As others have mentioned, the term "effect" might refer either of the following:
Size of change (in the case of experiments, where we might infer a causal relationship, such as *If a student studies new content using strategy x for at least x amount of time, he/se will recall x% more material than a student who used rote repetition for the same amount of time*). Statistical procedures exist for estimating these effect sizes (e.g., Cohen's *d*). or Strength of relationship - in the case of correlational findings, where we might argue that we can explain X% of the variation in scores on some variable based on its relation with (or an individual or group's score on) some predictor variable (or variables, in the case of a multivariate model). This can also be estimated statistically, using r-squared (percent of variablity explained). _____________________________________________ Claudia J. Stanny, Ph.D. Director Center for University Teaching, Learning, and Assessment BLDG 53 Suite 201 University of West Florida Pensacola, FL 32514 Phone: (850) 857-6355 (direct) or 473-7435 (CUTLA) [email protected] CUTLA Web Site: http://uwf.edu/offices/cutla/ <http://uwf.edu/cutla/> --- You are currently subscribed to tips as: [email protected]. To unsubscribe click here: http://fsulist.frostburg.edu/u?id=13090.68da6e6e5325aa33287ff385b70df5d5&n=T&l=tips&o=51057 or send a blank email to leave-51057-13090.68da6e6e5325aa33287ff385b70df...@fsulist.frostburg.edu
