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21 Cards in this Set
- Front
- Back
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Variable |
Can have different values. The values can VARY |
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Values |
The possible number or category that a score can have |
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Score |
A person's value on a variable |
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Numeric variable |
AKA quantitative value. Variable whose values are numbers. |
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Equal-interval variable |
Numbers stand for approximately equal amounts. Example: GPA. Difference between 3.0 and 3.3 is same as difference between 3.3 and 3.6 |
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Ratio scale |
An Equal-interval variable is measured on a ratio scale if it has an absolute zero point. Example: number of siblings can be zero, so can be measured on a ratio scale. |
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Rank-order variable |
Not equal interval. The difference between first in class and second in class is not the same as difference between 8th in class and ninth in class. This type of rating is helpful because it forces differentiation in the list. |
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Nominal variable |
AKA categorical variable. Nominal means names. These variables have no numbers. Example: gender or psychiatric diagnosis. |
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Level of measurement |
The type of variable used |
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Discreet variable |
Has specific values and cannot have values between values. Example: number of dentist visits in past year. Can be 1 or 2 or 3 but not 1.67. Also race, religion, college major, etc. |
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Continuous variable |
Infinite number of values between any two values. Example: age can be 1 or 2 or 3 but can also be 1.67 or 3.96,etc. Also height, weight, time, etc. |
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Frequency table |
List which shows the frequency of scores. Makes the pattern of numbers easy to see. Grouped interval table is used when there are many values. |
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Interval |
The range of grouped values in a grouped interval table. |
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Frequency distribution |
Pattern of frequencies over the various values; what a frequency table, frequency polygon, or histogram represents. |
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Unimodal distribution |
One high area on a frequency polygon |
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Bimodal distribution |
Two high areas on a frequency polygon |
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Multimodal distribution |
Two or more high points on a frequency polygon |
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Rectangular distribution |
Values all similar on a frequency polygon |
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Positively skewed distribution |
Skewed to the right |
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Negatively skewed distribution |
Distribution skewed to the left |
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Floor effect |
When scores pile up at the low end because it is impossible to have a lower score. |
