SPSS Assignment
NOTE: Students should follow the PO217 SPSS handbook available on MLS to complete this assignment. SPSS is available for free through Laurier’s website. To access SPSS, follow the instructions outlined in the “How_To_Access_SPSS” file available on MLS. Students who wish to work from a trial version or a rental version of SPSS are welcome to do so. You will need to save a copy of the 2019 CES dataset (available on MLS) to your Laurier personal drive (OneDrive / personal drive) that you can access via the web-based version of SPSS.
For this assignment, students are required to open the 2019 CES dataset (available on MLS), explore the variables available in the dataset, and develop a “working” research question and corresponding hypothesis. Students must then identify TWO variables from the dataset that may be used in subsequent work to test this question. Please note the level of measurement for each of these variables. Students must then report the frequency distribution, appropriate measure of central tendency, and the measure of dispersion for both variables (note that SPSS does not provide a measure of dispersion for nominal level variables. Students should calculate this on their own). Students should follow the outline from the example below for this assignment. The variables used in the example may not be used for the assignment. In addition, students are also required to submit a copy of their SPSS output file in PDF format. Your assignment must be submitted via MLS as a .doc or .docx file.
Assignment Example:
Research question (1 point): Does satisfaction with the way democracy works affect the likelihood of voting?
Hypothesis (1 point): Individuals who are more satisfied with the way democracy works will be more likely to vote.
Dataset: CES 2019
DV (4 pts total): Voted in the 2019 Canadian federal election (p2) nominal level
IV (4 pts total): Satisfaction with the way democracy works in Canada (q6) ordinal level
DV univariate statistics and frequency distribution:
The mode (1, representing “Yes”) is the appropriate measure of central tendency for nominal level variables.
The variation ratio is the appropriate measure of dispersion for nominal level variables. VR = 1 – the number of cases in the modal category (2697 respondents) divided by the total number of cases (2872 respondents. NOTE: Do NOT include MISSING CASES).
VR = 1 – (2697/2872) or 1- 0.939 =0.061
ALTERNATIVLY VR= 100% - % of cases in the modal category (93.9%) 100% - 93.9%=6.1%
VR=0.061 or 6.1%
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