scholarly journals Spanish Adaptation of Motivational Climate in Education Scale with University Students

2020 ◽  
Vol 10 (6) ◽  
pp. 157
Author(s):  
Antonio Granero-Gallegos ◽  
María Carrasco-Poyatos

The aim of this study was to provide evidence of the validity and reliability of the dimensionality of the Spanish adaptation of two correlated subscales to assess motivational climate in the university education context: Mastery motivational climate and performance motivational climate. Two different studies with cross-sectional design and different samples of university students were used to accomplish this research (Study 1: 181 students, mean age = 20.83, SD = 1.76; Study 2: 354 students, mean age = 21.84; SD = 1.98). In Study 1, Exploratory Structural Equation Modeling, Confirmatory Factor Analysis (CFA), and reliability analysis of the scale were conducted. In Study 2, CFA, reliability analysis, discriminant validity, temporal stability, factorial invariance across gender, and nomological validity were managed through a regression model measuring the relationships between democratic and autocratic behavior, mastery climate, and performance climate. The final version of the Motivational Climate in Education Scale showed acceptable goodness of fit and values of discriminant validity, reliability, temporal stability, and invariance across gender. According to its nomological validity, democratic behavior was shown to be a statistically significant predictor of mastery climate, and the teacher’s autocratic behavior was shown to be a statistically significant predictor of performance climate. This scale is a valid and reliable instrument to assess mastery climate and performance climate in the Spanish university educational context.

Author(s):  
Arthur Ong Buenavista ◽  

This study investigated the relationships among managerial leadership, transformational leadership, and performance of school administrators of Northern Iloilo Polytechnic State College (NIPSC) through Structural Equation Modeling (SEM). Covariance-Based SEM (CB-SEM), Confirmatory Factor Analysis (CFA) with its default Maximum Likelihood Estimation (MLE) were used to test the hypothesized model that managerial leadership covary transformational leadership which were both related to the school administrators’ performance. Results revealed that of the eight alternative models, two equivalent models, one model generates every probability distribution that can be generated by another model, Model B3 and Model D3 were generated, got the smallest Alkaike Information Criterion (AIC) and Bayes Information Criterion (BIC) indicating that both models had relatively better fit. Model B3 and Model D3 have the same degrees of freedom but feature a different configuration of paths among the same variables. However, of the two equivalent models, model B3 was rejected due to discriminant validity concerns while model D3 passed both measurement model and structural model, model D3 was confirmed and retained. As contribution to the fields of education, management and leadership, the researcher confirmed and recommends, through CB-SEM using CFA with its default MLE, the Managerial Leadership and Performance as fully mediated by Transformational Leadership Model.


SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401989908 ◽  
Author(s):  
Sonia Beatriz Echeverría Castro ◽  
Mirsha Alicia Sotelo Castillo ◽  
Christian Oswaldo Acosta Quiroz ◽  
Laura Fernanda Barrera Hernández

The aim of the study was to adjust the measurement model of an instrument of sources of Self-efficacy for Mathematics to sample of university students from Northeast of Mexico and the sex measurement invariance. A second-order modeling was performed, which shows convergent and discriminant validity, which corresponds to the original Bandura theory of self-efficacy and contains four factors: experience in mastery, social persuasion, vicarious learning, and physiological state (emotional activation). There was adequate goodness of fit of the model in the confirmatory analysis. The advantages of the use of this instrument are discussed for its simplicity and ease of applications, qualification, and interpretation, to be used by teachers, tutors, and advisors of mathematics.


2021 ◽  
Vol 13 (2) ◽  
pp. 36
Author(s):  
Getie Andualem Imiru

The area of export performance has been attracting both academic and managerial attention at an increasing pace. The purpose of this study is to examine the effect of Export Promotion Programs on Export Performance mediated by marketing implemenattion capbaility in the case of Exporting Companies in Ethiopia. The target repsondnets of this study were Exporting companies operating in Ethiopia. The total number of exporting companies operating in the country are 938. The number of questionnaires distributed were 280 and 218 (78%) of the collected questionnaires were used for anlaysis. The validity of the data was tested by measuring construct validity and discriminant validity. Data were analyses using partial least squares Structural Equation Modeling (PLS-SEM). The study findings showed that the use of export promotion programmes has a positive and significant effect on export Performance. Results of the total model also revealed that market implementation capability mediated the effect of Education, Training and Development-related EPPs, Legal-Related EPPs, Marketing Selection-Related EPPs on export performance positively and significantly. On the other hand, Market Implementation Capability didn’t mediate the effect of Information-Related EPPs, Financial Aid-Related EPPS, Marketing Strategy-Related EPPs and Miscellaneous EPPs on export performance. Marketing implementation capabilities was found to have a partial mediation role between EPPs and Performance. The findings of the study are expected to provide a source of information for policy makers, researchers and exporters and marketing professionals to understand link between Export Promotion Programs, with the immediate role marketing implementation capability in exporting companies operating in Ethiopia.


2021 ◽  
Vol 13 (13) ◽  
pp. 7474
Author(s):  
Joseph Amankwah ◽  
Harun Sesen

This study investigated the relationship between green entrepreneurship intention (GEI) and green entrepreneurship behavior (GEB). The study explored how university education support and green consumption commitment (GCC) moderate the relationship between green entrepreneurship intention and the GEB of university students in Ghana. The researcher used a quantitative approach. A total of 420 responses from the university campuses in Ghana were acquired through a purposive sampling method. A structural equation model was established with the help of AMOS 18. Confirmatory factor analysis was used to assess the goodness of fit of the hypothesized model, the construct validity was evaluated, and the model had an acceptable fit. The results indicated that GEI positively influenced GEB. High university education support yielded a more substantial effect. This finding supports the notion that UES and GCC moderate the relationship between GEI and GEB. The research was limited to a survey questionnaire. The researcher acknowledges that the research was carried out in Ghana, and for generalization purposes it is recommended that the pool of university students surveyed should be extended to cover more countries in Africa, or a comparative study should be conducted that includes Ghana and some European countries.


Author(s):  
Abdelouahed Bouih ◽  
Driss Benattabou

This study aims primarily to investigate the relationship between Self-esteem (SE) and Reading Motivation (RM) among EFL university students in Morocco. Another aim of this research is to examine the role of gender in shaping this relationship. A questionnaire on SE, RM and socio-biographical data was completed by one hundred and eighty (N = 180) participants of undergraduate and graduate levels. Bivariate statistical analyses showed low significant correlational results using standardized summed scores of SE and RM. Moderately significant results have been observed based on SE and RM factors extracted using Principal Component Analysis (PCA) after both constructs were shown to have acceptable internal consistency. Using structural equation modeling (SEM), we evaluated a direct effect measurement model to investigate the unidirectional impact of SE on RM and its concordance with the structural model. Corresponding results revealed acceptable goodness-of-fit indexes indicating the validity of the structural model and demonstrating a positive effect of SE on RM. The examination of gender-based scores showed that there was no significant difference between males and females both in SE and RM.


10.2196/14316 ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. e14316 ◽  
Author(s):  
Tiantian Ye ◽  
Jiaolong Xue ◽  
Mingguang He ◽  
Jing Gu ◽  
Haotian Lin ◽  
...  

Background Poor quality primary health care is a major issue in China, particularly in blindness prevention. Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis to improve primary care services and reduce unnecessary referrals, but the application of AI in medical settings is still an emerging field. Objective This study aimed to investigate the general public’s acceptance of ophthalmic AI devices, with reference to those already used in China, and the interrelated influencing factors that shape people’s intention to use these devices. Methods We proposed a model of ophthalmic AI acceptance based on technology acceptance theories and variables from other health care–related studies. The model was verified via a 32-item questionnaire with 7-point Likert scales completed by 474 respondents (nationally random sampled). Structural equation modeling was used to evaluate item and construct reliability and validity via a confirmatory factor analysis, and the model’s path effects, significance, goodness of fit, and mediation and moderation effects were analyzed. Results Standardized factor loadings of items were between 0.583 and 0.876. Composite reliability of 9 constructs ranged from 0.673 to 0.841. The discriminant validity of all constructs met the Fornell and Larcker criteria. Model fit indicators such as standardized root mean square residual (0.057), comparative fit index (0.915), and root mean squared error of approximation (0.049) demonstrated good fit. Intention to use (R2=0.515) is significantly affected by subjective norms (beta=.408; P<.001), perceived usefulness (beta=.336; P=.03), and resistance bias (beta=–.237; P=.02). Subjective norms and perceived behavior control had an indirect impact on intention to use through perceived usefulness and perceived ease of use. Eye health consciousness had an indirect positive effect on intention to use through perceived usefulness. Trust had a significant moderation effect (beta=–.095; P=.049) on the effect path of perceived usefulness to intention to use. Conclusions The item, construct, and model indicators indicate reliable interpretation power and help explain the levels of public acceptance of ophthalmic AI devices in China. The influence of subjective norms can be linked to Confucian culture, collectivism, authoritarianism, and conformity mentality in China. Overall, the use of AI in diagnostics and clinical laboratory analysis is underdeveloped, and the Chinese public are generally mistrustful of medical staff and the Chinese medical system. Stakeholders such as doctors and AI suppliers should therefore avoid making misleading or over-exaggerated claims in the promotion of AI health care products.


2021 ◽  
Vol 9 (3) ◽  
pp. 277-289
Author(s):  
Rafaquat Ali ◽  
Furrukh Bashir ◽  
Abou Bakar ◽  
Ismat Nasim

The learning approaches consist of students’ learning intentions and strategies to learn. The ramification of their different learning approaches ends in various academic achievements. Their learning approaches mediate the impacts of students’ epistemological beliefs, learning conceptions, personality, and ability to learn on their academic achievements. Apart from personal variables, differences in students’ socioeconomic background, gender, disciplines of study, duration of experience in education, teaching approaches, and teaching methods produce differences in students’ learning approaches. The cultural and social differences produce specific personal attributes in students that impact learning approaches. Therefore, this study explored the impacts of Pakistani university students’ socioeconomic background, gender, study disciplines, and university education experience on their learning approaches. The sample of this study comprised 488 university students. The sampling technique to select this sample was a convenient non-probability sampling technique. The structural equation modeling approach was used to calculate the direct and total effects of students’ socioeconomic background, gender, disciplines of study, and duration of university education experience on their learning approaches. The Pakistani university students’ socioeconomic classes, disciplines of study, and duration of university education experience have significant direct and total effects on their learning approaches. The variable gender did not cause a significant direct or total effect on Pakistani university students’ learning approaches. The study contributed knowledge regarding factors that impact university students ‘learning approaches in the context of Pakistan.


2020 ◽  
Vol 69 (8/9) ◽  
pp. 681-696
Author(s):  
Hamid Keshavarz

Purpose The purpose of this paper is to explore how university students assess the credibility of diverse information available on the Web. Design/methodology/approach This paper used applied study and was conducted using the survey-descriptive method. Using a randomized stratified sampling method and the Cochran sampling formula, a sample including 380 student participants was selected from Shahid Beheshti University, Tehran, Iran. Data were gathered by administrating a validated questionnaire including eight components of ethics, writing style, website appearance, website identity, professional information, accuracy, usability and interaction. Data were analyzed by software SPSS 20.0 and LISREL 8.7. Findings Confirmatory factor analysis using structural equation modeling indicated that the overall framework is reliable according to the goodness of fit indices for the measurement and structural models showing a high quality on measuring the variable in the context studied. Findings also showed that the components usability, interaction, accuracy, website appearance, writing style, professional information, ethics and website identity had the standard relevance. Practical implications Users paid more attention to semantic- and expertise-related features compared to characteristics of the source and its authority. Such preference should be taken into account by providers when producing information and students when evaluating information. Originality/value The framework underlying this research had the required quality incorporating a set of most important criteria for exploring Web information evaluation behavior by the students, which is also useful for future related studies.


2016 ◽  
Vol 9 (11) ◽  
pp. 90
Author(s):  
Elham Abolfazli ◽  
Reza Yousefi Saidabadi ◽  
Vahid Fallah

<p class="apa">The purpose of the present study is to investigate indifference management structural model in education system of Ardabil Province. The research method was integration study using Alli modeling. Statistical society of research was 420 assistant professors of educational science, managers and deputies of Ardabil’ second period of high schools that 383 individuals were selected by simple random sampling. The data collection tool was researcher-made questionnaire. Face and content validity of the questionnaire was confirmed by experts and its Cronbach’s alpha coefficient was obtained as of 0/80. In order to investigate hypothesizes of research, obtained data were transferred to LISREL software to fit Alli model of structural equation and then were analyzed. The obtained findings of the statistical analysis showed that behavior and performance of manager indirectly has a meaningful impact on indifference management variable through employee’ empowerment variables, job satisfaction of employee, organization’s culture, organizational climate and employee’ perception of the organization. Goodness of fit index (GFI) 0/92 and root mean square of residuals latent variables model was RMSEA=0/045. Therefore, the model has a good fit and has a great ability to measure main variables of research.</p>


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