Demographic Profile Of The Respondents Accounting Essay

In this chapter, consequence is obtained through the in frameations collecting method from 300 questionnaires. The informations obtained from questionnaires atomic number 18 analyze and computed by utilizing the Statistical Package societal Science ( SPSS ) package. add-ins and charts allow be exhibited to award the consequences in an apprehensible mode. This chapter started off with the descriptive analytic thinking of the respondent posegraphic visibleness and carmine inclinations bill of concepts. Next, scale measuring is to supply the consequences of depend faculty trial. This is followed by the inferential analysis with the Pearson correlational statistics coefficient analysis and quintuple additive arrested victimization analysis. Last is to debate this chapter.4.1 Descriptive abbreviation4.1.1 Demographic Profile of the Respondents gameboard 4.1 sex activity of RespondentsGenderFrequency charactervalid destiny additive constituent reasonableMalecv51.751.751.7 Female9848.348.3 carbon.0 accurate203100.0100.0 extraction essential for the searchIn the tabular raiment 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 % ) . circuit card 4.2 The Age Group of RespondentsAgeFrequencyPercentageValid Percentage cumulative PercentageValidUnder 21 gray ages52.52.52.521-30 over-the-hill ages6733.033.035.531-40 obsolete ages5426.626.662.141-50 gray ages3115.315.377.351 old ages & A above4622.722.7100.0Entire203100.0100.0 base substantial for the look into control panel 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. circuit board 4.3 The Marital Status of RespondentsMarital StatusFrequencyPercentageValid PercentageAccumulative PercentageValidSingle7336.036.036.0marital13064.064.0100.0Entire203100.0100.0 starting line create for the investigateThe display board 4.3 indicated the frequence and per centum of the married position of respondents. The bulk of the respondents were married which stand for 64.0 % that is ab step to the fore 130 flock out of 203 respondents. conveywhile, 73 respondents ( 36.0 % ) were still individual. elude 4.4 The discipline Level of RespondentsEducation DegreeFrequencyPercentageValid PercentageAccumulative PercentageValid primal precept83.93.93.9Secondary instruction7737.937.941.9Certificate / Diploma8039.439.481.3Bachelor s tally3316.316.397.5Master s grade52.52.5100.0Entire203100.0100.0Beginning actual for the queryFrom the plug-in 4.4, it showed the frequence and per centum of the instruction ground level of respondents. From the information above, bulk of 80 respondents held a certification or sheepskin ( 39.4 % ) . The second and third largest groups were 77 respondents who had completed the supplementary instruction ( 37.9 % ) and 33 respondents who held a unmarried man grade ( 16.3 % ) . Last, the respondents who had completed the first instruction and which is a maestro grade holders were 8 people ( 3.9 % ) and 5 people ( 2.5 % ) severally. knock blanket 4.5 The Working Period of RespondentsWorking magazine tipFrequencyPercentageValid 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 seekThe Table 4.5 represent the frequence and per centum of the on the argument point in time of respondents. The respondents were divided into six classs. 23 respondents blend ined as an restitution agent for little than one twelvem onth ( 11.3 % ) , 63 respondents oeuvreed for 1 to 5 old ages ( 31.0 % ) , 48 respondents doinged for 6 to 10 old ages ( 23.6 % ) , 25 respondents flirted for 11 to 15 old ages ( 12.3 % ) , 19 respondents beted 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 primordial Tendencies quantity of Constructs4.1.2.1 Commission repairTable 4.6 primeval Inclinations Measurement for Commission Pay no. tiltMeanStandard disputeCP1I rally the citizens committee lease is a really of importation incentive for me.4.34480.75078CP2I am motivate by committee engross to seek my outgo attempts in work.4.25620.73350CP3My job public presentment determine the extra committee occupy when achieve higher mark.4.28080.81141CP4I will retain the lineage because I am genial with the committee occupy.4.09850.85025CP5I work unsaid is to acquire a develop committee hire in this duty.4.30050.78561Beginning Developed for the queryTable 4.6 illustrated the cardinal inclinations measurings of committee absorb. Mentioning to the tabular array above, close to respondents agreed to the CP1 with just measure of 4.3448. The second highest was CP5 with bonnie take account of 4.3005. The tertiary and fourth highest were CP3 and CP2 which had the number cherish of 4.2808 and 4.2562 severally. The final second-rate appreciate was CP4 which was 4.0985.From the tabular array above, CP4 had highest step divergency observe which was 0.85025. The second and 3rd highest example deflection appreciate was CP3 and CP5 which had 0.81141 and 0.78561 severally. The quaternary highest specimen variability was CP1 with the determine of 0.75078. The lowest shopworn contrariety respect was 0.73350 by CP2.4.1.2.2 military control security measureTable 4.7 of import Inclinations Measurement for stock Security none taleMeanStandard dissensionJSM1I think seam protective cover is another of import i ncentive for me.4.12320.68188JSM2I am motivated by the good traffic security in certain descent.3.98520.74779JSM3I scent my received business organization is unafraid, dependable and lasting.3.99510.82951JSM4My bloodline public presentation is influenced by the course security.4.00000.79603JSM5I work warm is because I m afraid to loss this immutable melody.3.71431.00845Beginning Developed for the researchThe Table 4.7 illustrated the cardinal inclinations measurings of business organisation security. The consequence from the tabular array above, JSM1 had the highest fair(a) observe of 4.1232. The second highest average honor was JSM4 which was 4.000. The 3rd highest was JSM3 with the average nurture 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 in adequateity value of 1.00845. The 2nd highest standard dispute value was JSM3 whi ch was 0.82951. The 3rd highest was JSM4 with the standard diversity 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 simply 0.68188.4.2.2.3 Opportunities for Advancement and DevelopmentTable 4.8 Cardinal Inclinations Measurement for Opportunities for Advancement and DevelopmentNo.StatementMeanStandard DeviationAD1I think the chances for publicity and phylogeny is another of import incentive for me.4.10340.79238AD2I am motivated by chances for progress and growing in current occupation.4.04430.75321AD3I have to a greater extent chances for furtherance and increment in current occupation if I retain the occupation for longer period of clip.4.09360.78734AD4I have more than chances to strike for preparation, learn exploit and developing myself in current occupation.4.10840.81330AD5I work hard is to acquire more chances for promotion and knowledge in this occupation.4.16750. 74563Beginning Developed for the researchTable 4.8 illustrated the cardinal inclinations measurings of chances for promotion and discipline. 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 ItselfNo.StatementMeanStandard DeviationW1I have more freelancer when I m working.4.17240.78654W2I have more assurance to accomplish the mark of the occupation.4.22170.75461W3I am impulsive to work hard with current occupation.4.20690.72886W4I am non willing to alter anothe r occupation however if I get other occupation in elsewhere.3.82270.98909W5I think my ability dope execute good in current occupation.4.15270.75211W6I am imperial 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. 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 seve rally. The lowest standard divergence value was W3 which was 0.72886.4.2.2.5 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 tractableness of the on the job 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 truly enjoyed with my occupation.4.22660.81925Beginning Developed for the researchHarmonizing to Table 4.10, it illustrated the cardinal inclinations measurings of occupation happiness. Based on the tabular array, most(prenominal) respondents agreed to the JS2 with average value of 4.3054. T he 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 devil lowest standard divergence determine were JS1 of 0.74265 and JS2 of 0.68601.4.2 Scale Measurement4.2.1 Internal reliableness TestTable 4.11 Reliability StatisticVariableCronbach s AlphaN of ItemsCP0.8815JSM0.8055Ad0.9115Tungsten0.8996Joule0.9017Beginning Developed for the researchThe reliability trial is test the consistence and uprightness 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 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 be 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 are more than 0.70. Therefore, the questionnaire in this research is dependability and consistence.4.2.2 due north TestThe trial of normality, histogram with normal curve, P-P mystifying innovation and spread secret plan draw are being used to march the normal distri justion of informations.Table 4.12 Trials of normalityKolmogorov-SmirnovaShapiro-WilkStatisticdfSig.StatisticdfSig.Standardized Residual.055203.200*.988203.091a. Lilliefors Significance subject* . This is a lower edge of the honest significance.Beginning Developed for the researchThis 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 significant value of Kolmogorov-Smirnov s trial is equal to 0.200, which is more than 0.05. Thence, as the normalcy set forth is achieved, the informations can be sham to be usually distributed.Besides, based on the extension D, the histogram with normal distribution curve of allot name trueness demoing a certain bell-shaped and on that pointfore 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 conterminous to the fanciful heterosexual line which is lifting from the lower-left command 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, th e correlational statistics coefficient amidst 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 slight 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 slight than 10 severally in the multicollinearity statistics. Hence, multicollinearity job do non show in this research ( Hair et al. , 1992 ) .Table 4.13 MulticollinearityModelCollinearity Statisticss security depositVIFCP_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 AnalysisCPJSMAdTungstenJouleCommsio n 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 authorized 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 in hooklike uncertains ( CP, JSM, AD and W ) and one pendent 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 go for commanding fit 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 consanguin ity 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 relapsing AnalysisTable 4.15 Multiple Regression Analysis strong-minded VariablesUnstandardizedCoefficientsStandardizedCoefficientst-valueSig.BacillusBeta abiding.3502.069.040Commission Pay.069.0741.610.109Job Security.158.1603.154.002Opportunities for Advancement and Development.130.1432.834.005Work Itself.562.60511.724.000R2.748 familiarized R2.743F147.264**Beginning Developed for the researchFrom table 4.15 above, shows that the c orrelativity coefficient, R= 0.864, content that there is a positive correlativity between the four supreme variables and dependent variable. The value of R Square is 0.748 which indicates that 74.8 % of the discrepancy in the subject variable ( occupation satisfaction ) is explained by the 4 self-supporting 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 divinatory 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 sati sfaction 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 t he information from the editorial headed B shown in the tabular array 4.15 above. The arrested development equation is as beneathJob 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.