In this chapter, consequence is attained through the informations aggregation technique from three hundred questionnaires. The informations extracted from questionnaires will be analyzed and computed through the use of the Record Package social Science ( SPSS ) package. Dining tables and graphs will be showed to show the effects in an apprehensible mode.
This kind of chapter started off with the descriptive analysis with the respondent demographic profile and cardinal amour measuring of concepts. Following, scale calculating is to supply the consequences of dependability trial. This is then the illative analysis with the Pearson correlativity coefficient evaluation and multiple additive busted development examination. Last is to reason this chapter.
Table some. 1: Sexuality of Participants
Consistency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Male
105
51. 7
51. several
51. several
Female
98
48. 3
48. several
100. 0
Entire
203
100. 0
100. 0
Beginning: Designed for the research
In the Table 4. one particular above, that showed the frequence and per centum of gender of 203 respondents. There are a sum of a hundred and five male respondents ( fifty-one. 7 % ) and a amount of 98 female respondents ( twenty four. 3 % ).
Stand 4. two: The Age Selection of Respondents
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Underneath 21 outdated ages
5
2 . a few
2 . 5
2 . five
21-30 old ages
67
33. 0
33. zero
35. five
31-40 aged ages
54
26. 6th
26. six
62. 1
41-50 older ages
thirty-one
15. a few
15. a few
77. several
51 aged ages , A, over
46
twenty-two. 7
22. 7
75. 0
Complete
203
75. 0
90. 0
Start: Developed pertaining to the research
Table 4. two presented the frequence and per centum of the age bracket of participants. 5 participants ( installment payments on your 5 % ) had been under twenty one old age groups old, 67 respondents ( 33. zero % ) were twenty one to 40 old age range old, 54 respondents ( 26. six % ) were 23 to 40 old age groups old, thirty-one respondents ( 15. a few % ) were forty one to 60 old ages old and 46 participants ( 22. 7 % ) were 51 older ages aged and over.
Table some. 3: The Marital Position of Respondents
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Single
73
36. 0
thirty eight. 0
thirty-six. 0
Committed
130
sixty four. 0
sixty four. 0
95. 0
Complete
203
100. 0
90. 0
Beginning: Developed for the research
The Table four. 3 suggested the frequence and per centum with the matrimonial situation of participants. The bulk of the respondents were married which usually represented 64. 0 % that is regarding 130 persons out of 203 respondents. Meanwhile, 73 respondents ( 36. zero % ) were nonetheless individual.
Desk 4. 5: The Education Level of Respondents
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Primary instruction
8
three or more. 9
a few. 9
three or more. 9
Supplementary instruction
seventy seven
37. 9
37. being unfaithful
41. on the lookout for
Certificate as well as Diploma
eighty
39. four
39. four
81. three or more
Bachelor , s class
33
sixteen. 3
sixteen. 3
ninety-seven. 5
Learn , t grade
five
2 . five
2 . your five
100. zero
Entire
203
100. 0
100. zero
Beginning: Designed for the research
From the Desk 4. 5, it confirmed the frequence and per centum of the instruction amount of respondents. Through the information above, bulk of 70 respondents kept a documentation or sheepskin ( 39. 4 % ). The 2nd and third largest groupings were seventy seven respondents who completed the secondary instructions ( thirty seven. 9 % ) and 33 participants who held a unmarried man class ( of sixteen. 3 % ). Previous, the respondents who had finished the primary instruction and which is a maestro grade holders had been 8 people ( several. 9 % ) and 5 people ( 2 . 5 % ) severally.
Table 4. 5: The Working Period of Participants
Frequency
Percentage
Valid Percentage
Accumulative Percentage
Valid
Less than 1 twelvemonth
23
14. 3
10. 3
14. 3
1-5 old age range
63
thirty-one. 0
thirty-one. 0
forty two. 4
6-10 old ages
48
twenty three. 6
23. 6
66. 0
11-15 old age ranges
25
doze. 3
doze. 3
80. 3
16-20 old ages
19
being unfaithful. 4
being unfaithful. 4
87. 7
Over 20 outdated ages
twenty-five
12. three or more
12. 3
100. zero
Entire
203
100. 0
100. zero
Beginning: Produced for the research
The Table 4. a few represented the frequence and per centum of the on the job period of participants. The participants were divided into six classs. 23 participants worked since an insurance agent for less than one particular twelvemonth ( 11. a few % ), 63 participants worked intended for 1 to 5 old age ranges ( thirty-one. 0 % ), forty eight respondents worked for six to 12 old age range ( twenty-three. 6 % ), 25 respondents worked well for 11 to 15 outdated ages ( 12. 3 % ), 19 participants worked for 16 to 20 old age ranges ( on the lookout for. 4 % ) and 25 participants worked since an insurance broker above twenty old age ranges ( doze. 3 % ).
Stand 4. six: Cardinal Inclinations Measurement to get Commission Shell out
No .
Affirmation
Mean
Regular Deviation
CP1
I think the committee wage is a actually of importance incentive for me.
4. 3448
0. 75078
CP2
My spouse and i am motivated by committee wage to get my best attempts at work.
4. 2562
0. 73350
CP3
My personal occupation community presentation identify the extra committee wage once achieve higher mark.
some. 2808
0. 81141
CP4
I will retain the occupation because I are satisfied with the committee income.
4. 0985
0. 85025
CP5
I actually work hard is to acquire a better committee wage in this job.
4. 3005
0. 78561
Beginning: Produced for the study
Table 4. 6 illustrated the primary inclinations measurings of committee wage. Mentioning to the tabular array above, most participants agreed to the CP1 with average worth of some. 3448. The next highest was CP5 with average worth of four. 3005. The next and 4th highest were CP3 and CP2 which had the standard value of 4. 2808 and 4. 2562 severally. The lowest normal value was CP4 that was 4. 0985.
From the tabular array above, CP4 got highest regular divergence benefit which was zero. 85025. The next and 3 rd highest regular divergence worth was CP3 and CP5 which had 0. 81141 and zero. 78561 severally. The fourth highest normal divergence was CP1 with the value of 0. 75078. The lowest normal divergence benefit was 0. 73350 by CP2.
Table 4. six: Cardinal Inclinations Measurement for Job Secureness
No .
Affirmation
Mean
Normal Deviation
JSM1
I think career security is another of import incentive to me.
4. 1232
0. 68188
JSM2
I am motivated by the very good occupation protection in current occupation.
three or more. 9852
zero. 74779
JSM3
I feel my own current profession is unafraid, dependable and lasting.
three or more. 9951
zero. 82951
JSM4
My occupation public business presentation is affected by the job security.
4. 0000
0. 79603
JSM5
I continue to work hard is because I actually , m afraid to loss this kind of stable career.
3. 7143
1 . 00845
Beginning: Designed for the investigation
The Stand 4. 7 illustrated the cardinal amour measurings of occupation security. The consequence from the listar array over, JSM1 experienced the highest average value of 4. 1232. The 2nd highest average value was JSM4 which was 4. 000. The next highest was JSM3 while using average benefit of 3. 9951 which was and then JSM2 which will had a normal value of three. 9852. The JSM5 had the lowest typical value of 3. 7143.
Harmonizing to the Table some. 7, the JSM5 had the highest standard divergence value of 1. 00845. The 2nd greatest standard divergence value was JSM3 which was 0. 82951. The 3rd greatest was JSM4 with the common divergence worth of 0. 79603 that was followed by JSM2 which a new standard divergence value of 0. 74779. The lowest standard divergence value was JSM1 which was merely 0. 68188.
Table 4. 8: Cardinal Inclinations Measurement for Options for Advancement and Development
No .
Statement
Suggest
Standard Deviation
AD1
I do think the chances pertaining to promotion and development is another of import incentive for me.
4. 1034
0. 79238
AD2
I am determined by probabilities for promotion and development in current occupation.
5. 0443
zero. 75321
AD3
I have more chances for promotion and development in current career if I retain the occupation for longer period of cut.
4. 0936
0. 78734
AD4
I use more chances to direct for preparing, learn success and growing myself in current job.
4. 1084
0. 81330
AD5
We work hard should be to acquire even more chances pertaining to promotion and development in this occupation.
some. 1675
0. 74563
Starting: Developed for the research
Stand 4. almost 8 illustrated the cardinal amour measurings of chances intended for promotion and development. In the term of average value, AD5 had the highest mean of four. 1675. Second, it is then AD4 of 4. 1084, AD1 of 4. 1034 and AD3 of some. 0936. The AD2 had the lowest common value of 4. 0443.
From the Desk 4. almost eight, the AD4 had the highest standard divergence value of 0. 81330. Second, it really is followed by AD1 with the common divergence value of zero. 79238, AD3 with the common divergence benefit of zero. 78734 and AD2 with the standard curve value of 0. 75321. The lowest standard divergence value was zero. 74563 simply by AD5.
Stand 4. on the lookout for: Cardinal Inclinations Measurement intended for Work Alone
No .
Affirmation
Mean
Common Deviation
W1
I have even more independent while i , m working.
four. 1724
zero. 78654
W2
I have even more assurance to complete the tag of the job.
4. 2217
0. 75461
W3
We am willing to work hard with current profession.
4. 2069
0. 72886
W4
I actually am non willing to change another occupation even if My spouse and i get additional occupation in elsewhere.
a few. 8227
0. 98909
W5
I think my ability can easily execute good in current occupation.
4. 1527
0. 75211
W6
I am pleased to work with current occupation.
four. 2020
zero. 77944
Start: Developed pertaining to the research
The Table four. 9 over, it illustrated the cardinal inclinations measurings of work alone. Based on the tabular array, W2 got the highest average value of 4. 2217. The 2nd maximum was W3 that experienced 4. 2069 of average value. The next highest was the W6 that had 4. 2020 of mean benefit which was then, the W1 and W5 which experienced the average value of some. 1724 and 4. 1527 severally. The W4 got the lowest common value was 3. 8227.
In the tabular array previously mentioned, the highest regular divergence value was zero. 98909 by W4. The 2nd highest standard divergence benefit was W1 which was zero. 78654. The next highest common divergence worth was the W6 that had 0. 77944 which was then, the W2 and W5 which had the standard curve value of 0. 75461 and 0. 75211 severally. The lowest standard divergence value was W3 which was zero. 72886.
Stand 4. twelve: Cardinal Inclinations Measurement to get Job Fulfillment
No .
Declaration
Mean
Common Deviation
JS1
In general I am pleased with my occupation.
4. 1330
0. 74265
JS2
My spouse and i am content with the flexibleness of the at work hours in current career.
4. 3054
0. 68601
JS3
I actually am pleased with the panel wage strategy in current occupation.
5. 0394
0. 78250
JS4
I will retain the occupation since I was satisfied with the occupation reliability.
4. 0148
0. 74779
JS5
I actually am satisfied with the achievement in current occupation.
four. 0591
0. 78125
JS6
I are happy with the way in which my co-workers and higher-ups treat me.
4. 0936
0. 79982
JS7
I actually am truly enjoyed with my job.
4. 2266
0. 81925
Beginning: Produced for your research
Harmonizing to Table some. 10, it illustrated the cardinal amour measurings of occupation satisfaction. Based on the tabular array, most respondents agreed to the JS2 with average worth of 4. 3054. The second highest was JS7 that had 4. 2266 of average value. The 3rd and 4th highest average worth was JS1 and JS6 which is 5. 1330 and 4. 0936 severally. The 5th top was JS5 with the average value of 4. 0591 which was and then JS3 which will had a typical value of 4. 0394. The lowest typical value was the JS4 that was merely 4. 0148.
Inside the term of standard curve value, JS7 had the best standard curve of zero. 81925. Following, it is followed by JS6 of 0. 79982, JS3 of 0. 78250, JS5 of 0. 78125 and JS4 of zero. 74779. The two lowest common divergence ideals were JS1 of 0. 74265 and JS2 of 0. 68601.
Table some. 11: Trustworthiness Statistic
Changing
Cronbach , s Alpha dog
N of things
CP
0. 881
a few
JSM
0. 805
5
Ad
0. 911
5
Tungsten
0. 899
6th
Joule
0. 901
several
Beginning: Designed for your research
The dependability trial is definitely test the consistence and truth from the IVs and DV that this credence amount of cronbach , s leader more than 0. 70.
Depending on the Stand 4. 10, the highest cronbach , t alpha is usually chances for promotion and development position at zero. 911. The second highest is occupation fulfillment which the cronbach , h alpha is 0. 901 followed by committee wage and work on its own which the cronbach , s alpha happen to be 0. 899 and zero. 881. The cheapest cronbach , s first is profession security position at zero. 805.
In the consequence, overall the cronbach , s i9000 alpha for all variable will be more than zero. 70. Consequently , the questionnaire in this studies dependability and consistence.
The trial of normalcy, histogram with normal contour, P-P top secret plan and spread secret plan picture are being used to demo the regular distribution of informations.
Stand 4. doze: Trials of Normality
Kolmogorov-Smirnova
Shapiro-Wilk
Figure
df
Sig.
Statistic
df
Sig.
Standardized Residual
. 055
203
. 200*
. 988
203
. 091
a. Lilliefors Value Correction
2.. This is a lower edge of the true value.
Beginning: Developed for the research
This study uses 203 study forms which the test size is much more than 100. Therefore , Kolmogorov-Smirnov , s trial is consumption for proving the normalcy as it is utilized to analyze greater sample size ( d , gt, 100 ). Based on the Table four. 12, the top value of Kolmogorov-Smirnov , s trial is equal to 0. 2 hundred, which is a lot more than 0. 05. Thence, since the normalcy premise is definitely achieved, the informations could be assumed being usually given away.
Besides, based upon the Appendix D, the histogram with normal syndication curve of trade brand trueness demoing a sensible bell-shaped and therefore the explications can be believed to be generally distributed.
In add-on, from your Appendix E, the normal opportunity secret strategy of control name prevarications near to the fanciful heterosexual collection which is training from the lower-left corner for the upper right corner and demo a upward incline from the graph. This could connote the fact that informations may be assumed to be usually sent out.
Depending on the Desk 4. 16, the correlativity coefficient between IVs had been 0. about 580 for CLUBPENGUIN and JSM, 0. 496 for CP and ADVERTISING, 0. 528 for CP and T, 0. 604 for JSM and ADVERTISING, 0. 612 for JSM and T, and 0. 657 pertaining to AD and W. Therefore , these correlativity coefficients are high between IVs but there is no multicollinearity job considering they are all lower than 0. almost 8 in this analysis ( Field, 2005 ).
Furthermore, harmonizing to Desk 4. 13 the threshold and ÉVEILLÉ value for CP ( 0. 606 1 . 600 ), JSM ( 0. 493 2 . 029 ), AD (. 497 2 . 013 ) and T (. 478 2 . 094 ) will be more than 0. 1 and less than 10 severally inside the multicollinearity stats. Hence, multicollinearity job do non display in this research ( Hair et approach., 1992 ).
Table four. 13: Multicollinearity
Model
Collinearity Statisticss
Threshold
VIF
CP_Average
. 606
1 ) 650
JSM_Average
. 493
installment payments on your 029
AD_Average
. 497
2 . 013
W_Average
. 478
2 . 094
Starting: Developed pertaining to the research
Table 4. 14: Pearson , s Relationship Analysis
CP
JSM
Ad
Tungsten
Joule
Commsion Spend ( CP )
one particular
Job Secureness ( JSM )
. 581**
1
Opportunities for Advancement and Development ( AD )
. 496**
. 604**
1
Operate Itself ( W )
. 528**
. 612**
. 657**
1
Job Fulfillment ( JS )
. 557**
. 659**
. 674**
. 836**
one particular
**. Correlation is important at the 0. 01 degree ( 2-tailed ).
Beginning: Designed for the study
By putting into action Pearson Correlation Coefficient, Stand 4. 16 illustrates the outcomes of the correlativity analysis from the four impartial variables ( CP, JSM, AD and W ) and one particular dependant changing ( JS ).
The consequence via Table 5. 14 demonstrates that p-value of committee wage is 0. 000 which is less than the importance value 0. 01 degree ( 2-tailed ) plus the R worth is 0. 557. Therefore , the examination consequence proves that panel wage is usually moderate confident correlated with occupation satisfaction.
To get occupation protection variable, the p-value is definitely 0. 000 which is lower than the significance value 0. 01 degree ( 2-tailed ) and the 3rd there’s r value is usually 0. 659 which indicates there exists moderate confident relationship between occupation reliability and occupation satisfaction.
Inside the Table four. 14, the p-value of chances to get promotion and development is usually 0. 500 ( P , luxury touring, 0. 01 ) plus the R benefit is zero. 674. Consequently, the chance pertaining to promotion and development is definitely moderate great correlated with occupation satisfaction.
While shown inside the Table some. 14, the p-value of itself can be 0. 00 which is lower than the significance value 0. 01 degree ( 2-tailed ) and the R value can be 0. 836. As a consequence, the effort itself provides high confident relationship with occupation pleasure.
Table some. 15: Multiple Regression Research
Independent Factors
Unstandardized
Coefficients
Standardized
Coefficients
t-value
Sej.
Bacillus
Beta
Changeless
. 350
2 . 069
. 040
Commission Pay
. 069
. 074
1 . 610
. 109
Job Protection
. 158
. one hundred sixty
3. 154
. 002
Chances for Advancement and Development
. 130
. 143
installment payments on your 834
. 005
Work On its own
. 562
. 605
11. 724
. 000
R2
. 748
Modified R2
. 743
F
147. 264**
Starting: Developed pertaining to the research
Via table some. 15 previously mentioned, shows that the correlativity coefficient, R= 0. 864, means that there is a great correlativity between the four self-employed variables and dependent changing. The value of Ur Square is definitely 0. 748 which indicates that 74. almost 8 % in the discrepancy in the dependant adjustable ( profession satisfaction ) is explained by the four independent variables ( committee wage, profession security, chances for promo and expansion, and function itself ). However , it truly is still leaves 25. two % of occupation fulfillment is explained by other factors with this survey.
Furthermore, harmonizing to table over, p-value ( Sig. zero. 000 ) is less than alpha value zero. 05, consequently , the F- statistic which will equals to 147. 204 is important. That mean this kind of theoretical accounts is a good form for the relation between the residuary and forecasters. Consequently , the impartial variables ( committee income, occupation reliability, chances intended for promotion and development, and work by itself ) are significantly explicating the disparity in the profession satisfaction between insurance providers. Since the p-value is less than 0. 05 and is also in the cull part which H0 is rejected.
Harmonizing to Stand 4. 12-15, occupation protection ( p=0. 002 ), chances to get promotion and development ( p= 0. 005 ), work alone ( s , lt, 0. 001 ) are important to foretell the dependant variable ( occupation pleasure ) in this survey because their p-values ( Sej. ) are much less than alpha value 0. 05. From the multiple arrested development analysis, occupation security, chances intended for promotion and development and work on its own are the of import motive factors that affect the job satisfaction among insurance agents in Malaysia. Among these kinds of IVs, function itself is the strongest determiner. However , the independent varying ( panel wage ) is low significantly foretelling the dependant variable ( occupation fulfillment ). This is because committee salary ( p=0. 109 ) is more compared to the alpha value 0. 05.
Therefore , a multiple ingredient arrested expansion is formed through the use of the information in the column going ” W ” proven in the tabular array some. 15 previously mentioned. The imprisoned development equation is as beneath:
Job satisfaction = zero. 350 & 0. 069 committee income + 0. 158 occupation security & 0. 135 chances pertaining to promotion and development + 0. 562 work by itself
Three independent factors ( career security, probabilities for promo and development and work itself ) for this study are found to keep important relationship with the self-employed variable ( occupation pleasure ). However , the independent variable ( committee salary ) is non significant relationship together with the dependant adjustable ( career satisfaction ). Consequences with the analysis and back uping grounds for the consequences will be being mentioned in the undermentioned chapter.
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