25 Nov 2022

161

What are Data Assumptions?

Format: APA

Academic level: College

Paper type: Assignment

Words: 468

Pages: 2

Downloads: 0

1. Do the example data meet the assumptions for the paired samples t -test? Provide a rationale for your answer. 

Yes. This example data meets the assumption for paired t-test. This is true since the sample elements (variables) have been obtained from a solitary collection of participants with like characteristics for baseline and post-treatment probing. 

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2. If calculating by hand, draw the frequency distributions of the two variables. What are the shapes of the distributions? If using SPSS, what are the results of the Shapiro-Wilk tests of normality for the two variables? 

Tests of Normality 

 

Kolmogorov-Smirnov a 

Shapiro-Wilk 

           

Statistic 

df 

Sig. 

Statistic 

df 

Sig. 

 
Baseline Affective 

.134 

10 

.200 * 

.953 

10 

.705 

Post-treatment Affective 

.235 

10 

.124 

.912 

10 

.292 

*. This is a lower bound of the true significance. 
a. Lilliefors Significance Correction 

The study gives Shapiro-Wilk p-value of 0.705 for the baseline and 0.292 for the post treatment. 

3. What are the means for the baseline and posttreatment affective distress scores, respectively? 

Paired Samples Statistics 

 

Mean 

Std. Deviation 

Std. Error Mean 

Pair 1  Baseline Affective 

3.03 

10 

1.664 

.526 

Post-treatment Affective 

2.040 

10 

.9834 

.3110 

The baseline effective distress had a mean of 3.030 while Post Treatment Distress had a mean of 2.040. 

4. What is the paired samples t -test value? 

Paired Samples Correlations 

 

Correlation 

Sig. 

Pair 1  Baseline Affective & Post-treatment Affective 

10 

.777 

.008 

Paired Samples Test 

 

Paired Differences 

       
       

Mean 

Std. Deviation 

Std. Error Mean 

95% Confidence Interval of the Difference 

   
     

Lower 

         
Pair 1  Baseline Affective - Post-treatment Affective 

.9900 

1.0929 

.3456 

.2082 

Paired Samples Test 

     
 

Paired Differences 

df 

Sig. (2-tailed) 

     
       
       

95% Confidence Interval of the Difference 

               

Upper 

               
Pair 1  Baseline Affective - Post-treatment Affective 

1.7718 

2.865 

.019 

     

The paired sample t-test value from the SPSS output is 2.865 

5. Is the t -test significant at α = 0.05? Specify how you arrived at your answer. 

The t-test is significant at α=0.05. We reached this conclusion by using the computed p-value of 0.019, since this value is lower than α=0.05. 

6. If using SPSS, what is the exact likelihood of obtaining a t- test value at least as extreme as or as close to the one that was actually observed, assuming that the null hypothesis is true? 

The precise probability of getting a t-test value that is as extreme or as near to the one that was truly observed if we take on the null hypothesis to be true will be greater than 0.099% but less than 0.1%. 

7. On average, did the affective distress scores improve or deteriorate over time? Provide a rationale for your answer. 

Typically, the effective score worsened but eventually became stable. The stable values in the affective distress are denoted by a constant Q-Q line fore the baseline and post-treatment affective distress. 

8. Write your interpretation of the results as you would in an APA-formatted journal. 

The paired sample t-test computed from the baseline affective distress and post-treatment affective distress disclosed worsening of distress score over time, t (9) =2.865, p>0.001; means for two tests are 3.03 and 2.04. This shows that the method of treatment is significant and effective for affective distress. 

9. What do the results indicate regarding the impact of the rehabilitation on emotional distress levels? 

The findings show that rehabilitation reduces emotional distress levels amid patients. 

10. What are the weaknesses of the design in this example? 

It’s not trivial to determine establish whether the changes in the samples have been caused by the involvement of the program or not. The design doesn’t consider other factors that may have impacted the changes. 

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StudyBounty. (2023, September 14). What are Data Assumptions?.
https://studybounty.com/what-are-data-assumptions-assignment

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