positive monotonic relationship
there is a positive relationship between the variables, but it is not a strictly positive linear relationship
curvilinear relationship
A relationship in which increases in the values of the first variable are accompanied by both increases and decreases in the values of the second variable.
Increase the Number of Levels of an Independent Variable
what is needed for the following?
Can provide more information about the relationship than a two level design
Necessary to detect curvilinear relationships
Three levels is minimum requirement
Inverted-U
Positive monotonic relationships
Helps to compare tw
factorial design
Experimental designs with more than one independent variable (or factor)
2x2
what is the simplest factorial design?
main effect
The effect of an independent variable on its own (factorial design)
interaction
The effect of one independent variable that depends on the level of another independent variable
Interactions not measurable in simple experimental designs
IV x PV design (Independent Variable by Participant Variable)
Factorial designs with manipulated and non-manipulated variables
Show effects of participant variables (such as age)
simple main effect
analysis examines mean differences at each level of the independent variable.
independent groups (between-subjects) desi
which design is the following?
requires the largest number of participants as a different set of individuals is assigned to each condition.
repeated measures (within-subjects) design
which design is the following?
requires the fewest participants as the same individuals take part in all conditions.
mixed factorial design
which design is the following?
establishes a unique set of individuals for one variable but not the other and then tests these groups repeatedly, requiring a number of participants that lies between those used by the other two approaches.