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2-Way Factorial ANOVA
Factorial Design
Research Study
- Involves MORE THAN ONE FACTOR(IV)
Factorial Design Notation
Each Number REPRESENTS a Factor → 2 × 3 × 6 × 7 → 4 Factors
Value of Each Number PROVIDES the Level for each factor
EXAMPLE) 2 × 3
2(Humidity) = Low, High x 3(Temperature) = 50*, 70*, 90*
NOTE) Dependent Variable(DV) would be Learning Performance
Advantages of Factorial ANOVA
Greater Generalizability of the RESULTS
Interaction of Variables
- is the Effect of One Variable(Factor) DEPENDENT … on the Level of Another Variable(Factor)
- is the Effect of Room Temperature on Learning Performance Dependent on ____ Humidity
Requires FEWER Participants
Factoial ANOVA Research Questions
Mean Level DIFFERENCES of Learning Performance AS Temperature CHANGES Throughout it’s own Level
Mean Level Differences of Learning Performance AS Humidity CHANGES Throughout it’s own Level
Specific Combination of ALL Factors (Included in study) Effecting Learning Performance
Interactions
Means Difference BETWEEN Individual Treatment Conditions(Cells) Different From Predicted OVERALL Mean Effects
Compare Cell Means to Marginal Means

Interaction Hypotheses
Interactions: Room Temperature by Humidity
NULL HYPOTHESES:
- No Interaction BETWEEN Factor A & Factor B
ALTERNATIVE HYPOTHESES:
- Yes Interaction … Effect of Factor A On Learning Performance is PARTLY DEPENDABLE On Factor B
Interaction Graphs Characteristics
1) Do LINES INTERCEPT
YES → INTERACTION
Lines Cross … DISORDINAL
NOT Touching BUT NOT Parallel … ORDINAL
EFFECT of ONE Factor DEPENDS on the Other Factor
NO → NO Interaction
Lines DO NOT Cross
NOT Touching & Are PARALLEL
Factors Act INDPENDENTLY
2) Are Lines VERTICALLY STRETCHED
YES → MAIN EFFECT OF A
Either A1 or A2 has HIGHER SCORES Overall
Vertical GAP BETWEEN Lines
NO → NO Main Effect of A
Lines Cross
Lines SIT ON-TOP of Each Other
3) Are HEIGHTS of B1 & B2 DIFFERENT
YES; BOTH Lines go UP or DOWN → MAIN EFFECT OF B
B1 ≠ B2
NO; BOTH Lines are FLAT → NO Main Effect of B
B1 = B2
One Line going (+) & One Line going (-)