Last Updated 25 Aug 2020

Study Of Demographic Profile Of The Respondents Accounting Essay

Category Accounting
Essay type Research
Words 2534 (10 pages)
Views 633

In this chapter, the consequence is obtained through the information aggregation method from 300 questionnaires. The information obtained from questionnaires is 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 concepts. Next, scale measuring is to supply the consequences of a dependability trial. This is followed by the illative analysis with the Pearson correlativity coefficient analysis and multiple additives arrested development analysis. The last is to reason for this chapter.

4.1 Descriptive Analysis

4.1.1 Demographic Profile of the Respondents

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Valid
Male Female Entire
105 98 203
51.7 48.3 100.0
51.7 48.3 100.0
51.7 100.0 100.0

Beginning: Developed for the research

Age

Valid Under 21 old ages 21-30 old ages 31-40 old ages 41-50 old ages 51 old ages above Entire
Frequency 5 67 54 31 46 203
Percentage 2.5 33.0 26.6 15.3 22.7 100.0
Valid Percentage 2.5 33.0 26.6 15.3 22.7 100.0
Accumulative Percentage 2.5 35.5 62.1 77.3 100.0 100.0

Beginning: Developed for the research

Marital Status

Valid Single Married Entire
Frequency 73 130 203
Percentage 36.0 64.0 100.0
Valid Percentage 36.0 64.0 100.0
Accumulative Percentage 36.0 100.0 100.0

Education Degree

Valid Primary instruction Secondary instruction Certificate / Diploma Bachelor's grade Master's grade Entire
Frequency 8 77 80 33 5 203
Percentage 3.9 37.9 39.4 16.3 2.5 100.0
Valid Percentage 3.9 37.9 39.4 16.3 2.5 100.0
Accumulative Percentage 3.9 41.9 81.3 97.5 100.0 100.0

Beginning: Developed for the research

Showed the frequency and per centum of the instruction degree of respondents. From the information above, the 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 an 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.

Working Time period

Valid Less than 1 twelvemonth 1-5 old ages 6-10 old ages 11-15 old ages 16-20 old ages Above 20 old ages Entire
Frequency 23 63 48 25 19 25 203
Percentage 11.3 31.0 23.6 12.3 9.4 12.3 100.0
Valid Percentage 11.3 31.0 23.6 12.3 9.4 12.3 100.0
Accumulative Percentage 11.3 42.4 66.0 78.3 87.7 100.0 100.0

Beginning: Developed for the research

Represented the frequency and per centum of the on the job period of respondents. The respondents were divided into six classes. 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

  • 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 the committee wage to seek my best attempts at work.
  • 4.2562
  • 0.73350
  • CP3
  • My occupation public presentation determines the extra committee wage when achieving a 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

Illustrated the cardinal inclinations measurements of committee wage. Mentioning to the tabular array above, most respondents agreed to the CP1 with an average value of 4.3448. The 2nd highest was CP5 with an average value of 4.3005. The 3rd and 4th highest was CP3 and CP2 which had an 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 the highest standard divergence value which was 0.85025. The 2nd and 3rd highest standard divergence values were CP3 and CP5 which had 0.81141 and 0.78561 severally. The 4th highest standard divergence was CP1 with a value of 0.75078. The lowest standard divergence value was 0.73350 by CP2.

4.1.2.2 Job Security

  • No.
  • Statement
  • Mean
  • Standard Deviation
  • JSM1
  • I think occupation security is another important 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 lose this stable occupation.
  • 3.7143
  • 1.00845

Beginning: Developed for the research

Illustrated the cardinal inclinations measurements 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.

4.1.2.3 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 the current occupation if I retain the occupation for a 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 measurements 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.

4.1.2.4 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 unwilling to alter another occupation even if I get other occupations elsewhere.
  • 3.8227
  • 0.98909
  • W5
  • I think my ability can execute well in my current occupation.
  • 4.1527
  • 0.75211
  • W6
  • I am proud to work with the current occupation.
  • 4.2020
  • 0.77944

Beginning: Developed for the research

Illustrated the cardinal inclinations measurements of the 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.

4.1.2.5 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 job hours in the current occupation.
  • 4.3054
  • 0.68601
  • JS3
  • I am satisfied with the committee wage strategy in the 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 have truly enjoyed my occupation.
  • 4.2266
  • 0.81925

Beginning: Developed for the research

Harmonizing to Table 4.10, it illustrated the cardinal inclinations measurements of occupation satisfaction. Based on the tabular array, most respondents agreed to the JS2 with an average value of 4.3054. The 2nd highest was JS7 that had a 4.2266 of the 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 an 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

  • 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 testing the consistency and truth of the IVs and DV which the credence degree of Cronbach's alpha more than 0.70. 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 is 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 variables is more than 0.70. Therefore, the questionnaire in this research is dependability and consistency.

4.2.2 Normality Test

The trial of normalcy, histogram with a normal curve, P-P secret plan, and spread secret plan diagram is being used to demo the normal distribution of information.

  • Kolmogorov-Smirnova
  • Shapiro-Wilk
  • Statistic
  • df
  • Sig.
  • Statistic
  • df
  • Sig.
  • Standardized Residual
  • .055
  • 203
  • .200*
  • .988
  • 203
  • .091

Lilliefors Significance Correction. This is a lower edge of true significance.

Beginning: Developed for the research

This research uses 203 study questionnaires in which the sample size is more than 50. Therefore, Kolmogorov-Smirnov's trial is useful for proving the normalcy as it is used to analyze a larger sample size. Besides, based on Appendix G, the histogram with normal distribution curve of trade name trueness demoing a sensible bell-shaped, and therefore the information can be assumed to be usually distributed. In add-on, from Appendix F, 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 an upward incline of the graph. This can connote that the information can be assumed to be usually distributed.

4.2.3 Multicollinearity 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. 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 jobs do not show in this research.

  • Model
  • Collinearity Statistics
  • Tolerance
  • VIP
  • 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

  • CP
  • JSM
  • Ad
  • Tungsten
  • Joule
  • Commission 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 a 0.01 degree ( 2-tailed ).

Beginning: Developed for the research

By implementing the Pearson Correlation Coefficient,  illustrates the consequences of the correlativity analysis of the four independent variables ( CP, JSM, AD, and W ) and one dependant variable ( JS ). For the 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 a moderate positive relationship between occupation security and occupation satisfaction. The p-value of chances for promotion and development is 0.000  and the R-value is 0.674. Hence, the chance for promotion and development is moderate positively correlated with occupation satisfaction. 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 a high positive relationship with occupation satisfaction.

4.3.2 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 the 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 left 25.2 % of occupation satisfaction is explained by other factors in this survey. Furthermore, harmonizing to the table above, the p-value ( Sig. 0.000 ) is less than the alpha value 0.05, therefore, the F- a statistic which equals 147.204 is important. That means this theoretical account is a good form of 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 are important to foretell the dependant variable ( occupation satisfaction ) in this survey because their p-values ( Sig. ) are less than the 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 the committee wage ( p=0.109 ) is more than the alpha value 0.05.

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 an important relationship with the independent variable ( occupation satisfaction ). However, the independent variable ( committee wage ) is a non important relationship with the dependant variable ( occupation satisfaction ). The consequences of the analysis and back using grounds for the consequences are being discussed in the undermentioned chapter.

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