The effectiveness of e-entrepreneurship training programs in the emerging markets (GCC)

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Factor Analysis ◽  
Emerging Markets ◽  
Statistical Data ◽  
Training Programs ◽  
Great Influence ◽  
Educational Institutions ◽  
Actual Process ◽  
Validity And Reliability ◽  
Entrepreneurship Training ◽  
Gulf Countries

The study aimed to examine the effectiveness of e-entrepreneurship training programs (EETP) content (curriculum), EETP period, EETP trainers (instructors – individual mentor’s role) and EETP candidates’ input (involvement and contribution)) in the higher educational institutions (HEI) in the emerging markets (EM) particularly in the Gulf Countries Council (GCC). The survey instrument was pre-tested to establish its validity and reliability and the quantitative statistical data that emerged from the administration of the survey were analyzed using t-tests, factor analysis, and analysis of variance and correlations (ANOVA). the study concluded that the curriculum defines the experiences presented to the learner, hence the great influence on curriculum effectiveness. Instructors also are the actual implementers of the curriculum. Additionally, they guide students in the actual process. Their role reflects their influence on the effectiveness of EETP.

Initial Development and Validation of the Multilingual Education Scale

2019 ◽  
Vol 28 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Fatma Dogan ◽  
Hasan Aydin
Keyword(s):  
Factor Analysis ◽  
Pilot Study ◽  
Internal Consistency ◽  
Future Development ◽  
Educational Institutions ◽  
Single Factor ◽  
Validity And Reliability ◽  
Initial Development ◽  
Multilingual Education ◽  
Development And Validation

Applicability of multilingual education, which is applied in many countries, has increasingly proficiency and learning been a question of debate in Turkey because of the inclusion of living languages and dialects lessons into educational institutions. The purpose of this study is to develop a valid and reliable Likert-type scale to determine the perception of multilingual education of teachers with the inclusion of living languages and dialects lesson into curricula. For this purpose, a study was conducted with teachers in Turkey. After the instrument was constructed based on the literature, field experts evaluated it, and revisions were made to clarify the language and the design. Following this process, a pilot study was conducted among 150 teachers, resulting in a scale comprising 28 items after the alterations were made. Then, the instrument was sent to 898 teachers utilizing a snowball technique. Exploratory factor analysis was applied to determine the validity of the scale. Factor analysis showed that the scale had a single factor explaining 72.4% of the total variance. The scale’s KMO (Kaiser-Meyer-Olkin) was .974; and the Barlett test was 21828.8. For the sake of validity and reliability, the Cronbach’s alpha internal consistency coefficient for the scale (content validity, construct validity, distinctiveness validity, internal consistency and reliability) was determined as 0.97. Thus, the conclusion can be made that the scale is applicable and reliable enough for future development.

The Development of the Job Stressor Appraisal Scale as Part of the Job Stress Battery

2012 ◽  
Vol 28 (2) ◽  
pp. 147-153 ◽  
Author(s):  
Ilknur Özalp Türetgen ◽  
Özlem Sertel Berk ◽  
Gokce Basbug ◽  
Pinar Unsal
Keyword(s):  
Factor Analysis ◽  
Job Stress ◽  
Factor Structure ◽  
Validity And Reliability ◽  
Job Stressors ◽  
Job Stressor

This study introduces the psychometric qualities of the Job Stressor Appraisal Scale (JSAS), a part of the Job Stress Battery, which comprehensively measures job stress in terms of job stressors, moderators, and strains. The JSAS measures employees’ appraisals of job stressors by considering both their frequency and intensity. To test its psychometric qualities, we administered the JSAS to a sample of 1,069 employees in Turkey. Factor analysis revealed a 5-factor structure, with 43 items explaining 46.1% of the variance. Cronbach’s α coefficients of the factors and the total scale varied between .66 and .93. In terms of construct and convergent validities, results generally showed significant correlations in the expected directions. These findings obtained on the validity and reliability of the scale imply good psychometric qualities.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

Incidence of Stakeholders in the corporate social responsibility of micro, small and medium-sized enterprises of Santa Marta

2018 ◽  
Vol 34 (62) ◽  
pp. 3-19
Author(s):  
Guillen León ◽  
Sergio Afcha
Keyword(s):  
Factor Analysis ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Value Chain ◽  
Training Programs ◽  
Small And Medium Enterprises ◽  
Corporate Management ◽  
Medium Enterprises ◽  
Corporate Social ◽  
The City

This article analyses the perception and application of corporate social responsibility (CSR) practices in a sample of 499 micro, small and medium enterprises (MSMEs) in the city of Santa Marta (Colombia) following the theory of Stakeholders. Specifically, the interdependence technique of exploratory factor analysis was used to determine the most influential Stakeholders in the execution of CSR practices. It was found that Stakeholders related to the value chain, the environment and corporate management favour social responsibility actions in local MSMEs. In contrast, community and government have less influence on the development of social responsibility practices in MSMEs. Additionally, it was found that the size of the business acts as an important moderator of the development of the CSR. Given that there is a distinctive influence of Stakeholders in the development of responsible practices in the MSMEs of Santa Marta, it is suggested that comprehensive training programs on social responsibility be promoted in smaller companies.

Algorithm for assessing fire damage based on multi-factor analysis of fires development from gas compressor stations

2020 ◽  
Vol 90 ◽  
pp. 74-84
Author(s):  
A. A. Tanygina ◽  
◽  
R. V. Khalikov ◽  
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Systems Analysis ◽  
Statistical Data ◽  
Efficiency Analysis ◽  
Economic Damage ◽  
Fire Damage ◽  
Fire Control ◽  
Multifactor Model ◽  
General Scientific

Introduction. The article provides an algorithm for assessing the damage from a fire on the territory of gas compressor stations using a multifactor model of scenarios for the development of a fire. The causes of fires at the facilities of gas compressor stations are analyzed on the basis of statistical data. The established algorithm was verified by calculating the damage from fires, and the most dangerous causes of fires on the territory of gas compressor stations were established by the values of the frequency of emergency ruptures. The purpose of the study is establishing an algorithm for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Research methods. To obtain the results, general scientific and special methods of scientific knowledge were used. These are analysis, generalization, economic analysis, analysis of empirical data, which were based on the general provisions of the theory of analysis and systems analysis. The results of the study. A multivariate analysis of scenarios for the development of fires on the territory of gas compressor stations is carried out. An algorithm is found for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Conclusion. Using the results of the analysis of scenarios of fire development on the territory of gas compressor stations and calculations of indicators of economic damage from fires at these facilities, it is possible to draw up an algorithm for assessing fire damage on the territory of gas compressor stations. Key words: efficiency, analysis, statistics, fire, gas compressor stations, state fire control authorities, damage calculation.

Role of Brand experience in Fashion brands

2019 ◽  
Vol 118 (1) ◽  
pp. 57-64
Author(s):  
G. Aiswarya ◽  
Dr. Jayasree Krishnan
Keyword(s):  
Factor Analysis ◽  
Purchase Intention ◽  
Great Influence ◽  
Brand Experience ◽  
Brand Preference ◽  
Mediating Role ◽  
Confirmatory Factor ◽  
Selling Strategies ◽  
The Impact

Traditionally the products were pushed into the hands of customers by production and selling strategies; then the marketing strategy evolved which gained momentum by understanding the customer needs and developing products satisfying those needs. This strategy is most prevalent and what should be done to stand up in this most competitive scenario? The answer to this key question is to create an experience. The customers now also seek good experiences than other benefits. Brand experience has gained more attention, especially fashion brands. Previous studies demonstrate the role of the brand experience in brand equity and other consumer behavior constructs. But very little is known about the impact of brand experiences on fashion brands. The aim of this study is to develop a model which makes our understanding better about the role of Brand preference and Brand experience and its influence on purchase intention of the brand. An initial exploratory study is conducted using a focus group to generate items for the study. The items, thus generated are prepared in the form of a questionnaire and samples were collected.  Exploratory factor analysis is conducted and the reliability of the constructs is determined. These constructs are loaded onto AMOS to perform Confirmatory factor analysis. The results confirmed the scales used. We also noticed that Brand preference has a great influence on the Brand experience. Thereby the finding supports the role of the brand experience which tends to have a mediating role in influencing the purchase intention.

Turkish Adaptation of Diabetic Foot Ulcer Scale–Short Form

2020 ◽  
Vol 19 (3) ◽  
pp. 269-274 ◽  
Author(s):  
İsmail Toygar ◽  
Sadık Hançerlioğlu ◽  
Selden Gül ◽  
Tülün Utku ◽  
Ilgın Yıldırım Şimşir ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Diabetic Foot ◽  
Content Validity ◽  
Short Form ◽  
University Hospital ◽  
Validity And Reliability ◽  
Turkish Version ◽  
Patient Identification ◽  
Validity Index ◽  
Content Validity Index

The purpose of this study was to evaluate the validity and reliability of the Turkish version of the Diabetic Foot Scale–Short Form (DFS-SF). The study was cross-sectional and conducted between January and October 2019 in a diabetic foot council of a university hospital. A total of 194 diabetic foot patients participated in the study. A Patient Identification Form and DFS-SF were used for data collection. Forward and backward translations were used in language validity. Expert opinions were obtained to determine the Content Validity Index. To determine construct validity, exploratory factor analysis and confirmatory factor analysis were used. Cronbach’s α internal consistency coefficient, item-scale correlation, and test-retest reliability were used to evaluate reliability. It was found that Content Validity Index was 0.97 (0.86-1.00), the factor loading of scale varied from 0.378 to 0.982, Cronbach’s α value varied from 0.81 to 0.94, and item-total correlations were between 0.30 and 0.75. The Turkish version of the DFS-SF was found valid and reliable to measure the quality of life of diabetic foot patients.

scholarly journals Design and psychometric evaluation of epilepsy-related apathy scale (E-RAS) in adults with epilepsy: a sequential exploratory mixed methods design

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abbas Shamsalinia ◽  
Mozhgan Moradi ◽  
Reza Ebrahimi Rad ◽  
Reza Ghadimi ◽  
Mansoureh Ashghali Farahani ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Mixed Methods ◽  
Care Providers ◽  
Divergent Validity ◽  
Validity And Reliability ◽  
Mixed Methods Design ◽  
Scale Evaluation ◽  
Wide Range ◽  
Epileptic Patients ◽  
Convergent And Divergent Validity

Abstract Background Apathy in patients with epilepsy is associated with a wide range of consequences that reduce the patient’s ability to perform social functions and participate in self-care and rehabilitation programs. Therefore, apathy is one of the important diagnoses of the healthcare team in the process of caring for epileptic patients and its dimensions need to be examined and recognized. Therefore, appropriate instruments with the sociocultural milieu of each community should be provided to health care providers. The aim of the present study was to design and measure epilepsy–related apathy scale (E-RAS) in adults with epilepsy. Methods This study of sequential exploratory mixed methods design was conducted in Iran from April 2019 to December 2019. In the Item generation stage, two inductive (face-to-face and semi-structured interviews with 17 adult epileptic patients) and deductive (literature review) were used. In item reduction, integration of qualitative and literature reviews and scale evaluation were accomplished. For Scale Evaluation, face, content, construct [exploratory factor analysis (EFA) (n = 360) and confirmatory factor analysis (CFA) (n = 200)], convergent and divergent Validity and reliability (internal consistency and stability) were investigated. Results The results of EFA showed that E-RAS has four factors, namely, motivation; self-regulatory; cognition and emotional-effective. These four latent factors accounted for a total of 48.351% of the total variance in the E-RAS construct. The results of CFA showed that the 4-factor model of E-RAS has the highest fit with the data. The results of convergent and divergent validity showed that the values of composite reliability (CR) and average variance extracted (AVE) for the four factors were greater than 0.7 and 0.5, respectively, and the value of AVE for each factor was greater than CR. The Cronbach’s alpha coefficient for the whole scale was obtained 0.815. The results of the test-retest showed that there was a significant agreement between the test and retest scores (P < 0.001). Conclusion E-RAS is a multidimensional construct consisting of 24 items, and has acceptable validity and reliability for the study of epilepsy-related apathy in adult epileptic patients.

scholarly journals Validity and reliability of the lederman Prenatal Self-Evaluation Questionnaire (PSEQ) in Brazil

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Janiny Lima e Silva ◽  
Matheus de Sousa Mata ◽  
Saionara Maria Aires Câmara ◽  
Íris do Céu Clara Costa ◽  
Kleyton Santos de Medeiros ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Pregnant Women ◽  
Internal Consistency ◽  
Intraclass Correlation ◽  
Psychosocial Adaptation ◽  
Validity And Reliability ◽  
Evaluation Questionnaire ◽  
Self Evaluation ◽  
Confirmatory Factor

Abstract Background The Lederman Prenatal Self-Evaluation Questionnaire (PSEQ) is used to assess psychosocial adaptation to pregnancy, labor, childbirth, and maternity. The PSEQ is a tool used in various countries and has been translated into Portuguese; however, it needs to be validated in Brazil. This study aimed to analyze the validity and reliability of the PSEQ in Brazilian pregnant women. Method This methodological validity study investigated internal consistency and reliability using Cronbach’s alpha and intraclass correlation coefficients. Construct validity was assessed using Pearson’s correlation between domains and confirmatory factor analysis. To assess concurrent validity, Pearson’s correlation between the different domains of the PSEQ and Prenatal Psychosocial Profile-Portuguese Version (PPP-VP) was determined. The level of significance was set at 5%. Results This study included 399 pregnant women in the northeastern region of Brazil. The internal consistency and reliability of the total PSEQ score were high (Cronbach's alpha = 0.89; intraclass correlation coefficient = 0.95). Validity analysis showed positive and significant correlations between all PSEQ domains, ranging from 0.14 to 0.56. Confirmatory factor analysis demonstrated the following values of goodness of fit: RMSEA = 0.05, SRMR = 0.08, CFI = 0.61, χ2/df = 1.77. The discriminant and concurrent validities of the PSEQ were confirmed. Conclusions The Portuguese version of the PSEQ has adequate psychometric properties and is a valid and reliable tool to evaluate psychosocial adaptation to pregnancy in Brazilian pregnant women.

scholarly journals Medical artificial intelligence readiness scale for medical students (MAIRS-MS) – development, validity and reliability study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ozan Karaca ◽  
S. Ayhan Çalışkan ◽  
Kadir Demir
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Medical Students ◽  
Data Science ◽  
Factor Model ◽  
Health Science ◽  
Measurement Tool ◽  
Validity And Reliability ◽  
Mathematical Concepts ◽  
Evaluation And Monitoring

Abstract Background It is unlikely that applications of artificial intelligence (AI) will completely replace physicians. However, it is very likely that AI applications will acquire many of their roles and generate new tasks in medical care. To be ready for new roles and tasks, medical students and physicians will need to understand the fundamentals of AI and data science, mathematical concepts, and related ethical and medico-legal issues in addition with the standard medical principles. Nevertheless, there is no valid and reliable instrument available in the literature to measure medical AI readiness. In this study, we have described the development of a valid and reliable psychometric measurement tool for the assessment of the perceived readiness of medical students on AI technologies and its applications in medicine. Methods To define medical students’ required competencies on AI, a diverse set of experts’ opinions were obtained by a qualitative method and were used as a theoretical framework, while creating the item pool of the scale. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were applied. Results A total of 568 medical students during the EFA phase and 329 medical students during the CFA phase, enrolled in two different public universities in Turkey participated in this study. The initial 27-items finalized with a 22-items scale in a four-factor structure (cognition, ability, vision, and ethics), which explains 50.9% cumulative variance that resulted from the EFA. Cronbach’s alpha reliability coefficient was 0.87. CFA indicated appropriate fit of the four-factor model (χ2/df = 3.81, RMSEA = 0.094, SRMR = 0.057, CFI = 0.938, and NNFI (TLI) = 0.928). These values showed that the four-factor model has construct validity. Conclusions The newly developed Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was found to be valid and reliable tool for evaluation and monitoring of perceived readiness levels of medical students on AI technologies and applications. Medical schools may follow ‘a physician training perspective that is compatible with AI in medicine’ to their curricula by using MAIRS-MS. This scale could be benefitted by medical and health science education institutions as a valuable curriculum development tool with its learner needs assessment and participants’ end-course perceived readiness opportunities.

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