Open in SPSS. Use the dataset to answer the following questions. 1. Do the data meet criteria for homogeneity of variance? Provide a rationale for your answer. 2. What is the F value, and the numerator and denominator degrees of freedom? (no computations, just the 3 values). 3. Compute the ANOVA using SPSS and paste the SPSS table containing the F into your homework. 4. Is the F significant at a=0.05? Specify how you arrived at your answer. 5. What is the exact likelihood of obtaining our F value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? 6. Is there a difference in your final interpretation when comparing the results of the LSD post-hoc test versus Tukey HSD test? Provide a rationale for your answer. 7. Write your interpretation of the results, as you would in an APA-formatted journal, reporting ONLY the LSD test.H_elp with Homework 7: Q1: Be sure to identify the test that addresses differences among the groups on VARIANCES. Q4: This question is asking about the signicance of the F value. There are two ways to answer this queso'on: either compare the obtained F to the tabled F (specify the tabled Fvalue from Appendix C], or compare the obtained p to an alpha of .05 {specify the obtained p value}.Just like what is explained in Exercise 33. Q6: Examine each of the results and offer a conclusion on whether the "bottom line" is ditferent based on an alpha of .05. You may submit a draft of Question 7 to Dr. Cipher for feedback: Q7: Be sure you are reporting all posthoc comparisons: SE vs TAUR, SE vs TAUO. TAU-R vs TAUO. See the APAformatted example on page 419' in Exercise 33. Using the example from Ottomanelli and colleagues [2012}, participants were randomized to receive Supported Employment or treatment as usual. Athird group, also a treatment as usual group. consisted of a nonrandomized observational group of pa rt'icipa nts.A simulated subset was selected for this example so that the computadons would be small and manageable. The independent variable in this example is treatment group [Supported Employment,Treatment as Usual Randomized, and Treatment as UsualObservaoonaI/Not Randomized). and the dependent variable was the number of hours worked posttreatment. Supported employment refers to a type of specialized interdisciplinary vocational rehabilitation designed to help people with disabilities obtain and maintain communitybased competitive employment in their chosen occupation (Bond. 2004}. These data are presented in HW7.sav. The null hypothesis is: "There is no difference between the treatment groups in posttreatment number of hours worked among veterans with spinal cord injuries.\" HW7 new-1.sav [DataSet2] - IBM SPSS Statistics Data Editor 0 X File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Q. Search application HHHHH Visible: 3 of 3 Variable da ID Group Hours var var var var var var var var var var war var var var var 1 18 2 2 16 3 15 A 4 17 24 6 6 23 7 7 2 18 16 (D CO 19 10 10 W W NN N 11 INE 12 13 13 14 14 W ww 15 15 26 16 17 18 19 20 21 22 23 24 25 26 27 Data View Variable View IBM SPSS Statistics Proce Unicode ON