Descriptive Statistics Analyze Method

RESEARCH FINDINGS AND ANALYSIS A. Descriptive of Data

1. Descriptive Statistics

Before entering data analysis, first we have to know the object and sample of the study, the object of the study is Control Self-Assessment, being related to the audit plan of external auditor, that’s why researcher decided to have external auditor as a research sample. The amount of external auditor in Jakarta based on IAI 2006 directory book is 687, with tolerable error for 15, sample that are used in this research is 41 external auditors, for precaution researcher take 50 sample. Table 4.1 Respondents of the study No Position Respondent Percentage 1 Manager 3 6 2 Partner 1 2 3 Supervisor 2 4 4 Senior 8 16 5 Expertise 2 4 6 Junior 34 68 50 100 Total Table 4.1 explains about respondent, classified by their position as an external auditor. There are only three managers that are willing to respond, one partner, two supervisor, eight senior, two expertise staff and thirty four junior auditors. From table we can see that there is a small response rate from middle commonly to response, these kind of respondent is still relevant considering that junior auditor often sent to do the field work in client to collect audit data, thereby junior interactively communicate with internal auditor, with a strict supervision. Table 4.2 Auditor Experience No Auditor Experience Respondent Percentage 1 4 years audit experience 35 70 2 4 years audit experience 15 30 50 100 Total Table 4.2 explains about auditor or respondents experience in audit. Most of the respondent or thirty five auditors had less than four years audit experience. This was enough to fulfill the relevant criteria to become research object related to Control Self-Assessment, then there are fifteen respondents or auditor who had more than four years experience in audit, these kind of respondent is the most relevant respondent, researcher categorized them as middle up auditor. Table 4.3 Descriptive Variables 50 47,00 82,00 3187,00 63,7400 6,73041 ,537 ,662 50 24,00 52,00 1684,00 33,6800 6,57900 ,031 ,662 50 audt_percep csa_implement Valid N listwise Statistic Statistic Statistic Statistic Statistic Statistic Statistic Std. Error N Minimum Maximu Sum Mean Std. Kurtosis Table 4.3 explains about respondent opinion valuescale when filling the questionnaires. From the table we can see that total sample is 50, and minimum and CSA is 82 and 52. Sum of audit plan and CSA is 3187 and 1684. Average value or mean of auditor perception is 63,74 or 77, this means most of the auditors assumed CSA is useful for audit primarly in audit planning, then for the implementation of CSA in companies, respondent gave an average value for 33,68 or 63 this means most of the auditors assumed CSA implementation in reality is not fully adopt and implement.

2. Data Quality and Normality test