This is for a SPSS based marketing research class, but is more statistically bas
ID: 3329419 • Letter: T
Question
This is for a SPSS based marketing research class, but is more statistically based
CORRELATION
Intercorrelations for Workaholism Scales
Driven
WI
Enjoy
WLC
LS
PIL
Driven
1
0.24**
0.00
0.42**
-0.20**
-0.08
WI
1
0.08
0.20**
-0.20**
0.03
Enjoy
1
-0.14
0.37**
0.42**
WLC
1
-0.24**
-0.17*
LS
1
0.53**
PIL
1
WI=Work involvement Scale, WLC=Work-Life Conflict Scale, Enjoy=Work Enjoyment Scale LS=Life Satisfaction Scale, PIL=Purpose in Life Scale
* p < 0.05
** p < 0.01
Consider the correlation matrix above and answer the following questions.
What is the correlation coefficient for the relationship between Life Satisfaction and Purpose in Life?
Which of the two variables have the weakest correlation?
Is the correlation coefficient for the relationship between Enjoyment of Work and Purpose in Life statistically significant? If yes, at what probability level is it significant?
The relationship between WLC and LS is such that those who have high WLC scores tend to have:
High LS scores. B. low LS scores.
Identify variables which have insignificant relationships with variable "Driven".
There are 10 statistically significant correlation coefficients in the table. Are they all significant at the same level of significance? Explain.
Should the null hypothesis of the relationship between WI and LS rejected? Explain.
What is the probability that the correlation for the relationship between PIL and Enjoy is a chance deviation (due to random sampling error) from 0.00?
In statistics, a Type I error is the error of rejecting the null hypothesis when, in truth, it is correct. If we reject the null hypothesis regarding the relationship between Driven and WI, what is the probability that we are making a Type I error?
How many of the correlations with PIL are statistically significant.
Intercorrelations for Workaholism Scales
Driven
WI
Enjoy
WLC
LS
PIL
Driven
1
0.24**
0.00
0.42**
-0.20**
-0.08
WI
1
0.08
0.20**
-0.20**
0.03
Enjoy
1
-0.14
0.37**
0.42**
WLC
1
-0.24**
-0.17*
LS
1
0.53**
PIL
1
Explanation / Answer
What is the correlation coefficient for the relationship between Life Satisfaction and Purpose in Life?
Answer :- The correlation coefficient for the relationship between Life Satisfaction and Purpose in life is 0.53
Which of the two variables have the weakest correlation?
Answer :- The weakest correlation will be when the correlation coeffcient is closest to 0. The variables Driven and Work Enjoyment Scale have the weakest correlation.
Is the correlation coefficient for the relationship between Enjoyment of Work and Purpose in Life statistically significant? If yes, at what probability level is it significant?
Answer :- Since the p value is less than the 0.01 we the result is significant for any probability level greater than 0.01.
The relationship between WLC and LS is such that those who have high WLC scores tend to have:
Answer :- Since the correlation coefficient is negative those who have high WLC scores tend to have low LS scores.
Identify variables which have insignificant relationships with variable "Driven".
1. Work Enjoyment Scale
2. Purpose in Life Scale
There are 10 statistically significant correlation coefficients in the table. Are they all significant at the same level of significance? Explain.
Answer :- No.
The correlation coeffcient for variables Work-Life Conflict Scale and Purpose in Life Scale is significant at 0.05 significance level, while the correlation coefficient for variables Work involvement Scale and Work-Life Conflict Scale is significant at 0.01 significance level.
Should the null hypothesis of the relationship between WI and LS rejected? Explain.
Answer :- Yes the null hypothesis should be rejected since the p value is less than 0.01.
What is the probability that the correlation for the relationship between PIL and Enjoy is a chance deviation (due to random sampling error) from 0.00?
Answer :- The required probability is less than 0.01
In statistics, a Type I error is the error of rejecting the null hypothesis when, in truth, it is correct. If we reject the null hypothesis regarding the relationship between Driven and WI, what is the probability that we are making a Type I error?
Answer :- The required probability is less than 0.01
How many of the correlations with PIL are statistically significant.
Answer :- There are 3 correlations with PIL which are statistically significant.
1. Work-Life Conflict Scale
2. Work Enjoyment Scale
3. Life Satisfaction Scale
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