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. Make a decision about the missing data. How are you going to handle it and why? 3. Corr

. Make a decision about the missing data. How are you going to handle it and why? 3. Corr

. Make a decision about the missing data. How are you going to handle it and why?

 

3. Correlation. Perform a correlational analysis on the following variables: Student Extroversion, Lecture Extroversion, Student Agreeableness, Lecture Agreeableness.

a. Ensure you handle missing data as you decided above.

b. State if you are using a one or two-tailed test and why.

c. Write up the results in APA style and interpret them.

2.There are in total 424 data points in the sample which is not very large and we have a lot of missing data points. Therefore, it is not wise to simply neglect the observations with one or more than one missing values because in that case we will be losing a lot of information. Therefore, we use EM algorithm to replace the missing values with estimated values. We have generated a separate SPSS data set (MVT.sav) which has the missing values replaced with the EM algorithm estimates. For all the further analyses we have used MVT.sav.

3.Correlation:

 

The following table shows the correlation matrix between Student Extroversion, Lecture Extroversion, Student Agreeableness and Lecture Agreeableness:

 

Correlations

 

Student Extroversion

Student Agreeableness

Student wants Extroversion in lecturers

Student wants Agreeableness in lecturers

Student Extroversion

Pearson Correlation

1

.027

.138**

-.027

Sig. (2-tailed)

 

.575

.004

.572

Student Agreeableness

Pearson Correlation

.027

1

-.001

.133**

Sig. (2-tailed)

.575

 

.983

.006

Student wants Extroversion in lecturers

Pearson Correlation

.138**

-.001

1

.169**

Sig. (2-tailed)

.004

.983

 

.000

Student wants Agreeableness in lecturers

Pearson Correlation

-.027

.133**

.169**

1

Sig. (2-tailed)

.572

.006

.000

 

 

 

 

 

 

**. Correlation is significant at the 0.01 level (2-tailed).

 

           

We have used a two-tailed test to test the significance of the correlation coefficients.In the above table if Sig. (2-tailed) is less than 0.05 then correlation coefficient corresponding to those two variables is significant at 5% level of confidence. From, the above table we can see that the correlation coefficient between Lecture Extroversion and Student Extroversion, Student Agreeableness and Lecture Agreeableness are significant at 5% level of significance (even at 1% level of significance).

Tripti 06-Dec-2019

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