Research Project Proposal What variables will you be investigating in your research project? Remember, two of your three variables should be the same as Deska and colleagues' (2020) variables, which were Target Race, Target Gender, and Social Pain. You need one totally new variable. Then, you will keep two of these three variables, but you may change the levels of the variables, if you want. Each of your independent variables (IVs) must have two levels. This basically means you will be comparing two options of the variables. For Race, your levels could be (1) White and (2) Hispanic. White and Hispanic are two options for Races that you could study. If you keep only one of the IVs from Deska and colleagues' (2020) work, list that below as your IVI. Then, your new IV should be IV2. Your dependent variable (DV) must be measurable on a numerical scale. Deska and colleagues (2020) used a 1-4 scale to measure Estimated Social Pain Sensitivity. You don't need to use the same kind of measurement, but you must include a numerical DV. Replace One Variable (Mandatory) You must replace only one of the three variables. This means you cannot use Race, Gender, and Social Pain as your three variables. Instead, you will keep two of these and replace one of them. Adjust the Independent Variables (Optional) If you want, you may also adjust one of the existing IVs. For example, many students keep Target Race as a variable, but change the racial groups. This is acceptable, in addition to the replacement variable. Another common change students make is to use Participant Race or Participant Gender instead of Target Race and Target Gender. This changes the study by shifting our focus to the types of participants making judgments, rather than the targets. This is also acceptable, but I do not count this as a totally new variable. Even if you make this change, you will still need to replace one of the original variables with a totally new one. If you have questions about this assignment, please contact me as soon as possible. Your Project Proposal VI: target Gender (Levels: male, female ) IV2: Target Race (Levels: White, Hispanic) DV: Participant EmpathyResults So, is there any correlation between the amount of income someone receives depending on their minority status? To test this and prove correlation, we calculated income differences for Hispanic (M = 2.06) and Asians (M = 2.83) targets both female (M = 2.38) and male (M = 2.50) participants. The main effects in my study show that race had a (S = .011) which is below .05 therefore making it significant and gender had a (S = .48) also making it significant. We ran a 2(Target Race: Hispanic, Asian) x 2(Target Gender: Male, Female). The repeated measures factorial ANOVA with Income differences as the primary focus of this measurement. As predicted, we found a significant main effect of Target Race, F (1, 22) - 10.25, p - .011, such that Asian targets (M= 2.83, SD = 0.51) were shown to have more of a positive income difference than those of the Hispanic targets (M = 2.06, SD - 0.44). Our IV 2 also gave us a significant main effect with the Target Gender, F (1, 22) - 3.15, p - .048, with this data we can conclude that Male Targets (M- 2.50, SD = 0.40) were shown to have a more positive income difference than those of the Female targets (M- 2.38, SD - 0.56). In addition to these effects, we found a significant interaction in our study between Target Race and Target Gender, F1 7 Dom 11 de dic 11:21:04 p. m. JOSE Q Q Research Project: Fabricated Results Name: Jose Herrera Guadarrama Use the Statistics Information below to determine whether your Main Effects, Interaction, and Simple Effects are significant. In statistical outputs, "Sig." represents p-values. If the p-value for a test is less than .050, you have a significant effect. If the p-value for a test is greater than .050, that means there is not a significant effect (the groups are basically the same). For all significant results, use the means to determine the pattern of results. For Main Effects, you should use the Marginal Means. For the interaction, you will use the individual cells to determine the direction of the simple effects. Research Design: Target Race x Target Gender DV: Empathy (1-4 scale) Descriptive Statistics (DO NOT include this table in your manuscript) DV: Stress Hispanic Targets White Targets Marginal Means Male M = 2.08, SD =0.47 M = 2.72, SD = 0.42 M = 2.40, SD =0.40 Female M = 2.11, SD = 0.51 M = 3.34, SD = 0.62 M = 2.73, SD =0.56 Marginal Means M = 2.10, SD =0.44 M = 3.53, SD =0.51 Inferential Statistics (in your Results section, present this information in APA style) Main Effect of IV1: Target Race F = 10.25 df Between Groups = df Within Groups = 22 Sig. = .0ll Main Effect of IV2: Target Gender F =5.55 df Between Groups = of Within Groups = 22 Sig. = .032 Interaction F = 24.81 if Between Groups = 1 if Within Groups = 22 Sig. = .001 Simple Effects (you should choose SEI & SE2 or SE3 & SE4 to describe the interaction) For Male Targets (Black v. White) 1(29) = 4.39, p = .024 For Female Targets (Black v. White) 1(29) = 8.02, p= .002 For Black Targets (Male v. Female) 1(29) =0.15, p= .883 For White Targets (Male v. Female) 1(29) = 4.42, p= .023