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Sample
A part of the population that we actually examine in order to gather information.
Population
The entire group of individuals that we want information about.
Census
An attempt to contact every individual in the entire population.
Observational study
Observes individuals and measures variables of interest but does not attempt to influence the responses.
Experiment
Deliberately imposes some kind of treatment on individuals in order to observe their responses.
Sampling Method
The process used to choose the sample from the population.
Voluntary Response Sampling
A sample consisting of people who choose themselves by responding to a general appeal; over represents those with strong
Convenience Sampling
A sampling method which chooses individuals that are easy to reach.
Bias
The design of a study is biased if it systematically favors certain outcomes.
SRS (Simple Random Sample)
A sample of size $n$ where every set of $n$ individuals has an equal chance to be the sample actually selected.
Systematic Random Sampling
Randomly picking the first item or subject
Probability Sample
Any method of sampling that utilizes some form of random selection.
Stratified Random Sample
First divide the population into similar groups (strata)
Cluster Sampling
Total population is divided into groups (clusters)
Multistage Sampling Design
Involves constructing clusters (stage 1) and then randomly selecting elements from within each selected cluster (stage 2 or more).
Response Bias
Can be caused by the behavior of the respondent or of the interviewer.
Undercoverage
Occurs when some groups in the population are left out of the process of choosing the sample.
Nonresponse
Occurs when an individual chosen for the sample cannot be contacted or refuses to cooperate.
Wording of Questions
The way questions are phrased
Sampling Frame
The actual set of units from which a sample has been drawn.
Causation
Indicates a relationship between two events where one event is affected by the other.
Lurking Variable
An unseen variable that creates an apparent association between two other variables (common response).
Confounding
Occurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other.
Experimental Units
The individuals on which the experiment is done.
Subjects
The term for experimental units when they are human beings.
Treatments
A specific experimental condition applied to the units.
Factors
The explanatory variables in an experiment.
Level
The value of each factor when studying the effects of several factors.
Control Group
A group that receives a placebo or no treatment
Placebo Effect
An effect that occurs when a dummy treatment (placebo) results in an expectation of a cure.
Principle of Experimental Design: Comparison
Use a design that compares two or more treatments.
Principle of Experimental Design: Randomization
The use of impersonal chance to assign subjects to treatments.
Principle of Experimental Design: Control
Controlling the effects of lurking variables on the response
Principle of Experimental Design: Replication
Repeating the experiment on many subjects to reduce chance variation in the results.
Statistically Significant
An observed effect too large to attribute plausibly to chance.
Completely Randomized Design
All the experimental units are allocated at random among all the treatments.
Double-blind
An experiment where neither the subject nor those interacting with them and measuring their responses know which treatment is being received.
Single-blind
An experiment where one party (the subject or the person measuring responses) knows the treatment but the other does not.
Block
A group of experimental units that are similar in some way that is expected to affect the response to the treatments.
Randomized Block Design
The random assignment of experimental units to treatments is carried out separately within each block.
Matched Pairs Design
A common form of blocking for comparing just two treatments