HLSC647 ASSESSMENT TASK 3:Quantitative research proposal

HLSC647 ASSESSMENT TASK 3 – (Weighting 30% of your final mark) DUE 26 October 2020
For this assessment task you are required to develop a quantitative research proposal which will assist in planning your research project. There is no
generally accepted format for a quantitative research proposal so you have flexibility in how you present it. Key things to note are:
1. You should include a discussion of your data (or the data you plan to collect). This should include estimates of sample size.
2. You should include a discussion of graphs and descriptive statistics you may use and why you think they would be appropriate for your project.
3. You should include a discussion of appropriate statistical tests you may use to analyse your data and why you think they would be appropriate
for your project.
4. As every project is different you may include other items you think may be of assistance for your project.
5. I am aware that some of you have not reached the stage of having a fully planned project. That is OK. You are free to discuss what you think you
might want to do.
6. I would expect a quantitative research proposal to have approximately 1500 words. If you think you need more than this please contact me to
clarify.
7. You are not expected to do any calculations or graphs in this proposal. The purpose is for you to discuss what you plan to do.
Marking criteria and relevant unit
learning outcome(s)
Weight
Standard achieved
Excellent Very good Good Fair Poor
1. Demonstrated knowledge of
statistical terminology, concepts
and tests
Analysis demonstrates
excellent depth of
understanding of
statistical terminology,
concepts and tests
Analysis demonstrates
very good depth of
knowledge of statistical
terminology, concepts
and tests
Analysis demonstrates a
satisfactory knowledge
of statistical terminology,
concepts and tests
Analysis demonstrates
limited knowledge of
statistical terminology,
concepts and tests
Analysis demonstrates
inadequate (or no)
knowledge of statistical
terminology, concepts
and tests
5 (4½–5 marks) (3½–4 marks) (2½–3 marks) (1½–2 marks) (0–1 marks)
2. Demonstrated knowledge of
graphs and descriptive statistics
Analysis demonstrates
excellent depth of
understanding of graphs
and descriptive statistics
Analysis demonstrates
very good depth of
knowledge of graphs and
descriptive statistics
Analysis demonstrates a
satisfactory knowledge
of graphs and descriptive
statistics
Analysis demonstrates
limited knowledge of
graphs and descriptive
statistics
Analysis demonstrates
inadequate (or no)
knowledge of graphs and
descriptive statistics
5 (4½–5 marks) (3½–4 marks) (2½–3 marks) (1½–2 marks) (0–1 marks)
3. Demonstrated knowledge of
data and sample size
considerations
Analysis demonstrates
excellent depth of
knowledge of data and
sample size
considerations
Analysis demonstrates
very good depth of
knowledge of data and
sample size
considerations
Analysis demonstrates a
satisfactory knowledge
of data and sample size
considerations
Analysis demonstrates
limited knowledge of
data and sample size
considerations
Analysis demonstrates
inadequate (or no)
knowledge of data and
sample size
considerations
5 (4½–5 marks) (3½–4 marks) (2½–3 marks) (1½–2 marks) (0–1 marks)
4. Coherence and presentation
Overall coherence of discussion and
presentation including correct use of
terminology, statistical conventions
etc
Overall discussion and
presentation is excellent;
use of terminology is
correct and appropriate
Overall discussion and
presentation is good; use
of terminology is correct
and appropriate
Overall discussion and
presentation is
satisfactory; use of
terminology is generally
correct and appropriate
but requires
improvement in parts
Overall discussion and
presentation is
inadequate in parts
and/or some terminology
use is inappropriate
Overall discussion and
presentation is very
limited (or absent)
and/or serious errors in
the use of terminology
5 (4½–5 marks) (3½–4 marks) (2½–3 marks) (1½–2 marks) (0–1 marks)