# Analysis and Interpretation of employee satisfaction.

August 20, 2017 | Author: Ashutosh Sharma | Category: Job Satisfaction, Null Hypothesis, Goodness Of Fit, Degrees Of Freedom (Statistics), Hypothesis

#### Short Description

ANALYSIS AND INTERPRETATION This chapter is allocated for analysis and interpretation of data. Preparing percentage anal...

#### Description

ANALYSIS AND INTERPRETATION This chapter is allocated for analysis and interpretation of data. Preparing percentage analysis, two-way table and chi-squire test does the analysis of job satisfaction, which is directly extracted from the questionnaire. The variations in the extent of the consumer satisfaction can be measured with the variables such as job secured, promotional opportunity, relationship with management, and satisfaction factors of the respondents. Calculation of Satisfactory Scores The Respondents were asked to state their level of Satisfaction relating to twenty factors. Based on their responses the Satisfaction score obtained by each respondent was found out. Points or scores were allocated based on the response. For each of the factor three levels of satisfaction were assigned namely high, medium and low. For high satisfaction three points were given, for Medium two and for low satisfaction one point was given. The total scores secured by each respondent were thus arrived at. All the hundred respondents were classified based on their level of satisfaction. Those who have obtained up to 13 points were classified under low satisfaction category, Respondents with 14 – 20 points were classified under medium satisfaction category and those with more than 21 points were classified under high satisfaction category. NUMBER OF RESPONDENTS AND LEVEL OF SATISFACTION LEVEL OF SATISFACTION High satisfaction

NO. OF RESPONDENTS 22

Medium satisfaction

18

Low satisfaction

10

TOTAL

50

TWO-WAY ANALYSIS: The score secured by the respondents who falls between the score as up to 14 indicates less satisfaction of the respondents, from 15 – 21 are got average satisfaction and 22 – 49 respondents are highly satisfied.

SIMPLE PERCENTAGE TABLE – 1 AGE Age is an important factor that has an influence of job satisfaction. Hence according to age levels the respondents are classified into three factors. AGE GROUP AND NUMBER OF RESPONDENTS AGE

NO. OF RESPONDENTS

21 TO 30 31 TO 40/ABOVE 30 ABOVE 40 TOTAL

11 23 16 50

PERCENTAGE (%) 22 46 32 100

INTERPRETATION: Majority of the respondents (22%) are in 21 to 30 years age group and 46% of the respondents are above 30 years age group and 32% of the respondents are above 40 years age group.

SIMPLE PERCENTAGE TABLE – 2

GENDER There is as yet no consistent evidence as to whether women are more satisfied with their job than men, bolding such factors as job and occupational level constant. One might predict this to be the case. Considering the generally lower occupational aspiration of women. GENDER AND NUMBER OF RESPONDENTS GENDER

NO. OF RESPONDENTS

MALE FEMALE TOTAL

41 9 50

PERCENTAGE (%) 82 18 100

INTERPRETATION: Majority of the respondents (82%) are male and 18% of the respondents are female.

SIMPLE PERCENTAGE TABLE – 3 EDUCATION Education qualification of the respondents may affect the preception of job satisfaction. Highly educated may expect much better work life then others. According to educational qualification the respondents are classified into four categories as under. EDUCATION AND NUMBER OF RESPONDENTS EDUCATIONAL STATUS GRADUATE POST-GRADUATE TOTAL

NO. OF RESPONDENTS 42 8 50

PERCENTAGE (%) 84 16 100

INTERPRETATION: Majority of the respondents (84%) are graduate and 16% of the respondents are post graduate.

SIMPLE PERCENTAGE TABLE – 4 MARITAL STATUS The marital status may influence the job satisfaction as a personal factor. Because the married people has some unavoidable responsibility. MARITAL STATUS AND NUMBER OF RESPONDENTS MARITAL STATUS MARRIED UNMARRIED TOTAL

NO. OF RESPONDENTS 19 31 50

PERCENTAGE (%) 38 62 100

INTERPRETATION: Majority of the respondents (62%) are unmarried and 38% of the respondents are Married.

SIMPLE PERCENTAGE TABLE – 5

EXPERIENCE The experience of the employees in their job is another factor affecting the perception on job satisfaction. Highly experienced may expect better working acmaspear and having less experienced satisfy with the existing one. The respondents are classified into three categories according to their level of experience as under: EXPERIENCE AND NUMBER OF RESPONDENTS EXPERIENCE

NO. OF RESPONDENTS

BELOW 5 5 TO 10 ABOVE 10 TOTAL

23 18 9 50

PERCENTAGE (%) 46 36 18 100

INTERPRETATION: Manority of the respondents (46%) are below 5 years and 36% of the respondents are 5 – 10 years and 18% of the respondents are above 10 years.

SIMPLE PERCENTAGE TABLE – 6 MONTHLY SALARY Man work to earn every employee in the organization will expect a correct pay to be paid for the job done by him. The reasonable pay for each job which is performed in the organization. This scale of pay may help for the job satisfaction to a greater extent. MONTHLY SALARY AND NUMBER OF RESPONDENTS SALARY PER MONTH

NO. OF RESPONDENTS

3,000 TO 10,000 10,000 TO 20,000 20,000 TO 35,000 TOTAL

10 18 22 50

PERCENTAGE (%) 20 36 44 100

INTERPRETATION: Majority of the respondents (44%) are Rs.20,000-35,000 and 36% of the respondents are 10,000 – 20,000 and the remaining 20% of the respondents are 3,000 – 10,000.

TWO WAY TABLE - 1 Relationship between Age and Level Of Satisfaction

AGE YOUNG AGE MIDDLE AGE OLD AGE TOTAL

LEVEL OF HIGHLY SATISFIED 4 10 8 22

SATISFACTION MEDIUM SATISFIED 6 12 6 24

LOW SATISFIED 1 1 2 4

TOTAL 11 23 16 50

INFERENCE: The above table reveals that the percentage of highly satisfied is in the old age group (53%) and 50% of highly satisfied in the middle age group and followed by middle age group. And in medium satisfaction 57% of highest percentage in middle age group and followed by young age group & old age group with 52% of satisfaction. The highest percentage of 50% in low satisfaction is in old age group.

TWO WAY TABLE -2 Relationship between Gender and Level of Satisfaction

GENDER MALE FEMALE TOTAL

LEVEL OF HIGHLY SATISFIED 22 3 25

SATISFACTION MEDIUM LOW SATISFIED SATISFIED 17 4 3 1 20 5

TOTAL 43 7 50

INFERENCE: From the above table the percentage of highly satisfied is in male group followed by the female group. The percentage of medium satisfied is highest in male group.

TWO WAY TABLE -3 Relationship Between Educational Status And Level Of Satisfaction

LEVEL OF HIGHLY SATISFIED 20 2 22

SATISFACTION MEDIUM LOW SATISFIED SATISFIED 18 4 5 1 23 5

TOTAL 42 8 50

INFERENCE: From the above table the percentage of highly satisfied is the graduate group. The percentage of medium satisfied is highest among the respondents of graduate group.

TWO WAY TABLE -4 Relationship Between Marital Status And Level Of Satisfaction

MARITAL STATUS MARRIED UNMARRIED TOTAL

LEVEL OF HIGHLY SATISFIED 12 11 23

SATISFACTION MEDIUM LOW SATISFIED SATISFIED 5 2 18 2 23 4

TOTAL 19 31 50

INFERENCE: The above table reveals that the percentage of highly satisfied is in unmarried group followed by married group. And in medium satisfaction highest percentage is in married group and followed by unmarried group.

TWO WAY TABLE -5 Relationship Between Experience And Level Of Satisfaction

EXPERIENCE BELOW 5 5 TO 10 ABOVE 10 TOTAL

LEVEL OF HIGHLY SATISFIED 9 11 5 25

SATISFACTION MEDIUM SATISFIED 12 6 3 21

LOW SATISFIED 2 1 1 4

TOTAL 23 18 9 50

INFERENCE: The above table reveals that the respondents from below 5 years group have derived highest satisfaction. The percentage of medium satisfaction is high in the category of less than 5 years group.

TWO WAY TABLE -6 Relationship Between Monthly Salary And Level Of Satisfaction

MONTHLY SALARY 3,000 TO 10,000 10,000 TO 20,000 20,000 TO 25,000 TOTAL

LEVEL OF HIGHLY SATISFIED 5 9 12 26

SATISFACTION MEDIUM SATISFIED 4 8 8 20

LOW SATISFIED 1 1 2 4

TOTAL 10 18 22 50

INFERENCE: From the above table the percentage of highly satisfied respondents is more in the group above Rs.20,000. It was followed by the groups Rs.20,000 – Rs.25,000. In medium satisfaction the highest percentage is in Rs.10,000 – Rs.20,000 group.

CHI-SQUARE TEST: Chi-square test is applied to test the goodness of fit, to verify the distribution of observed data with assumed theoretical distribution. Therefore it is a measure to study the divergence of actual and expected frequencies; Karl Pearson’s has developed a method to test the difference between the theoretical (hypothesis) & the observed value. Chi – square test (X2) = (O – E)2 / E Degrees Of Freedom = V = (R – 1) (C -1) Were, ‘O’ = Observed Frequency ‘E’ = Expected Frequency ‘R’ = Number of Rows ‘C’ = Number of Columns For all the chi-square test the table value has taken @ 5% level of significance.

CHI – SQUARE TEST IS CONDUCTED TO EXTENT THE RELATIONSHIP BETWEEN THE AGE AND LEVEL OF SATISFACTION Hypothesis: Ho: There is no significant relationship between age and level of satisfaction. O

E

O-E

(O-E)2

(O-E)2/E

4

4.84

-0.84

0.7056

0.145

10

10.12

-0.12

0.0144

1.422

8

7.04

0.96

0.9216

0.131

6

5.28

0.72

0.5184

0.098

12

11.04

0.96

0.9216

0.083

6

7.68

-1.68

2.8224

0.367

1

0.88

0.12

0.0144

0.016

1

1.84

0.84

0.7056

0.383

2

1.28

0.72

0.5184

0.405

TOTAL

5.05

Degree of freedom - 4 Table value - 9.48 Calculated value - 5.05

INFERENCE: Since the calculated value is less than the table value. So the Null hypothesis is accepted. Hence, there is no significant relationship between age and level of satisfaction.

CHI – SQUARE TEST IS CONDUCTED TO EXTENT THE RELATIONSHIP BETWEEN THE GENDER AND LEVEL OF SATISFACTION Hypothesis: Ho: There is no significant relationship between gender and level of satisfaction. O

E

O-E

(O-E)2

(O-E)2/E

22

21.50

0.5

0.25

0.0116

3

3.50

-0.5

0.25

0.0714

17

17.20

-0.2

0.04

2.3255

3

2.80

0.2

0.04

0.0142

4

4.30

-0.3

0.09

0.0209

1

0.70

0.3

0.09

0.1285

TOTAL

2.5721

Degree of freedom - 2 Calculated value - 2.57 Table value - 5.99

INFERENCE: Since the calculated value is less than the table value. So the Null hypothesis is accepted. Hence, there is no significant relationship between gender and level of satisfaction.

CHI – SQUARE TEST IS CONDUCTED TO EXTENT THE RELATIONSHIP BETWEEN THE EDUCATIONAL QUALIFICATION AND LEVEL OF SATISFACTION Hypothesis: HO: There is no significant relationship between educational qualification and level of satisfaction. O

E

O-E

(O-E)2

(O-E)2/E

20

18.48

1.52

2.3104

0.1250

2

3.52

-1.52

2.3104

0.6563

18

19.32

-1.32

1.7424

0.0901

5

3.68

1.32

1.7424

0.4734

4

4.20

-0.2

0.04

9.5238

1

0.80

0.2

0.04

0.05

TOTAL

10.9186

Degree of freedom - 2 Calculated value - 10.91 Table value - 5.99 INFERENCE: Since the calculated value is more than the table value. The Null hypothesis is rejected. Hence, there is significant relationship between educational qualification and level of satisfaction.

CHI – SQUARE TEST IS CONDUCTED TO EXTENT THE RELATIONSHIP BETWEEN THE MARITAL STATUS AND LEVEL OF SATISFACTION Hypothesis: HO: There is no significant relationship between marital status and level of satisfaction. O

E

O-E

(O-E)2

(O-E)2/E

12

8.74

3.26

10.6276

1.2159

11

14.26

-3.26

10.6276

0.7452

5

8.74

-3.74

13.9876

1.6004

18

14.26

3.74

13.9876

0.9808

2

1.52

0.48

0.2304

0.1515

2

2.48

-0.48

0.2304

0.0929

TOTAL

4.7867

Degree of freedom - 2 Calculated value - 4.78 Table value - 5.99

INFERENCE: Since the calculated value is less than the table value. So the Null hypothesis is not accepted. Hence, there is significant relationship between marital status and level of satisfaction.

CHI – SQUARE TEST IS CONDUCTED TO EXTENT THE RELATIONSHIP BETWEEN THE EXPERIENCE AND LEVEL OF SATISFACTION Hypothesis: HO: There is no significant relationship between experience and level of satisfaction. O

E

O-E

(O-E)2

(O-E)2/E

9

11.50

-2.5

6.25

0.5434

11

9.00

2

4

0.4444

5

4.50

0.5

0.25

0.0555

12

9.66

2.34

5.4756

0.5668

6

7.56

-1.56

2.4336

0.3219

3

3.78

-0.78

0.6084

0.1609

2

1.84

0.16

0.0256

0.0139

1

1.44

-0.44

0.1936

0.1344

1

0.72

0.28

0.0784

0.1088

TOTAL

2.35

Degree of freedom - 4 Calculated value - 2.35 Table value - 9.48

INFERENCE: Since the calculated value is less than the table value. So the Null hypothesis is accepted. Hence, there is no significant relationship between experience and level of satisfaction.

CHI – SQUARE TEST IS CONDUCTED TO EXTENT THE RELATIONSHIP BETWEEN THE MONTHLY INCOME AND LEVEL OF SATISFACTION Hypothesis: HO: There is no significant relationship between monthly income and level of satisfaction. O

E

O-E

(O-E)2

(O-E)2/E

5

5.20

-0.2

0.04

7.6923

9

9.36

-0.36

0.1296

0.0167

12

1.14

10.86

117.9396

103.4557

4

4.00

0

0

0

8

7.20

0.8

0.64

0.0888

8

8.80

-0.8

0.64

0.0727

1

0.80

0.2

0.04

0.05

1

1.44

-0.44

0.1936

0.1344

2

1.76

0.24

0.0576

0.0327

TOTAL

111.5433

Degree of freedom - 4 Calculated value - 111.54 Table value - 9.48

INFERENCE: Since the calculated value is more than the table value. So the Null hypothesis is rejected. Hence, there is significant relationship between monthly income and level of satisfaction.

FINDINGS, SUGGESTIONS AND CONCLUSION

Age: �The percentage table reveals that the majority of the respondents are belongs to the group 21 years to 30 years of age. �The two-way table shows that the high satisfaction is derived by the old age group. �Chi-squire test indicates that there is no significant relationship between the age and level of satisfaction.

Gender: �From the percentage table the majority of the respondents are from the male group. �The two-way table says that the high level of satisfaction is obtained by the male group. �Chi-squire test reveals that there is no relationship between the gender and the level of satisfaction. Educational qualification: � From the percentage table the majority of the respondents are in graduate level educated group. � The two-way table showing the high level of satisfaction is derived by the graduate level group respondents. � The chi-squire test indicates that there is significant relationship between the educational qualification and the level of satisfaction.

Marital status: �The percentage table shows that the majority of the respondents are unmarried. �The two-way table showing the high satisfaction is derived by the unmarried group. �The chi-squire test indicates that there is no significant relationship between the marital status and the level of satisfaction. Experience: �From the percentage table majority of the respondents were in below 5 years of experience. � The two way table reveals that the high level of satisfaction is derived by the below 5 years of experience. � Chi-squire test shows that there is no relationship between the experience and the level of satisfaction.

Monthly income: �The percentage table indicates that the majority of the respondents are in Rs20,000 to Rs.25,000 salary group. �The two-way table tells us the high satisfaction is derived by the respondents who are in above Rs.20,000 group. �Chi-squire test reveals that there is significant relationship between the monthly income and the level of satisfaction.