A researcher wanted to investigate whether perception of intelligence is influenced by a person's facial expression and/ or gender. Some photos were of males; others were of females, and within each of those groups, some were smiling whereas others had neutral facial expressions. All 12 participants were shown the same photo set. This means each participant judged every condition - male smiling; male neutral; female smiling; female neutral. Data are the average perceived intelligence scores for each condition per participant:

	Smiling pictures	Neutral pictures
	Male photos	Female photos	Male photos	Female photos
Participant A	8.7	8.2	8.5	9.0
Participant B	9.1	8.0	9.0	8.5
Participant C	8.3	9.0	8.3	8.4
Participant D	9.5	8.8	9.4	9.2
Participant E	9.0	8.2	8.9	8.8
Participant F	7.7	7.0	7.8	7.5
Participant G	8.6	8.8	8.5	8.0
Participant H	8.5	7.3	8.4	7.7
Participant I	9.1	6.5	9.2	6.5
Participant J	9.2	8.0	9.1	8.1
Participant K	8.2	8.1	8.1	8.3
Participant L	8.0	7.5	7.9	7.9

1. How many factors are in this scenario? For each clearly labeled factor, state how many levels it has and list them. Also label each factor as "BS" or "WS".

ANSWER BS has two factors which are Male and Females photos and WS has two factors which are the Smiling and Neutral Pictures.

1. Paste all relevant statistical output in the space provided below:

ANSWER

1. An appropriate graph(s) in SPSS and paste it in the space provided below (note select only the most relevant but you must have at least one - points will be deducted for additional graphs that are not the best choice based on the results of the analysis). (4 pts) HINT ON THIS PARTICULAR SCENARIO: If you need to create a graph for a significant ME, you will have to average the two columns for each particular level (e.g., if the ME Gender is significant, you'd want to compute a new variable that averages the scores for smiling_male and neutral_male, and another new variable for smiling_female and neutral_female, then you would create the appropriate graph for those two columns). It is highly recommended you have SPSS calculate these for you to reduce error (see this week's presentation in for SPSS - example 2 shows how to create an "averaged" variable).

ANSWER

1. this includes a full write-up to include a complete statistical notation as shown in the weekly presentations. The write-up also needs interpretation. If significant, state how. If it is not significant, what does that mean in layman's terms?

ANSWER