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Recapitulation Test Result Validity Research Instruments Source: Results of the research data processing Based on the test results the validity of indicators for Organizational Structure variables can be indicated by the value of standardized loading, which illustrates the magnitude of the correlation values between each indicator with contruct. This indicates that all the items have questions correlation more than 0.5 so it can be stated that the whole question items Organizational Structure variables used are valid and can be used to measure the variables studied. An indicator is said to be valid if it has a value of standardized loading> 0.5. Purposes of applying the reliability test to determine whether the data collection tool basically shows the level of accuracy, stability and consistency of the tool in revealing certain symptoms of a group of individuals, even if carried out at different times (have now & Bougie, 2013: 228). Then to determine whether a variable is reliable or not, refer to the terms proposed by Kaplan, et al (2009: 125) that the reliability value of at least 0.70 ot received between (0.70 to 0.80).

Table 1 Recapitulation Test Result Validity Research Instruments Source: Results of the research data processing Based on the test results the validity of indicators for Organizational Structure variables can be indicated by the value of standardized loading, which illustrates the magnitude of the correlation values between each indicator with contruct. This indicates that all the items have questions correlation more than 0.5 so it can be stated that the whole question items Organizational Structure variables used are valid and can be used to measure the variables studied. An indicator is said to be valid if it has a value of standardized loading> 0.5. Purposes of applying the reliability test to determine whether the data collection tool basically shows the level of accuracy, stability and consistency of the tool in revealing certain symptoms of a group of individuals, even if carried out at different times (have now & Bougie, 2013: 228). Then to determine whether a variable is reliable or not, refer to the terms proposed by Kaplan, et al (2009: 125) that the reliability value of at least 0.70 ot received between (0.70 to 0.80).

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Reliability Test Results recapitulation Research Instruments
Reliability Test Results recapitulation Research Instruments
Measurement model variables Organizational Structure Based on the above data Loading Factor for manifest variables on the latent variables to show that the organizational structure of the manifest variables significant in shaping the organizational structure variables. Loading Factor values above the recommended value of which is equal to 0.60 so that the construct (manifest variables) for the organizational structure there that are eliminated from the model, or in other words the dimension of the span of control, centralization, formalization is matched properly used in describing the organizational structure variables in study author.
Measurement model variables Organizational Structure Based on the above data Loading Factor for manifest variables on the latent variables to show that the organizational structure of the manifest variables significant in shaping the organizational structure variables. Loading Factor values above the recommended value of which is equal to 0.60 so that the construct (manifest variables) for the organizational structure there that are eliminated from the model, or in other words the dimension of the span of control, centralization, formalization is matched properly used in describing the organizational structure variables in study author.
Model measurement indicator of variable dimensions of organizational structure Next can be seen in that ‘count loading factor values for the three variables manifest from latent variable organizational structure more than 1.96 so it can be stated that the manifest variables used in measuring the variables meaningful organizational structure. To determine whether path coefisien to the organizational structure is the significance or not (there is influence between the organizational structure of the quality of accounting information system), it can be seen from Pr result > | t |, if the value is less than the level of errors alpha (a typically 5%) then reject Ho means that there is influence that significance between the variables of the organizational structure of the variable quality of the organization's information systems.
Model measurement indicator of variable dimensions of organizational structure Next can be seen in that ‘count loading factor values for the three variables manifest from latent variable organizational structure more than 1.96 so it can be stated that the manifest variables used in measuring the variables meaningful organizational structure. To determine whether path coefisien to the organizational structure is the significance or not (there is influence between the organizational structure of the quality of accounting information system), it can be seen from Pr result > | t |, if the value is less than the level of errors alpha (a typically 5%) then reject Ho means that there is influence that significance between the variables of the organizational structure of the variable quality of the organization's information systems.
Significance test the effect of the organizational structure and of the quality of accounting information system Organizational structure, hypothesized influence on the quality of accounting information systems. The results of significance test of these hypotheses through statistical hypothesis: Y (KSIA) = 0.281081645861465 * X1 (SO). Based on the results of hypothesis testing showed that the organizational structure of the variable relationship with the quality of accounting information system is reflected in the value of 0.281 and the value Pr> | t | = 0.001 which value is smaller than the error level alpha (a typically 5%) then reject Ho means that there is influence that significance between the variables of the organizational structure of the variable quality of accounting information systems. These test results prove that the organizational structure affects the quality of accounting information systems.
Significance test the effect of the organizational structure and of the quality of accounting information system Organizational structure, hypothesized influence on the quality of accounting information systems. The results of significance test of these hypotheses through statistical hypothesis: Y (KSIA) = 0.281081645861465 * X1 (SO). Based on the results of hypothesis testing showed that the organizational structure of the variable relationship with the quality of accounting information system is reflected in the value of 0.281 and the value Pr> | t | = 0.001 which value is smaller than the error level alpha (a typically 5%) then reject Ho means that there is influence that significance between the variables of the organizational structure of the variable quality of accounting information systems. These test results prove that the organizational structure affects the quality of accounting information systems.
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