4.1. Diagnosis of Ordinary Least Square (OLS) Assumptions
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1.
Assessment of Normality
Table 2 below shows the Shapiro-Wilk test of normality conducted for the variables internal audit Effectiveness, Top Management Support, Internal Audit Independence, Organizational Setting, and Audit Committee. The results indicate that the data for all variables are likely to follow a normal distribution, as the p-values obtained from the test are greater than the conventional significance level of 0.05.
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2.
Assessment of Heteroskedasticity
Table 3 below shows the Breusch-Pagan test for heteroskedasticity conducted to examine whether the variance of errors in the Internal Audit Effectiveness variable is dependent on the values of the independent variables. The test resulted in a chi-square statistic of 0.140 with 1 degree of freedom and a p-value of 0.0.708. Since the p-value is greater than the conventional significance level of 0.05, we fail to reject the null hypothesis, indicating that there is no significant evidence of heteroskedasticity in the Internal Audit Effectiveness variable. This suggests that the variance of errors in Internal Audit Effectiveness does not vary systematically with the values of the independent variables included in the model. Therefore, the assumption of constant variance, known as homoskedasticity, is reasonable for the Internal Audit Effectiveness variable.
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3.
Assessment of Multicollinearity
The test for multicollinearity in
Table 4 below examined the correlation among independent variables in predicting Internal Audit Effectiveness. The results indicate that there is no significant multicollinearity issue among the variables as the tolerance values are above 0.1 and the VIF values are below 10. This suggests that the independent variables, including Top Management Support, Internal Audit Independence, Organizational Setting, Audit Committee, Internal Auditors Competency, and Audit Quality, are relatively independent of each other when predicting Internal Audit Effectiveness.
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4.
Assessment of Autocorrelation
Table 5 presents the results of the test for autocorrelation, specifically displaying the Durbin-Watson statistic. The Durbin-Watson statistic is used to detect the presence of autocorrelation, also known as serial correlation, refers to the correlation of a variable with its own lagged values over time. It is a concern primarily in time series analysis, where observations are collected over consecutive time periods. In cross-sectional data, where observations are collected at a single point in time, the assumption of independence between observations is typically more straightforward to meet. Autocorrelation is not a typical concern in cross-sectional data analysis.
In the given table, the Durbin-Watson statistic is reported as 2.119. This value is close to 2, suggesting that there is no significant autocorrelation present in the model. It implies that the error terms in the regression model are not systematically correlated across observations.
4.3. Regression Results
The Model Summary table in
Table 7 below provides the coefficient of determination (R Square) is 0.751, indicating that 75.1% of the variation in the dependent variable (internal audit effectiveness) can be explained by the independent variables included in the model. This suggests that the model has a reasonably good fit, and the selected independent variables collectively have a strong influence on internal audit effectiveness.
Table 8 below shows the ANOVA gives a highly significant result (F = 59.983, Sig. <.001), thereby indicating that Organizational Setting, Audit Quality, Internal Audit Independence, Audit Committee, Top Management Support , Internal auditors Competency under the study can significantly influence Internal Audit Effectiveness.
The multiple linear regression result that are obtained by regressing the internal audit effectiveness in adding value of top management support, internal audit independence, organizational setting, audit committee, internal auditors competency, and audit quality were analyze and reported. Finally, the hypothesis tests were undertaken based on the proposed hypothesis and the regression output results.The multiple linear regression model for internal audit effectiveness based on the coefficients in
Table 9 below can be expressed as follows: internal audit effectiveness = -0.632+ 0.186 (Top Management Support) + 0.295 (internal audit Independence) - 0.331 (Organizational Setting) + 0.362 (Audit Committee) + 0.473(Internal Auditors Competency) + 0.209(Audit Quality) + ε
4.3.1. Top Management and Internal Audit Effectiveness
The first objective of the study is to investigate the impact of support from top management on achieving internal audit effectiveness. Based on the multiple linear regression results presented in
Table 9 above, the findings regarding the objective of investigating the impact of support from top management on achieving internal audit effectiveness can be discussed. In the regression results, the variable Top Management Support has a coefficient of 0.186 with a standard error of 0.092. The standardized coefficient (Beta) is 0.157. The t-value for this variable is 2.030, indicating statistical significance at the p < 0.05 level.
The positive coefficient for top management support suggests a positive relationship between top management support and internal audit effectiveness. The effect size is with each unit increase in top management support associated with a 0.186 unit increase in internal audit effectiveness. The standardized coefficient (Beta) indicates that top management support accounts for approximately 15.7% of the variance in internal audit effectiveness.
These findings align with previous empirical evidence supporting the positive impact of top management support on internal audit effectiveness. Studies such as Iyer et al. (2018) and Brown et al. (2019) have reported similar positive relationships between top management support and internal audit effectiveness. In general, the regression results indicate a statistically significant positive relationship between top management support and internal audit effectiveness and it is consistent with previous empirical studies.
4.3.2. Independence of Internal Auditors on the Effectiveness Of Internal Audit
The second objective of this study is to examine the impact of the independence of internal auditors on the effectiveness of internal audit.
Table 9 shows the regression results of the variable internal audit independence has an unstandardized coefficient of 0.295 with a standard error of 0.111. The associated t-value is 2.650, indicating that the coefficient is statistically significant at the 0.05 level (p = 0.009).
The positive coefficient indicates a positive relationship between IA independence and internal audit effectiveness. Specifically, an increase in IA independence by one unit is associated with a 0.295 unit increase in internal audit effectiveness. The standardized coefficient (Beta) of 0.199 further supports this relationship, suggesting that IA independence explains approximately 19.9% of the variance in internal audit effectiveness.
The findings align with previous empirical evidence, which consistently supports the positive association between independence and internal audit effectiveness. For instance, studies conducted by Massawe (2020) and Pham & Nguyen (2021) have found that perceived and actual independence of internal auditors contribute to greater effectiveness in audit activities. Additionally, Gramling & Schneider (2018) reported that greater internal audit independence leads to improved detection and prevention of financial errors in publicly traded companies. Moreover, research conducted in the context of governmental organizations by Yemataw (2022) and Oladejo (2021) has shown that perceived independence positively influences compliance with laws and regulations, as well as the quality of audit reports. These findings highlight the importance of independence in ensuring the integrity and effectiveness of internal audit processes, both in the private and public sectors.
In conclusion, the regression results and previous empirical evidence consistently demonstrate that independence is a significant factor in influencing the effectiveness of internal audit. IA independence positively contributes to the objective and unbiased assessment of controls and risks, enhancing the overall effectiveness of the internal audit function. Recognizing and promoting independence within the internal audit profession is vital for ensuring the integrity and value of internal audit activities.
4.3.3. Organizational Setting on the Effectiveness of Internal Audit
The third objective of this study aims to examine the effect of organizational setting on the effectiveness of internal audit.
Table 9 indicates the regression results of Organizational setting has an unstandardized coefficient is -0.331 with a standard error of 0.098. The t-value is -3.374, and the associated p-value is 0.001.
The coefficient for organizational setting indicates a positive relationship with internal audit effectiveness, specifically within the context of Lemikura subcity public sector. However, the p-value associated with this coefficient is 0.001, which is below the conventional significance level of 0.05. This implies that the relationship between organizational setting and internal audit effectiveness is statistically significant in the study. While the coefficient suggests a negative direction of the relationship with statistical significance indicates that when organizational setting increase in by one unit IA effectiveness decrease by 0.331 units keeping other things constant. In other words, the data does not provide strong evidence to conclude that organizational setting has a significant impact on internal audit effectiveness in this particular analysis.
The finding support by previous empirical evidences, for instance, studies conducted by Azzali, &Mazza(2018) and Yemataw(2022) argued that higher IA effectiveness in companies attributed to their greater flexibility and less bureaucratic nature. The studies found that public sector internal audit functions faced greater challenges in achieving effectiveness due to bureaucratic structures and political influences.In summary, the finding results show that the coefficient for "Organizational Setting" suggests a positive and a statistically significance relationship with internal audit effectiveness.
4.3.4. Audit Committee on the Effectiveness of Internal Audit
To show the impact of the presence of an audit committee on the effectiveness of internal audit is the fourth objective of the study.The coefficient is 0.362 with a standard error of 0.101. The standardized coefficient (Beta) is 0.276, indicating a statistically significant positive relationship with the Mean of IA Effectiveness (p = 0.000).
Table 9 shows the findings of an audit committee has a statistically significant positive impact on the effectiveness of internal audit. The coefficient suggests that for every one-unit increase in the audit committee, there is an estimated increase of 0.362 units in the IA Effectiveness. The standardized coefficient (Beta) of 0.276 further confirms this positive relationship (p = 0.000).
The findings align with previous research examining the impact of the audit committee on internal audit effectiveness. Brown & Fanning Brown (2019) and Iyer et al. (2018) explored the impact of audit committee independence on internal audit effectiveness and found a significant positive relationship. Similarly, Mieseigha & Adeyemi (2021) and Yahaya & Okoroigwe (2022) emphasized the importance of an active and independent audit committee in family-controlled firms, as it enhances the effectiveness of the internal audit function through appropriate oversight and support. This aligns with the current study's results, suggesting that the presence of an audit committee, which is typically expected to be independent, positively influences Internal Audit Effectiveness.
In general, the findings of the current study are consistent with previous research, indicating that a strong, independent, and effective audit committee positively influences the effectiveness of internal audit. The support provided by the previous studies adds credibility to the current study's findings, reinforcing the importance of an active and supportive audit committee in enhancing IA Effectiveness.
4.3.5. Competency of Internal Auditor on the Effectiveness of Internal Audit
The fifth objective of the study was to examine the effect of competency of internal auditor on the effectiveness of internal audit. As shown in
Table 9 the regression result of Internal Auditors Competency has the coefficient is 0.473 with a standard error of 0.130. The standardized coefficient (Beta) is 0.346, indicating a statistically significant positive relationship with the IA Effectiveness (p = 0.000).
The regression results indicate that the coefficient for the variable competency of internal auditor is indicating a positive relationship with internal audit effectiveness. The coefficient for the variable indicating that a 1 unit increase in the competency of internal auditors leads to a 0.473 unit increase in internal audit effectiveness is based on the findings of the study. This coefficient is statistically significant (p-value: <0.05), suggesting that the competency of internal auditors has a significant impact on internal audit effectiveness.
Yemataw's (2022) study supports the notion that the presence of adequate and competent internal audit staff is positively related to internal audit effectiveness. Competent internal auditors possess the necessary skills and expertise to contribute significantly to the effectiveness of internal audit. Similarly, Kassie (2021) and George et al. (2015) also found evidence supporting a positive relationship between the competency of internal auditors and internal audit effectiveness.
Overall, the empirical evidence from the reviewed studies consistently supports this study finding that the competency of internal auditors plays a crucial role in determining the effectiveness of internal audit. When internal auditors possess the necessary knowledge, skills, and abilities, they are better equipped to perform their duties effectively, resulting in improved internal audit outcomes.Investing in the training, development, and recruitment of competent internal auditors becomes essential to enhance the effectiveness of internal audit processes within organizations. By ensuring that internal auditors have the necessary competencies and staying up-to-date with emerging trends and best practices, organizations can strengthen their internal audit function and its ability to provide valuable insights and assurance.
Generally, the regression results indicate a statistically significant and positive relationship between the competency of internal auditors and internal audit effectiveness. The reviewed empirical studies consistently support this relationship, highlighting the importance of competent internal auditors in improving the effectiveness of internal audit. The organizations should prioritize investments in developing and maintaining the competencies of their internal auditors to enhance the overall effectiveness of their internal audit function.