Picture of person typing on laptop with programming code visible on the laptop screen

World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

Explore

Using GPower software to determine the sample size from the pilot study

Alotaibi, Sultan Refa D and Roussinov, Dmitri (2016) Using GPower software to determine the sample size from the pilot study. In: The 9th Saudi Students Conference, 2016-02-13, University of Birmingham.

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

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