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Multiple Regression Hypotheses Testing results

Table 3 Multiple Regression Hypotheses Testing results

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Cronbach s Alpha Reliability Assessment Results Multiple Regression Assumptions Normality distribution “shows how the variables’ values are symmetrically distributed around its mean were the values near the mean are more frequent in occurrence than the values far from the mean. It can be checked using the graphical method that visualizes the distributions of variables’ values and compared it to the standard theoretical one” (Baghban et al., 2013). The distribution of this research variable’s values shown in Figure 2. indicates that it is normally distributed. “Reliability can be assessed using the Cronbach’s alpha test, it provides a provide a measure of the internal consistency of a scale. Internal consistency describes the extent to which all the items in a test measure the same concept or construct.” (Tavakol & Dennick, 2011). “Cronbach’s alpha coefficient is between 0 and 1, the higher the score, the more reliable the scale is. 0.7 or more is an acceptable result for reliability” (Santos & Reynaldo, 1999).
Cronbach s Alpha Reliability Assessment Results Multiple Regression Assumptions Normality distribution “shows how the variables’ values are symmetrically distributed around its mean were the values near the mean are more frequent in occurrence than the values far from the mean. It can be checked using the graphical method that visualizes the distributions of variables’ values and compared it to the standard theoretical one” (Baghban et al., 2013). The distribution of this research variable’s values shown in Figure 2. indicates that it is normally distributed. “Reliability can be assessed using the Cronbach’s alpha test, it provides a provide a measure of the internal consistency of a scale. Internal consistency describes the extent to which all the items in a test measure the same concept or construct.” (Tavakol & Dennick, 2011). “Cronbach’s alpha coefficient is between 0 and 1, the higher the score, the more reliable the scale is. 0.7 or more is an acceptable result for reliability” (Santos & Reynaldo, 1999).
“In normality assessment, it is important to confirm that data distribution does not have a Skew or Kurtosis shape, such distributions reflect a none-normality data distribution. A data in a Skew distribution is not asymmetrical around its mean and has an SI calculated value over 3 and less than -3. A data in a Kurtosis distribution has a higher peak (heavy-tailed) or have a lower peak (light-tailed) comparing to the normal distribution, and has a KI calculated over 8 and less than -8” (Kline, 2011). The calculation of Skew and Kurtosis is shown in Appendix | indicates that there is no Skew or Kurtosis for this research’s data distribution and it supports the related normality distribution graph.
“In normality assessment, it is important to confirm that data distribution does not have a Skew or Kurtosis shape, such distributions reflect a none-normality data distribution. A data in a Skew distribution is not asymmetrical around its mean and has an SI calculated value over 3 and less than -3. A data in a Kurtosis distribution has a higher peak (heavy-tailed) or have a lower peak (light-tailed) comparing to the normal distribution, and has a KI calculated over 8 and less than -8” (Kline, 2011). The calculation of Skew and Kurtosis is shown in Appendix | indicates that there is no Skew or Kurtosis for this research’s data distribution and it supports the related normality distribution graph.
The results indicate that organizations operating in Yemen are interested in the perceived uniqueness of the branded audit firms. Comparing to the audit firms’ brand credibility and brand trust, audit firms’ perceived uniqueness 1s the only variable that will lead the Yemeni organizations to be willing to pay a price premium for branded audit services.
The results indicate that organizations operating in Yemen are interested in the perceived uniqueness of the branded audit firms. Comparing to the audit firms’ brand credibility and brand trust, audit firms’ perceived uniqueness 1s the only variable that will lead the Yemeni organizations to be willing to pay a price premium for branded audit services.
Research’s Descriptive Statistic
Research’s Descriptive Statistic
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