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Job satisfaction Essay

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Job satisfaction:

Introduction

This paper focuses on findings regarding job satisfaction, there are two forms of job satisfaction and they include intrinsic and extrinsic job satisfaction, the level of job satisfaction varies depending on gender, age, position held at work, department and benefits awarded by a company. This paper focuses on the overall satisfaction and its relation to age.

Data selected

We select age and the overall satisfaction data. This will help us find out whether the older workers have higher job satisfaction than the young or whether the older workers have less overall satisfaction than the young. Age is a qualitative measure while job satisfaction is a quantitative measure, therefore having the two data sets we can analyze the relationship.

Discussion

We select the age and overall satisfaction data because this will help us determine which age group has a higher overall job satisfaction, the data was retrieved from the American Intellectual Union and contains data on job satisfaction, after examining the selected data it is evident that those aged above 50 years have a greater overall job satisfaction mean, those aged below 21 years have  the lowest overall job satisfaction mean, therefore as the age increase then the overall job satisfaction also increases and this is evident from the values of the overall job satisfaction mean, the following table summarizes the mean value in each age group:

21 and under
22-49
50 and over
total
21.7
79.8
40.7
mean
4.34
4.69411765
5.81428571
median
4.9
4.8
6
mode
n/a
6.4
n/a

From the table it is evident that the mean value for those aged above 50 years is higher than any other age group, it is also evident that those aged below 21 years have the lowest mean value.

The median value for 21 years and below is 4.9, those aged 22 to 49 years median value is 4.8 while for those aged above 50 years is 6. The mode value for those aged between 22 and 49 is 6.4 while the other age groups it is not possible to determine the mode because we don’t have a value that has a high frequency than the others.

The mean value gives us an estimate of the expected overall job satisfaction in each level. The mean summarizes the data and gives expected level of satisfaction. According to Allan Bluman (2002) the median gives us the value that is at the middle given the a data set, the median value is higher for those aged 50 and above, also Allan Bluman (2002) defines the mode as a measure that gives the value that has the highest frequency. All the measure of central tendency of data helps determine the shape of the distribution and they help determine the skeweness of given data.

Variation:

Measures of variations in data are analyzed in the table below for each age group

21 and under
22-49
50 and over
standard deviation
1.69794
1.651693
0.73355
variance
2.883
2.728088
0.538095

From the above table the standard deviation for those aged above 50 years is 0.73355 which is the lowest value, the value of standard deviation is higher in the other age groups, according to Bluman (2002) the higher the standard deviation then the higher is the deviation of data from the mean, therefore it is evident that the age group 21 and above and age between 22 and 49 data deviates more from the mean.

Chart:

The data can be summarized in a chart as follows, we get the total level of overall job satisfaction and then determine the percentage of the total for each age group selected and this helps us to formulate a pie chart as follows:

total
% overall satisfaction
21 and under
21.7
15%
22-49
79.8
56%
50 and over
40.7
29%

142.2

We can also represent the totals in a chart as follows:

From the chart above it is evident that the age between 22 to 49 has the highest total overall job satisfaction, however this also means that they are the majority, those aged above 50 years have the the second highest bvalue of overall job satisfaction and those aged below 21 have the lowest value.

Summary:

From the above discussion it is evident that age and overall job satisfaction are strongly related, the higher the age then the higher is the level of job satisfaction, from the values in the data it is evident that the majority of the workforce are aged between the age of 22 and 49 years, however despite being the majority they still have low levels of job satisfaction and those who are aged above 50 years have high job satisfaction.

It is also clear that standard deviation for those aged above 50 is lower than any other age group and this means that data values deviate less from the mean, however for the other age groups standard deviation is higher and this means that data values deviate more from the mean, variance is also a measure of variations in data and it is determined by finding the square of the standard deviation, those aged above 50 years have a lower value of variance and this means that the data deviates less from the mean, from the analysis it is therefore clear that the higher the age then the higher is the overall satisfaction.

References:

Allan Bluman (2002) Elementary Statistics; Step by Step Approach, McGraw Hill press, New York

American Intellectual Union (2008) job satisfaction data,