Therefore using the literature and thumb rule method and results of power analysis indicate that the total sample size needed for the study is around n = 750. Power analysis clearly indicates that to achieve, power of 0.80, a total sample size of n = 725 is needed for this study. Figure 1 gives the power curve for different values of power ranging from 0.5 to 0.95. Using these settings, power curve was extracted. For the measurement model each proposed latent construct has four indicators and the number of predictors is taken as 7. Effect size was kept at small range value of 0.02. Level of significance was kept at α = 0.05. The required power was set at 1- β = 0.80. GPower software application is used to perform a priori power analysis for the study taking multiple regression analysis for the validation of the measurement model. This power analysis is conducted to assess the minimum sample size requirement. In this poster, we will focus on power analysis to get suitable sample size for our research. There are two way to determine the sample size which are from literature review and from the pilot study. Therefore, 800 respondents are taken as the optimal sample size for the investigation.Ībstract = "Recently, the estimation of the sample size is very important topic for the researchers, so it is an indispensable process for obtaining good results.
Recently, the estimation of the sample size is very important topic for the researchers, so it is an indispensable process for obtaining good results.
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