IOP2601 Assignment 4 (ANSWERS) Semester 2 2024 - DISTINCTION GUARANTEED

Well-structured IOP2601 Assignment 4 (ANSWERS) Semester 2 2024 - DISTINCTION GUARANTEED. (DETAILED ANSWERS - DISTINCTION GUARANTEED!).....QUESTION 1 [8] You have recently been appointed as a research assistant at UNISA, working alongside a distinguished professor in the College of Economic and Management Sciences (CEMS). Together, you are embarking on an exciting study involving a group of 500 postgraduate research students. The focus of the study is to explore whether there are differences in the levels of commitment to research between male and female postgraduate students. (a) If you were to select 250 of the 500 postgraduate students for this research study, those selected would be your _______. (1) (b) The study examines two variables: gender and commitment. What is the dependent variable in the professor’s study? (1) (c) This type of research would be classified as ______ statistics. (1) (d) In the research article “S. W. Mvana (2023). Teacher Retention: Work Engagement, Psychological Capital, and Human Resource Retention Practices Satisfaction in South Africa. Annals of the University of Craiova for Journalism, Communication and Management, 9, 93-105,” Mvana hypothesised that work engagement is positively linked to satisfaction with human resource retention practices. What is the independent variable in this hypothesis? (1) (e) ______ variables indicate that there is a difference between categories of objects, persons or characteristics. (1) (f) Which scale of measurement uses numbers as labels that distinguish categories? (1) (g) ______ scales of measurement indicate categories that are not only different from one another, but also different in terms of rank or order. (1) (h) When participants’ opinions are labelled as strongly agree, agree, disagree, and strongly disagree, the labels are measured on ______ scales. (1) [TURN OVER] 2 IOP2601_Assignment 4_Semester 2_2024 QUESTION 2 [20] As a newly appointed research assistant at UNISA, you aim to explore the relationship between student participation in online discussions and their final examination scores. You have received a detailed report containing the participation metrics of students in online forums, alongside their final examination scores. Both metrics have been rated on a scale of 1 to 10, with 1 representing minimal participation or the lowest exam score, and 10 indicating maximum participation or the highest exam score. Your objective is to analyse whether higher levels of participation in online discussions (X) correlate with improved performance in final exams (Y). You did the summation calculations, and the answers are presented in the table below. Table 1 Students’ Data Set Σ