Question

5. A two-tailed hypothesis test for a repeated-measures design A graduate student is interested in whether jounaling can affect grief and healing. For her study, she selects a random sample of 64 adults who have been widowed within the past 10 to 14 months. The subjects complete a battery of psychological questionnaires before and after spending two months journaling about their emotions. Before the two months of journaling, the mean score on the impact of event scale-avoidance subscale, which measures how much individuals consciously avoid thoughts and feelings associated with the loss of their spouses, was 15.4. After the two months of journaling, the mean score was 15.0. The mean of the differences between each persons pre- and post-scores was 0.4, with a standard deviation of the differences equal to 1.9 The graduate student has no presupposed assumptions about whether journaling can affect grief and healing, so she formulates the null and alternative hypotheses as: She uses a repeated-measures t test. Because the sample size is large, if the null hypothesis is true as an equality, the test statistic follows a t-distribution with n-1-64-1-63 degrees of freedom. Degrees of Freedom-55 esc F2 F3 F5 8 4
<Back to Assignment Keep the Highest:/4 6. Advantages and disadvantages of the related-samples design As Aa Disadvantages of using a related sample (ether one sample of partidipants with repeated measures or two matched samples) versus using two independent samples indlude which of the following? Check all that apply. Related samples (specifically, one sample of participants with repeated measures) an have a carryover effect such that participants can learn from their first measurement and therefore do better on their second □ Related samples (specifically, one sample of participants with repeated measures) can have an order effect such that a change observed between one measurement and the next might be attributable to the order in which the measurements were taken rather than to a treatment effect □ Related samples have less sample variance, icreasing the likelhood of rejecting the nul hypothesis if it is false (that is, increasing power) A study that uses related sampies to compare two drugs (speoifically, one sample of participants with repeated measures) can have a carryover and/or order effect such that the effects of the drug taken before the first measurement may not wear off before the second measurement. 2 4 Q// W, İl E || R || Tİ Y
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Answer #1

SOLUTION

Let X = Score before spending 2 months journeling.

      Y = Score after spending 2 months journeling.

And D = X - Y.

Then, D ~ N(µ, σ2) where σ2 is unknown.

Hypotheses:

Null: H0: µ = µ0 = 0 Vs Alternative: HA: µ 0

Test Statistic:

t = (√n) (Dbar)/s where

Dbar and s are respectively, sample average and sample standard deviation based on n observations on X and Y.

Calculations

t = (√64) (0.4)/1.9

= 1.684

Distribution, Critical Value and p-value:

Under H0, t ~ tn - 1. Hence, for level of significance α%, Critical Value = upper (α/2)% point of

tn - 1 and p-value = P(tn - 1 > | tcal |).

Taking α = 0.05, using Excel Functions, the above are found to be as follows:

tcrit = 1.998 and p-value = 0.0971

Decision:

Since | tcal | < tcrit, H0 is accepted. Or equivalently, since p-value > α, H0 is accepted.

Conclusion:

There is sufficient evidence to suggest that the jounaling does not impact the score. ANSWER

DONE

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