Highlights
Learning Outcomes This assessment addresses the following learning outcomes:
1. Understand key concepts in statistics and the way in which both descriptive and inferential statistics are used to measure, describe and predict health and illness and the effects of interventions.
2. Apply key terms and concepts of statistics, including; sampling, hypothesis testing, validity and reliability, statistical significance and effectsize.
3. Interpret the results of commonly used statistical tests presented in published literature.
Read the Riordan, Flett, Hunter, Scarf and Conner (2015) research article and answer the following questions:
1. This paper presents two hypotheses. State the null and alternative hypothesis for each one, and describe the independent and dependent variables for each hypothesis.
2. What kind of sampling method did they use, and what are the advantages and disadvantages of recruiting participants in this way?
3. What are the demographic characteristics of the people in the sample? Explain by referring to the descriptive statistics reported in the paper.
4. What inferential statistics were used to analyse data in this study, and why?
5. Regarding the relationship between FoMO scores, weekly drinks, drinking frequency, drinking quantity, and BYAACQ. Answer the following questions;
a) Which variable had the weakest association with FoMO score?
b) Which variable had the strongest association?
c) Was the association (weakest and strongest) statistically significant?
d) What are the correlation coefficients for both associations (weakest and strongest)?
e) State how much variation in weekly drinks, drinking frequency, drinking quantity, and BYAAC is attributed to FoMO scores.
f) What variables are controlled in the correlation analysis test?
6. How representative do you think the sample is of the wider population of college students in New Zealand? Explain why.
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