scholarly journals Factors affecting entrepreneur’s development in Oman

2016 ◽  
Vol 13 (2) ◽  
pp. 66-70 ◽  
Author(s):  
Shariq Mohammed ◽  
Mohammed Ahmar Uddin ◽  
Moinuddin Ahmad
Keyword(s):  
Factor Analysis ◽  
Extraction Method ◽  
Primary Source ◽  
Principal Component ◽  
Sultanate Of Oman ◽  
Varimax Rotation ◽  
Factors Affecting ◽  
Component Extraction ◽  
The Government ◽  
The University

The objective of this paper is to examine the factors affecting the choice of entrepreneurship among the university going students for starting their own business, their awareness about the schemes promoted by the government of Oman for entrepreneurship. The schemes by the government of Oman for promoting entrepreneurship. The data for the study is obtained from primary source with the use of well structured and pre-tested questionnaires, which were distributed among 150 students of different colleges of Dhofar University, Salalah, and Sultanate of Oman. The factor analysis using principal component extraction method with Varimax rotation has extracted 5 factors which explained 63.74 percent of the variance.

scholarly journals Analysis for Employment Preference of Undergraduate Accounting Students in Oman

TEM Journal ◽  
2021 ◽  
pp. 825-831
Author(s):  
Shariq Mohammed
Keyword(s):  
Factor Analysis ◽  
Principal Component ◽  
Accounting Students ◽  
Future Prospects ◽  
Contribution Rate ◽  
Varimax Rotation ◽  
Ability To Work ◽  
Employment Factors ◽  
The University ◽  
Financial Outcome

The sole purpose of this study was to study the relative importance of different employment factors which affect the students’ choice for employment. In this study the factors that affect the choice of employability was studied. This was conducted among the undergraduate accounting students of the University. The factor analysis was done by using the principal component extraction method. The Varimax rotation extraction was used. This gave us three factors that explained 57.593 percent of the variance. In this study, the following factor was significant as per the factor analysis, which was named as a financial outcome. The variables were starting salary, ability to work independently and future prospects. According to this study, we can see the most important variables that were identified with the help of factor analysis, which were good income and accounting knowledge, starting salary, the ability to work independently, future prospects, and employer’s reputation, which accounted for the cumulative contribution rate that reached 57.593%.

scholarly journals Saberes digitales en el profesorado universitario. Estudio en una escuela mexicana.

2021 ◽  
Vol 21 (66) ◽  
Author(s):  
José Alejandro Lara Rivera ◽  
Julio Cabero Almenara
Keyword(s):  
Extraction Method ◽  
Statistical Tests ◽  
Principal Component ◽  
Statistical Relationship ◽  
Varimax Rotation ◽  
Academic Degree ◽  
Sphericity Test ◽  
Component Extraction ◽  
Digital Knowledge ◽  
And Gender

Se presenta una investigación empírica que evalúa los saberes digitales en profesores de educación superior, los datos fueron recopilados en una institución mexicana ubicada en el noroeste del país.  La muestra es probabilística aleatoria simple compuesta por 224 profesores clasificados desde las variables Edad, Grado académico y Género, ya que, se trabajó con el hipotético de que los conocimientos tecnológicos están relacionados con estos factores. Con la finalidad de buscar relación estadística en el agrupamiento de los datos, se realizó un factorial exploratorio por Kaiser-Meyer-Olkin (KMO) y prueba de esfericidad de Bartlett con el método de extracción de componentes principales y rotación varimax. Se aceptaron solo los factores con un autovalor superior a 1 y un peso factorial por ítem superior al 0.40. Posteriormente se realizaron pruebas estadísticas no paramétricas para identificar relaciones desde las variables de cruce.  Los hallazgos dan cuenta de que la Edad de los profesores es un factor diferenciador para la apropiación de saberes digitales. An empirical research is presented that assesses digital knowledge in higher education teachers, the data was collected in a Mexican institution located in the northwest of the country. The sample is simple random probabilistic composed of 224 teachers classified according to the variables Age, Academic Degree and Gender, since the hypothetical was worked on that technological knowledge is related to these factors. In order to find a statistical relationship in the grouping of data, an exploratory factorial was performed by Kaiser-Meyer-Olkin (KMO) and Bartlett's sphericity test with the principal component extraction method and varimax rotation. Only factors with an eigenvalue greater than 1 and a factorial weight per item greater than 0.40 were accepted. Subsequently, non-parametric statistical tests were performed to identify relationships from the crossover variables. The findings show that the age of the teachers is a differentiating factor for the appropriation of digital knowledge.

Factors Affecting Attendance at Professional Sport Events

1989 ◽  
Vol 3 (1) ◽  
pp. 15-32 ◽  
Author(s):  
Hal Hansen ◽  
Roger Gauthier
Keyword(s):  
Factor Analysis ◽  
Response Rate ◽  
Principal Component ◽  
Current Status ◽  
Varimax Rotation ◽  
Factors Affecting ◽  
Principal Component Model ◽  
Sport Events ◽  
Larger Sample ◽  
Indoor And Outdoor

Forty attendance items comprised a questionnaire using a Likert 5-point scale to describe the relative importance of each factor from the YÍew of the following sample of 117: CFL (8), NFL (28), NHL (21), NBA (23), M1SL (11); American Baseball (14), and National Baseball (12). It was hypothesized that no difference exists between leagues on attendance factors; on factor categories; between winning, moderately winning, and losing teams; and between indoor and outdoor leagues. ANOVA and Tukey tests were used for significant differences. Factor analysis using the principal component model followed by Varimax rotation was applied to the 40 items. The response rate was 46%. Significant differences resulted. Factor analysis derived 10 factor categories. Baseball and the NFL accounted for most of the differences, followed by the MISL. Items generating differences were scheduling, team roster quality, price, forms of entertainment competition, and convenience for fans. This study provides current status, factor categories, and preliminary trends that point to the need for former study with a larger sample.

scholarly journals Identification of the relationship between some characteristics of native walnut genotypes peculiar to Darende district of Malatya province: Use of factor analysis scores in multiple linear regression

Genetika ◽  
2016 ◽  
Vol 48 (3) ◽  
pp. 923-932 ◽  
Author(s):  
Omer Beyhan ◽  
Ecevit Eyduran ◽  
Meleksen Akin ◽  
Sezai Ercisli ◽  
Kenan Gecer ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Extraction Method ◽  
Principal Component ◽  
Kernel Weight ◽  
Eastern Anatolia ◽  
Factor Scores ◽  
Varimax Rotation ◽  
Independent Variables ◽  
Selection Strategies ◽  
The Relationship

Two main aims of this investigation were to predict kernel ratio (KR) and kernel weight (KW) from some walnut characteristics, respectively. For these aims, a total of 112 Walnut genotypes growing in nature were collected at Darende District of Malatya province in the Eastern Anatolia region of Turkiye. The walnut characteristics evaluated were nut length (NL), nut width (NW), nut height (NH), nut weight (NWe), shell thickness (ST), kernel ratio (KR) and kernel weight (KW), respectively. Independent variables were subjected to factor analysis based on principal component extraction method and VARIMAX rotation. On the basis of jointly using factor scores in multiple regression, KR (81.3 % R2 and 80.6 % adjusted R2) and KW (94.7% R2 and 94.5% adjusted R2) characteristics were predicted by using four factor scores with a big accuracy without multicollinearity problem. Consequently, the present results revealed that, walnuts of heavier KW and NWe in the prediction of KR would be expected to produce those of higher KR, and walnuts of higher values in NH, NW, NWe, ST, NL, and KR in the prediction of KW would be expected to produce those of heavier KW. The knowledge may help walnut breeders to improve new selection strategies.

Use of the Perceived Physical Competence Scale with Adolescents with Disabilities

1995 ◽  
Vol 80 (2) ◽  
pp. 571-577 ◽  
Author(s):  
Taru Lintunen ◽  
Pilvikki Heikinaro-Johansson ◽  
Claudine Sherrill
Keyword(s):  
Gender Differences ◽  
Factor Analysis ◽  
Principal Component ◽  
Principal Component Factor Analysis ◽  
Validity And Reliability ◽  
Varimax Rotation ◽  
Physical Competence ◽  
Related Literature ◽  
Competence Scale ◽  
Two Factors

The construct validity and reliability of the 1987 Perceived Physical Competence Scale of Lintunen were examined to assess the applicability of the instrument for use with adolescents with disabilities. Subjects were 51 girls and 34 boys ( M age = 15.1 yr.) from several schools in central Finland. Principal component factor analysis with varimax rotation yielded the same two factors for adolescents with disabilities as reported for nondisabled adolescents in the related literature. Cronbach alphas for the two factors were .89 and .56. It was concluded that the scale is an appropriate measure for adolescents with disabilities. Statistical analysis indicated no gender differences for adolescents with disabilities. When compared with nondisabled groups in the related literature, these adolescents had perceived fitness similar to nondisabled peers but significantly lower than that of athletes without disabilities.

scholarly journals Proposals for university promoting in QS rating based on the methods of statistical analysis

2020 ◽  
Vol 17 (1) ◽  
pp. 35-43
Author(s):  
A. A. Mikryukov ◽  
M. S. Gasparian ◽  
D. S. Karpov
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Performance Indicators ◽  
Factor Model ◽  
Reference Group ◽  
Latent Factors ◽  
University Ranking ◽  
Factors Affecting ◽  
University Performance ◽  
The University

The purpose of the study. The purpose of the study is to develop scientifically based proposals to increase the university performance indicators in the international institutional rating QS to the required values, taking into account the presence of a combination of latent (hidden) factors, the degree of achievement of the set values of the basic indicators and, as a result, the university ranking level.Materials and methods. To achieve this goal, methods of statistical analysis (correlation-regression and factor analysis) were used, which made it possible to identify the degree of influence of latent factors on basic indicators and the main indicator (rating functional). During the study, the following tasks were solved: identification of latent factors affecting the basic indicators of the university, an assessment of their significance and degree of influence on the basic indicators, as well as their grouping. Based on the results of the correlation - regression and factor analysis, measures are formulated to achieve the specified values of the QS University institutional rating indicators.Results. An approach to solving the problem of providing conditions for achieving the required values of university performance indicators in the international institutional ranking QS using models developed based on the methods of correlation-regression and factor analysis is proposed. Estimates of the relationship of indicators and university ranking based on the methods of correlation and regression analysis are obtained. A comparative analysis of the results obtained at the universities of the reference group is made. The problem of identifying factors that influence the change in the values of indicators is solved; the degree of this influence is assessed. Based on the results obtained, reasonable proposals have been developed to achieve the required values of the basic indicators and the rating functional of the university.Conclusion. The results obtained in the course of the study made it possible to justify the measures necessary to solve the problem of achieving the specified performance indicators of the university. Based on the correlation model, correlation dependencies between the rating functional and basic indicators are obtained. Interpretation of the results of factor analysis allowed us to identify a set of factors that have a significant impact on the basic indicators. It is shown that measures to achieve the specified indicators must be carried out taking into account the revealed correlation dependencies between factors and basic indicators, as well as the interpretation results of the developed factor model.

Who are sustainably minded apparel shoppers? An investigation to the influencing factors of sustainable apparel consumption

2018 ◽  
Vol 46 (2) ◽  
pp. 148-162 ◽  
Author(s):  
Hyo Jung Chang ◽  
Kittichai (Tu) Watchravesringkan
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Sustainable Consumption ◽  
Principal Component ◽  
Control Beliefs ◽  
Student Sample ◽  
Content Type ◽  
Factors Affecting ◽  
College Student Sample ◽  
Buying Behaviour

Purpose Consumers’ environmental behaviours are not only the result of their positive attitudes towards environments, but also different reasons and motivations exist. Thus, the purpose of this paper is to find out important factors affecting sustainable apparel buying behaviour. Applying the theory of planned behaviour (TPB), this study further examines how knowledge about sustainable apparel, perceived money availability, and perceived accessibility to the store influence sustainable apparel consumption. Design/methodology/approach Using a purposive college student sample, 235 usable responses were collected to answer the questions. An exploratory factor analysis with principal component analysis was first performed followed by confirmatory factor analysis, and a structural equation modelling analysis. Findings Results revealed that the TPB was successfully applied in the context of sustainable apparel buying behaviour. Furthermore, it was found that consumers’ perceived money availability and perceived store accessibility are important factors that affect control beliefs and sustainable consumption. Research limitations/implications This study found the needs of educating college students for contexts of environmental apparel and textiles issues. Originality/value Even though previous literature often found the gap between the behavioural intentions and the actual behaviour, this study found the respondents of this study walk their talk. This study successfully applied the TPB to explain consumers’ sustainable apparel buying behaviour.

scholarly journals DETERMINING THE FACTORS AFFECTING THE E-LEARNING COURSE ACCEPTANCE OF STUDENTS AT TRA VINH UNIVERSITY

2020 ◽  
Vol 1 (39) ◽  
pp. 35-44
Author(s):  
Linh Huynh Truc Phan ◽  
Khuong Tan Huynh ◽  
An Thi My Nguyen
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Social Influence ◽  
Influencing Factors ◽  
Structure Analysis ◽  
Research Result ◽  
Linear Structure ◽  
Factors Affecting ◽  
E Learning ◽  
The University

The study is done to confirm the factors that affecting on the acception of the students about electronic atTra Vinh University. The research sample is surveyed from 278 university students of various sụbjects to April 2020 to May 2020, including 254 students are using electronic courses at the university. The study is basedon the method of assessing the reliability of scale by Cronbach’s Alpha, exploratory factor analysis (EFA) and linear structure analysis (SEM). The research result shows that the positively influencing factors on the acception of Tra Vinh University including usefulness, social influence and habits. This study also contributes some solutions to complete the policy of attracting students to use e-learning courses at Tra Vinh University.

scholarly journals Factors Affecting Students’ Satisfaction Towards Bus Services in Campus

2021 ◽  
Vol 6 (2) ◽  
pp. 175
Author(s):  
Masnita Misiran ◽  
Hasimah Sapiri ◽  
Zahayu Md Yusof ◽  
Massudi Mahmuddin
Keyword(s):  
Factor Analysis ◽  
Public Transport ◽  
Structural Models ◽  
Critical Factor ◽  
Factors Affecting ◽  
Transport Services ◽  
Bus Services ◽  
The University ◽  
Students Satisfaction ◽  
Public Transport Services

The reliability of public transport services (e.g., bus) is a critical factor to be considered among public transport users. This factor is important for the consequences that come with unreliability will significantly increase unnecessary anxiety and discomfort. Such consequences include additional waiting time, late arrival at destinations, and missed connections. The ability of the system to follow the planned schedule and maintain consistent travel time are some of the factors that need to be in focus. In this study, we investigated satisfaction among students who reside in campus towards bus services provided by the university. Factor analysis and structural models were developed to achieve the research objective. Three factors havesignificant relationships with students’ satisfaction. The finding also indicated that bus services are an important requirement of the on-campus students.

Psychometric Properties of a New Scale Measuring Neglect and Abuse of Older Adults in the Community: Implications for Social Activity

2020 ◽  
Vol 41 (2) ◽  
pp. 163-172
Author(s):  
Nestor Asiamah ◽  
Kyriakos Kouveliotis ◽  
Richard Eduafo ◽  
Richard Borkey
Keyword(s):  
Older Adults ◽  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Social Activity ◽  
Principal Component ◽  
Varimax Rotation ◽  
Factor Solution ◽  
Confirmatory Factor

Background Neglect and abuse of older adults are still prevalent in communities of developing countries, a situation that could discourage active and healthy behaviors in community-dwelling older adults. Methods This study used the cross-sectional and correlational approaches to construct a scale measuring neglect and abuse in older adults living in the community. The study population was all (3,211) older adults who were resident in Accra and were part of the database of the Social Security and National Insurance Trust. Participants were 515 individuals who met some inclusion criteria. Three steps were followed to determine an initial set of 11 items, and principal component analysis with varimax rotation and confirmatory factor analysis were used to select relevant items and assess the psychometric properties of the final scale. Results Principal component analysis with varimax rotation yielded a two-factor solution on all 11 items. The first factor extracted was “discrimination and exploitation,” which accounted for a variance of 53.9% out of total variance of 70.8%. The scale had a good internal consistency (Cronbach’s α = .90, factor loading ≥0.50). Confirmatory factor analysis confirmed the two-factor solution and produced satisfactory convergent and discriminant validity. Conclusion It is concluded that 11 items that make up 2 factors are potential indicators of neglect and abuse of older adults at the community level. Finally, neglect and abuse of older people in the community can contribute to an increase or decrease in social activity.

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