Ch 9; Producing Data: Experiments Flashcards
Observational Study
Observes individuals & measures variables of interest but does not attempt to manipulate variables
Experiment
Deliberately imposes some treatment/variable on individuals to observe their responses. (Study whether treatment causes change in response)
Confounding Variables
2 Variables (explanatory/lurking) are confounded when their effects on a response variable can’t be distinguished from each other.
Explanatory Variable
When a variable is codependent on another
Lurking Variable
Unknown variable that has a significant effect on the variables of interest.
Subjects
Individuals studied in experiments
Factors
Explanatory variables
Treatment
Any specific experimental condition applied to subjects
What Factors could Make A Experiment Not Work
Uncontrolled experiments that experience confounding variables.
Randomized Comparative Experiment
An experiment that uses both comparison of 2+ treatments & random assignment of subjects to treatments
Control Group
Group that receives a “standard” treatment (placebo) & provides a basis of comparison
Completely Randomized Design
All subjects are allocated at random among all treatments
What Reduces Chance Variation in Experiments
Replication or large number of subjects
List the 3 Principles of Experimental Design
1) Control; Restrict effects of lurking variables on the response, by comparing 2+ treatments
2) Randomization; Use chance to assign subjects to treatment
3) Replication; Use enough subjects in each group to reduce chance variation in results.
Statistical Significance
An observed effect so large it would rarely occur by chance
Factors that Make A Study Better (2)
Placebo, Blind (Single/Double)
Placebo Effect
Favorable response even though not receiving treatment (Generally given to control group)
Single Blind
The subjects don’t know if they received placebo/treatment
Levels
A particular value/category of factor
Double Blind
Neither subjects or people who interact with subjects know which treatment each subject is receiving.
Matched Pairs Design
Compares just 2 treatments & chooses pairs of subjects that are as closely matched as possible. (Randomize within pair)
Block Design
The random assignment of individuals to treatments is carried out separately within each block
Block
A group of individuals that are known before experiment to be similar in some way that is expected to affect response to treatments (gender).