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questions and statements in the questionnaire. Respondents were asked to fill out a questionnaire on the answer sheet provided, answer sheet the
questionnaires collected, selected, processed, and analyzed.
2. Secondary Data
Secondary Data is data that is obtained indirectly through the media middleman. Secondary Data used in this study come from a variety
of sources that may be available such as journals, books, thesis earlier, and internet media with regard to the topic of research to find and collect a
variety of reading materials and explore the existing theory.
D. Analysis Data Method
1. Validity and Reliability Test
a. Validity Test
Validity of the test used to measure valid or invalid a questionnaire. A questionnaire is said to be valid if the questions
on the questionnaire were able to reveal something that can be measured by the questionnaire Ghozali 2006: 49.
The validity of a test is done by comparing the value of ʳ calculated with ʳ table for the degree of freedom df = n – 2, in
this case, n is the number of samples. 30-2 = 28 and alpha = 0.05 obtained
ʳ table 0,361. If ʳ is greater than the calculated ʳ table then the grain question or otherwise valid indicators. However, if
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the calculated ʳ of ʳ table then the grain question or otherwise
invalid indicator.
b. Reliability Test
Reliability is a tool used to measure a questionnaire which is an indicator of the variable. A questionnaire was reliable if
respondent answers to a question are consistent or stable over time Ghazali, 2006: 45. Value of variable reliability expressed by
cronbach alpha coefficient. A variable declared reliable when cronbach alpha coefficient 0.60 when the variable is said to be
0.60 not reliable Ghozali, 2006: 46.
2. Path Analysis
In this research used to answer the problem formulation and testing the hypotheses used Path Analysis.
According to Borhstendt 2005 analysis of path is an extension of the regression model is used to analyze the relationships between variables
with the purpose to know the direct and indirect influences of the set of free variables exogenous to the variable endogenous.
According to Gozali 2011 path analysis is the use of regression analysis to the relationship of causality between the variables predicted
that has ruled previously existing theory. Analysis of line alone cannot determine a causal relationship and not used as a substitution for the
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researchers to look at the relationship of causality between the variables. The causality relationship between variables has been set up with a model
based on a theoretical basis. What can be done by path analysis is to determine the pattern of the relationship between several variables and not
used to confirm the relationship. The steps in the path analysis:
The first step in the analysis is draw a path in this research analysis, as there has been in the research model in chapter two.
The second step after the drawn line, then the analysis does is calculate correlation matrix between variables, where the formula for
calculating the coefficient correlation to search is to use the correlation formula Product Moment, here:
∑ √{ ∑
∑ { ∑
The third step is to calculate the correlation coefficient, identify the substructure and similarity coefficient to calculated path. By testing the
significance of the coefficient, the t. Declared significant if the value of p 0.05.
After make sure that the relationship of each variable is significant, then the next step is to calculate the magnitude influence of variables
exogenous to endogenous. The value of the coefficient component paths can be seen from the
regression coefficients. The coefficient is calculated by making two
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structural equations, i.e., the regression equations showing the hypothesized relationships.
According to Ridwan and Engkos 2007: 2 the benefits of path analysis are as follows :
a. An explanation of the phenomenon being studied or researched problems
b. The prediction variable Y based on the value of the variable X and predictions of path analysis are qualitative.
c. Determinant factors, namely the determination of the variable X where the dominant influence of the related variable Y
d. Can be used to search for the mechanism lines the influence of the free variable X against the associated variable Y
e. Testing the model using the trimming theory test reliability and test both the development of new concepts.
Application of the method use to fix the trimming a path analysis model by way of removing the exogenous variable path coefficients are
insignificant. Determination method of trimming on each substructure formed, performed with the following steps:
a. Describe the path diagram, the diagram with the only significant variable
b. Recalculate the coefficients of exogenous variables that track after insignificant issued
c. Calculated and coefficient of residues
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This analysis is used to determine the extent of the influence of Consumer perceived value
and Brand reputation to Consumer
commitment trough Consumer Trust
either directly or indirectly by use of the formula of equation models the two lines as follows:
Description: : Consumer Trust
: Consumer Commitment : Consumer Perceived Value
: Brand Reputation : Standard Error
E. Multiple Linear Regression
