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2/15/24, 6:23 PM M5 Quiz : PSY 330: Statistical Methods (2024 Spring - A) M5 Quiz Due Feb 11 at 11:59pm Points 15 Questions 15 Available Feb 5 at 12am - Feb 11 at 11:59pm Time Limit 90 Minutes Allowed Attempts 2 Instructions Instruction: o Students are allowed two attempts on the quiz by the due date. The higher score will be used toward the calculation of the final grade. e The questions are randomly drawn from a question bank for each attempt, so the two attempts may not have identical questions. o The quiz is open-book/open-note, to be completed in 90 minutes. Once you start this quiz, you must finish it in one sitting because the timer does not stop if you leave the quiz. o The quiz covers the concepts from the readings and video lectures in this module, but may touch on concepts from previous modules. This quiz was locked Feb 11 at 11:59pm. Attempt History Attempt Time Score LATEST Attempt 1 29 minutes 15 out of 15 (@ Correct answers are hidden. Score for this attempt: 15 out of 15 https://canvas.asu.edu/courses/178079/quizzes/1337912?module_item_id=12741255 117

2/15/24, 6:23 PM M5 Quiz : PSY 330: Statistical Methods (2024 Spring - A) Submitted Feb 7 at 9:31pm This attempt took 29 minutes. Question 1 1/1 pts A researcher performs a 2 x 4 ANOVA with six participants in each cell of the study design. What is the degrees of freedom for the interaction? 4 6 3 2 Question 2 1/1 pts If an analysis of variance includes both within-groups factors and between-groups factors, it is called a ANOVA. complex-design between-within mixed-design two-way Question 3 1/1 pts Main effects refer to the . effect of one level of the independent variable on the dependent variable, disregarding other levels of the independent variable effect of a single independent variable on the dependent variable, disregarding all other variables in the study combined effects of two independent variables combined effects of two dependent variables Question 4 1/1 pts An interaction occurs when . the dependent variable does not depend on any of the independent variables a single independent variable changes the dependent variable, disregarding all other variables in the study https://canvas.asu.edu/courses/178079/quizzes/1337912?module_item_id=12741255 2/7

2/15/24, 6:23 PM M5 Quiz : PSY 330: Statistical Methods (2024 Spring - A) two independent variables both influence the dependent variable the effects of one independent variable depend on the level of the other independent variable Question 5 1/1 pts A researcher is interested in whether circadian rhythms influence participants' performance on different kinds of memory tests. The researcher first classifies participants according to whether each is a morning person or an evening person. The researcher then randomly assigns participants to receive either an implicit memory test or an explicit memory test. The researcher then tests everyone at 8 A.M. What is(are) the main effect(s) being tested in the study? type of person memory test type of person and memory test type of person and performance Question 6 1/1 pts A researcher performs a 2 x 3 ANOVA with five participants in each cell of the study design. How many cells are in this design? 2 6 4 5 Question 7 1/1 pts In a two-way factorial ANOVA, between-groups variance is divided into : two main effects and two interactions one main effect and a single interaction one main effect and two interactions two main effects and a single interaction Question 8 1/1 pts Roediger and Karpicke (2006) investigated whether the test-enhanced learning effect (the demonstration that repeated testing improves memory for material) was due merely to repeated exposure to material. https://canvas.asu.edu/courses/178079/quizzes/1337912?module_item_id=12741255 3/7

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2/15/24, 6:23 PM M5 Quiz : PSY 330: Statistical Methods (2024 Spring - A) They randomly assigned participants to one of two study conditions (study-study or study-test) and to one of three retention interval conditions (final test at a delay of 5 minutes, 2 days, or 1 week). The dependent variable was the proportion of idea units recalled from an encyclopedia passage. How should the analysis of these data be labeled? 2x3 within-groups ANOVA 2x3 between-groups ANOVA 2x2 within-groups ANOVA 2x2 between-groups ANOVA Question 9 1/1 pts In addition to assessing whether each independent variable has an effect on the dependent variable, a factorial ANOVA also allows oneto . use multiple dependent measures in a single analysis determine whether the effects of one factor depend on the other factor partition out the variability due to individual differences and the variability due to measurement error control for a third variable that might be related to the dependent measure, prior to investigating the independent variable of interest Question 10 1/1 pts The owners of the Syfy channel are interested in whether watching the Syfy channel causes people to become "geeky," and if so, whether any such effects depend on a person's gender. They hire a researcher to design and carry out the appropriate study. The researcher randomly assigns an equal number of men and women to watch 0, 3, 5, or 9 hours of the Syfy channel each week for 6 weeks. What is the research hypothesis for the main effect of hours watched? On average, watchers differ in their geekiness levels across the various hours of the Syfy channel watched. On average, men are geekier than women when watching fewer hours but less geeky than women when watching more hours of the Syfy channel. On average, men and women differ in their geekiness levels. On average, watchers are equally geeky regardless of the hours of the Syfy channel they watch. Question 11 1/1 pts https://canvas.asu.edu/courses/178079/quizzes/1337912?module_item_id=12741255 4/7

2/15/24, 6:23 PM How much of the variance in "college percentage” can be accounted for by the total between-group variance? Dependent Variable: M5 Quiz : PSY 330: Statistical Methods (2024 Spring - A) Tests of Between-Subjects Effects College percentage Type Il Sum Source of Squares df Mean Square F Sig. Corrected Model | 459834.42° 5 91966.884 98.302 .000 Intercept 6185488.91 1 | 6185488.91 | 6611.549 .000 CityRural 2232.938 1| 2232.938 2.387 123 SchoolType 217593.790 2 | 108796.895 | 116.291 .000 &}Ygg’r’rﬂp} 15203.691 2 | 7601.846 8.125 .000 Error 1820596.34 | 1946 935.558 Total 12229107.0 | 1952 Corrected Total 2280430.76 1951 a. R Squared = .202 (Adjusted R Squared = .200) https://gyazo.com/b7eelaa85e7cd1e6eed5f62d61f5a5b7 &> (https://gyazo.com/b7ee1aa85e7cd1e6eed45f62d61fS5adSb7) 20% 3.8% 25.3% 50.6% Question 12 1/1 pts Below is the result from a 2x2 factorial ANOVA on teacher salary, with the factors of gender (male vs female) and community type (suburban vs rural). What are the degrees of freedom for reporting the gender x community interaction effect? Tests of Between-Subjects Effects Dependent Variable: Salary Type 1l Sum Partial Eta Source of Squares df Mean Square F Sig. Squared Corrected Model 1.869E+8* 3 | 62309748.7 4.323 008 183 Intercept 1.247E+11 1 1.247E+11 | 8649.023 .000 993 Cender 85858.826 1 85858.826 006 939 000 Community 186736276 1 186736276 12.956 001 183 oo 125386.568 1 | 125386.568 009 926 000 Error 835940563 58 | 14412768.3 Total 1.278E+11 62 Corrected Total 1.023E+9 61 a. R Squared = .183 (Adjusted R Squared =~ .140) https://gyazo.com/77a3¢c1017efbec09987b64549f411bbf = (https://gyazo.com/77a3c1017efbec09987b64549f411bbf) 1, 58 3, 58 https://canvas.asu.edu/courses/178079/quizzes/1337912?module_item_id=12741255

2/15/24, 6:23 PM 1, 62 3, 62 Question 13 1/1 pts The sale amount was analyzed by store location and shelf position. Based on the output table M5 Quiz : PSY 330: Statistical Methods (2024 Spring - A) below, how many cells (groups) were in the factorial design? Tests of Between-Subjects Effects Dependent Variable: Sales Type Il Sum Source of Squares df Mean Square F Sig. Corrected Model 503.754% 5 100.751 5.397 .007 Intercept 6740.928 1 6740.928 | 361.121 000 Store 7.014 1 7.014 376 550 Shelf 457.568 2 228.784 12.256 001 Store * Shelf 30.114 2 15.057 .807 467 Error 242.667 13 18.667 Total 7342.000 19 Corrected Total 746.421 18 a. R Squared = .675 (Adjusted R Squared = .550) 2 S 6 4 Question 14 1/1 pts To report the omnibus test result from the following table, which format of the p value meets the APA standards? Assume that the alpha level is .05. Dependent Variable: Tests of Between-Subjects Effects College percentage Type Wl Sum Source of Squares df Mean Square F Sig. Corrected Mode! 459834 .42° 5 91966.884 98.302 000 Intercept 6185488.91 1 | 6185488.91 | 6611.549 000 CityRural 2232.938 1 2232.938 2.387 123 SchoolType 217593.790 2 | 108796.895 | 116.291 000 SchoalT e 15203.691 2 | 7601.846 8.125 | .000 Error 1820596.34 1946 935.558 Total 12229107.0 1952 Corrected Total 2280430.76 1951 a. R Squared = ,202 (Adjusted R Squared = .200) https://canvas.asu.edu/courses/178079/quizzes/1337912?module_item_id=12741255 6/7

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2/15/24, 6:23 PM p < .001 p=.000 Question 15 1/1 pts M5 Quiz : PSY 330: Statistical Methods (2024 Spring - A) Below is the result from a 2x2 factorial ANOVA on teacher salary, with the factors of gender (male vs female) and community type (suburban vs rural). What is a correct finding based on the ANOVA result? Tests of Between-Subjects Effects Dependent Variable: Salary Type Nl Sum Partial Fta Source of Squares df Mean Square F Sig. Squared Corrected Model 1.869E+8* 3 | 62309748.7 4.323 .008 183 Intercept 1.247E+11 1 1.247E+11 | 8649.023 000 993 Gender 85858.826 1 85858.826 .006 939 .000 Community 186736276 1 | 186736276 12.956 .001 183 gf,,';‘::{,,;w 125386.568 1 | 125386.568 009 926 000 Error 835940563 58 | 14412768.3 Total 1.278E+11 62 Corrected Total 1.023E+9 61 a. R Squared = .183 (Adjusted R Squared = .140) The effect of community type on teacher salary depends on gender. Teacher salary differs significantly between suburban and rural schools. Teacher salary differs significantly between male and female teachers. The gender discrepancy in teacher salary varies between suburban and rural schools. https://canvas.asu.edu/courses/178079/quizzes/1337912?module_item_id=12741255 Quiz Score: 15 out of 15 77

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