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Measurement scale Variable name values max & min value made up values for 10 people nominal employment status unemployed, employed, retired n/a green, brown, yellow,
Measurement scale | Variable name | values | max & min value | made up values for 10 people |
nominal | employment status | unemployed, employed, retired | n/a | green, brown, yellow, red, violet, black, white, pink, orange, blue |
ordinal | education level | high school diploma, associate degree, bachelor's degree, master's degree, doctorate degree | doctorate degree - high school diploma | bachelor's degree, bachelor's degree, doctorate degree, associate degree, high school diploma, bachelor's degree, associate degree, master's degree, high school diploma, master's degree |
interval | IQ test score | 60-76, 77-92, 93-108, 109-124, 125-140 |
| 120, 69, 115, 75, 94, 83, 85, 106, 111, 98 |
ratio | height in centimeters | n/a | Min.: 0 Max.: + (infinity symbol) | 152, 155, 158, 160, 163, 165, 167, 170, 172, 175 |
Find SPSS on a computer and open it.
- When it opens you should see an SPSS data set
- Notice that the data set has two options at the bottom: variable view and data view
- Click on variable view - this is where you will define each of your variables in SPSS
- In variable view, define each of your four variables by specifying the
- Name
- Type
- Decimal places if your variable might have decimals
- Label you'd like to display in your output for that variable
- For your nominal level variable, the Values that your variable can take
- Measure (type of - scale, nominal or ordinal)
- Switch to data view for the next step - notice that your variables are now listed at the top of the columns
- Now put in the values you assigned to each of your 10 people from Part I. In this step, you simply type in each cell going down each column/variable, the number that each of your 10 people produced for THAT variable.(For your nominal data use, the value you defined, not necessarily the name you labeled that value)
- Send image of SPSS data set when you're done.
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