POL3371 Short Assignment

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School

University of Ottawa *

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Course

3371B

Subject

Political Science

Date

Apr 3, 2024

Type

docx

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1

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POL3371 Short Assignment The take-home short assignment is due by the end of February 9. Completed assignment and relevant SPSS output, which includes a login id, have to be submitted by uploading them as a single file or separate files in Word or pfd format to the Assignment section of Brightspace. This assignment is individual. The textbook, notes, and Wooclap summaries of lectures are allowed. The World Values Survey SPSS data file is available on Brightspace. Answer each question and provide your SPSS output that is relevant to these questions. Use SPSS and the World Values Survey dataset and find frequency distribution tables and appropriate measures of central tendency of the following two variables: confidence in political parties and sex. Use cross-tabulation analysis and Chi Square test to test a research hypothesis that confidence in political parties in Canada differs by sex. 1. What is the type of each of these variables? - ‘Confidence in political parties’ are ordinal variable, and ‘sex’ is nominal variable. 2. What are appropriate measures of central tendency and their values for each of these variables? - For ‘confidence in political parties’, mode and median are the appropriate measures, and for ‘sex’ it is mode. 3. What are the dependent and independent variables in this research hypothesis? - The dependent variable will be ‘confidence in political parties’ and the independent variable will be ‘sex’. 4. Is relationship between these variables statistically significant? - Yes, the relationship between these variables is statistically significant. 5. What is the level of statistical significance (probability that relationship between two variables can be attributed to chance)? - The level of statistical significance is <.001 6. Do results of the cross-tabulation analysis and Chi-square test support the research hypothesis? - Yes, it does support the research hypothesis.
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