FNR 201 Lecture Notes - Lecture 5: Predicable, Repeated Measures Design, Selectin
5 Mar 2018
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Generalizability: not every study meant to be generalizable, never use the lack of generalizability as a limitation (unless generalizability is your goal) What is an experiment: study that seeks to determine a cause-and-effect relationship (causal relationship) btw variables: Why an experiment: allows us to determine/infer causality, other designs suggest assoc. btw two variables, provides evidence for clear interpretations, what do you need, quantitative dependent variables, control group/treatment, need to have a comparator. Id facts that may influence the relationship btw x (independent) and y (dependent) Key elements of experimental design: dependent variable effect in the cause-and-effect relationship. Independent all variables considered/manipulated can influence dependent variable: treatment, control, confounding, random, manipulation and control, treatment levels various levels of treatment are usually id and studied, co-variants can also impact outcome. Internal validity rule variable assumed to be casual must be most plausible cause: other competing variables should be ruled out as cause.
