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whether these variables affect the dependent variable or not. Therefore, in this research used is the R Square that have been adapted or Adjusted R
2
as adjusted for the variables used in this research. Adjusted R
2
value can rise or fall if an independent variable added into the model.
5. Theoretical Hypotheses
a. t Test Partial Test
Partial test or t test aims to determine how big the influence of each independent variable X individually partially toward dependent
variable Y.
The hypothesis is: 1 Determine Hypothesis
Customer value hypothesis: Ho: β1=0, there is no significant influence partially between
customer value and customer loyalty. Ha: β1≠0, there is significant influence partially between customer
value and customer loyalty. Customer satisfaction hypothesis:
Ho: β2=0, there is no significant influence partially between customer satisfaction and customer loyalty.
Ha: β2≠0, there is significant influence partially between customer satisfaction and customer loyalty.
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Trust in brand hypothesis: Ho: β3=0, there is no significant influence partially between trust
in brand and customer loyalty. Ha: β3≠0, there is significant influence partially between trust in
brand and customer loyalty. 2 Determining level of significance
Criteria for testing the significance level is amount 5 or α =
0.05, t table search on signification 0.052 = 0.0025 2 tailed. 3 Determining t table
Distribution of t table searched on α = 5 with degree of freedom
df = n-k-1 number of questionnaire-number of independent variable-1
4 Two tailed test Douglas et al., 2010:365 Ho rejected if -t test -t table it means Ha accepted, so
independent variable partially has significant influence toward dependent variable.
Ho rejected if t test +t table it means Ha accepted, so independent variable partially has significant influence toward
dependent variable.
b. F Test Simultaneously Test
F Test basically indicates whether all the independent variables included in the model have simultaneously influence toward
dependent variable. Hypothesis testing with F statistics can be done
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by comparing the calculated F test with the value of F table. If the calculated F test is greater than the value of F table, then Ho is
rejected and Ha accepted. The hypothesis is:
1 Determine Hypothesis: Ho: β1, β2, β3=0, there is no significant influence simultaneously
among variable of customer value, customer satisfaction and trust
in brand toward customer loyalty.
Ha: β1, β2, β3≠0, there is significant influence simultaneously
among variable of customer value, customer satisfaction and trust in brand toward customer loyalty.
2 Determining level of significance Criteria for testing the significance level is amount 5 or
α =0.05.
3 Determining the criteria acceptance and reject of Ho If F test F table, so Ho rejected and Ha accepted, it means
independent variable simultaneously have significant influence to dependent variable.
If F test F table so Ho accepted and Ha rejected, it means independent variable simultaneously have no significant influence
to dependent variable.
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E. Research Operational Variable
Variable is anything that is an object, event, act, characteristic, trait, or attribute of observation in research and concepts that can be measured and to
which assigned categorical values Cooper, 2006:63. The variable in this research consist of independent variable and dependent variable, which is:
1. Independent Variable According to Cooper 2006:63, independent variable is the variable
manipulated by the researcher that gives influence or the causal of the changes happen or the effect from dependent variable. In this research as
the independent variables are customer value X1, trust in brand X2, and customer satisfaction X3.
2. Dependent Variable According to Cooper 2006:63, dependent variable is the variable
measured, predicted, or otherwise monitored by researcher; expected to be affected by manipulation of independent variable. The dependent variable
of this research is customer loyalty Y.
