the treatment , is the explanatory variable that is varied so that the effect on the
Experimental factor
response variable can be measured
treatment group the group that receives the (experimental group) treatment
serves as a baseline or standard treatment that can be used to compare it to other
control group
treatments
is an inert treatment that looks just like the actual treatment. the placebo is given to the
placebo
control group
a technique where the subjects do not know whether they are receiving a treatment or
blinding
a placebo
occurs when neither the participant in the experiment nor the person administering the
double blinding
treatments know if the participant in the experiment
Attempts to explain/influence changes in another variable
Explanatory variable different values of the variable are called treatments
Explanatory variable is also the independent variable
Affected variable, what is changed by altering the explanatory variables
response variable
the response is also call the dependent variable
is a variable that could potentially affect the response variable, but is not included in
lurking variable
the study as an explanatory variable.
quantitative continuous data are all data which are the result of measuring
Discrete quantitative data numerical measurement that has an exact value; "countable" measurement
data is qualitative
nominal data is not ordered
examples color, names labels, etc.
data can be ordered
ordinal data can not be used in calculations
examples top three winners in a horse race
data has a definite order
data can be measured
data does not have a starting point
intervals
zero does not mean anything
no ratio comparison
examples 80 degrees is not 4 times as hot as 20 degrees
like interval but
has a starting point 0 is actually 0
ratios
ratio between the difference can be calculated
example money score on an exam
names or categorizes data
nominal scale
gender handedness, or religion
names or categorizes data and the order is meaningful
ordinal scale
military rank or class rank
data can be arranged in some order. the difference between any two data values is
interval scale meaningful, however, there is no natural zero starting point (where none of the quantity
is present)
contains the properties of the interval scale with the addition of a natural zero indicates
ratio scale that non of the quantity is present
amount of money of kelvin temperature
Experimental factor
response variable can be measured
treatment group the group that receives the (experimental group) treatment
serves as a baseline or standard treatment that can be used to compare it to other
control group
treatments
is an inert treatment that looks just like the actual treatment. the placebo is given to the
placebo
control group
a technique where the subjects do not know whether they are receiving a treatment or
blinding
a placebo
occurs when neither the participant in the experiment nor the person administering the
double blinding
treatments know if the participant in the experiment
Attempts to explain/influence changes in another variable
Explanatory variable different values of the variable are called treatments
Explanatory variable is also the independent variable
Affected variable, what is changed by altering the explanatory variables
response variable
the response is also call the dependent variable
is a variable that could potentially affect the response variable, but is not included in
lurking variable
the study as an explanatory variable.
quantitative continuous data are all data which are the result of measuring
Discrete quantitative data numerical measurement that has an exact value; "countable" measurement
data is qualitative
nominal data is not ordered
examples color, names labels, etc.
data can be ordered
ordinal data can not be used in calculations
examples top three winners in a horse race
data has a definite order
data can be measured
data does not have a starting point
intervals
zero does not mean anything
no ratio comparison
examples 80 degrees is not 4 times as hot as 20 degrees
like interval but
has a starting point 0 is actually 0
ratios
ratio between the difference can be calculated
example money score on an exam
names or categorizes data
nominal scale
gender handedness, or religion
names or categorizes data and the order is meaningful
ordinal scale
military rank or class rank
data can be arranged in some order. the difference between any two data values is
interval scale meaningful, however, there is no natural zero starting point (where none of the quantity
is present)
contains the properties of the interval scale with the addition of a natural zero indicates
ratio scale that non of the quantity is present
amount of money of kelvin temperature
