Chap. 12 Flashcards
Observational study
study based on data in which no manipulation of factors has been employed
Retrospective study
an observational study in which subjects are selected and their previous behaviors or conditions are determined. need not to be based on random sampling and are usually an estimate of differences between groups and associations
Prospective study
an observational study in which subjects are followed to observe future outcomes. focus on estimating differences among groups that might appear over the course of the study
What makes something an experiment?
if treatments are deliberately being applied to subjects
Experiment
manipulates factor levels to create treatments, randomly assigns subjects to those treatment levels, and compares the responses of subject groups across level treatments
Random assignment
an experiment must assign experimental units to treatment groups at random in order to be valid
Factor
variable whose levels are manipulated by the experiment, differences that factor levels may have on the response variable is what experiments discover (explanatory variable - how much sleep a third grader is or isn’t getting)
Response variable
variable whose values are compared across different treatments, large response differences can be attributed to the effect of differences in treatment level
Experimental units
individuals on whom an experiment is performed, usually called subjects or participants when they are human
Level
specific values that the experimenter chooses for a factor are called the levels of the factor ( a third grader gets either 4,6, 8 hours of sleep)
Treatment
process, intervention, or other controlled circumstance applied to randomly assigned experimental units, different levels of a single factor or are made up of combinations of levels of two or more factors
1st Principal of design - control
aspects of the experiment that we know may have an effect on the response, but that aren’t the factors being studied
2nd Principal of design - randomize
subjects to treatment to even out the effects that we cannot control
3rd Principal of design - replicate
over as many subjects as possible - results for a single subject are just anecdotes. If the sample size is not representative, you have to repeat the experiment on a different group of subjects from a different part of the population
4th Principal of design - blocking
to reduce the effects of identifiable attributes of the subjects that may affect their responses but can not be controlled
Completely randomized design
all experimental units have an equal chance of receiving any treatment
Statistically significant
when an observed difference is too large to believe it could have happened by chance
Control group
experimental units assigned to a baseline treatment level, usually that’s either null or placebo - provide a basis of comparison
Blinding
any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
Single-blind
when either those who can influence results or those who can evaluate the results is blinded
Double-blind
when both those who can influence and those who can evaluate results are blinded
Placebo
treatment known to have no effect, administered to one group so that all groups experience the same conditions because many response to a placebo we can observe weather a treatments affects is not simply due to placebo
Placebo effect
tendency of many human subjects to show a response even when administering a placebo
Blocking
when subgroups of experimental units differ in ways that may affect their responses to treatments, it is a good idea to gather them into blocks to isolate variability attributable to the differences between the blocks so that we can see the differences caused by the treatments more easily
Randomized block design
subjects are randomly assigned to treatments only within blocks
Matching
observational study where subjects who are similar in ways not under study may be matched and then compared with each other on the variables of interest which reduces unwanted variation
Confounding
when the levels of one factor are associated with the levels of another factor in such a way that their effects cannot be separated