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Using R Markdown for Class Reports and/or R Markdown for R Studid9 There is also a Datacamp course on using R Markdown.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

You will be required to submit a paper that is produced in ft Studio and compiled using R Markdown. You will submit both the source file (with either a .Rmd or . Rnw extension) and the output (which can be Word, HTML, or pdf). Any code included in the output will not count towards the word limit. You can find out more about R Markdown here: Using R Markdown for Class Reports and/or R Markdown for R Studid9 There is also a Datacamp course on using R Markdown. Having an R Markdown cheat sheet to hand will also be helpful. We will be using R Markdown during most of the tutorials. Writing the document in this way follows best practice for quantitative research (and also data science). It will make it easier to manage your analysis and write-up.

Content

The paper should outline what your research question is and what data you will use to address it. You will then go on to analyze your data. Your analysis should include:

. Summary statistics

• Data visualisations

• Bivariate associations

• Hypothesis tests

. Regression model

. A summary of your findings

Note that the assignment is not about mindlessly churning out R output.

It is about your ability to select appropriate data and methods to address your research question and to critically interpret the output of the tests/methods.

Reading journal articles that employ quantitative methods will help you to see how your work should be written up. Strong emphasis should be put on the regression model. It is mentioned explicitly in the course’s learning outcomes, and will therefore carry significant weight in the marking. A regression model will also allow you to address other statistical concepts e.g., hypothesis testing, and bivariate associations.

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