnancy. We designed an instrument with true-false-I do not know statements. Initially, 45 true statements were formulated and subjected to content validation by 19 experts. Based on the Content Validity Index (CVI), 17 items were selected. The instrument, called the Fetal Alcohol Consequences Test (FACT), was first assessed by 31 university students for the level of understanding. Then, the questionnaire was administered to a national Brazilian sample of university students, and an Exploratory Factor Analysis (EFA) was conducted. Each correct FACT answer was worth 1 point, and the knowledge was categorized as high (total score ≥ 80%), moderate (score between 60 and 79%), and low (score ≤ 59%). When the questionnaire was being designed, the CVI values ranged from 0.779 to 1.0, and all statements were considered suitable by the target audience. For psychometric evaluation, 768 students from 24 Brazilian states participated. In the EFA, five statements were removed, revealing a tool with 12 items and two latent factors: "fetal alcohol spectrum disorders" and "conceptions and guidance on alcohol consumption during pregnancy." The KMO index (0.76426) and Bartlett's sphericity test (6362.6, df = 66, p < 0.00001) both supported the final EFA model. The goodness-of-fit indices for the factor structure were adequate: χ2 = 119.609, df = 43, p < 0.00001; RMSEA = 0.048; CFI = 0.977; TLI = 0.965. The mean total FACT score among participants was 7.71 ± 2.98, with a median of 8; 32.03% of the students had high (10-12 points), 24.09% moderate (8-9 points), and 43.88% low knowledge (<8 points). The questionnaire proved reliable, with a floor effect of 1.17%, a ceiling effect of 9.25%, and a Cronbach's alpha index of 0.798. The FACT can be utilized in university students' health education processes, contributing to greater knowledge and information dissemination about the effects of alcohol during pregnancy, in addition to the formulation of policies on the subject directed to this group of young adults.

Exploring the influence of divergent thinking on social innovation in the micro-entrepreneurial context: Evidence from Poland

This article explores the link between divergent thinking skills and the capacity of micro-entrepreneurs to implement social innovations. Drawing on Guilford's Structure of Intellect theory and the Oslo Manual's 4th version, the study employs quantitative research on 1848 Polish micro-entrepreneurs. Through exploratory factor analysis and probit model estimation, findings indicate that three aspects of divergent thinking—Fluency, Flexibility, and Development—positively influence social innovativeness. Fluency and Flexibility align with Guilford's theory, while Development - which is our proposal - reflects micro-entrepreneurs engagement in the thinking process. This study underscores the need for further research to solidify the observed relationship.

Deterrents to the IoT for smart buildings and infrastructure development: A partial least square modeling approach

Implementing Internet of things (IoT) technology in the context of intelligent buildings and infrastructure development has garnered significant attention within the construction sector. Nonetheless, the implementation of IoT could be improved by assessing various barriers. The purpose of this study was to examine the obstacles related to the adaptation of IoT techniques within the construction sector, as well as the effects on the advancement of intelligent building and infrastructure systems. The study employed a mixed-method approach involving exploratory factor analysis (EFA) and structural equation modeling (SEM) to determine six types of barriers: knowledge, technical, standardization, creativity, complexity, and economics. The study revealed that the implementation of IoT for developing smart construction and infrastructure in the construction sector was significantly influenced by all six constructs. The results of this study offer significant ramifications for the field. The study underscores the necessity for heightened consciousness and instruction regarding the advantages of implementing IoT. The study posits that the technical barriers, including interoperability, modernization of legacy infrastructure, and coordination and collaboration difficulties, require attention from the industry. The study highlights the significance of establishing industry-wide standards and protocols for implementing IoT and regulatory and legal frameworks. Finally, the study underscores the necessity for augmented funding and financing options for IoT endeavors. Subsequent study endeavors may expand upon the present findings by delving into the barriers encountered by alternative sectors and nations and assessing the efficacy of the suggested measures in this investigation.

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.

An examination of the potential core symptoms of posttraumatic stress disorder: What is integral after removing general psychopathology & distress?

Many confirmatory factor analyses (CFA) have examined the structure of posttraumatic stress disorder (PTSD) with some suggesting increased complexity (i.e., 6+ factors), while others suggesting a more refined structure (i.e., 2-factors). These competing PTSD structures may be due to conflation of non-trauma specific symptoms that have been added overtime. However, none of these studies examined if all symptoms being examined are specific to PTSD or potentially more related to general distress and psychopathology. The current study re-evaluated the structure of PTSD using bifactor exploratory factor analysis (EFA) to identify the construct's core symptoms. Data for EFA models were taken from a sample of Veterans (N = 694) attending outpatient therapy for PTSD and were cross-validated using CFA in a sample of 297 Veterans attending residential treatment. Clinician Administered PTSD Scale for DSM-5 (CAPS-5) at pre-treatment was used across sample. Factor analyses resulted in a 2-factor, bifactor model comprised of eight total items. Model fit was robust, RMSEA = 0 [0.000, 0.036]; robust CFI = 1; robust TLI = 1.017. The bifactor analytic approach captured what might be the core structure of PTSD, which were pathognomonic symptoms of PTSD (Factor one). A distinct second factor related to depression was also found. In identifying this structure, the model eliminates redundancies and lesser performing items and differentiates depressive reactions as potentially distinct and separate. Overall, these findings may assist in future research of PTSD by determining the unique elements of the construct within a veteran sample versus associated features, general psychological distress, and comorbid psychopathology.

Q-Herilearn: Assessing heritage learning in digital environments. A mixed approach with factor and IRT models.

The assessment of heritage learning in digital environments lacks instruments that measure it with sufficient guarantees of accuracy, validity, and reliability. This study attempts to fill this gap by developing an instrument that has shown solid metric qualities. The process of design and calibration of a scale applied to 1,454 participants between 19 and 63 years of age is presented in this article. Exploratory factor analysis (Exploratory Structural Equation Modeling ESEM) and Item Response Theory models (Graded Response Model GRM) were used. Sufficient evidence of both reliability and validity based on content and internal structure was obtained. Invariance of scores as a function of gender and age of participants has also been demonstrated. The discrimination parameters of the items have been found to be high, and the test information curves have shown that the subscales measure with sufficient precision wide ranges of the respective latent variables. The instrument presents wide possibilities of application to various areas of Heritage Education (e.g., design of programs in HE, definition and planning of teaching objectives, evaluation of programs, etc., in virtual environments).

Enhancing disaster management effectiveness: An integrated analysis of key factors and practical strategies through Structural Equation Modeling (SEM) and scopus data text mining

In the 21st century, the surge in natural and human-induced disasters necessitates robust disaster management frameworks. This research addresses a critical gap, exploring dynamics in the successful implementation and performance monitoring of disaster management. Focusing on eleven key elements like Vulnerability and Risk Assessment, Training, Disaster Preparedness, Communication, and Community Resilience, the study utilizes Scopus Database for secondary data, employing Text Mining and MS-Excel for analysis and data management. IBM SPSS (26) and IBM AMOS (20) facilitate Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM) for model evaluation.The research raises questions about crafting a comprehensive, adaptable model, understanding the interplay between vulnerability assessment, training, and disaster preparedness, and integrating effective communication and collaboration. Findings offer actionable insights for policy, practice, and community resilience against disasters. By scrutinizing each factor's role and interactions, the research lays the groundwork for a flexible model. Ultimately, the study aspires to cultivate more resilient communities amid the escalating threats of an unpredictable world, fostering effective navigation and thriving.

Development and preliminary validation of the Clinician Affective REsponse (CARE) scale.

The present study reports on the development and validation of the clinician affective response (CARE) scale. The CARE scale was designed as a self-report measure of therapists' patterns of thoughts, feelings, and behaviors toward the patient during an individual psychotherapy session. An initial pool of 116 items was generated, and its quality was evaluated by subject matter experts. Validation data were gathered from licensed psychotherapists (n=554). We used exploratory factor analysis and item response theory-graded response modeling to select items, confirmatory factor analysis to test how well the factor structure fit the data, and k-fold cross-validation to ascertain the robustness of the model. Criterion validity was evaluated by correlating the scores of the scale with the characteristics of therapists, patients, and treatment. The selected model consists of 15 items and a 3-factor structure, which showed excellent model fit, good internal consistency, and evidence of criterion validity. The CARE scale, short and quick to complete, enables therapists to reflect on and recognize their inner experiences and quantify these experiences in ways conducive to statistical analysis and research. Furthermore, the monitoring of these affective reactions toward their patients can guide therapeutic interventions and inform clinical supervisors.

Dimensions of Entrepreneurial Orientation and Marketing Performance: The Moderating Effect of Market Turbulence

Purpose: This study is to understand how the marketing performance of used car showroom SMEs is related to the entrepreneurial orientation of used car showroom SME owners or managers as well as the moderating influence of market turbulence. Theoretical Framework: The key points and emphasizing the importance of understanding the dynamic relationship between entrepreneurial orientation, marketing performance, and market turbulence in the context of used car showroom SMEs. Methods: This study used quantitative research methods through surveys. The used car showroom SMEs analyzed are in the DKI Jakarta, Bogor, Depok, Tangerang and Bekasi Indonesia areas. Data was collected through questionnaires that had been compiled in a structured manner. Of the 290 questionnaires distributed, 289 returned questionnaires were used in data analysis. Analysis is carried out through exploratory factor analysis (EFA) and structural equation modeling (SEM). Results and Conclusion: Research findings show that innovativennes, proactive have an influence on product marketing performance (p &lt; 0.05). Meanwhile, risk taking did not have a significant effect on marketing performance (p &gt; 0.05). In addition, market turbulence moderates negatively the relationship between innovation and marketing performance, but market turbulence is unable to moderate the relationship between proactive and risk taking on marketing performance. The results of this study provide a new understanding for used car SMEs in Indonesia, especially in JABODETABEK. Research implications: The practical implication of this research is that in the used car showroom business, it is important for companies to develop dynamic capabilities that include innovation, proactivity, and readiness in take risks. Originality/value: The ability to understand the entrepreneurial orientation of SMEs will help them deal with uncertain market turmoil be it in competition, technological advancements, ever-changing customer preferences.

Educational innovation practices in primary and secondary schools during the COVID-19 pandemic

PurposeDue to the coronavirus 2019 (COVID-19) pandemic, primary and secondary schools worldwide are deploying online teaching/learning practices, fostering and thus innovation practices. The purpose of this study is to determine the degree to which practices reflecting educational innovation are implemented in the Greek public primary and secondary schools operating under conditions characterized by the COVID-19 pandemic. Determining the relationship among these educational innovation practices is also an aim of the present study.Design/methodology/approachA research study was conducted in the Greek public primary and secondary schools. 522 teachers fully completed a structured questionnaire. Descriptive statistics, exploratory factor analysis and structural equation modeling were applied to analyze the data.FindingsThe findings reveal that administration-related innovation practices, teaching-related innovation practices and online teaching/learning practices are implemented to some extent in primary and secondary schools in Greece, but there is still scope for continued development. The online teaching/learning practices set the foundations for further developing a culture of fully adopting other educational innovation practices in these schools to improve education.Originality/valueLimited research concerning educational innovation practices has focused on primary and secondary schools. The need for more studies on teaching and learning innovations that have resulted from the COVID-19 crisis is highlighted by the literature. The results of this study support the fact that online teaching/learning implemented in primary and secondary schools is positively associated with administration-related and teaching-related innovation practices, concluding that this forced change in the educational process can act as a catalyst for more changes and innovative actions.

Contextualizing the revised Patient Perception of Patient-Centeredness (PPPC-R) scale in primary healthcare settings: a validity and reliability evaluation study

BackgroundAn English version of the Patient Perception of Patient-Centeredness (PPPC) scale was recently revised, and it is necessary to test this instrument in different primary care populations.AimThis study aimed to assess the validity and reliability of a Chinese version of the PPPC scale.DesignA mixed method was used in this study. The Delphi method was used to collect qualitative and quantitative data to address the content validity of the PPPC scale by calculating the Content Validity Index, Content Validity Ratio, the adjusted Kappa, and the Item Impact Score. Confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) were used to assess the construct validity of the PPPC scale through a cross-sectional survey. The internal consistency was also assessed.Setting/participantsIn the Delphi consultation, seven experts were consulted through a questionnaire sent by email. The cross-sectional survey interviewed 188 outpatients in Guangzhou city and 108 outpatients in Hohhot City from community health service centers or stations face-to-face.ResultsThe 21 items in the scale were relevant to their component. The Item-level Content Validity Index for each item was higher than 0.79, and the average Scale-level content validity index was 0.97 in each evaluation round. The initial proposed 4-factor CFA model did not fit adequately. Still, we found a 3-factor solution based on our EFA model and the validation via the CFA model (model fit: {chi }^{2}=294.573, P < 0.001, RMSEA = 0.044, CFI = 0.981; factor loadings: 0.553 to 0.888). Cronbach's α also indicated good internal consistency reliability: The overall Cronbach's α was 0.922, and the Cronbach's α for each factor was 0.851, 0.872, and 0.717, respectively.ConclusionsThe Chinese version of the PPPC scale provides a valuable tool for evaluating patient-centered medical service quality.

The impact of managers’ emotional intelligence on transformational leadership styles in firms

The effectiveness of an organization is significantly influenced by the leadership styles used (Almahasneh et al., 2023). This study aims to investigate how the emotional intelligence (EI) of managers affects transformational leadership styles in North Central Vietnamese enterprises. With data from 632 samples — managers — exploratory factor analysis (EFA) and structural equation modeling (SEM) were used to define the study problem using the quantitative approach. The findings demonstrate that through the intermediary components of employee knowledge sharing at work and corporate social responsibility, managers’ EI has both direct and indirect impacts on transformational leadership style. Furthermore, information sharing has been shown to have a positive impact on corporate social responsibility toward employees and a negative impact on opportunistic behavior. Based on the findings, several recommendations are proposed to enhance and promote the effectiveness of transformational leadership styles for managers. Considering the social implications and the practicality of the research, stakeholders should push for solutions that would ensure transformational leadership styles for managers. The study’s findings contribute to our understanding of leadership and are particularly useful for teams working in Vietnamese and other Asian firms.

Presenting an Indigenous Model of Brand Loyalty in the Retail Industry

Objective: The main objective of this research was to "design a suitable marketing model based on brand loyalty in the retail industry," with the question posed as "what is a suitable marketing model based on brand loyalty in the retail industry?" Methodology: A mixed-method approach, combining qualitative and quantitative methodologies, was utilized to answer this question. Initially, key components of the marketing model based on brand loyalty were identified through sequential exploratory design (thematic analysis method) via interviews. Subsequently, the research questions were examined through the collection of quantitative data. Thus, the measurement tool in the qualitative method was in-depth and semi-structured interviews, and in the quantitative method, it was a questionnaire. The population studied in the qualitative method consisted of experts, and in the quantitative method, individuals knowledgeable about marketing and the retail industry. For sampling in the qualitative method, 21 experts were selected using purposive sampling, and for the quantitative method, 384 individuals were selected using cluster sampling initially, followed by stratified random sampling after selecting the cluster to be studied. Ultimately, thematic analysis was used to code the responses obtained from the interviews (as part of qualitative analysis), and exploratory factor analysis and structural equation modeling were used to extract and analyze the empirical data (as part of quantitative analysis). Findings: The findings from the qualitative analysis indicated that the majority of experts (18 individuals) mentioned "the absence of after-sales services," and (17 individuals) mentioned "the high price of the dollar." The findings from the quantitative analysis revealed that the model used in the current research had a satisfactory fit, and the researcher-developed questionnaire contained eight factors: brand heritage, customer satisfaction, brand reliability, brand's association with positive topics, brand belief, brand familiarity, brand distinctiveness, and brand loyalty. It was ultimately argued that brand heritage, with the mediating role of variables such as brand's association with positive topics (with an effect size of 0.69), brand familiarity (with an effect size of 0.41), brand belief (with an effect size of 0.37), customer satisfaction (with an effect size of 0.36), and brand distinctiveness (with an effect size of 0.27), effectively influences brand loyalty. Other variables, having an effect size of less than 0.2, were not significant. Conclusion: Given that no model for presenting an indigenous brand loyalty model in the retail industry has been provided in Iran so far, there are many gaps in various aspects for this industry. Based on conducted interviews, there are essential prerequisites for the formation and expansion of these products, without which marketing these products in this industry would be ineffective. Marketing in this industry requires a series of events and appropriate principles to create a connection between brand heritage and brand loyalty by the customer; otherwise, it would not be possible to loyalty customers through this industry.

FACTORS INFLUENCING AIR CARGO POLICY DECISIONS AND IMPLEMENTATION IN NIGERIA: A STAKEHOLDER’S PERSPECTIVE

Policies are supposedly made such that their implementation for present growth does not hamper future development. However, it has been challenging to effectively implement some policy decisions based on stakeholders’ reactions to their sustainability in the air cargo industry. This paper examined the factors affecting air cargo policy decisions and their implementation in Nigeria by employing the quantitative research method and conducting a survey of stakeholders by random sampling at the Lagos International Airport through a well-designed research questionnaire. The data collected were analyzed using exploratory factor analysis (EFA) and partial least square structural equation modeling (PLS-SEM). Before estimating the PLS-SEM model, latent factors were constructed using EFA. The results reveal that the factors affecting the air cargo policy decisions and implementation include the policy formulation process, stakeholders’ interests and commitment, policy goals and implementation, and corruption and governance. The results imply that fundamental public policy issues prevail in Nigeria’s air cargo sector development programs. This study provides insight into the reasons behind opposition to implementing certain air cargo policy decisions in Nigeria. It offers directions for addressing the problems of poor policy decisions that do not guarantee future development. In practice, the study advocates the all-inclusive stakeholders’ involvement in Nigeria’s policy formulation process for the air cargo industry.

Validity and Reliability of Lecturer Leadership Styles Questionnaires

In the modern age, leadership is one of the teaching competencies in teaching and learning that influences students’ engagement in higher learning. However, leadership styles demonstrated by lecturers may be interpreted differently across different cultures and populations. Hence, there is a need to establish new instrumentation with strong validity and reliability evidence of lecturer leadership styles questionnaire according to the sample size, language, and acceptance of respondents. This study involved undergraduate students of the Faculty of Sport Science, UiTM from the Arau, Shah Alam, Seremban 3, and Jengka campuses. There are 410 undergraduate students involved in this study. There are 44 items of the Lecturer Leadership Styles Questionnaire undergone the process of constructing validity and reliability by employing the Exploratory Factor Analysis (EFA) and Cronbach Alpha model. After going through the process, 37 items of the Lecturer Leadership Styles Questionnaire were accepted and the rest were dropped out. To verify the factor structure of a set of observed variables, Confirmatory Factor Analysis (CFA) was employed in the Leadership Styles Questionnaire. CFA analysis depicted the sample data fit the measurement model of Leadership Styles (RMSEA = .050, GFI = .942, AGFI = .917, TLI = .983, NFI = .969). In a nutshell, the Lecturer Leadership Styles Questionnaire instrument with strong validity and reliable evidence can be used for further study in a similar setting.

A multi-sample evaluation of the measurement structure and function of the modified monetary incentive delay task in adolescents

Interpreting the neural response elicited during task functional magnetic resonance imaging (fMRI) remains a challenge in neurodevelopmental research. The monetary incentive delay (MID) task is an fMRI reward processing task that is extensively used in the literature. However, modern psychometric tools have not been used to evaluate measurement properties of the MID task fMRI data. The current study uses data for a similar task design across three adolescent samples (N = 346 [Agemean 12.0; 44 % Female]; N = 97 [19.3; 58 %]; N = 112 [20.2; 38 %]) to evaluate multiple measurement properties of fMRI responses on the MID task. Confirmatory factor analysis (CFA) is used to evaluate an a priori theoretical model for the task and its measurement invariance across three samples. Exploratory factor analysis (EFA) is used to identify the data-driven measurement structure across the samples. CFA results suggest that the a priori model is a poor representation of these MID task fMRI data. Across the samples, the data-driven EFA models consistently identify a six-to-seven factor structure with run and bilateral brain region factors. This factor structure is moderately-to-highly congruent across the samples. Altogether, these findings demonstrate a need to evaluate theoretical frameworks for popular fMRI task designs to improve our understanding and interpretation of brain-behavior associations.

The impact of training and development facilities on job commitment among entry-level employees: Bangladeshi RMG perspectives

Purpose: The study intended to ascertain whether providing training and development facilities positively impacted the job commitment of entry-level garment employees in Bangladesh. Research Methodology: The response rate for the survey was 44.89%, derived from a sample size of 450 data points obtained by a basic random sampling technique. The study employed Microsoft Excel 2007, SPSS 22.0, and AMOS 23.0 to conduct exploratory and confirmatory factor analysis and structural equation modeling to assess the strength and reliability of the suggested research framework. Results: The study revealed a significant enhancement in the level of commitment among lower-level employees in the Bangladeshi garment industry when provided with training and development potential. Limitations: One primary constraint encountered in this study pertained to issues associated with data collection. The target demographic consists exclusively of individuals with lower levels of educational attainment. Allocating funds for research in finance remained a significant area of focus. As a result of these limitations, the survey was unable to gather nationwide data. Contribution: This study is distinctive as it focuses on individuals occupying lower-level positions within the Bangladeshi garment sector, exploring the potential avenues for professional advancement. Practical Implication: The study may benefit Bangladeshi garment firms' HR strategy and training and development plans. Environmental and internal variables can stress workers. Professional progress and quality training will help dedicated workers overcome these challenges. Novelty: The study is unique in two perspectives: the bottom-level employees and the emerging economy like Bangladesh.