Page 98 - ASBIRES-2017_Preceedings

Samarakkody & Dharmawansa

variable is self-checking performance and MSV<ASE. Hypothesis model was tested
the independent variables are the above using Structural equational modeling.
mentioned five factors. Since 18 item Table 2: Model fitting summary of
questionnaire was used to collect the data hypothesis model
via assumption checking and confirmatory
factor analysis entered to the structural Model fit indices Value Accepted
equational modeling. range

All the standardized data between -3.29 RMSEA 0.041 <0.05
and +3.29 which conclude no univariate
outliers. Skewness and kurtosis value for all GIF 0.932 >0.9
the items between -2 and +2 satisfy the AGFI 0.903 >0.9
univariate normality. The value of the
Mardia’s coefficient obtained in this study CFI 0.985 >0.9
was 27.299 which were within acceptable
range (less than 360; 18*20). Therefore data TLI 0.980 >0.9
set having fulfilled the pre requirements for
Structural equational modeling. As shown in NFI 0.985 >0.9
table 1, more items have factor loading
2
value of above 0.7 and all have R (Squared Chi-square/df 1.410 <5
multiple correlation) value over 0.4 which
confirms the unidiamentionality condition. As shown in table 2 all the basic

Table 1: CR, AVE, MSV and AS values requirements were fulfilled. In summary,
various index of overall goodness-of-fit for
Factors CR AVE MSV ASV the model lent sufficient support for the
Training results to be deemed an acceptable
and .81 .59 .06 .02 representation of the hypothesized model.
awareness Main five Hypothesis used in this study
was as follows.
Team effect .83 .63 .06 .03
Hypothesis 1: Training and awareness
Monitoring .88 .70 .03 .01 programs has a significant positive effect on
self-checking performance.
Motivation .96 .88 .06 .03
Hypothesis 2: Team effect has a significant
Rewarding .86 .68 .01 .00
positive effect on self-checking performance
Self- .96 .90 .04 .02
Checking Hypothesis 3: Monitoring programs has a
significant positive effect on self-checking
performance.
As shown in table 1, reliability was
achieved as all Cronbach Alpha value has Hypothesis 4: Motivation has a significant
scored over 0.7. Validity was tested using positive effect on self-checking
Old stat tool package by following performance.
decrement and convergent validity. Hypothesis 5: Rewarding has a significant

All CR > 0.7, AVE >0.5 and CR>AVE positive effect on self-checking
for each construct. So it confirms that performance.
convergent validity has achieved. Results Significant factors of the model which
support the discriminant validity because, was identified via the hypothesis testing
for each construct, ASV<AVE and were included in the Table 3.

88