File two is the assignment. It will be approximately 250 words. Factorial Design. I need to obtain a...

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File two is the assignment. It will be approximately 250 words. Factorial Design. I need to obtain a score of at least 45/50PSYC 515 Page 1 of 5  HELPFUL HINTS FOR SUCCESS IN PSYC 515   Index of Topics:   How to Actively Practice Concepts  Overview and Strategy for Quizzes  Writing Results in APA – Hints and Examples (with statistical notations)  Statistical Decision Flow Chart (helps you select the most appropriate test AND graph)              How to Actively Practice Concepts  Before completing any assignment, read the module’s assigned readings and watch the presentations. Complete  the Critical Thinking Checks embedded within the “Research Methods and Statistics” text. For extra practice,  each chapter of the “Research Methods and Statistics” text has a review section that contains Chapter Exercises  and a Chapter Review. The answers are provided to the odd numbered “Chapter Exercises” and for every  question in the “Chapter Review”! The Chapter Exercises gives you a great opportunity to practice hand  calculations and SPSS similar to our homework assignments. The Chapter Review is more conceptual, and is  similar to our quizzes.     The e-book “A Simple Guide to IBM SPSS Statistics” (Parts I and II) is for helping with SPSS. You should work  through their Sample Problems using SPSS yourself for additional practice (your output should match that in the  e-book). Finally, the Publication Manual is required in the course – use it as a guide for all APA style formatting  questions (note it doesn’t give specific examples of statistical notation write-ups – those are only provided in the  powerpoint lectures!).             Overview and Strategy for Quizzes  Quizzes focus on concepts and theory whereas homework requires use of SPSS. There is NO use of SPSS for your  exams, although there are some hand-calculations. You have 90 minutes to complete 40 multiple choice  questions. Make sure you’ve given yourself ample time in your schedule so that you are not rushed. You can  have as many browsers open as you want, so feel free to open all presentations, e-book chapters, et cet that  were particularly helpful before beginning the exam. Read all answer options. Some times “all of these options”  or “none of these options” is the correct answer. If you select the first “right” answer you see, you may miss  these! For questions that are particularly difficult, answer to the best of your ability and record that question  number. Revisit if you have time at the end of your quiz.       PSYC 515 Page 2 of 5  Example Results (with statistical notations) in APA Format for PSYC 515    Helpful Hints Regardless of Test:   • If the “sig” column in SPSS is a number equal to or higher than .05 that means you fail to reject the null  hypothesis and conclude it was NOT significant.  • If the “sig” column in SPSS is less than .05 (e.g., .048, .03, .001) that means you REJECT the null hypothesis  and conclude there is a significant effect. If df = 1 then just look at the means to interpret HOW it is  significant (if correlation, look to see if it is positive or negative to interpret). If df > 1 then you need to  conduct the appropriate post hoc analysis to interpret it more fully.   • **Always report EXACT p value from SPSS output unless SPSS states .000, then you write p.05).     PSYC 515 Page 3 of 5  Repeated measures ANOVA – how to run this test in SPSS is shown in Module 1  A One-Way Repeated Measures ANOVA was conducted to examine whether a preceding situation (watching a  video of helping behavior, seeing first-hand someone help another person, or a neutral control condition)  influenced the number of helping behaviors expressed by people. The null hypothesis was rejected - there is a  difference between the control, video, and live conditions in number of helping behaviors F(2, 14) = 4.20, p =  .037, Ƞp2 = .375. Post hoc pairwise comparisons revealed that the control group had significantly fewer helping  behaviors than the live group (p=.015). No other comparison was significant (p>.05) (see Figure 1).     Factorial Design – how to run this test in SPSS is shown in Module 2 *note you must report each main effect (one  per variable) and all interactions (if you have two variables you will only have one interaction). If anything is  significant with df > 1 you will need to conduct an appropriate post hoc analysis, as shown on slide 28 in the  Factorial Designs in SPSS presentation in Week 2.   A 2 x 3 ANOVA was conducted to assess the effects of sex (male/female) and diet type (calorie restriction,  ketogenic, and vegan) on weight loss. There was no main effect of sex [F(1,54) = 0.054, p=.816, Ƞp2=.001] and no  main effect of diet [F(2,54) = 2.447, p=.096, Ƞp2=.083 ]. The interaction of sex x diet was significant [F(2,54) =  3.585, p=.035, Ƞp2=.117]. Post hoc analyses were conducted using independent samples t-tests for each diet  type and revealed that females lost more weight (M=13.32, SD=3.11) than males (M=8.55, SD=5.36) on the  vegan diet (p=.026) (see Figure 1). Amount of weight lost did not differ by sex for the low calorie diet (p=.798) or  the ketogenic diet (p= .141).     Chi Square Test of Independence – how to run this test in SPSS is shown in Module 4  • ? =  √ ?2 ?   A Chi Square test of independence revealed a significant effect of background influencing willingness to use  mental health services ?2(1, N=80) = 0.990, p = .320, ? = .34. As shown in the Figure 3, female college students  from rural areas were less likely to be willing to use mental health services than students from suburbs or urban  areas.     For any other test, refer to the examples in the presentations. PSYC 515 Page 4 of 5  STATISTICAL TEST SELECTION GUIDE for PSYC 515  • Module for topic is in parentheses  • the *typically* preferred graph type is shown for each test  IV = independent variable; DV = dependent variable  BS = between subjects; WS = within subjects   R EL A TI O N SH IP S  (M o d u le  1  R ev ie w  f ro m  P SY C  5 1 0 ) Use scale of measurement of both  variables to determine which  correlation test  Pearson (scatterplot) both scale Spearman (scatterplot or bar graph, depending  on # of levels)  both ordinal Point Biserial   (bar graph)  one nominal dichotomous;  one scale Phi correlation  (clustered bar graph) both nominal and dichotomous also want to PREDICT Simple Regression  (scatterplot with regression line) (what you try to predict is the DV) Differences when DV is  NOMINAL (module 4) compare ONE observed nominal  data with provided, previous  knowledge / theory Chi Square Goodness of Fit (bar graph) determine whether two  observed nominal variables are  associated with one another Chi Square Test of Independence  (clustered bar graph) PSYC 515 Page 5 of 5  "DIFFERENCES" / "EFFECTS" when DV is SCALE  *Nonparametric test equivalent used if DV is ordinal or data fails to meet assumptions

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PSYC 515 Page 1 of 5 HELPFUL HINTS FOR SUCCESS IN PSYC 515 Index of Topics: How to Actively Practice Concepts Overview and Strategy for Quizzes Writing Results in APA – Hints and Examples (with...

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