Correlations
I
TOTCARP TOTJSQ SEX AGE LOTCJ DATEEtIITOTCARP Pearson
1.000 -.406(**) -.064 .180 .172 -.070
Correlation
Sig. (2-tailed) .003 .657 .210 .233 .630
N 50 50 50 50 50 50
TOTJSQ Pearson
-.406(**) 1.000 -.144 -.341 (*) -.054 -.056
Correlation
Sig. (2-tailed) .003 .318 .015 .710 .699
N 50 50 50 50 50 50
SEX Pearson
-.064 -.144 1.000 .014 -.063 .012
Correlation
Sig. (2-tailed) .657 .318 .925 .665 .934
N 50 50 50 50 50 50
AGE Pearson
.180 -.341 (*) .014 1.000 .345(*) .480(**)
Correlation
Sig. (2-tailed) .210 .015 .925 .014 .000
N 50 50 50 50 50 50
LOTCJ Pearson
.172 -.054 -.063 .345(*) 1.000 .523(**)
Correlation
Sig. (2-tailed) .233 .710 .665 .014 .000
N 50 50 50 50 50 50
DATEEMP Pearson
-.070 -.056 .012 .480(**) .523(-) 1.000
Correlation
Sig. (2-tailed) .630 .699 .934 .000 .000
N 50 50 50 50 50 50
** CorrelationISslgmficant at the 0.01 level (2-talled).
* Correlation is significant at the 0.05 level (2-tailed).
Total Job Satisfaction: Age RESULTS:
Pearson Correlation = -0.341
Job
Satisfaction
Age
1. The correlation value is negative, indicating that as age Increases, job satisfaction decreases.
2. This value is not close to 1 or -1 therefore this indicates that the relationship is of moderate strength i.e. there are certain individuals for example who are young, however are dissatisfied in their job, and vice- versa.
Significance Level =0.008
1. This value is less than 0.01, therefore the correlation is significant.
2. This value also indicates that there is a linear relationship between the two variables.
COMMENT:
The above correlation, as established is not a very strong one, hence what can be deduced is that age is linked to job satisfaction, the older one is, the greater the perception of being plateaued. An implication for this study is to establish that those subjects that are over and below the correlation level need to be addressed. Older employees in particular - attention must be given to their motivation levels and hence their job satisfaction levels in the workplace. Concerted efforts must be made to address this group of the population that could very well turn into deadwood being passed over by the organisation.
Length of Time in Current job: Age RESULTS:
Pearson Correlation
=
0.345Length of time in currentjob
Age
1. The correlation value is positive, indicating a positive relationship i.e. the older people get, the less likely they are to change their jobs.
The Effect of Career Plateauing on Job Satisfaction and Motivation Page 64 of89
2. This value is not close to 1 or -1 therefore this indicates that the relationship is of moderate strength.
Significance Level
=
0.0071. This value is less than 0.01, therefore the correlation is significant.
2. This value also indicates that there is a linear relationship between the two variables.
COMMENT:
This is a very obvious correlation. Older employees, due to a lack of marketability are staying in jobs for a longer period of time. This results in poor self-image and being dissatisfied with their jobs. Hence their perceptions of being plateaued are stronger.
The age of 'experience' has been traded in for younger energy i.e. entrants of baby boomers in industry today which is creating a threat for older employees.
Date Employed: Age RESULTS:
Pearson Correlation
=
0.480Date Employed
Age
1. The correlation value is positive, indicating a positive relationship i.e.
older people are in the organisation for a longer period of time.
2. This value is not close to 1 or -1 therefore this indicates that the relationship is of moderate strength.
1. Significance Level =0.000
2. This value is less than 0.05, therefore the correlation is significant.
3. This value also indicates that there is a linear relationship.
COMMENT:
One can conclude that after a certain time in an organisation, aspirations for advancement decline. This is typical of the situation at the company.
Employees have stayed on in Company A and are growing older with the company. Personal plateauing has resulted i.e. they cannot move up the hierarchical structure at work due to not having the required skills. This will be addressed later on.
They have gathered experience in the years and are considered the solid citizens and in some instances Company A could have the deadwoods sector of employees as well.
Date Employed: Length Of Time In Current Job RESULTS:
Pearson Correlation
=
0.523Date Employed
Length of time in current job
1. The correlation value is positive, indicating that value is half of 1 therefore indicating that the relationship is strong i.e. that the length of time in their current positions is in congruence with the period employees are employed for. Employees have retained initial positions with the company.
The Effect of Career Plateauing on Job Satisfaction and Motivation Page 66 of 89
COMMENT:
Job tenure measures time in a particular position. The longer one's tenure in that position the more likely it is that one's perception will be consistent with the objective measure of plateauing. Different factors explain objective and subjective plateaus. Previous success, age and education are the only variables shown to be of some importance in determining an objective plateau, measured as time spent in a current position, previous success and individual personality are the best predictors of a subjective plateau.
Total Career Plateauing: Total Job Satisfaction RESULTS:
Pearson Correlation
=
-0.406Career Plateauing
Total Job Satisfaction
If the absolute value of the correlation is close to 1, then this indicates a strong relationship between career plateauing and job satisfaction.
Since the value is 0.406 this indicates a moderate to strong relationship. This means that there is a few individuals who are satisfied in their.jobs however still perceive that they are career plateaued and vice versa.
Significance Level- 0.003 (P Value)
Since this significance level is very small i.e. less than 0.01 this indicates that job satisfaction and career plateauing are linearly related and the correlation is significant.
Since the P value indicates a significant correlation what this re-emphasizes is that the same results can be confirmed over and again.
Pearson's correlation coefficient is a measure of the linear association between two variables. The linear relationship indicates that the career plateau level will decrease by the same ratio that the job satisfaction value will increase by. These values have a direct proportion to each other.
COMMENT:
The more satisfied one is, the lesser the perception of plateauing. This confirms the hypothesis that job satisfaction is linked to career plateauing.
The data establishes that this relationship is between moderate to strong suggesting that even though staffers are satisfied in their jobs there is still the perception of being plateaued.
The Effect of Career Plateauing on Job Satisfaction and Motivation
Page 68 of 89