LING 333 Chapter Notes - Chapter 7.2: Random Assignment, Latin Square, Statistical Dispersion
Document Summary
Once the dependent and independent variables have been established, itisstandardtoaimtocontrolorotherwiseminimizetheeffectofoth erextraneous sources of variability in the data or in the population. In any given experiment, therearelikelytobeextraneous(orconfoundingornuisance)variabl esthataffect the results of the experiment but are not part of the research design. ^^ these can skew measurements and cause results to be invalid or unreliable. In simple random assignment, every participant has an equal chance of being assigned to every level of the independent variable. This is one way that researchers employing between- groups designs can address error variance, or. The statistical variability of scores caused by the in uence of variables other than your independent variables. One alternative to simple random assignment is to employ a block design. As mentioned earlier, the within-subjects design (also referred to as a repeated measures design) involves using the same participants for all levels of the independent variable. One potential limitation of the within-subjects design concerns order effects, also known as carryover effects.
