Data Analysis

2.1. Research Questions (RQs) is attached, primary hypotheses and the questionnaire
you proposed in A2, and present the new version. Please see the attached questionnaire
2.2. Provide clear definitions (conceptual definition and operational definition) of variables (IVs & DV) for the hypotheses. (upto 250 words)
Tip: A hypothesis is a formal, testable statement that predicts the relationship between two or more variables (usually
between an IV and a DV). This relationship can be in terms of either an association or a difference.

3. Research methods and sample (10%) — survey has been sent to the university students only (sample is same university students)
3.1. Explain your quantitative research method & sampling method & procedure (upto 200 words)
4. Data analysis (40%) (upto 250 words)
4.1. Explain what you may have to do to ensure good reliability & validity of your measurements
4.2. Report how you conduct statistical analyses to test your hypotheses
Tip 1: You need to conduct regression to test your primary hypotheses (relationships between IVs and DV).
Tip 2: To earn high scores, you need to demonstrate your ability to conduct various statistical analysis (such as T-test,
ANOVA, correlation, and Chi-squire test).
Tip 3: you should choose appropriate statistical tests based on your purposes and type of your variables.