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Association. An Introduction to Concept Correspondence. Pesticides and Organic Food. Pesticides and Organic Food. What is the dependent variable? A. Pesticides B. Organic food C. There is no dependent variable D. There is no variance. Conditional proportions.
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Association An Introduction to Concept Correspondence
Pesticides and Organic Food • What is the dependent variable? • A. Pesticides • B. Organic food • C. There is no dependent variable • D. There is no variance
Conditional proportions • Why do we estimate conditional proportions? • A. So that we can predict an outcome based on certain conditions • B. So that we can help make a causal inference between a condition and an outcome • C. So that we can estimate frequency distributions based on certain conditions • D. All of the above
Independence • What does a conditional proportion look like if the condition and the outcome are independent? • A. The outcome varies across different conditions • B. The condition is independent of the outcome • C. The frequencies are the same, regardless of the condition • D. The outcome varies, but is independent of many conditions
Types of relationships • Linear • Spurious • Intervening • Interaction effects • Suppression
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 in columns • Percentages should be calculated using COLUMN • Dependent variable always in rows