Crosstabs

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# Crosstabs - PowerPoint PPT Presentation

Crosstabs. Types of relationships. Linear Spurious Intervening Interaction effects Suppression. Linear effects. Theory: National pride (alienation). When people feel alienated from the political system, then they may be more likely to participate in politics.

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## PowerPoint Slideshow about 'Crosstabs' - pabla

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Presentation Transcript

### Crosstabs

Types of relationships
• Linear
• Spurious
• Intervening
• Interaction effects
• Suppression
Theory: National pride (alienation)
• When people feel alienated from the political system, then they may be more likely to participate in politics.
• When people feel national pride in the political system, then they may be less likely to participate in politics.
• Measure:
• How often do you feel ashamed of Russia? very often, rather often, not very often, hardly ever
Dependent variable: political participation
• People either participate or they do not.
• There are 31 questions about different political activities.
• How should this variable be measured?
Measure of political participation

freq vars = polpartbes2.

Crosstabs analysis
• Like a frequency table, it reports how many and what percentage fall into a particular category, but for two variables instead of one
• Not suitable for continuous variables; only for discretely measured variables
• It is sometimes useful to recode a variable with too many categories FOR THE PURPOSES OF ILLUSTRATION ONLY
Conventions
• the independent variable is arranged across the top of the table
• Percentages should be calculated using COLUMN
• Syntax: crosstabs tables DV by IV /cells = coll.
Creating collapsed variables
• compute polpartbesc = polpartbes.
• if polpartbes > 1 polpartbesc = 2.
Syntax: missing and crosstabs
• Some useful syntax:
• missing values ashamerus (7,8,9).
• crosstabs tables = polpartbesc by ashamerus/cells = col/stats = corr.
Syntax for scatter plot

GRAPH

/SCATTERPLOT(BIVAR)=ashamerus WITH polpartbes

/MISSING=LISTWISE.

Notice that there is no need for extra categorization – so we used polpartbes, not polpartbesc.