writing 4 scales of measure
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Lesson 2 Scales of Measure Outline Variables measurement versus categorical continuous versus discreet independent and dependent Scales of measure nominal, ordinal, interval, ratio Variables A variable is anything we measure. This is a broad definition that includes most everything we will be interested in for an experiment. It could be the age or gender of participants, their reactions times, or anything we might be interested in. Whenever we measure a variable, it could be a measurement (quantitative) difference or a categorical (qualitative) difference. You should know both terms for each type. Measurement variables are things to which we can assign a number. It is something we can measure. Examples include age, height, weight, time measurement, or number of children in a household. These examples are also called quantitative because they measure some quantity. Categorical variables are measures of differences in type rather than amount. Examples include anything categorize such as race, gender, or color. These are also called qualitative variables because there is some quality that distinguishes these objects. Another dimension on which variables might differ is that they may be either continuous or discreet. A continuous variable is a variable that can take on any value on the scale used to measure it. Thus, a measure of 1 or 2 is valid, as well as 1.5 or 1.25. Any division on any unit on the scale produces a valid possible measure. Examples include things like height or weight. You could have an object that weighed 1 pound or 1.5 pounds or 1.25 pounds. All are possible measures. Discreet variables, on the other hand, can assume only a few possible values on the scale used to measure it. Divisions of measures are usually not valid. Thus, if I measure the number of television sets in your home it could be 1 or 2 or 3. Divisions of these values are not valid. So, you could not have 1.5 televisions or 1.25 televisions in your home. You either have a television or you don’t. Another way to keep this difference in mind is that with a continuous variable is a measure of “how much.” A discreet variable is a measure of “how many.” Scales of Measure – whenever we measure a variable it has to be on some type of scale. The following scales are delivered in order of increasing complexity. Each scale presented is in order of increasing order. Nominal scales – These are not really scales as all, but are instead numbers used to differentiate objects. Real world ...
Lesson 2
Scales of Measure
Outline
Variables
measurement versus categorical
continuous versus discreet
independent and dependent
Scales of measure
nominal, ordinal, interval, ratio
Variables
A variable is anything we measure. This is a broad definition that includes most
everything we will be interested in for an experiment. It could be the age or gender of
participants, their reactions times, or anything we might be interested in.
Whenever we measure a variable, it could be a measurement (quantitative) difference or a
categorical (qualitative) difference. You should know both terms for each type.
Measurement variables
are things to which we can assign a number. It is something we
can measure. Examples include age, height, weight, time measurement, or number of
children in a household. These examples are also called quantitative because they
measure some quantity. Categorical variables are measures of differences in type rather
than amount. Examples include anything categorize such as race, gender, or color.
These are also called qualitative variables because there is some quality that distinguishes
these objects.
Another dimension on which variables might differ is that they may be either continuous
or discreet. A continuous variable is a variable that can take on any value on the scale
used to measure it. Thus, a measure of 1 or 2 is valid, as well as 1.5 or 1.25. Any
division on any unit on the scale produces a valid possible measure. Examples include
things like height or weight. You could have an object that weighed 1 pound or 1.5
pounds or 1.25 pounds. All are possible measures. Discreet variables, on the other hand,
can assume only a few possible values on the scale used to measure it. Divisions of
measures are usually not valid. Thus, if I measure the number of television sets in your
home it could be 1 or 2 or 3. Divisions of these values are not valid. So, you could not
have 1.5 televisions or 1.25 televisions in your home. You either have a television or you
don’t. Another way to keep this difference in mind is that with a continuous variable is a
measure of “how much.” A discreet variable is a measure of “how many.”
Scales of Measure – whenever we measure a variable it has to be on some type of scale.
The following scales are delivered in order of increasing complexity. Each scale
presented is in order of increasing order.
Nominal scales
– These are not really scales as all, but are instead numbers used to
differentiate objects. Real world examples of these variables are common. The numbers
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writing 4 scales of measure

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