Determination of the factors affecting pre-service teachers’ technological self-efficacy beliefs by logistic regression analysis

2021 ◽  
Vol 9 (2) ◽  
pp. 481-488
Author(s):  
Nurcan Tekin ◽  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Personal Computer ◽  
Self Efficacy ◽  
Material Design ◽  
Efficacy Beliefs ◽  
Instructional Technologies ◽  
Factors Affecting

Technology transfer to classes has become very important for teachers, regardless of their field. The purpose of this study is to determine how pre-service teachers with high and low level of technological self-efficacy beliefs are predicted by the independent variables. These variables are attitude towards technology, attitude towards instructional technologies and material design course, having a personal computer. The study sample of this relational study consisted of 193 pre-service teachers. As data collection tools, Technological Self-Efficacy Belief Scale, Attitude towards Technology Scale, Attitude towards Instructional Technologies Scale, and a questionnaire developed by researchers were administered. Logistic regression analysis, which is used when the dependent variable is categorical, was employed in data analysis. According to analysis results, the variables of having a personal computer (Wald = 4.23, df = 1, p < 0.05), attitude towards technology (Wald = 13.66, df = 1, p < 0.01) and attitude towards instructional technologies and material design course (Wald = 6.17, df = 1, p < 0.01) had a significant effect on pre-service teachers’ technological self-efficacy beliefs. Particularly, the variable of having a personal computer significantly increased pre-service teachers’ technological self-efficacy beliefs by 20%. In this context, various recommendations were offered to the researchers, institutions and instructors.

scholarly journals An Investigation of the Variables Predicting Faculty of Education Students’ Speaking Anxiety through Ordinal Logistic Regression Analysis

2016 ◽  
Vol 6 (1) ◽  
pp. 27
Author(s):  
Ebru Bozpolat
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Self Efficacy ◽  
Public Speaking ◽  
Education Students ◽  
Speaking Anxiety ◽  
Ordinal Logistic Regression Analysis ◽  
Faculty Of Education ◽  
Speech Content

The purpose of this study is to determine whether Cumhuriyet University Faculty of Education students’ levels of speaking anxiety are predicted by the variables of gender, department, grade, such sub-dimensions of “Speaking Self-Efficacy Scale for Pre-Service Teachers” as “public speaking”, “effective speaking”, “applying the speaking rules”, “organizing the speech content”, and “evaluating the speech”. Correlational survey model is employed in the study. While the dependent variable of the study is students’ “speaking anxiety”, its independent variables are gender, department, grade, and such sub-dimensions of “Speaking Self-Efficacy Scale for Pre-Service Teachers” as “public speaking”, “effective speaking”, “applying the speaking rules”, “organizing the speech content”, and “evaluating the speech”. The research population consists of 2983 students studying at seven departments of Faculty of Education of Cumhuriyet University in the 2015-2016 academic year. The research sample, on the other hand, is composed of 1057 students from seven departments of Faculty of Education of Cumhuriyet University. Data were collected via “Scale of Speaking Anxiety for Prospective Teachers”, which was developed by Kınay and Özkan (2014) to determine pre-service teachers’ speaking anxiety, and “Speaking Self-Efficacy Scale for Pre-Service Teachers”, which was developed by Katrancı and Melanlıoğlu (2013) to determine pre-service teachers’ speaking self-efficacy. Data were collected through ordinal logistic regression analysis as the dependent variable was made three-category and ordinal through cluster analysis. According to the logistic regression analysis results, gender, department, such sub-dimensions of “Speaking Self-Efficacy Scale for Pre-Service Teachers” as “public speaking” and “applying the speaking rules” have a significant influence on speaking anxiety.

scholarly journals Factors Affecting Palm Farmers’ Decisions to Dispense Plantage-Product Zakat in Labuhanbatu Selatan Regency

2018 ◽  
Vol 3 (3) ◽  
pp. 13-24
Author(s):  
Amalia Agustin Syn ◽  
Khalifah Muhammad Ali ◽  
Didin Hafidhuddin
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Fresh Fruit ◽  
Factors Affecting ◽  
Fresh Fruit Bunches ◽  
The Many

Zakat is one of the five points in rukun Islam and consists of two types: zakat nafs (soul) and zakat maal (wealth). One of the many kinds of zakat maal is plantage-product zakat. Labuhanbatu Selatan Regency is an area that contains 160,785.04 hectares of palm plantation land as recorded in 2016. The area also produced 7,493,696.18 tons of Fresh Fruit Bunches (FFB) in the same year. The objective of this study is to identify the potential of plantage-product zakat (specifically palm plantage) and analyze the factors that affect farmers’ decision to dispense plantage-product zakat in Labuhanbatu Selatan Regency. Logistic regression analysis was the method of analysis used in this study. Based on data obtained from Dinas Perkebunan Provinsi Sumatera Utara 2016, the potential of plantage-product zakat in Labuhanbatu Selatan Regency reached 25.6 billion rupiahs in 2014; 21.6 billion rupiahs in 2015, and 370.4 billion rupiahs in 2016. The variables that significantly affected farmers’ decisions to dispense plantage-product zakat were comprehension of zakat, faith, rewards, Islamic study, and frequency of worship.

scholarly journals Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

2020 ◽  
Vol 7 (3) ◽  
pp. 848
Author(s):  
M. Mizanur Rahman ◽  
M. Taha Arif ◽  
Fready Luke ◽  
Santha Letchumi ◽  
Fatin Nabila ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Internet Use ◽  
Binary Logistic Regression ◽  
Problematic Internet Use ◽  
The Internet ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting

Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.

Analysis of cognitive characteristics and influencing factors of mass sports rehabilitation in Taiyuan

2019 ◽  
Author(s):  
Yaye He ◽  
Jiangong Wang ◽  
Liangyuan Zhao
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Health Status ◽  
Influencing Factors ◽  
Logistic Regression Analysis ◽  
Education Level ◽  
Factors Affecting ◽  
Exercise Rehabilitation ◽  
And Gender ◽  
Socio Economic Factors

Abstract Background: To assess the awareness regarding sports rehabilitation among residents of Taiyuan. Method: From September 27, 2018 to March 29, 2019, 1200 residents who met the inclusion/ criteria were selected using convenient sampling method. The population was surveyed by self-designed questionnaires, and single factor and two-category logistic regression analysis (stepwise forward method) was used to identify the factors influencing awareness of mass sports rehabilitation in Taiyuan. Results: A total of 1200 questionnaires were issued, of which 1167 were collected and 1101 were valid. The corresponding recovery and effective recovery rates were 97.25% and 94.34% respectively. The overall rate of awareness of exercise rehabilitation was 80.7%, and education level, occupation, income and health status were significant influencing factors (R<0.05). The results of two-class logistic regression analysis showed that age, occupation, education level, income level and health status were the influencing factors affecting the public's perception of the sports rehabilitation concept (R<0.05), whereas gender, occupation, education level and health status influenced understanding of the establishment of the rehabilitation department in Taiyuan (R<0.05), and gender, age, education level and health status affected understanding of the types of patients receiving rehabilitation (R<0.05). Conclusion: There is a high general awareness regarding sports rehabilitation, and is influenced by various socio-economic factors.

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

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824402090208
Author(s):  
Yeliz Eratlı Şirin ◽  
Mustafa Şahin
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Academic Success ◽  
Physical Education ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Factors Affecting ◽  
Course Success ◽  
Effective Factor ◽  
The Way

In this study, the factors affecting the success of university students were analyzed by logistic regression analysis. In the study, success variable was defined according to the survey information applied to 360 university students studying in School of Physical Education and Sport in Çukurova University and Kahramanmaraş Sütçü İmam University in Turkey, in 2017–2018 academic year. The relationship between the answers to the Likert-type scale questions affecting success variables and the course success was estimated by logistic regression analysis. According to the results of the research, because independent variables such as mother’s education status, age, and class were statistically insignificant, they were not included in the multivariate model. According to the findings, variables such as gender, the university they studied, the way they chose their department, and father’s education are seen as important in the growth of students’ academic success. In addition to this, the variables such as counseling about their profession, support of department’s instructors, and communication with instructor have been found to be considerably effective on success. It was observed that the way they chose their department (willingly–compulsorily) was the most effective factor, and father’s education was the second effective factor. As a result, the success levels of the students were found to differ according to the sociodemographic characteristics and their relations with the instructors. On the contrary, as the instructors’ guidance, support, and communication skills are effective contributors on student’s success, it has been concluded that instructors should take these factors into account.

scholarly journals Factors affecting the occurrence of proximal endoleak after endovascular abdominal aortic repair for abdominal aneurysms

2020 ◽  
Vol 48 (11) ◽  
pp. 030006052097151
Author(s):  
Daniela Mazzaccaro ◽  
Girolomina Mazzeo ◽  
Gianmarco Zuccon ◽  
Alfredo Modafferi ◽  
Giovanni Malacrida ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Aortic Aneurysms ◽  
P Value ◽  
Chi Square ◽  
Factors Affecting ◽  
Axial Diameter ◽  
Abdominal Aortic ◽  
Type Ia

Objective This retrospective study was performed to assess the clinical and radiological variables associated with proximal type IA endoleak (EL) in patients treated with elective endovascular repair for abdominal aortic aneurysms. Methods The chi-square test, t-test, and logistic regression analysis were performed as appropriate. A P value of <0.05 was considered statistically significant. Results The data of 79 patients were analyzed. No mortality occurred. During follow-up (median, 28.5 months; interquartile range, 12.8–43.0 months), 10 patients developed type IA EL. In the logistic regression analysis, undersizing of the endograft diameter by <10% significantly affected the occurrence of type IA EL. When the diameter was used for measurements, less oversizing was significantly associated with a higher risk of type IA EL. When the area was used for measurements, oversizing of >20% significantly affected the occurrence of type IA EL. Conclusion When sizing endografts, a discrepancy was noted between the measurements of the diameter and area of the proximal neck. The area might represent a more accurate measurement than the axial diameter to optimize the proximal sealing and lower the risk of developing type IA EL.

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