Investigation of Factors Affecting the Achievement of University Students with Logistic Regression Analysis: School of Physical Education and Sport Example

Şirin, Yeliz Eratli; Şahin, Mustafa

doi:10.1177/2158244020902082

Cited by 16 publications

(13 citation statements)

References 28 publications

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“…Thus, the dependent variable in this model is the probability of an event with a certain value from the explanatory variable [ 36 ]. Furthermore, if the data does not have a normal distribution or mutual covariance, the binary logistic model can be used instead [ 37 ].…”

Section: Methodsmentioning

confidence: 99%

Webinar among Indonesian academics during Covid-19, embracing the audiences

Priatmoko

Hossain

Rahmawati³

et al. 2022

PLoS ONE

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This research aims to find out the phenomenon of webinar competition from the viewpoint of the audience. Covid-19 pandemic makes webinars a means for knowledge dissemination. Many events offered turned out to be a tight competition among organizers and caused a different response for the audience. Academics participants’ responses had never been known in depth so that they could be the basis for determining the strategy for the organizers. Using quantitative data through online surveys to further interpreted with the help of previous literature. The independent variables gender, age, frequency, cost, and place are used to determine their effect on loyalty, which is represented by the length of duration in participating in each webinar. The effectiveness of webinars as a means of disseminating ideas in the pandemic era still faces various challenges. Among academics, the loyalty at the webinar event is influenced by gender and age. It is important for organizers to effectively communicate to webinar participants so that they get the message they want to convey.

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Section: Methodsmentioning

confidence: 99%

Webinar among Indonesian academics during Covid-19, embracing the audiences

Priatmoko

Hossain

Rahmawati³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…This model is based on the cumulative logistic probability function, and the dependent variable is the probability of an event having a specific value from the explanatory variable [68]. The binary logistic model may also be an alternative when the data do not have a normal distribution and mutual covariance [69].…”

Section: Discussionmentioning

confidence: 99%

Word of Mouth, Digital Media, and Open Innovation at the Agricultural SMEs

Wicaksono

Nugroho

Lakner

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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Small and medium enterprises (SMEs) must continue to combine technology and market adaptation or open innovation to sustain their business. One of these ways is to promote their products and services extensively. This study investigated the best media to promote SMEs in the local agricultural markets of Hungary. This study uses an approach of asking consumers where they receive information about SMEs and their determinants. Research questionnaires were distributed to 156 consumers who purchased agricultural products on the Budapest Central Market Hall. The data were analyzed using a binary logistic model. The studies showed that consumers obtain market information through word-of-mouth and digital media. Older consumers tend to receive information through word-of-mouth, while consumers who rarely interact with others or who are educated or foreign choose digital media. Therefore, SMEs in Hungary’s local agricultural markets have yet to focus on developing promotional activities through these two media. For the future, recommendations are given to SMEs in Hungary to maintain the quality of products and services and to develop two-way communication in digital media (e-WOM).

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“…Based on the results of the research, it can be suggested that the instructors guide and support the students in order to increase the career values and awareness of the students. In their research, Eratlı Şirin and Şahin [30] stated that the creation of a school environment based on the counseling of instructors in institutions that train physical education teachers is a very important factor in terms of mutual trust, communication and support, which students need, in terms of awareness of students.…”

Section: Discussionmentioning

confidence: 99%

Examining the professional career values and career awareness of athlete- students: the sample of the faculty of sports sciences

Döşyilmaz

Şirin

2021

PES

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Background and Study Aim. Athlete-students continue their athletic careers at a professional level during their education, or many try to pursue alternative career paths. While much attention has been given to Athlete-students' academic progress and graduation rates in the literature, little attention has been paid to their attitudes towards career values and career awareness. Therefore, this study aimed to determine the career awareness and career values of athletes-students according to some demographic variables. Material and Methods. This cross-sectional descriptive-correlational study was performed in the Sports Science Faculty of Kahramanmaras Sutcu Imam University of Turkey which forms the universe of the study. A total of 334 (162 female and 172 male) athletes-students who were undergraduate students in the sports sciences faculty of the university participated in the research. The data collection tool in the study "Professional Career Awareness Scale", and "Career Values Scale" was used. T-test and One-Way ANOVA tests were used to perform the differential analysis and Pearson Correlation analysis was used to determine the correlation between variables. Results. According to the results of the research, it was found that scores of the professional career values and career values of the athletes-students were at a moderate level. It was observed that the students' career values dimensions perception scores differed according to their perception scores and gender, department, class, age variables; there was no difference between the variable of being a licensed athlete and the dimensions. Differences were observed between career awareness dimensions, professional development disposition, and department and age variables. There was no difference between career awareness dimensions and gender, status of being a licensed athlete, and class variable. In addition, it is seen that there is a low and moderate relationship between professional career awareness and career values sub-dimensions. Conclusions. According to these results, it can be said that due to the lack of standardized measures of athlete-student career development, career awareness and career values are at a moderate level and their perceptions differ according to their demographic characteristics.

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Investigation of Factors Affecting the Achievement of University Students with Logistic Regression Analysis: School of Physical Education and Sport Example

Cited by 16 publications

References 28 publications

Webinar among Indonesian academics during Covid-19, embracing the audiences

Webinar among Indonesian academics during Covid-19, embracing the audiences

Word of Mouth, Digital Media, and Open Innovation at the Agricultural SMEs

Examining the professional career values and career awareness of athlete- students: the sample of the faculty of sports sciences

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