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Lab7-Factorialdesignexperimenthandout.pdf

LAB 7 Factorial Design Experiment

Lab 7

¨ Think of encountering someone on the street or meeting someone for the first time… ¤ What are the first few features you look at to decide

who this person is?

Lab 7

¨ In our experiment… ¤ Every participant in our sample, on each trial:

n Saw an image of a n Male or female n Whole face visible or upper face visible or lower face visible

n Categorized gender of person in image n Rated confidence of categorization

Lab 7

¨ Our experiment… ¤ Explore how we categorize faces as male and female

n What visual information about a face is most important?

¤ Our independent variables? n Actual gender of face in picture

n How many levels?

n Part of face visible in picture n How many levels?

¤ What’s the name of this factorial design? n 2 x 3 within-subject design

¤ Dependent variables n Accuracy of categorization, Confidence of categorization

Lab 7

¨ How do we categorize faces? ¤ Which part of face do we use to categorize? ¤ Does this differ for male faces vs. female faces?

1. Eyes 2. Mouth 3. Whole

1. Female faces # correct/8 # correct/8 # correct/8

2. Male faces # correct/8 # correct/8 # correct/8

Eyes Mouth Whole

Female faces confidence confidence confidence

Male faces confidence confidence confidence

Lab 7

¨ Hypotheses ¤ Main effect:

n Whole face easier to categorize than partial face n H1: µ whole face (male or female) > µ lower face or upper face (male or female) n H0: µ whole face (male or female) ≤ µ lower face or upper face (male or female)

n Upper face easier to categorize than lower face (Campbell, Benson, Wallace, Doesbergh, & Coleman, 1999)

n H1: µ upper face (male or female) > µ lower face (male or female) n H0: µ upper face (male or female) ≤ µ lower face (male or female)

Lab 7

¨ Hypotheses ¤ Interaction:

n Lower face easier to categorize in male pics than female pics (Armann & Bulthoff, 2012)

n H1: µ lower face male > µ lower face female n H0: µ lower face male ≤ µ all other conditions

IDing Interactions: Graphs

¨ An interaction occurs when the lines on a graph of the results are not statistically parallel

YES: Crossover Interaction

IDing Interactions: Graphs

¨ An interaction occurs when the lines on a graph of the results are not statistically parallel ¤ Is it an interaction?

YES: Spreading Interaction

IDing Interactions: Graphs

¨ An interaction occurs when the lines on a graph of the results are not statistically parallel ¤ Is it an interaction?

YES: Spreading Interaction

IDing Interactions: Graphs

¨ An interaction occurs when the lines on a graph of the results are not statistically parallel ¤ Is it an interaction? ¤ More different the

slopes, the more likely there’s an interaction

0

5

10

15

20

25

Silence Mozart

NO: Lines appear nearly parallel

IDing Interactions: Graphs

¨ An interaction occurs when the lines on a graph of the results are not statistically parallel ¤ Is it an interaction?

YES: Crossover Interaction

IDing Interactions: Graphs

¨ Interaction: when the lines on a graph of the results of an experiment are not statistically parallel ¤ If any parts of the lines are non-parallel, there is likely

to be an interaction ¤ HOWEVER, this is only a rule-of-thumb

n Must run statistics to determine whether or not an interaction is present or not

Lab 7

¨ Method ¤ Include all three subsections

n Participants: summarize number of participants, basic demographic information (number of male, female participants, average age)

n Materials: describe online experiment materials in detail n Procedure: describe the experiment from the researcher’s

perspective (what did participants experience) and be sure to include the factorial nomenclature

Lab 7

¨ Results ¤ What do you predict (hypothesis)? ¤ Let’s look first for interaction first (it’s most important)… ¤ Let’s look for main effect of gender… ¤ Let’s look for main effect of part of face visible… ¤ Report all three, whether significant or not

n “There was (was not) a significant interaction between ______ and ______, F(__, __) = ___, p = (<) ___.”

n “There was (was not) a main effect of..., F(__, __) = ___, p = (<) ___.” Do this for both possible main effects

¤ Describe the results in plain English ¤ Include line graph as Figure 1

Lab 7

¨ Title Page ¨ Abstract ¨ Introduction ¨ Method ¨ Results ¨ Discussion ¨ References ¨ Figure