Study Of 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 ar analyzed and computed by utilizing the Statistical Package societal Science ( SPSS ) package. add-ins and charts result be exhibited to show the consequences in an apprehensible mode. This chapter started off with the descriptive outline of the respondent demographic profile and cardinal number inclinations measurement of concepts. Next, scale measuring is to supply the consequences of dependability tryout. This is followed by the illative abbreviation with the Pearson correlativity coefficient analysis and multiple additive arrested growth analysis. Last is to reason this chapter.4.1 Descriptive Analysis4.1.1 demographic Profile of the RespondentsTable 4.1 Gender of RespondentsGenderFrequency fortune effectual circumstancesAccumulative characterValidMale10551.751.751.7Female9848.348.3100.0 undefiled203100.0100.0 lin eage highly-developed for the queryIn the Table 4.1 above, it showed the frequence and per centum of gender of 203 respondents. in that location 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 percentValid PercentageAccumulative PercentageValidUnder 21 doddery ages52.52.52.521-30 antiquated ages6733.033.035.531-40 gray-headed ages5426.626.662.141-50 old ages3115.315.377.351 old ages & A above4622.722.7100.0Entire203100.0100.0 commence true for the questionTable 4.2 presented the frequence and per centum of the age group of respondents. 5 respondents ( 2.5 % ) were nether 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 matrimonial Status of RespondentsMarital StatusFrequencyPerce ntageValid PercentageAccumulative PercentageValidSingle7336.036.036.0Married13064.064.0100.0Entire203100.0100.0Beginning genuine for the inquiryThe Table 4.3 indicated the frequence and per centum of the matrimonial position of respondents. The bulk of the respondents were repair hitched with which represented 64.0 % that is about 130 raft out of 203 respondents. Besides that, 73 respondents ( 36.0 % ) were still individual.Table 4.4 The Education Level of RespondentsEducation DegreeFrequencyPercentageValid PercentageAccumulative PercentageValidPrimary argument83.93.93.9 lowly instruction7737.937.941.9Certificate / Diploma8039.439.481.3Bachelor 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 gradation of respondents. From the information above, bulk of 80 respondents held a certification or parchment ( 39.4 % ) . The second and tertiary 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 loping Period of RespondentsWorking Time periodFrequencyPercentageValid PercentageAccumulative PercentageValidLess than 1 twelvemonth2311.311.311.31-5 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 personal line of credit period of respondents. The respondents were divided into six classs. 23 respondents head for the hillsed as an policy constituent for less(prenominal) than one twelvemonth ( 11.3 % ) , 63 respondents deeded for 1 to 5 old ages ( 31.0 % ) , 48 respondents stimulateed 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 bill of Constructs4.1.2.1 Commission PayTable 4.6 Cardinal Inclinations Measurement for Commission PayNo. directionMean metre DeviationCP1I ideate the deputation pursue is a really of import incentive for me.4.34480.75078CP2I am actuate by citizens committee net to seek my best attempts in work.4.25620.73350CP3My blood line public presentation determine the extra committee wage when bring home the bacon higher mark.4.28080.81141CP4I will retain the descent because I am genial with the committee wage.4.09850.85025CP5I work ruffianly is to acquire a better committee wage in this railway line.4.30050.78561Beginning Developed for the researchTable 4.6 illustrated the cardinal inclinations measurings of committee wage. Mentioning to the tabular set forth above, most respondents hold to the CP1 with just observe of 4.3448. The second highest was CP5 with mean(a) value of 4.3005. The 3rd and quaternate highest were CP3 and CP2 which had the total value of 4.2808 and 4.2562 severally. The last(a) median(a) value was CP4 which was 4.0985.From the tabular force above, CP4 had highest amount leaving value which was 0.85025. The 2nd and 3rd highest model difference value was CP3 and CP5 which had 0.81141 and 0.78561 severally. The 4th highest exemplification deviance was CP1 with the value of 0.75078. The lowest ideal difference value was 0.73350 by CP2.4.1.2.2 task SecurityTable 4.7 Cardinal Inclinations Measurement for stock SecurityNo.StatementMeanStandard DeviationJSM1I think pile security is another of import incentive for me.4.12320.68188JSM2I am motivated by the good occupation security in received occupation.3.98520.74779JSM3I feel my current occupation is unafraid, dependable and lasting.3.99510.82951JSM4My occupation public presentation is influenced by the occupation security.4.00000.79603JSM5I work hard is because I m afraid to loss this s postpone 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 fair(a) 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 attainment and incrementTable 4.8 Cardinal Inclinations Measurement for Opportunities for Advancement and DevelopmentNo.StatementMeanStandard DeviationAD1I think the chances for forward motion and teaching is another of import incentive for me.4.10340.79238AD2I am motivated by chances for procession and festering in current occupation.4.04430.75321AD3I nourish 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 independent 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 move execute good in current occupation.4.15270.75211W6I am elevated 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. base 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 satisfied with my occupation.4.13300.74265JS2I am satisfied with the flexibleness of the on the traffic 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 happy with the manner my co-workers and higher-ups treat me.4.09360.79982JS7I am authentically enjoyed with my occupation.4.22660.81925Beginning Developed for the researchHarmonizing to Table 4.10, it illustrated the cardinal inclinations measurings of occupation bliss. 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 4.0 591 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 set were JS1 of 0.74265 and JS2 of 0.68601.4.2 Scale Measurement4.2.1 Internal Reliability TestTable 4.11 Reliability StatisticVariableCronbach s CopernicanN of ItemsCP0.8815JSM0.8055Ad0.9115Tungsten0.8996Joule0.9017Beginning Developed for the researchThe dependability tally is test the consistence and truth of the IVs and DV which the credence degree of cronbach s of import more than 0.70.Based on the Table 4.11, the highest cronbach s alpha is chances for promotion and development stand up 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 th e cronbach s alpha ar 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 inconsistent atomic number 18 more than 0.70. Therefore, the questionnaire in this research is dependability and consistence.4.2.2 due north TestThe trial of mean(prenominal)cy, histogram with regular 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 NormalityKolmogorov-SmirnovaShapiro-WilkStatisticdfSig.StatisticdfSig.Standardized Residual.055203.200*.988203.091a. Lilliefors Significance Correction* . This is a lower leap of the true significance.Beginning Developed for the researchThis research uses 203 study questionnaires which the seek size is more than 50. Therefore, Kolmogorov-Smirnov s trial is usage for proving the normalcy as it is used to analyze larger sample size ( n & gt 50 ) . Based on the Table 4.12, the imp ortant 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 normally distributed.Besides, based on the Appendix G, the histogram with normal distribution curve of trade name trueness demoing a commonsense 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 corner to the fastness right corner and demo an upward incline of the graph. This can involve that the informations can be assumed to be usually distributed.4.2.3 Multicollinearity TestBased on the Table 4.14, the correlativity coefficient in the midst of 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 c oefficients are high betwixt 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 modellingCollinearity 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 Pay ( 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 the researchBy implementing Pearson Correlation Coefficient, Table 4.14 illustrates the consequences of the correlativity analysis of the four independent uncertains ( 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 head positive degree correspond 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 manifold Regression AnalysisTable 4.15 Multiple Regression AnalysisIndependent VariablesUnstandardizedCoefficientsStandardizedCoefficientst-valueSig.barnBetaChangeless.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 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 fragmentise 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 B shown in the tabular array 4.15 above. The arrested development equation is as belowJob satisfaction = 0.350 + 0.069 committee wage + 0.158 occupation security + 0.130 chances for p romotion 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 covering fire uping grounds for the consequences are being discussed in the undermentioned chapter.