Answers for Assignment_9 (Fall 2008)

Answers for Assignment_9 (Fall 2008) - STAS2126...

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STAS2126 Assignment#9 (Fall 2008) Submit to Dropbox not by email…Use your first and last name as the file name… Do NOT use # symbol as part of the file name…Show your work for calculation questions not just final answer or you will lose marks Testing a Family Intervention Hypothesis: Kangaroo Care Providing mother-infant body contact during a period of maternal separation was examined for its effects on parent–infant interactions. Participants were 146 three-month-old premature infants and their parents. Half of them received skin-to-skin contact, or kangaroo care (KC), while the remainder were in a control group. Interactions between parents and infants were observed during home visits. Actual results from this study are shown below. 1a What is the independent variable? Kangaroo care vs control) 1b How many dependent variables are listed in the above table? 14 1c Which dependent variable shows the most significant results? (see F values) Father parent intrusiveness (F =15.84) 2. Calculate Cohen’s d for parent intrusiveness (mother-infant interactions). Avg SD = (1.0 +0.91)/2 = 0.955 Cohen’s d = (2.53-2.02)/ 0.955 = .534 3. If we use a t-test to compare the two groups we would produce a t-value instead of F value. As indicated on your Formulas page, t 2 = F. Therefore, if we know the F value we can calculate the t value and vice versa. Use the F value given in the table above for “Family cohesiveness” to calculate what the t-value would be. t value = √F = √10.33 =3.214 4. For one of the above tests p=.03. What will be the Type I error rate (or likelihood that the result is due to chance)? The Type 1 error rate is equal to the p value. Therefore, if the p value is .03, then the Type I error rate is 3%. 5. Table 2 shows results for many different variables. Having such a large number of statistical tests in one study has a large impact on experiment-wise error rate. Briefly explain what this means (consult your course notes) The more significance tests that are performed, the greater the chance of making a Type I error (believing we have found a real significant difference when in fact it was just due to chance). The probability that at least one of these tests will be a Type I error is called experimenter-wise error rate (EER). QUESTIONS BELOW RELATE TO PARENT SENSITIVITY (FOR MOTHER) IN ABOVE TABLE. SHOW WORK.
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Answers for Assignment_9 (Fall 2008) - STAS2126...

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