ONLY FOR ZEEK THE GREEK

Complete this SPSS® Variable View worksheet, ensuring every cell contains the appropriate alphanumeric response setting(s). Like a puzzle, some information is provided for you already. You must fill in the remainder. The recommendation is that you complete this worksheet prior to populating the Variable View tab in the assignment SPSS® dataset (PrevCare_HbA1c.sav).

Here are the SPSS® Variable View column headings, with brief definitions/explanations:

· Name (variable name). These have been provided for you and should not be changed.

· Type (e.g., numeric, date, string)

· Width* (The default is 8. Adjust as appropriate.)

· Decimals (The default is 2. Decimals are only needed if the collected data points should logically be carried out to decimals.)

· Label (Keep labels brief but informative. Labels assist with interpreting your output.)

· Values (Used with nominal and ordinal variables. Nominal variables will have numbers assigned to the categories and ordinal variables will have numbers assigned to the rankings.)

· Missing (Defines the numeric values that should be considered missing [e.g., -99] or out of range [e.g., -98])

· Columns* (The default is 8. Adjust as appropriate.)

· Align (Right is the default. You can adjust to your preferences, although consistency is advised.)

· Measure (Scale is for interval/ratio variables; Ordinal for ordinal; Nominal for nominal. String variables ("text") are automatically defined as nominal.)

· Role (The default is Input. You can retain this setting for all of your variables.)

* Width vs. Columns: "Width" refers to the size of the variable. This should be set based on the largest size data point you are likely to obtain for a given variable. If your responses can range from "1" to "150", for example, your width would be "3". If your responses can range from "1.25" to "150.99", then you width would be "6". Decimals count as characters.

Columns are not the same as Width, although they can be equal. Columns will determine how much of the variable name and accompanying data will be visible on the screen. For ease in "reading" your dataset, always be sure the full name of the variable is visible in Data View. Avoid presenting your dataset in a "squashed" manner as this is difficult to read. Consistency is recommended across your variables, though.