string(67) ‘ hard is because I , meters afraid to loss this stable occupation\. ‘
With this chapter, consequence is obtained through the infos aggregation method from 300 questionnaires. The informations from questionnaires are analyzed and computed with the use of the Statistical Package societal Science ( SPSS ) package. Desks and graphs will be showed to show the outcomes in an apprehensible mode.
This kind of chapter began with the descriptive analysis from the respondent demographic profile and cardinal amour measuring of concepts. Subsequent, scale computing is to give you the consequences of dependability trial. This is accompanied by the illative analysis with all the Pearson correlativity coefficient examination and multiple additive caught development research. Last should be to reason this chapter.
4. 1 Detailed Analysis
some. 1 . one particular Demographic Profile of the Respondents
Table 4. 1: Male or female of Participants
Gender
Consistency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Male
105
51. 7
51. 7
51. 7
Female
98
48. 3
48. several
100. zero
Entire
203
100. 0
100. 0
Beginning: Designed for the study
In the Table 4. you above, that showed the frequence and per centum of gender of 203 respondents. There are a amount of a hundred and five male participants ( 51. 7 % ) and a total of 98 female participants ( twenty four. 3 % ).
Table 4. two: The Age Band of Respondents
Age
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Underneath 21 older ages
five
2 . a few
2 . five
2 . 5
21-30 older ages
67
33. 0
33. zero
35. your five
31-40 aged ages
fifty four
26. 6
26. 6
62. 1
41-50 aged ages
thirty-one
15. 3
15. 3
77. a few
51 older ages , A, over
46
twenty-two. 7
twenty two. 7
75. 0
Whole
203
100. 0
75. 0
Starting: Developed intended for the research
Table 4. 2 presented the frequence and per centum of the age bracket of respondents. 5 participants ( installment payments on your 5 % ) had been under 21 old age range old, 67 respondents ( 33. 0 % ) were 21 years old to 30 old age range old, 54 respondents ( 26. 6 % ) were 31 to 40 old age ranges old, 23 respondents ( 15. 3 % ) were 41 to 60 old ages old and 46 participants ( 22. 7 % ) were 51 older ages old and over.
Table four. 3: The Marital Status of Respondents
Marital Position
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Sole
73
thirty-six. 0
thirty eight. 0
thirty eight. 0
Married
130
64. 0
sixty four. 0
95. 0
Entire
203
95. 0
95. 0
Starting: Developed pertaining to the research
The Table 4. 3 mentioned the frequence and every centum of the matrimonial placement of participants. The bulk of the respondents were married which represented sixty four. 0 % that is about 130 persons out of 203 respondents. Besides that, 73 participants ( thirty-six. 0 % ) were still person.
Table four. 4: The Education Level of Respondents
Education Degree
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Primary instruction
8
3. on the lookout for
3. being unfaithful
3. 9
Secondary teaching
77
37. 9
37. 9
forty one. 9
Certificate / Diploma
80
39. 4
39. 4
seventy eight. 3
Bachelors , s i9000 grade
thirty-three
16. 3
16. a few
97. your five
Master , s class
5
2 . 5
installment payments on your 5
75. 0
Whole
203
75. 0
95. 0
Starting: Developed to get the research
Through the Table some. 4, that showed the frequence and per centum of the training degree of respondents. From the details above, almost all 80 respondents held a certification or perhaps sheepskin ( 39. four % ). The 2nd and 3rd most significant groups had been 77 participants who had accomplished the second instruction ( 37. on the lookout for % ) and 33 respondents who also held a unmarried guy grade ( 16. a few % ). Last, the respondents who had completed the principal instruction and which is a maestro grade cases were 8 people ( 3. on the lookout for % ) and 5 people ( 2 . five % ) severally.
Stand 4. 5: The Working Length of Respondents
Functioning Time period
Rate of recurrence
Percentage
Valid Percentage
Accumulative Percentage
Valid
Less than 1 twelvemonth
twenty-three
11. three or more
11. several
11. a few
1-5 outdated ages
63
31. 0
31. 0
42. 4
6-10 older ages
twenty four
23. 6th
23. 6th
66. zero
11-15 aged ages
25
12. three or more
12. a few
78. three or more
16-20 aged ages
19
9. 4
9. four
87. 7
Above twenty old ages
25
12. 3
12. 3
100. 0
Whole
203
75. 0
90. 0
Commencing: Developed for the research
The Table 4. 5 represented the frequence and per centum from the on the job amount of respondents. The respondents were divided into half a dozen classs. 3 respondents worked as an insurance agent cheaper than one twelvemonth ( 11. 3 % ), 63 respondents worked well for 1 to 5 aged ages ( 31. 0 % ), 48 participants worked to get 6 to 10 aged ages ( 23. six % ), 25 participants worked to get 11 to fifteen old ages ( 12. 3 % ), nineteen respondents proved helpful for of sixteen to 20 aged ages ( 9. four % ) and twenty-five respondents performed as a great insurance agent over 20 old ages ( 12. several % ).
4. 1 ) 2 Primary Tendencies Measurement of Constructs
4. 1 ) 2 . you Commission Pay
Table four. 6: Capital Inclinations Way of measuring for Commission rate Pay
No .
Statement
Indicate
Standard Change
CP1
I do think the committee wage is known as a really of import incentive for me.
4. 3448
zero. 75078
CP2
I was motivated simply by committee wage to seek my own best efforts in work.
4. 2562
zero. 73350
CP3
My job public display determine the excess committee salary when attain higher mark.
4. 2808
0. 81141
CP4
Let me retain the career because We am content with the panel wage.
5. 0985
zero. 85025
CP5
I knuckle down is to get a better panel wage in this occupation.
some. 3005
zero. 78561
Starting: Developed for the research
Stand 4. 6th illustrated the cardinal inclinations measurings of committee wage. Mentioning towards the tabular array above, many respondents consented to the CP1 with normal value of 4. 3448. The 2nd greatest was CP5 with common value of 4. 3005. The 3rd and 4th top were CP3 and CP2 which got the average worth of 4. 2808 and 4. 2562 severally. The best average worth was CP4 which was 5. 0985.
From the tabular array above, CP4 had top standard divergence value that has been 0. 85025. The 2nd and 3rd maximum standard curve value was CP3 and CP5 which in turn had zero. 81141 and 0. 78561 severally. The 4th greatest standard divergence was CP1 with the worth of 0. 75078. The cheapest standard divergence value was 0. 73350 by CP2.
4. 1 ) 2 . two Job Secureness
Table 4. 7: Cardinal Inclinations Dimension for Job Security
No .
Statement
Imply
Standard Change
JSM1
I believe occupation secureness is another of import incentive for me.
some. 1232
zero. 68188
JSM2
I are motivated by good profession security in current occupation.
3. 9852
0. 74779
JSM3
I find myself my current occupation is usually unafraid, dependable and lasting.
3. 9951
0. 82951
JSM4
My personal occupation open public presentation is definitely influenced by occupation secureness.
4. 0000
0. 79603
JSM5
My spouse and i work hard happens because I , m frightened to reduction this steady occupation.
three or more. 7143
1 . 00845
Start: Developed intended for the research
The Table 5. 7 illustrated the capital inclinations measurings of career security. The consequence from the tabular array above, JSM1 had the very best average value of some. 1232. The 2nd highest common value was JSM4 which was 4. 1000. The 3rd top was JSM3 with the common value of 3. 9951 that has been followed by JSM2 which a new average benefit of 3. 9852. The JSM5 had the lowest average value of 3. 7143.
Harmonizing to the Table 4. several, the JSM5 had the best standard curve value of 1. 00845. The next highest regular divergence value was JSM3 which was zero. 82951. The next highest was JSM4 with the standard curve value of 0. 79603 which was and then JSM2 which will had a regular divergence value of zero. 74779. The best standard divergence value was JSM1 which was merely zero. 68188.
5. 1 . installment payments on your 3 Chances for Advancement and Development
Table 4. 8: Cardinal Inclinations Measurement for Opportunities for Advancement and Advancement
No .
Declaration
Mean
Normal Deviation
AD1
I think the probabilities for promo and expansion is another of import bonus for me.
some. 1034
zero. 79238
AD2
I are motivated by simply chances for promotion and development in current job.
4. 0443
0. 75321
AD3
I possess more chances for promo and creation in current occupation basically retain the career for longer amount of clip.
four. 0936
0. 78734
AD4
I have more chances to direct intended for preparation, master accomplishment and developing personally in current occupation.
5. 1084
0. 81330
AD5
I knuckle down is to get more chances for advertising and development in this job.
4. 1675
0. 74563
Beginning: Created for the study
Table some. 8 illustrated the cardinal inclinations measurings of possibilities for promo and creation. In the term of typical value, AD5 had the greatest mean of 4. 1675. Second, it really is followed by AD4 of four. 1084, AD1 of four. 1034 and AD3 of 4. 0936. The AD2 had the minimum average benefit of some. 0443.
In the Table 5. 8, the AD4 experienced the highest standard divergence benefit of zero. 81330. Second, it is then AD1 together with the standard divergence value of 0. 79238, AD3 with all the standard curve value of 0. 78734 and AD2 with the normal divergence worth of 0. 75321. The cheapest standard curve value was 0. 74563 by AD5.
4. 1 . 2 . some Work By itself
Table some. 9: Capital Inclinations Dimension for Work Itself
Number
Statement
Imply
Standard Change
W1
I have more impartial when I , m operating.
4. 1724
0. 78654
W2
I’ve more guarantee to accomplish the mark in the occupation.
4. 2217
0. 75461
W3
I are willing to work harder with current occupation.
four. 2069
0. 72886
W4
I are non ready to alter one other occupation even if I get other profession in anywhere else.
3. 8227
0. 98909
W5
I think my ability can execute good in current occupation.
5. 1527
zero. 75211
W6
I was proud to work with current job.
4. 2020
0. 77944
Beginning: Designed for your research
The Desk 4. being unfaithful above, that illustrated the cardinal inclinations measurings of work itself. Based on the listar array, W2 had the very best average worth of 4. 2217. The second highest was W3 that had 5. 2069 of average benefit. The 3rd greatest was the W6 that experienced 4. 2020 of indicate value which was followed by, the W1 and W5 which will had the regular value of 4. 1724 and 5. 1527 severally. The W4 had the lowest average value was 3. 8227.
Inside the tabular mixture above, the greatest standard curve value was 0. 98909 by the W4. The 2nd greatest standard divergence value was W1 which was 0. 78654. The 3rd maximum standard divergence value was the W6 that had 0. 77944 which has been followed by, the W2 and W5 which had the standard divergence worth of zero. 75461 and 0. 75211 severally. The minimum standard curve value was W3 which was 0. 72886.
4. 1 . 2 . a few Job Satisfaction
Table 5. 10: Cardinal Inclinations Way of measuring for Task Satisfaction
No .
Statement
Imply
Standard Deviation
JS1
In general I i am satisfied with my personal occupation.
5. 1330
zero. 74265
JS2
I are satisfied with the flexibleness of the on the job several hours in current occupation.
four. 3054
0. 68601
JS3
I are satisfied with the committee wage strategy in current profession.
4. 0394
0. 78250
JS4
I will retain the job because My spouse and i am satisfied with the career security.
5. 0148
0. 74779
JS5
I i am satisfied with the accomplishment in current occupation.
4. 0591
0. 78125
JS6
My spouse and i am pleased with the manner my personal co-workers and higher-ups take care of me.
5. 0936
0. 79982
JS7
I i am truly appreciated with my own occupation.
some. 2266
0. 81925
Starting: Developed to get the research
Harmonizing to Table 4. 15, it illustrated the primary inclinations measurings of profession satisfaction. Based on the tabular array, many respondents consented to the JS2 with common value of 4. 3054. The 2nd top was JS7 that experienced 4. 2266 of average value. The 3rd and next highest typical value was JS1 and JS6 which is 4. 1330 and 4. 0936 severally. The fifth highest was JS5 with the average value of 5. 0591 which was followed by JS3 which had a average value of some. 0394. The minimum average benefit was the JS4 which was only 4. 0148.
In the term of standard divergence benefit, JS7 got the highest standard divergence of 0. 81925. Following, it truly is followed by JS6 of zero. 79982, JS3 of 0. 78250, JS5 of 0. 78125 and JS4 of 0. 74779. The two lowest standard curve values were JS1 of 0. 74265 and JS2 of 0. 68601.
some. 2 Scale Measurement
four. 2 . you Internal Reliability Test
Stand 4. 10: Reliability Figure
Variable
Cronbach , s i9000 Alpha
D of Items
CLUBPENGUIN
0. 881
5
JSM
0. 805
5
Advertisement
0. emmergency 911
5
Tungsten
0. 899
6
Joule
0. 901
7
Start: Developed for the research
The dependability trial is evaluation the consistence and real truth of the IVs and DV which the credence degree of cronbach , s i9000 alpha much more than 0. 75.
Based on the Table 5. 11, the best cronbach , s alpha is probabilities for promotion and expansion standing by 0. 911. The 2nd greatest is profession satisfaction that the cronbach , s alpha dog is zero. 901 and then committee wage and job itself that this cronbach , s alpha are 0. 899 and 0. 881. The lowest cronbach , s alpha is definitely occupation security standing at 0. 805.
From the consequence, overall the cronbach , s leader for all adjustable are more than 0. 75. Therefore , the questionnaire through this research is dependability and consistence.
4. installment payments on your 2 Normality Test
The trial of normalcy, histogram with usual curve, P-P secret plan and propagate secret plan diagram are being used to demo the normal syndication of explications.
Table 4. 12: Studies of Normality
Kolmogorov-Smirnova
Shapiro-Wilk
Statistic
df
Sig.
Figure
df
Sig.
Standardized Residual
. 055
203
. 200*
. 988
203
. 091
a. Lilliefors Significance Correction
*. This is a lower edge of the the case significance.
Beginning: Developed for the research
This research uses 203 research questionnaires that this sample dimensions are more than 40. Therefore , Kolmogorov-Smirnov , t trial is usually usage to get proving the normalcy since it is used to assess larger sample size ( n , gt, 50 ). Based upon the Desk 4. doze, the important worth of Kolmogorov-Smirnov , s i9000 trial is equal to zero. 200, which is more than zero. 05. Thence, as the normalcy assumption is obtained, the annonces can be assumed to be usually distributed.
Besides, based on the Appendix G, the histogram with regular distribution curve of control name accuracy demoing a smart bell-shaped and therefore the informations could be assumed to get usually sent out.
In add-on, from the Appendix F, the conventional chance top secret plan of trade identity prevarications near the fanciful heterosexual line which can be lifting from your lower-left nook to the top right-hand side corner and demo an upward incline of the chart. This can indicate that the annonces can be assumed to be usually distributed.
5. 2 . three or more Multicollinearity Evaluation
Based on the Table 5. 14, the correlativity pourcentage between IVs were zero. 581 pertaining to CP and JSM, 0. 496 for CP and AD, zero. 528 intended for CP and W, 0. 604 pertaining to JSM and AD, zero. 612 to get JSM and W, and 0. 657 for ADVERTISEMENT and Watts. Therefore , these kinds of correlativity rapport are substantial between IVs but there is absolutely no multicollinearity task since they are every less than zero. 8 in this research ( Field, 2006 ).
Furthermore, harmonizing to Table four. 13 the tolerance and VIF benefit for CLUBPENGUIN ( zero. 606 1 . 650 ), JSM ( 0. 493 2 . 029 ), ADVERTISEMENT (. 497 2 . 013 ) and W (. 478 installment payments on your 094 ) are more than 0. 1 and less than 10 severally in the multicollinearity statistics. Consequently, multicollinearity task do non show from this research ( Hair et al., 1992 ).
Stand 4. 13: Multicollinearity
Unit
Collinearity Statisticss
Tolerance
VIF
CP_Average
. 606
1 . 600
JSM_Average
. 493
2 . 029
AD_Average
. 497
2 . 013
W_Average
. 478
2 . 094
Beginning: Created for the study
4. several Inferential Evaluation
4. a few. 1 Pearson , h Correlation Research
Table some. 14: Pearson , s Correlation Evaluation
CP
JSM
Ad
Tungsten
Joule
Commsion Pay ( CP )
1
Work Security ( JSM )
. 581**
1
Opportunities to advance and Advancement ( ADVERTISEMENT )
. 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 level ( 2-tailed ).
Commencing: Developed intended for the research
Simply by implementing Pearson Correlation Pourcentage, Table 4. 14 displays the consequences of the correlativity examination of the several independent variables ( CP, JSM, ADVERTISING and T ) and one conditional variable ( JS ).
The effect from Desk 4. 18 shows that p-value of panel wage is 0. 000 which is lower than the significance benefit 0. 01 degree ( 2-tailed ) and the 3rd there’s r value is 0. 557. Therefore , the analysis effect concludes that committee salary is moderate positive correlated with occupation satisfaction.
For job security varying, the p-value is zero. 000 which can be lower than the importance value 0. 01 degree ( 2-tailed ) and the R benefit is zero. 659 which indicates there is average positive romantic relationship between career security and occupation satisfaction.
In the Table 4. 16, the p-value of chances for advertising and development is 0. 000 ( P , lt, zero. 01 ) and the Ur value is definitely 0. 674. Hence, the chance for advertising and advancement is moderate positive correlated with occupation satisfaction.
As proven in the Stand 4. 18, the p-value of work by itself is 0. 00 which is lower than the significance value zero. 01 level ( 2-tailed ) as well as the R benefit is 0. 836. On those grounds, the work alone has excessive positive relationship with job satisfaction.
four. 3. two Multiple Regression Analysis
Table 4. 15: Multiple Regression Analysis
3rd party Variables
Unstandardized
Coefficients
Standardised
Coefficients
t-value
Sig.
Bacillus
Beta
Changeless
. 350
installment payments on your 069
. 040
Commission Pay out
. 069
. 074
1 . 610
. 109
Task Security
. 158
. 160
3. 154
. 002
Opportunities for Advancement and Expansion
. 130
. 143
2 . 834
. 005
Operate Itself
. 562
. 605
eleven. 724
. 000
R2
. 748
Adjusted R2
. 743
F
147. 264**
Beginning: Produced for your research
From table 4. 12-15 above, demonstrates that the correlativity coefficient, R= 0. 864, means that there is a positive correlativity between the four independent factors and dependent variable. The value of R Sq . is 0. 748 which indicates that seventy four. 8 % of the discrepancy in the dependant variable ( occupation pleasure ) can be explained by the 4 independent variables ( committee salary, occupation protection, chances for promotion and development, and work by itself ). However , it is continue to leaves twenty-five. 2 % of job satisfaction can be explained by other factors in this review.
Furthermore, harmonizing to desk above, p-value ( Sej. 0. 500 ) is less than alpha value 0. 05, therefore , the F- figure which equals to 147. 204 is important. That mean this theoretical account is an excellent form pertaining to the connection between the residuary and forecasters. Therefore , the independent variables ( committee wage, career security, possibilities for campaign and creation, and operate itself ) are drastically explicating the discrepancy in the occupation pleasure among insurance agents. Since the p-value is less than 0. 05 and is inside the cull part which H0 is declined.
Harmonizing to Table 5. 15, career security ( p=0. 002 ), probabilities for advertising and development ( p= 0. 005 ), work itself ( p , lt, zero. 001 ) are important to foretell the dependant varying ( profession satisfaction ) in this study because their particular p-values ( Sig. ) are less than alpha value 0. 05. From the multiple arrested creation analysis, profession security, probabilities for advertising and creation and work itself are definitely the of importance motive factors that affect the occupation pleasure among insurance agents in Malaysia. Between these IVs, work by itself is the most powerful determiner. Yet , the self-employed variable ( committee income ) is non drastically foretelling the dependant variable ( occupation satisfaction ). This is because panel wage ( p=0. 109 ) much more than the leader value zero. 05.
Therefore , a multiple additive busted development is formed by utilizing the information from the column headed ” B ” shown in the tabular array 4. 15 above. The arrested advancement equation is as below:
Work satisfaction sama dengan 0. 350 + zero. 069 committee wage + 0. 158 occupation protection + 0. 130 probabilities for campaign and creation + zero. 562 function itself
5. 4 Decision
Three independent variables ( occupation reliability, chances for promotion and development and work by itself ) for this research are normally found to hold essential relationship while using independent varying ( job satisfaction ). However , the independent variable ( committee wage ) is no important marriage with the dependant variable ( occupation pleasure ). Effects of the analysis and back again uping environment for the consequences are getting discussed inside the undermentioned part.
