7. Create 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 8. Present the results using APA format. 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? Additional examples of APA results sections are also available in the "Helpful Hints" document. (5 pts) ANSWERA researcher wanted to investigate whether perception of intelligence is inuenced 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 Factorial SPSS (3) Assignment |nstructions.docx PSYC 515 SPSS M3 1 FACTORIAL DESIGN SPSS WORKSHEET INSTRUCTIONS OVERVIEW This worksheet is designed to assess your ability to perform, interpret, report, and graphically present various factorial designs. These are some of the most sophisticated analyses in our eld and require practice and thought to perform and interpret. These tests can yield conclusions that change the direction in one's eld. Being able to critically evaluate such results is paramount to maintaining competency in one'S eld, and being able to produce such analyses in a competent manner is a coveted skill in our eld. INSTRUCTIONS Be sure you have reviewed this module's assigned readings and presentations before completing this assignment. This assignment is worth 50 points. Each question is worth 3 content points except where otherwise indicated (graphs are worth 4 points; results write-ups are 5 pts each- 45 content points total). Five (5) points are assigned to general formatting. This includes using ensuring the homework is completed and submitted according to the instructions, SPSS output and images are legible and relevant, and that basic college level writing skills (e. g., grammar) are used in the write-ups. Answers Should be placed where indicated (e. g., \"AN SWER\"). Note: all questions must be attempted to be eligible for full credit of \"format\" points. 0 Please note that for all problems in this course, the standard cut-off (alpha) for a test of signicance will be .05, and you always report the exact power unless SPSS output states p=.000 (you'd report p<.001 also remember that we divide the p-value in half when reporting onetailed tests with l groups. to check your graphs you often have add y axis title. bs factors are entered into spss by having two columns regardless of number levels. one column is used identify levels male female and a second for dv values. contrast entering ws factor will same as do so if four freshman sophomore junior senior values each per level. see this week corresponding presentation visual examples. examples practice worksheet explicitly shows how perform factorial design or more no skills gure it out without example like submit le word document .docx make sure lename submission includes full name course section. example: spss3_johndoe_515b01>