PSYC 110 Chapter Notes - Chapter 2: Institutional Review Board, Birth Weight, Confounding
Document Summary
Used to test the relationship between two or more variables. +1= perfect positive correlation (the variables are changing in the same direction) Example: increase in 1st variable= increase in 2nd variable. 1 = perfect negative correlation (the variables are changing in opposite directions) Example: increase in 1st variable = decrease in 2nd variable. 0= no correlation at all (there is no relationship between the 2 variables) Sleep and concentration = +. 5 (as sleep increases, so does concentration) Studying for psych and grade on exam = +. 7. Independent variable (iv): what you"re controlling or manipulating. Essentially the cause in the experiment: dependent variable (dv): the result of what might change. The effect: confounding variables: any factor that effects the dependent variable other than the independent variable. Random sampling: every member of the population has an equal chance. Experimenter manipulates nothing: participants are not randomly assigned.
