Highlights
Task 1: Analyse a data set and respond to research questions provided. Produce a research report with supporting statistical evidence.
Intended Course Outcomes to be demonstrated:
Determine an appropriate method of analysis.
Describe and analyse group data using the statistical package SPSS.
Interpret the results of analysis and write reports of results.
The data set provided for this task has been drawn from the publicly available PISA data (the OECD's Programme for International Student Assessment), in this case the ‘school survey’, typically completed by each sample school’s principal. You will also find the technical manual explaining what each question and variable is AND how scale variables have been constructed. You will find the scales toward the bottom end of the variables.
There are also ‘weighted’ variables in the set which I have left there in case anyone wants to explain sample weighting as an issue. (That is an advanced issue, so I don’t expect it from the class, but if you think you want to understand how to approach advanced sampling issues, you will find some of the best technical work on that in the PISA surveys.)
Using the data set provided, produce a report that responds to the following questions. To address the questions, you will need to choose two scale outcome measures (dependent variables), from among the many in this data set. For each question below, use both numeric and graphic representations to present what you find, and explain your results and interpretations textually (in prose exposition):
How would you describe the overall distribution of your chosen two or three dependent scale variables available in the data? (For this consider the overall sample mean, n, standard deviation, skew and kurtosis.)
Select at least two different school context variables (independent variables), one each of a nominal grouping and a continuous (scale) measure. How do your chosen dependent variables differ between your chosen independent measures? That is, compare the descriptive statistics of the outcome variable based on the context variable differences, as denoted by the appropriate variable. Determine which differences are statistically significant, and determine the relevant effect size for any differences using conventional formula.
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