Reference no: EM13661614
Research methods
Questionnaire will be built to measure feelings (attitudes) of students towards distance education, using Quantitative and Qualitative method, and it will be distributed via social media (electronic questionnaire) (Alkhattabi, 2014; Luo, Robinson & Detwiler, 2014). Those methods are chosen to achieve best results and because it used in researches of attitudes topics. The sample will be n=50 business college students' who use the learning management system (TADARUS) at Imam Mohammad bin Saud University practicing distance education. The sample n=50 included both gender (male and female) of students at all of eight levels at college of Business and the students of sample chosen randomly.
The questionnaire was distributed to the students to participate in a web-based questionnaire. The first part of the questionnaire was in field of students' attitudes. This part contain 12 questions, respondents were asked to choosing a specific answer based on a five-point scale, and two of the questions were qualitative, to allow to students describe their opinions about merits and disadvantages of Distance Education. While the second part focuses on interaction in Distance Education. In this part the questions were six, and the answers based on a five-point scale. (Appendix 1).
Normality tests were conducted after input data in SPSS, to determine if the research data set were well-modeled by normal distribution and the Date were Non-normally distributed. And because there are definite outliers the non-parametric test was adoption, such as Kruskal Walis.
A frequency analysis was conducted for all the variables to check if there are mistakes or missing values. The research results for variables frequency analysis showed that the data was valid and ready to be analyzed. Also, reliability test as Cronbach's coefficient alpha conducted to check research results would be the same with different sample.
Exploratory Factor Analysis with principal component analysis as extraction method was used, such as component matrix, KMO.
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