IMPORTANT: AFTER PURCHASE, OPEN THIS PAGE AGAIN AND SCROLL DOWN BELOW TO DOWNLOAD FILES WITH ANSWERS.
Please use the data (Quiz 5B.RM ANOVA,sav) under Resources for Quizzes > Quiz 5 for this quiz. We will run the repeated-measures (RM) ANOVA step by step, solving problems while checking your understanding.
The procedure for the inferential statistical analyses is always same;
For Step 2, let’s set the criteria for a decision: we will use to evaluate significance of the statistical test. For Step 3, we need to evaluate assumptions. There are FOUR ASSUMPTIONS to be met to conduct an RM ANOVA. List them all to match with the description.
In the RM ANOVA, the assumptions for the third and the fourth in the list in QUESTION 3 are together called ______. Satisfying this condition is very important because the violation of this assumption will artificially increase the value of between-groups variances and as a result, it will increase the likelihood to commit a _____.
To run the repeated-measures ANOVA, go to Analyze >> General Linear Model >> Repeated Measures…. When a new window shows up, you will see factor1 as a default for Within-Subject Factor Name. As we have one factor, type the factor name, SEASON, and then specify a number, 4, in Number of Levels and then click Add and then Define.
For Step 4, in the SPSS output, find the results from Tests of Within-Subjects Effects. As Mauchly’s test of Sphericity is significant and the epsilon is all smaller than ___, so we will use Greenhouse-Geisser’s correction for degrees of freedom. Therefore, we can describe the results as below. As usual, report the values in three decimal places.
As there are significant mean differences in depression across seasons, post hoc tests are necessary to determine which pair or pairs of group means significantly differ. Because we have 4 sets of repeated data or 4 groups, we need to make multiple pairwise comparisons using a post-hoc test to determine which mean or means are different significantly from the rest.
In the SPSS output, find the results from Estimates, Pairwise Comparisons, and Profile Plots. Which choice is the most appropriate statement about the results?
For a RM ANOVA, the two measures of effect sizes are partial eta-squared (η2p) and partial omega-squared (ω2p). Report partial eta-squared in the results from Tests of Within-Subjects Effects of the SPSS output. As usual, report the values in three decimal places.
As partial eta-squared (η2p) tends to overestimate effect size, we usually report partial omega-squared (ω2p), which is more conservative measure of effect size. To compute partial omega-squared, we need to identify the four values below in Tests of Within-Subjects Effects of the SPSS output and manually calculate the partial omega-squared (ω2p).
We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.Read more
The Product ordered is guaranteed to be original. Orders are checked by the most advanced anti-plagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.Read more
The Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.Read more
The Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.Read more
By placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.Read more