Examples age citizenship status education level Be able to Identify independent

Examples age citizenship status education level be

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Examples: age, citizenship status, education level
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Be able to: Identify independent, dependent and control variables 1. Independent variable (X): represent the cause of an effect (i.e. education) 2. Dependent variable (Y): represent the effect (i.e. tolerance) Identify levels of measurement Identify spurious, additive, and interactive relationships 1. Spurious relationship: a relationship that doesn’t actually doesn’t exist but it looks like it does -- the relationship between X and Y disappears when controlling for Z 2. Additive relationship: X works together with Z to produce Y -- the direction and strength of the relationship between X and Y is the SAME or VERY SIMILAR at all values of the control variable 3. Interaction relationship: the relationship between X and Y IS DIFFERENT across values of Z (control variable) Construct and interpret a frequency distribution Construct and interpret a crosstab She may give us a half completed chart and we fill out the rest Independent variable is on top in a crosstab Know how to calculate the percentages Construct and interpret a means comparison She will gives us the lines Calculate and know when to use each measure of central tendency ____________________________________________________________________________ Fill in the blanks, short answers (i.e. is this relationship additive, spurious, etc.), multiple choice Based on what we have covered so far BRING CALCULATOR (i.e. find the median) May be asked to interpret data (i.e. charts or graphs) Cross tabs, means comparison Know if a variable is at the nominal, ordinal, or interval level Zero order relationship: no control -- it’s just an X and Y
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Be prepared to calculate partial effect Whatever she taught us how to do in class, we have to know for the exam
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  • Spring '09
  • Boros

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