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 Analysis4.1.1 Demographic Profile of the RespondentsTable 4.1: Gender of RespondentsGenderFrequency 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 RespondentsAgeFrequency 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 RespondentsMarital StatusFrequency 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 RespondentsEducation DegreeFrequency 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 RespondentsWorking Time periodFrequency 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 Constructs4.1.2.1 Commission PayTable 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 SecurityTable 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 DevelopmentTable 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 ItselfTable 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 SatisfactionTable 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 Measurement4.2.1 Internal Reliability TestTable 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 TestThe 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 TestBased 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 research4.3 Inferential Analysis4.3.1 Pearson ‘s Correlation AnalysisTable 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 AnalysisTable 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 â€Å" 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 itself4.4 DecisionThree 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.