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.

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 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.

Employee Satisfaction and Gender

2021 ◽  
Vol 12 (1) ◽  
pp. 1-16
Author(s):  
Santosh Dev ◽  
Swati Sharma
Keyword(s):  
Employee Satisfaction ◽  
Survey Methodology ◽  
Banking Industry ◽  
Principal Component ◽  
Varimax Rotation ◽  
Distribution Method ◽  
Women Employees ◽  
Rotation Method ◽  
Bank Employees ◽  
And Gender

The study presents a grim picture of presence of women as employees in banks in India in spite of the fact that they exhibit more satisfaction than the male employees in certain dimensions of employee satisfaction. The study has employed survey methodology comprising 450 bank employees. The data of the respondents have been analyzed using principal component analysis, varimax rotation method, frequency distribution method, t-test and correlation coefficient. The results of the study exhibit that the count of women employees is less than the count of male employees in banks. Women employees are more satisfied than male employees. Banks need to increase the spread of their branches, analyze the environment so that the women employees feel motivated to join the banking industry and contribute in the economic growth of India.

Investigating Occupation Wise Perception of Customers Towards Access to Cooperative Banking Services

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Neetu Andotra ◽  
Tarsem Lal
Keyword(s):  
Secondary Data ◽  
Principal Component ◽  
Himachal Pradesh ◽  
Primary Data ◽  
Varimax Rotation ◽  
Banking Services ◽  
Banking Service ◽  
Total Data ◽  
Cooperative Banks ◽  
Secondary Information

The present paper aims at investigating the occupation-wise perception of customers towards access to cooperative banking services. The study is both expressive and evaluative in nature. In order to investigate the perception of customers towards access to cooperative banking services, both primary and secondary data has been collected. The primary data have been collected from 540 customers of cooperative banks operating in three northern states of India i.e J&K, Himachal Pradesh, and Punjab. The technique of factor analysis has been used through SPSS (version 17.00) with Principal Component Analysis along with varimax rotation for summarisation of the total data into minimum factors. Secondary information was collected from published sources i.e books, journals, files, cooperative bulletins, organizational reports, annual drafts of Planning and Statistical Department (Government of J&K, Himachal Pradesh, and Punjab), RBI reports, magazines, and Internet. ANOVA has been applied for data analysis. The results of the study shows that there exits significant means difference between perception of customers towards access to Cooperative banking service.

scholarly journals Exploring Residents’ Perceptions of the Socio-Cultural Benefits of Tourism Development in the Mountain Area

Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 83
Author(s):  
Iulia C. Muresan ◽  
Rezhen Harun ◽  
Felix H. Arion ◽  
Ava Omar Fatah ◽  
Diana E. Dumitras
Keyword(s):  
Positive Attitude ◽  
Statistical Tests ◽  
Tourism Development ◽  
Principal Component ◽  
Local Communities ◽  
Three Dimensions ◽  
Development Economic ◽  
Mountain Area ◽  
Sustainable Tourism Development ◽  
The Impact

Development of tourism affected the socio-cultural environment of many destinations. Previous studies have focused more on analyzing the impact of tourism on all three dimensions of sustainable development (economic, environment and socio-cultural); therefore, the present paper examines tourism development’s impact with regard to the socio-cultural benefits that enhance sustainable tourism development. A survey based on a questionnaire was employed in June 2018 in a mountain village in Cluj County, Romania. The collected data were analyzed using principal component analysis, and several statistical tests were conducted. The results indicated that the respondents have a positive attitude towards tourism development and socio-cultural perceived benefits. Older people and those running a business tend to perceive more positively the benefits of tourism development. The findings of the research could contribute to future development strategies, as it is well known that supporting local communities influences the success of tourism destination.

scholarly journals Exploring Sustainable Food Choices Factors and Purchasing Behavior in the Sustainable Development Goals Era in Spain

2021 ◽  
Vol 13 (13) ◽  
pp. 7397
Author(s):  
Isabel Blanco-Penedo ◽  
Javier García-Gudiño ◽  
Elena Angón ◽  
José Manuel Perea ◽  
Alfredo J. Escribano ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Sustainable Consumption ◽  
Principal Component ◽  
Final Analysis ◽  
Influential Factors ◽  
Purchase Behavior ◽  
Sustainable Food ◽  
The Sustainable Development ◽  
Region Of Residence ◽  
And Gender

The aim of the present study was (1) to investigate what consumers include within the concept of food sustainability and its link with sustainable consumption, by identifying meaningful consumer typologies from the concept of food sustainability and food choice factors framed by SDG 12, and (2) to know how different farm systems attributes affecting purchase behavior are associated with such typologies. Consumers from two Spanish regions (n = 403) answered a paper questionnaire to know their degree of knowledge of sustainability, and beliefs, behavior, attitudes and preferences towards food sustainability, and the importance given to product characteristics and shopping practices. A principal component analysis was conducted to identify groups with similar answers, to average some of the questions before the final analysis of variance, which includes demographic classes as fixed effects. A cluster analysis using the most representative questions identified two clusters. cluster 1 (68.4%) responded to more sustainability-related attributes, and cluster 2 (31.5%) presented a less-expanded concept of sustainability. The origin of the product and quality certification (local, organic) was important for food purchase practices. The place of residence and gender differences of the consumers were the most influential factors. In the conjoint study, regarding the purchase of Iberian pork, cluster 1 remained unwilling to sacrifice outdoor systems and local breed at the expense of the price, in the case of the Iberian pig production. The most important demographic differentiator was the region of residence of the consumer. In conclusion, consumers are not aware of the wider aspects included in the sustainability concept. Moreover, the concept of sustainability elicits different meanings to the segments of the consumers identified.

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.

Measuring the Employment Vulnerability Among Female Workers in Uttar Pradesh

2021 ◽  
Vol 15 (2) ◽  
pp. 307-322
Author(s):  
Nomita P. Kumar ◽  
Achala Srivastava
Keyword(s):  
Women Workers ◽  
Composite Index ◽  
Uttar Pradesh ◽  
Principal Component ◽  
Vulnerability Index ◽  
Informal Workers ◽  
Garment Workers ◽  
Principal Component Loading ◽  
And Gender ◽  
Component Loading

This article attempts to measure employment vulnerability among women workers in Uttar Pradesh by constructing a multidimensional vulnerability index (MVI). The index is based on 23 dichotomous (binary) variables corresponding to various dimensions of vulnerability related to employment. A composite index of vulnerability is developed for each occupational category, sector of employment and gender. Here, MVI is the average of five indices which are computed for the respective dimensions of employment vulnerability. The findings suggest high levels of vulnerability among informal workers with the MVI values ranging from 0.087 (low) to 0.783 (high).The overall MVI (measured by principal component loading [PCA]) was 0.768 for the construction and domestic workers, followed by tailors (0.629) and garment workers (0.635). Appropriate policies are needed to help lift women from the cumulative neglect that they experience in unorganised labour market.

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