# Week 8

important: THERE ARE NO MEETINGS IN WEEK 6 and 7!

week 8: 12-2 PM

week 9: 12-3 PM

week 10: 12-3 PM

homework week 8

- study of core reading (Chapter 9, 10 and 11 in book by Healey)

- SPSS replication exercise (see below)

- working with SPSS, make exercise 7 (Einspruch 2005: p. 87)

SPSS exercises week 8

Try to replicate Tables 1, 2, 3 of article by Blais and Carty. Use the SPSS programme, the appropriate data and the correct statistical techniques for your replication

SPSS exercises week 8

Question 1:  From the British Elections Data, choose 3 ordinal or I-R level variables. (What are the definitions of your variables? What are the measurements of your variables? What are the levels of measurement of your variables? Describe the variables in a correct way. Present frequency distribution tables, pie charts, bar charts, and/or line charts). Use the Descriptives and Explore command to get means and standard deviations for each variable. Formulate both null- and alternative hypotheses, and use the Descriptives and Explore command to construct 95% confidence interval estimates of the population mean. State the interval and describe the results as you would in a formal research report.

Question 2 A:  From the Global Indicators Data, focus on the freedom score of countries in 1989. This score runs from very free (1) to not free (7) which is a bit counterintuitive. Hence, recode these scores from not free (1) to very free (7). Advice: create first a new variable before the recoding!

Question 2 B:  Focus on your new ‘freedom variable’. Use the Frequencies command to get frequency distributions. Choose one category of the variable (e.g., “very free” for the freedom house scores) with the Select if command and find out what the mean of the GNP per capita is for this category only.

Question 2 C:  From the Global Indicators Data, focus now on the amount of trade in the 1990s, military expenditure in 2000, and corruption in 2000. Use the Descriptives and Explore command to get means and standard deviations for each variable and construct 95% confidence interval estimates of the population mean. State the interval and describe the results as you would in a formal research report.