Demographic Profile Of The Respondents Accounting Essay

In this chapter, consequence is obtained through the informations aggregation method from 300 questionnaires. The informations obtained from questionnaires are analyzed and computed by utilizing the Statistical Package societal Science ( SPSS ) package. Tables and charts will be exhibited to show the consequences in an apprehensible mode. This chapter started off with the descriptive analysis of the respondent demographic profile and cardinal inclinations measuring of concepts. Next, scale measuring is to supply the consequences of dependability trial. This is followed by the illative analysis with the Pearson correlativity coefficient analysis and multiple additive arrested development analysis. Last is to reason this chapter.
4.1 Descriptive Analysis
4.1.1 Demographic Profile of the Respondents

Table 4.1: Gender of Respondents
Gender
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Male
105
51.7
51.7
51.7
Female
98
48.3
48.3
100.0
Entire
203
100.0
100.0
Beginning: Developed for the research
In the Table 4.1 above, it showed the frequence and per centum of gender of 203 respondents. There were a sum of 105 male respondents ( 51.7 % ) and a sum of 98 female respondents ( 48.3 % ) .
Table 4.2: The Age Group of Respondents
Age
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Under 21 old ages
5
2.5
2.5
2.5
21-30 old ages
67
33.0
33.0
35.5
31-40 old ages
54
26.6
26.6
62.1
41-50 old ages
31
15.3
15.3
77.3
51 old ages & A ; above
46
22.7
22.7
100.0
Entire
203
100.0
100.0
Beginning: Developed for the research
Table 4.2 presented the frequence and per centum of the age group of respondents. 5 respondents ( 2.5 % ) were under 21 old ages old, 67 respondents ( 33.0 % ) were 21 to 30 old ages old, 54 respondents ( 26.6 % ) were 31 to 40 old ages old, 31 respondents ( 15.3 % ) were 41 to 50 old ages old and 46 respondents ( 22.7 % ) were 51 old ages old and above.
Table 4.3: The Marital Status of Respondents
Marital Status
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Single
73
36.0
36.0
36.0
Married
130
64.0
64.0
100.0
Entire
203
100.0
100.0
Beginning: Developed for the research
The Table 4.3 indicated the frequence and per centum of the matrimonial position of respondents. The bulk of the respondents were married which represented 64.0 % that is about 130 people out of 203 respondents. Meanwhile, 73 respondents ( 36.0 % ) were still individual.
Table 4.4: The Education Level of Respondents
Education Degree
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Primary instruction
8
3.9
3.9
3.9
Secondary instruction
77
37.9
37.9
41.9
Certificate / Diploma
80
39.4
39.4
81.3
Bachelor ‘s grade
33
16.3
16.3
97.5
Master ‘s grade
5
2.5
2.5
100.0
Entire
203
100.0
100.0
Beginning: Developed for the research
From the Table 4.4, it showed the frequence and per centum of the instruction degree of respondents. From the information above, bulk of 80 respondents held a certification or sheepskin ( 39.4 % ) . The 2nd and 3rd largest groups were 77 respondents who had completed the secondary instruction ( 37.9 % ) and 33 respondents who held a unmarried man grade ( 16.3 % ) . Last, the respondents who had completed the primary instruction and which is a maestro grade holders were 8 people ( 3.9 % ) and 5 people ( 2.5 % ) severally.
Table 4.5: The Working Period of Respondents
Working Time period
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Less than 1 twelvemonth
23
11.3
11.3
11.3
1-5 old ages
63
31.0
31.0
42.4
6-10 old ages
48
23.6
23.6
66.0
11-15 old ages
25
12.3
12.3
78.3
16-20 old ages
19
9.4
9.4
87.7
Above 20 old ages
25
12.3
12.3
100.0
Entire
203
100.0
100.0
Beginning: Developed for the research
The Table 4.5 represented the frequence and per centum of the on the job period of respondents. The respondents were divided into six classs. 23 respondents worked as an insurance agent for less than one twelvemonth ( 11.3 % ) , 63 respondents worked for 1 to 5 old ages ( 31.0 % ) , 48 respondents worked for 6 to 10 old ages ( 23.6 % ) , 25 respondents worked for 11 to 15 old ages ( 12.3 % ) , 19 respondents worked for 16 to 20 old ages ( 9.4 % ) and 25 respondents worked as an insurance agent above 20 old ages ( 12.3 % ) .
4.1.2 Cardinal Tendencies Measurement of Constructs
4.1.2.1 Commission Pay
Table 4.6: Cardinal Inclinations Measurement for Commission Pay
No.
Statement
Mean
Standard Deviation
CP1
I think the committee wage is a really of import incentive for me.
4.3448
0.75078
CP2
I am motivated by committee wage to seek my best attempts in work.
4.2562
0.73350
CP3
My occupation public presentation determine the extra committee wage when achieve higher mark.
4.2808
0.81141
CP4
I will retain the occupation because I am satisfied with the committee wage.
4.0985
0.85025
CP5
I work hard is to acquire a better committee wage in this occupation.
4.3005
0.78561
Beginning: Developed for the research
Table 4.6 illustrated the cardinal inclinations measurings of committee wage. Mentioning to the tabular array above, most respondents agreed to the CP1 with average value of 4.3448. The 2nd highest was CP5 with average value of 4.3005. The 3rd and 4th highest were CP3 and CP2 which had the average value of 4.2808 and 4.2562 severally. The lowest average value was CP4 which was 4.0985.
From the tabular array above, CP4 had highest standard divergence value which was 0.85025. The 2nd and 3rd highest standard divergence value was CP3 and CP5 which had 0.81141 and 0.78561 severally. The 4th highest standard divergence was CP1 with the value of 0.75078. The lowest standard divergence value was 0.73350 by CP2.
4.1.2.2 Job Security
Table 4.7: Cardinal Inclinations Measurement for Job Security
No.
Statement
Mean
Standard Deviation
JSM1
I think occupation security is another of import incentive for me.
4.1232
0.68188
JSM2
I am motivated by the good occupation security in current occupation.
3.9852
0.74779
JSM3
I feel my current occupation is unafraid, dependable and lasting.
3.9951
0.82951
JSM4
My occupation public presentation is influenced by the occupation security.
4.0000
0.79603
JSM5
I work hard is because I ‘m afraid to loss this stable occupation.
3.7143
1.00845
Beginning: Developed for the research
The Table 4.7 illustrated the cardinal inclinations measurings of occupation security. The consequence from the tabular array above, JSM1 had the highest average value of 4.1232. The 2nd highest average value was JSM4 which was 4.000. The 3rd highest was JSM3 with the average value of 3.9951 which was followed by JSM2 which had a average value of 3.9852. The JSM5 had the lowest average value of 3.7143.
Harmonizing to the Table 4.7, the JSM5 had the highest standard divergence value of 1.00845. The 2nd highest standard divergence value was JSM3 which was 0.82951. The 3rd highest was JSM4 with the standard divergence value of 0.79603 which was followed by JSM2 which had a standard divergence value of 0.74779. The lowest standard divergence value was JSM1 which was merely 0.68188.
4.2.2.3 Opportunities for Advancement and Development
Table 4.8: Cardinal Inclinations Measurement for Opportunities for Advancement and Development
No.
Statement
Mean
Standard Deviation
AD1
I think the chances for promotion and development is another of import incentive for me.
4.1034
0.79238
AD2
I am motivated by chances for promotion and development in current occupation.
4.0443
0.75321
AD3
I have more chances for promotion and development in current occupation if I retain the occupation for longer period of clip.
4.0936
0.78734
AD4
I have more chances to direct for preparation, learn accomplishment and developing myself in current occupation.
4.1084
0.81330
AD5
I work hard is to acquire more chances for promotion and development in this occupation.
4.1675
0.74563
Beginning: Developed for the research
Table 4.8 illustrated the cardinal inclinations measurings of chances for promotion and development. In the term of average value, AD5 had the highest mean of 4.1675. Second, it is followed by AD4 of 4.1084, AD1 of 4.1034 and AD3 of 4.0936. The AD2 had the lowest average value of 4.0443.
From the Table 4.8, the AD4 had the highest standard divergence value of 0.81330. Second, it is followed by AD1 with the standard divergence value of 0.79238, AD3 with the standard divergence value of 0.78734 and AD2 with the standard divergence value of 0.75321. The lowest standard divergence value was 0.74563 by AD5.
4.2.2.4 Work Itself
Table 4.9: Cardinal Inclinations Measurement for Work Itself
No.
Statement
Mean
Standard Deviation
W1
I have more independent when I ‘m working.
4.1724
0.78654
W2
I have more assurance to accomplish the mark of the occupation.
4.2217
0.75461
W3
I am willing to work hard with current occupation.
4.2069
0.72886
W4
I am non willing to alter another occupation even if I get other occupation in elsewhere.
3.8227
0.98909
W5
I think my ability can execute good in current occupation.
4.1527
0.75211
W6
I am proud to work with current occupation.
4.2020
0.77944
Beginning: Developed for the research
The Table 4.9 above, it illustrated the cardinal inclinations measurings of work itself. Based on the tabular array, W2 had the highest average value of 4.2217. The 2nd highest was W3 that had 4.2069 of average value. The 3rd highest was the W6 that had 4.2020 of mean value which was followed by, the W1 and W5 which had the average value of 4.1724 and 4.1527 severally. The W4 had the lowest average value was 3.8227.
In the tabular array above, the highest standard divergence value was 0.98909 by the W4. The 2nd highest standard divergence value was W1 which was 0.78654. The 3rd highest standard divergence value was the W6 that had 0.77944 which was followed by, the W2 and W5 which had the standard divergence value of 0.75461 and 0.75211 severally. The lowest standard divergence value was W3 which was 0.72886.
4.2.2.5 Job Satisfaction
Table 4.10: Cardinal Inclinations Measurement for Job Satisfaction
No.
Statement
Mean
Standard Deviation
JS1
In general I am satisfied with my occupation.
4.1330
0.74265
JS2
I am satisfied with the flexibleness of the on the job hours in current occupation.
4.3054
0.68601
JS3
I am satisfied with the committee wage strategy in current occupation.
4.0394
0.78250
JS4
I will retain the occupation because I am satisfied with the occupation security.
4.0148
0.74779
JS5
I am satisfied with the accomplishment in current occupation.
4.0591
0.78125
JS6
I am happy with the manner my co-workers and higher-ups treat me.
4.0936
0.79982
JS7
I am truly enjoyed with my occupation.
4.2266
0.81925
Beginning: Developed for the research
Harmonizing to Table 4.10, it illustrated the cardinal inclinations measurings of occupation satisfaction. Based on the tabular array, most respondents agreed to the JS2 with average value of 4.3054. The 2nd highest was JS7 that had 4.2266 of average value. The 3rd and 4th highest average value was JS1 and JS6 which is 4.1330 and 4.0936 severally. The 5th highest was JS5 with the average value of 4.0591 which was followed by JS3 which had a average value of 4.0394. The lowest average value was the JS4 which was merely 4.0148.
In the term of standard divergence value, JS7 had the highest standard divergence of 0.81925. Following, it is followed by JS6 of 0.79982, JS3 of 0.78250, JS5 of 0.78125 and JS4 of 0.74779. The two lowest standard divergence values were JS1 of 0.74265 and JS2 of 0.68601.
4.2 Scale Measurement
4.2.1 Internal Reliability Test
Table 4.11: Reliability Statistic
Variable
Cronbach ‘s Alpha
N of Items
CP
0.881
5
JSM
0.805
5
Ad
0.911
5
Tungsten
0.899
6
Joule
0.901
7
Beginning: Developed for the research
The dependability trial is test the consistence and truth of the IVs and DV which the credence degree of cronbach ‘s alpha more than 0.70.
Based on the Table 4.11, the highest cronbach ‘s alpha is chances for promotion and development standing at 0.911. The 2nd highest is occupation satisfaction which the cronbach ‘s alpha is 0.901 followed by committee wage and work itself which the cronbach ‘s alpha are 0.899 and 0.881. The lowest cronbach ‘s alpha is occupation security standing at 0.805.
From the consequence, overall the cronbach ‘s alpha for all variable are more than 0.70. Therefore, the questionnaire in this research is dependability and consistence.
4.2.2 Normality Test
The trial of normalcy, histogram with normal curve, P-P secret plan and spread secret plan diagram are being used to demo the normal distribution of informations.
Table 4.12: Trials of Normality
Kolmogorov-Smirnova
Shapiro-Wilk
Statistic
df
Sig.
Statistic
df
Sig.
Standardized Residual
.055
203
.200*
.988
203
.091
a. Lilliefors Significance Correction
* . This is a lower edge of the true significance.
Beginning: Developed for the research
This research uses 203 study questionnaires which the sample size is more than 100. Therefore, Kolmogorov-Smirnov ‘s trial is usage for proving the normalcy as it is used to analyze larger sample size ( n & gt ; 100 ) . Based on the Table 4.12, the important value of Kolmogorov-Smirnov ‘s trial is equal to 0.200, which is more than 0.05. Thence, as the normalcy premise is achieved, the informations can be assumed to be usually distributed.
Besides, based on the Appendix D, the histogram with normal distribution curve of trade name trueness demoing a sensible bell-shaped and therefore the informations can be assumed to be usually distributed.
In add-on, from the Appendix E, the normal chance secret plan of trade name prevarications near to the fanciful heterosexual line which is lifting from the lower-left corner to the upper right corner and demo a upward incline of the graph. This can connote that the informations can be assumed to be usually distributed.
4.2.3 Multicollinearty Test
Based on the Table 4.14, the correlativity coefficient between IVs were 0.581 for CP and JSM, 0.496 for CP and AD, 0.528 for CP and W, 0.604 for JSM and AD, 0.612 for JSM and W, and 0.657 for AD and W. Therefore, these correlativity coefficients are high between IVs but there is no multicollinearity job since they are all less than 0.8 in this research ( Field, 2005 ) .
Furthermore, harmonizing to Table 4.13 the tolerance and VIF value for CP ( 0.606 1.650 ) , JSM ( 0.493 2.029 ) , AD ( .497 2.013 ) and W ( .478 2.094 ) are more than 0.1 and less than 10 severally in the multicollinearity statistics. Hence, multicollinearity job do non show in this research ( Hair et al. , 1992 ) .
Table 4.13: Multicollinearity
Model
Collinearity Statisticss
Tolerance
VIF
CP_Average
.606
1.650
JSM_Average
.493
2.029
AD_Average
.497
2.013
W_Average
.478
2.094
Beginning: Developed for the research
4.3 Inferential Analysis
4.3.1 Pearson ‘s Correlation Analysis
Table 4.14: Pearson ‘s Correlation Analysis
CP
JSM
Ad
Tungsten
Joule
Commsion Pay ( CP )
1
Job Security ( JSM )
.581**
1
Opportunities for Advancement and Development ( AD )
.496**
.604**
1
Work Itself ( W )
.528**
.612**
.657**
1
Job Satisfaction ( JS )
.557**
.659**
.674**
.836**
1
** . Correlation is important at the 0.01 degree ( 2-tailed ) .
Beginning: Developed for the research
By implementing Pearson Correlation Coefficient, Table 4.14 illustrates the consequences of the correlativity analysis of the four independent variables ( CP, JSM, AD and W ) and one dependant variable ( JS ) .
The consequence from Table 4.14 shows that p-value of committee wage is 0.000 which is less than the significance value 0.01 degree ( 2-tailed ) and the R value is 0.557. Therefore, the analysis consequence concludes that committee wage is moderate positive correlated with occupation satisfaction.
For occupation security variable, the p-value is 0.000 which is lower than the significance value 0.01 degree ( 2-tailed ) and the R value is 0.659 which indicates there is moderate positive relationship between occupation security and occupation satisfaction.
In the Table 4.14, the p-value of chances for promotion and development is 0.000 ( P & lt ; 0.01 ) and the R value is 0.674. Hence, the chance for promotion and development is moderate positive correlated with occupation satisfaction.
As shown in the Table 4.14, the p-value of work itself is 0.00 which is lower than the significance value 0.01 degree ( 2-tailed ) and the R value is 0.836. As a consequence, the work itself has high positive relationship with occupation satisfaction.
4.3.2 Multiple Regression Analysis
Table 4.15: Multiple Regression Analysis
Independent Variables
Unstandardized
Coefficients
Standardized
Coefficients
t-value
Sig.
Bacillus
Beta
Changeless
.350
2.069
.040
Commission Pay
.069
.074
1.610
.109
Job Security
.158
.160
3.154
.002
Opportunities for Advancement and Development
.130
.143
2.834
.005
Work Itself
.562
.605
11.724
.000
R2
.748
Adjusted R2
.743
F
147.264**
Beginning: Developed for the research
From table 4.15 above, shows that the correlativity coefficient, R= 0.864, means that there is a positive correlativity between the four independent variables and dependent variable. The value of R Square is 0.748 which indicates that 74.8 % of the discrepancy in the dependant variable ( occupation satisfaction ) is explained by the 4 independent variables ( committee wage, occupation security, chances for promotion and development, and work itself ) . However, it is still leaves 25.2 % of occupation satisfaction is explained by other factors in this survey.
Furthermore, harmonizing to table above, p-value ( Sig. 0.000 ) is less than alpha value 0.05, therefore, the F- statistic which equals to 147.204 is important. That mean this theoretical account is a good form for the relation between the residuary and forecasters. Therefore, the independent variables ( committee wage, occupation security, chances for promotion and development, and work itself ) are significantly explicating the discrepancy in the occupation satisfaction among insurance agents. Since the p-value is less than 0.05 and is in the cull part which H0 is rejected.
Harmonizing to Table 4.15, occupation security ( p=0.002 ) , chances for promotion and development ( p= 0.005 ) , work itself ( p & lt ; 0.001 ) are important to foretell the dependant variable ( occupation satisfaction ) in this survey because their p-values ( Sig. ) are less than alpha value 0.05. From the multiple arrested development analysis, occupation security, chances for promotion and development and work itself are the of import motive factors that affect the occupation satisfaction among insurance agents in Malaysia. Among these IVs, work itself is the strongest determiner. However, the independent variable ( committee wage ) is non significantly foretelling the dependant variable ( occupation satisfaction ) . This is because committee wage ( p=0.109 ) is more than the alpha value 0.05.
Therefore, a multiple additive arrested development is formed by utilizing the information from the column headed “ B ” shown in the tabular array 4.15 above. The arrested development equation is as below:
Job satisfaction = 0.350 + 0.069 committee wage + 0.158 occupation security + 0.130 chances for promotion and development + 0.562 work itself
4.4 Decision
Three independent variables ( occupation security, chances for promotion and development and work itself ) for this research are found to hold important relationship with the independent variable ( occupation satisfaction ) . However, the independent variable ( committee wage ) is non important relationship with the dependant variable ( occupation satisfaction ) . Consequences of the analysis and back uping grounds for the consequences are being discussed in the undermentioned chapter.