Commonlyidentified as the effects due to variables representing experimentalmanipulations (i.e., differences in outcomes under different experimentalconditions) or to variables representing stimulus, participant or higher-levelsampling unit attributes (i.e., differences in outcomes correlated with differentvalues of some attributes). In practice, the distinction between random effectsand fixed effects is difficult to motivate consistently (Gelman & Hill,2007).<\/p>\n
Gelman, A.,& Hill, J. (2007). Data analysis usingregression and multilevel\/hierarchical models<\/span>. New York, NY: CambridgeUniversity Press. <\/p>\n See Crossed random effects, Random effects<\/p>\n <\/body><\/html><\/p>\n","protected":false},"excerpt":{"rendered":" Commonlyidentified as the effects due to variables representing experimentalmanipulations (i.e., differences in outcomes under different experimentalconditions) or to variables representing stimulus, participant or higher-levelsampling unit attributes (i.e., differences in outcomes correlated with differentvalues of some attributes). In practice, the distinction between random effectsand fixed effects is difficult to motivate consistently (Gelman & Hill,2007). Gelman, A.,& … <\/p>\n