Experimental Data Flashcards
What is the definition for generalizability?
The extent to which study results can be applied to other situations or people outside of the experiment.
What is another term for generalizability?
External validity
What is internal validity?
Has to do with how accurate and true the study is to the population it studies. Also paired with causality which asks if a change in the independent variable is really causing a change in the dependent variable?
True or false:
Internal validity and external validity can be seen as working opposite each other.
True.
Internal validity is present when an experiment is tightly controlled and less generalized.
External validity is present when an experiment isn’t tightly controlled and more generalized.
What are some threats to external validity?
An artificial research environment, non representative sample, small sample group, and measurement effects
What are some threats to internal validity?
Confounding variables, selection bias, maturation, repeating testing, regression toward the mean
What does it mean when a study is “reliable”?
It means the measure/study is consistent and produces similar results every time it’s repeated.
Other words for reliable are replicability/reproducibility.
What does “correlation” describe?
It describes that there is or isn’t a relationship between variables.
Positive correlation means that when one variable goes up, the other also increases.
CORRELATION DOES NOT IMPLY CAUSATION. That is, the increasment in 1 variable directly causes the increasing of the 2nd variable.
The correlation coefficient is termed “r”. If r is close to zero such as 0.05, describe the relationship between variables X and Y.
Variables X and Y have no correlation to each other, that is they have no relationship.
The closer “r” is to 0, the weaker the relationship.
If r = + 1, relationship is (positive/negative).
If r = -1, relationship is (positive/negative).
- Positive
- Negative
The correlation coefficient ranges from values of __ to __.
-1 to +1
True or false:
A negative correlation coefficient means that variable aren’t related to each other at all.
True or false:
Both observational and experimental studies can prove causation.
False, observational studies can’t prove causation, there are often times many confounding variables.
What are confounding variables?
Uncontrolled variables that have an effect on the independent or dependent variable (results of experiment).
Differentiate between two types of experimental trials: randomized control trial and nonrandomized design trial.
Randomized control trial - individuals are randomly assorted into treatment & placebo groups
Nonrandomized design - individuals are non randomly assorted into treatment & placebo groups
Experimental trials are usually done for what purpose?
To determine efficacy of a certain treatment/intervention
What is the difference between a longitudinal vs. cross-sectional study?
Longitudinal - data is gathered for a longer period of time, often to asses risk factors or outcomes/change in variables over time
Cross-sectional - an observational study where data is gathered only at one point in time for a population; used to measure prevalence of a disease/trait at a given point
What are case studies (and their purpose)?
In-depth analysis and study which involve one or a few individuals who possess a trait/condition of interest