![gpower software gpower software](https://windows-cdn.softpedia.com/screenshots/G-Power_1.png)
#GPOWER SOFTWARE INSTALL#
10am – 12pm: learning and practice session 1 – attendees install the GPower software onto their laptop computers basic concepts of statistical power analysis will be introduced a first touch with GPower apply GPower to perform power analysis for five different statistical models.
#GPOWER SOFTWARE REGISTRATION#
9:30am – 10am: registration and morning tea.The actual teaching and learning time is five hours divided into three sessions. We are flexible in running this one-day workshop multiple times and on different campus as long as the demand requires. The upper limit of the number of attendees for each workshop is 10 for a better learning and practice result. This is a fact-to-face workshop and we will run the workshop as sketched above with minimum two confirmed attendees. It is a fee-based workshop for the purpose that anyone who would register and pay for the workshop is most likely to commit him/her time and effort for the expected learning outcomes. Quantitative Consulting Unit (QCU) runs this one-day hands-on practice workshop for learning power analysis using GPower 3.1 from time to time based on the request from the researchers (HDR students and staff members) at CSU.
![gpower software gpower software](https://mac-cdn.softpedia.com/screenshots/G-Power_2.jpg)
It offers a wide variety of calculations related to power analysis along with graphics and protocol statement outputs. G*Power provides an effective and very user-friendly solution for promoting the application of power analysis as part of the routine statistical data analysis procedure. Power analysis is often intentionally or unintentionally ignored because it involves several statistical concepts which may not be necessarily straight forward to understand and the power analysis formula is very model specific. The main purpose underlying statistical power analysis is to help the researchers to determine the smallest sample size that is suitable to detect the effect of a given test at the desired level of significance.ĭeveloped at the Institute for Experimental Psychology in Dusseldorf Germany, the free software G*Power was designed as a general stand-alone power analysis program for statistical tests commonly used in disciplines such as agriculture, animal studies, health science, social and behavioral research, etc.