Homework 7 Using the example from Ottomanelli and colleagues (2012), participants were randomized to receive Supported Employment or treatment as usual. A third group, also a treatment as usual group,...

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ANOVA and CHI Squared- please read all of the instructions - the last question on each one needs to be in APA format. I have given an example for each. Thank you for the help


Homework 7 Using the example from Ottomanelli and colleagues (2012), participants were randomized to receive Supported Employment or treatment as usual. A third group, also a treatment as usual group, consisted of a non-randomized observational group of participants. A simulated subset was selected for this example so that the computations would be small and manageable. The independent variable in this example is treatment group (Supported Employment, Treatment as Usual- Randomized, and Treatment as Usual-Observational/Not Randomized), and the dependent variable was the number of hours worked post-treatment. Supported employment refers to a type of specialized interdisciplinary vocational rehabilitation designed to help people with disabilities obtain and maintain community-based 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 post-treatment number of hours worked among veterans with spinal cord injuries.” Download the file: 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. Example Below: A one-way ANOVA performed on months to program completion revealed significant differences among the three groups, f (2,24) = 7.96, p=0.002. Post hoc comparison using Tukey HSD comparison test indicated that the students in the Associates degree group took significantly longer to complete the program than the students in the Bachelor’s degree group (19.8 versus 13.9 months respectively). However, there is no significant differences in the program completion time between the Associates degree group and the Masters degree group. *** Please use this format for question #7 Help 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 significance of the F value. There are two ways to answer this question: either compare the obtained F to the tabled F (specify the tabled F value 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 different based on an alpha of .05. Homework 8 This homework uses data from a randomized prospective study by LePage and colleagues (2017).  A sample of 57 veterans with a history of homelessness and mental illness were randomly assigned to either an experimental treatment condition involving a specialized vocational program, or treatment as usual services at a veterans affairs health center.  One of the study outcomes was obtaining stable employment post-treatment (in other words, the rate of stable employment). The two variables in this example are dichotomous: Group (Experimental Program versus Treatment as Usual {TAU}) and having obtaining stable employment post-treatment (yes/no).  The null hypothesis is “There is no difference between the experimental and TAU veterans on achieving stable employment post-treatment.” The contingency table is below:   Experimental Group Treatment as Usual (TAU)   Stable Employment 9 5   Not Employed 11 32   1. Compute the chi-square.  List the numerator. 2. List the denominator. 3. Using the numbers in the contingency table, calculate the percentage of veterans in the Experimental Group who achieved stable employment. 4. Using the numbers in the contingency table, calculate the percentage of veterans in the TAU Group who achieved stable employment. 5. Write your interpretation of the results, as you would in an APA-formatted journal. Example: A Persons χ² analysis indicated that antibiotic users had significantly higher rates of antibiotic resistance than those who did not use antibiotics, χ²(1, N=42) =4.20, p=0/04 (57.1% versus 25%, respectively) This finding suggests that extended antibiotic use may be a risk factor for developing resistance , and further research is needed to investigate resistance as a direct effect of antibiotics. ** Please use this format for question # 5   Help with Homework 8: Q1 and Q2: Look at the contingency table above and label A B C D.  Now plug those numbers into the chi-square formula presented in Exercise 35.  Solve for the numerator and solve for the denominator. Q3 and Q4: Start with the denominators. The denominator for Q3 is all of the Experimental group. The denominator for Q4 is all of the TAU group. Q5: The findings should be reported exactly like the APA-formatted example in Exercise 35 on page 448. Be sure to write the Greek chi symbol.Be sure to use phrases like ‘significantly higher’ or ‘significantly lower’ when contrasting the groups. Also round your decimals to the hundredth place (2 decimal places). χ²
Answered 2 days AfterFeb 06, 2022

Answer To: Homework 7 Using the example from Ottomanelli and colleagues (2012), participants were randomized to...

Santosh Vasant answered on Feb 08 2022
107 Votes
Homework 7
Using the example from Ottomanelli and colleagues (2012), participants were randomized to receive Supported Employment or treatment as usual. A third group, also a treatment as usual group, consisted of a non-randomized
observational group of participants. A simulated subset was selected for this example so that the computations would be small and manageable. The independent variable in this example is treatment group (Supported Employment, Treatment as Usual- Randomized, and Treatment as Usual-Observational/Not Randomized), and the dependent variable was the number of hours worked post-treatment. Supported employment refers to a type of specialized interdisciplinary vocational rehabilitation designed to help people with disabilities obtain and maintain community-based 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 post-treatment number of hours worked among veterans with spinal cord injuries.”
Download the file:
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.
Answer: Levene’s test used to test homogeneity
The null hypothesis : The variances are equal across all samples.
H0: σ12 = σ22 = … = σk2.
The alternate hypothesis : The variances are not equal for at least one pair.
H1: σ12 ≠ σ22 ≠… ≠ σk2.
The p-value for Leven’s test is 0.880 (based on mean); which is greater than 0.05, Hence accept H0. (Please refer below output). The data meets criteria for homogeneity.
    Tests of Homogeneity of Variances
    
    Levene Statistic
    df1
    df2
    Sig.
    Hours Worked Per Week
    Based on Mean
    .130
    2
    12
    .880
    
    Based on Median
    .095
    2
    12
    .910
    
    Based on Median and with adjusted df
    .095
    2
    10.306
    .910
    
    Based on trimmed mean
    .133
    2
    12
    .877
2. What is the F value, and the numerator and denominator degrees of freedom? (no computations, just the 3 values).
Answer:
Numerator Degrees of Freedom :2
Denominator Degrees of Freedom: 12
F-Value = 0.130
3. Compute the ANOVA using SPSS and paste the SPSS table containing the F into your homework.
Answer:
    ANOVA
    Hours Worked Per Week
    
    Sum of...
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