Lab

Correlational Studies

• Two measured variable that are not manipulated

• Quantitative Variables

Should operationally definitation a construct ( one word/ one theme) by providing it with a metric

• Should state how the variable will be measured

Can make predictions, but no relationship

Limitations on interpretting a signiifcant correlation

• Directionality Problem 

  • We don’t know which variable effects the other

• Third Variable

Benefits to Causational Studies

• To discover if there is a relationship between variables

• Use it as a baseline to see if research should be conducted

Proverbs → Perceives truth based on common sense

• Research gives us the baility to investigate them

  • Establish empirical truth of a particular assertion

• Create a Deeper Understanding on an incomplete phenomenon

  • How and why a variable affect the other

• an apple a day keeps the doctor away (negative correlation→ on a perceived truth)

  • Literal and general interpretations

  • Literal: apples eation and doctor visits in a year

    • Predictor: # of apples eaten per day

    • Criterion: # of doctor visting during a one year period

  • Genera:: healthy actiivties and doctor visits in one year

    • Predictor: # of healthy activities engaged in each day

Described variables may capture either a literal or a more general intepretaion of the given proverbs