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1. Validity and Reliability Test
a. Validity Test Validity is a measure that indicates the extent to which the
measuring instrument was able to measure what it wants to quantified. Malholtra, 2003:269.
Validity of the test done by comparing the value of r
calculate
with r
table
for the degree of freedom df = n – 2, in this case n is the number
of samples. 30-2 = 28 and gained 0.05 alpha r
table
= 0.361. If r
calculate
is greater than r
table
then the grain question or otherwise valid indicators, if r
calculate
is lower than r
table
the grain of questions or indicators were declared invalid.
b. Reliabity Test Reliability is the extend to which a scale produces consistent
results if repated measurements are made on the last Malholtra 2003: 267. The value of variable reliability demonstrated by the Cronbach
Alpha coefficient. A variable is said to be the Alpha Cronbach coefficient of Reliability when 0.60, when the variable
is said to be 0.60 not reliability Malholtra 2003: 268.
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2. Path Analysis
The Path analysis model was used to analyze the patterns of relationships between variables with the aim to find out directly or
indirectly influence the set of free variables exogenous against the treikat variable endogenous Riduwan Engkos, 2007: 2
According to Riduwan Engkos 2007: 2 the benefits of path analysis are as follows:
a. Description of the phenomenon studied or researched the problem.
b. the Prediction variable Y based on the value of the variable X and predictions with path analysis is qualitative.
c. determination of the detreminan Factor variables X where the dominant influence of the related variables Y.
d. can be used to search for the mechanism line the influence of the free variable X against variables bound Y.
e. use of model theory Test trimming good test reliability and test new concepts of development.
application of method of trimming is used to correct a structural path analysis model by way of removing the
exogenous variables the coefficient of the coaster is not
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