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Observational Study
The researcher merely observes what is happening or what has happened in the past and tries to draw conclusions based on these observations
Experimental Study
The researcher manipulates one of the variables and tries to determine how the manipulation influences other variables. The subjects and treatments are assigned randomly. When the subjects cannot be assigned randomly, it is called quasi-experimental
Independent Variable
The variable being manipulated by the researcher (explanatory variable) (input)
Dependent Variable
The variable that results from the manipulation (outcome variable) (output)
Treatment Group
In an experimental study, the group for which the independent variable receives manipulation is called the treatment group
Control Group
In an experimental study, the group for which the independent variable is not manipulated is called the control group
Confounding Variable
A confounding variable is one that influences the dependent or outcome variable but was not separated from the independent variable
Ambiguous Averages
Several values including the value that occurs most often, the middle value of an ordered list, the arithmetic average, or the midrange, could be reported as the average or typical value
Detached Statistics
A detached statistic is one in which no comparison is made
Implied Connections
Use of words such as “may help” suggest a connection between variables that does not actually exist
Misleading Graphs
Inappropriate graphs can misrepresent data and lead to false conclusions
Faulty Survey Questions
How questions are phrased in a way that influences the way other people answer them
Changing the Subject
Using different values to represent the same data