WebbHenson and Roberts5 pointed out that a correlation matrix is most popular among investigators. Tabachnick and Fidell10 recommended inspecting the correlation matrix (often termed Factorability of R) for correlation coefficients over 0.30. Hair et al. (1995) categorised these loadings using another rule of thumb as ±0.30=minimal, WebbStatistics Rules of Thumb A compendium of statistical rules of thumb for reference. Correlation Correlation is the measure of the direction and strength of a linear relationship between two quantitative variables. r is the correlation coefficient and is bounded between -1 and 1. r = 0 = no linear relationship
A Guide to Multicollinearity & VIF in Regression - Statology
WebbThe general rule of thumb is that VIFs exceeding 4 warrant further investigation, while VIFs exceeding 10 are signs of serious multicollinearity requiring correction. Steps to calculate VIF: Regress the k t h predictor on rest of the predictors in the model. Compute the R k 2 V I F = 1 1 − R k 2 = 1 T o l e r a n c e Webbthe general rule of thumb is no less than 50 partici-pants for a correlation or regression with the number in-creasing with larger numbers of independent variables (IVs). Green (1991) provides a comprehensive overview of the procedures used to determine regression sample sizes. He suggests N > 50 + 8 m (where m is the num- the vault studios belfast
Cohen
WebbA general rule of thumb is that if the absolute value of the standardized loading is greater than 0.3, the variable is relevant for the particular factor. Another rule-of-thumb terms loadings as "weak" if less than 0.4, "strong" if more than 0.6, and otherwise as "moderate." These rules are arbitrary, and do not constitute a test of significance. WebbHigh Correlation Coefficients Pairwise correlations among independent variables might be high (in absolute value). Rule of thumb: If the correlation > 0.8 then severe … http://core.ecu.edu/psyc/wuenschk/docs30/EffectSizeConventions.pdf the vault storage rockwall