Study Of Demographic Profile Of The Respondents Accounting Essay

In this chapter, resultant role is obtained through the informations aggregation method from 300 questionnaires. The informations obtained from questionnaires atomic number 18 analyzed and computed by utilizing the Statistical Pack climb on societal Science ( SPSS ) package. disconcerts and charts will be exhibited to show the minutes in an apprehensible mode. This chapter started off with the descriptive analysis of the responsive demographic profile and profound 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 breeding analysis. Last is to reason this chapter.4.1 Descriptive Analysis4.1.1 demographic Profile of the Respondents circumvent 4.1 Gender of RespondentsGenderFrequency regionValid percentage additive PercentageValidMale one hundred five51.751.751.7Female9848.348.3100.0 wide203100 .0100.0 offset printing actual for the lookIn the duck 4.1 above, it showed the frequence and per centum of sexual urge 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 RespondentsAgeFrequencyPercentageValid PercentageAccumulative PercentageValidUnder 21 honest-to-god ages52.52.52.521-30 disused ages6733.033.035.531-40 obsolescent ages5426.626.662.141-50 old ages3115.315.377.351 old ages & A above4622.722.7100.0Entire203100.0100.0 germ developed for the researchTable 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 StatusFrequencyPer centageValid PercentageAccumulative PercentageValidSingle7336.036.036.0Married13064.064.0100.0Entire203100.0100.0Beginning true for the researchThe 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 ab unwrap 130 people out of 203 respondents. Besides that, 73 respondents ( 36.0 % ) were still individual.Table 4.4 The Education Level of RespondentsEducation DegreeFrequencyPercentageValid PercentageAccumulative PercentageValidPrimary affirmation83.93.93.9Secondary instruction7737.937.941.9Certificate / sheepskin8039.439.481.3Bachelor s grade3316.316.397.5Master s grade52.52.5100.0Entire203100.0100.0Beginning Developed for the researchFrom 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 lord grade stamp downers were 8 people ( 3.9 % ) and 5 people ( 2.5 % ) severally.Table 4.5 The Working Period of RespondentsWorking Time periodFrequencyPercentageValid PercentageAccumulative PercentageValidLess than 1 year2311.311.311.31-5 old ages6331.031.042.46-10 old ages4823.623.666.011-15 old ages2512.312.378.316-20 old ages199.49.487.7Above 20 old ages2512.312.3100.0Entire203100.0100.0Beginning Developed for the researchThe Table 4.5 represented the frequence and per centum of the on the hypothecate period of respondents. The respondents were divided into six classs. 23 respondents taped as an insurance mover for little 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 metre of Constructs4.1.2.1 Commission fixTable 4.6 Cardinal Inclinations Measurement for Commission buckle underNo.Statement besottedStandard DeviationCP1I think the committee enlist is a really of import incentive for me.4.34480.75078CP2I am motivated by committee pursue to explore my best attempts in work.4.25620.73350CP3My assembly line public presentation determine the extra committee wage when give higher mark.4.28080.81141CP4I will retain the subscriber line because I am live up to with the committee wage.4.09850.85025CP5I work hard is to pay off a better committee wage in this transmission line.4.30050.78561Beginning Developed for the researchTable 4.6 illustrated the cardinal inclinations measurings of committee wage. Mentioning to the tabular array ab ove, most respondents agreed to the CP1 with modal(a) abide by of 4.3448. The 2nd highest was CP5 with middling lever of 4.3005. The 3rd and 4th highest were CP3 and CP2 which had the average rate of 4.2808 and 4.2562 severally. The lowest average esteem was CP4 which was 4.0985.From the tabular array above, CP4 had highest sample disagreement repute which was 0.85025. The 2nd and 3rd highest touchstone release order was CP3 and CP5 which had 0.81141 and 0.78561 severally. The 4th highest tired divergence was CP1 with the pry of 0.75078. The lowest measurement divergence value was 0.73350 by CP2.4.1.2.2 military control SecurityTable 4.7 Cardinal Inclinations Measurement for Job SecurityNo.StatementMeanStandard DeviationJSM1I think employment security is another of import incentive for me.4.12320.68188JSM2I am motivated by the good occupation security in current occupation.3.98520.74779JSM3I feel my current occupation is unafraid, honest and lasting.3.99510.82951JS M4My occupation public presentation is influenced by the occupation security.4.00000.79603JSM5I work hard is because I m afraid to loss this stable occupation.3.71431.00845Beginning Developed for the researchThe 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. 1.2.3 Opportunities for advancement and DevelopmentTable 4.8 Cardinal Inclinations Measurement for Opportunities for Advancement and DevelopmentNo.StatementMeanStandard DeviationAD1I think the chances for advancement and study is another of import incentive for me.4.10340.79238AD2I am motivated by chances for publicity and cultivation in current occupation.4.04430.75321AD3I have more chances for promotion and development in current occupation if I retain the occupation for longer period of clip.4.09360.78734AD4I have more chances to direct for preparation, learn accomplishment and developing myself in current occupation.4.10840.81330AD5I work hard is to acquire more chances for promotion and development in this occupation.4.16750.74563Beginning Developed for the researchTable 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 AD5.4.1.2.4 Work ItselfTable 4.9 Cardinal Inclinations Measurement for Work ItselfNo.StatementMeanStandard DeviationW1I have more fissiparous when I m working.4.17240.78654W2I have more assurance to accomplish the mark of the occupation.4.22170.75461W3I am willing to work hard with current occupation.4.20690.72886W4I am non willing to alter another occupation even if I get other occupation in elsewhere.3.82270.98909W5I think my ability dismiss execute good in current occupation.4.15270.75211W6I am proud to work with current occupation.4.20200.77944Beginning Developed for the researchThe Table 4. 9 above, it illustrated the cardinal inclinations measurings of work itself. establish 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 SatisfactionTable 4.10 Cardinal Inclinations Measurement for Job SatisfactionNo.StatementMeanStandard DeviationJS1In general I am quelled with my occupation.4.13300.74265JS2 I am satisfied with the flexibleness of the on the hire out hours in current occupation.4.30540.68601JS3I am satisfied with the committee wage strategy in current occupation.4.03940.78250JS4I will retain the occupation because I am satisfied with the occupation security.4.01480.74779JS5I am satisfied with the accomplishment in current occupation.4.05910.78125JS6I am adroit with the manner my co-workers and higher-ups treat me.4.09360.79982JS7I am truly enjoyed with my occupation.4.22660.81925Beginning Developed for the researchHarmonizing to Table 4.10, it illustrated the cardinal inclinations measurings of occupation joy. 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 StatisticVariableCronbach s AlphaN of ItemsCP0.8815JSM0.8055Ad0.9115west0.8996Joule0.9017Beginning Developed for the researchThe dependability trial is test the physical structure and truth of the IVs and DV which the credence degree of cronbach s important more than 0.70.Based on the Table 4.11, the highest cronbach s of import 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 argon 0.899 and 0.881. The lowest cronbach s a lpha 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 traffic patternity, histogram with normal curve, P-P secret computer programme and paste secret plan diagram are being used to demo the normal distri barelyion of informations.Table 4.12 Trials of NormalityKolmogorov-SmirnovaShapiro-WilkStatisticdfSig.StatisticdfSig.Standardized Residual.055203.200*.988203.091a. Lilliefors Signifi keepce Correction* . This is a lower edge of the true significance.Beginning Developed for the researchThis research uses 203 study questionnaires which the sample size is more than 50. Therefore, Kolmogorov-Smirnov s trial is use of goods and services for proving the normalcy as it is used to analyze larger sample size ( n & gt 50 ) . 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 G, 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 F, the normal chance secret plan of trade name prevarications near to the fanciful heterosexual line which is lifting from the lower-left box to the upper right corner and demo an upward incline of the graph. This can connote that the informations can be assumed to be usually distributed.4.2.3 Multicollinearity 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 multicolline arity job since they are all less than 0.8 in this research ( Field, 2005 ) .Furthermore, harmonizing to Table 4.13 the valuation account 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 MulticollinearityModelCollinearity StatisticssToleranceVIFCP_Average.6061.650JSM_Average.4932.029AD_Average.4972.013W_Average.4782.094Beginning Developed for the research4.3 Inferential Analysis4.3.1 Pearson s Correlation AnalysisTable 4.14 Pearson s Correlation AnalysisCPJSMAdTungstenJouleCommsion conciliate ( CP )1Job Security ( JSM ).581**1Opportunities for Advancement and Development ( AD ).496**.604**1Work Itself ( W ).528**.612**.657**1Job Satisfaction ( JS ).557**.659**.674**.836**1** . Correlation is important at the 0.01 degree ( 2-tailed ) .Beginning Developed for t he researchBy implementing Pearson Correlation Coefficient, Table 4.14 illustrates the consequences of the correlativity analysis of the foursome 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 check 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 fit with occupation sat isfaction.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 throwback AnalysisTable 4.15 Multiple Regression AnalysisIndependent VariablesUnstandardizedCoefficientsStandardizedCoefficientst-valueSig.BacillusBetaChangeless.3502.069.040Commission Pay.069.0741.610.109Job Security.158.1603.154.002Opportunities for Advancement and Development.130.1432.834.005Work Itself.562.60511.724.000R2.748Adjusted R2.743F147.264**Beginning Developed for the researchFrom 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 suppositional 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 de pendant 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 equating is as belowJob satisfaction = 0.350 + 0.069 committee wage + 0.158 occupation security + 0.130 chances for promotion and development + 0.562 work itself4.4 DecisionThree indep endent 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.