EduG
EduG is a program based on the Analysis of Variance (ANOVA) and Generalizability Theory (G-Theory), and designed to carry out generalizability analysis.
It uses the results of analysis of variance – in the form of estimated variance components – to compute generalizability parameters. More precisely, it enables you to identify which sources of variance have the greatest influence on your measurement observations, and, through What if? analysis, allows you to see the potential effect of changing your sampling design to reduce the greatest contributions to measurement error. In other words, EduG calculates the reliability of your current measurement design, and helps you to see how to change your design to achieve a higher degree of reliability in future measurements.
Like any statistical program, EduG computes and presents results, but it is up to you to interpret the results. Prior familiarity with the analysis of variance and with Generalizability Theory is, therefore, essential for sensible professional use of this tool
It uses the results of analysis of variance – in the form of estimated variance components – to compute generalizability parameters. More precisely, it enables you to identify which sources of variance have the greatest influence on your measurement observations, and, through What if? analysis, allows you to see the potential effect of changing your sampling design to reduce the greatest contributions to measurement error. In other words, EduG calculates the reliability of your current measurement design, and helps you to see how to change your design to achieve a higher degree of reliability in future measurements.
Like any statistical program, EduG computes and presents results, but it is up to you to interpret the results. Prior familiarity with the analysis of variance and with Generalizability Theory is, therefore, essential for sensible professional use of this tool
