M10 Submission of Collected Data with Codebook/Data Dictionary (330 points)This assignment represents the official collection of your data to date. For this assignment, you are requiredto submit your ARP dataset, along with the data dictionary (i.e., Variable View) in SPSS format.Submit one file:1) Your ARP data, collected to date, in an SPSS dataset with the file extension “.sav”.In the Variable View, the following are correctly defined:● Name (variable name). Limit names to 8 alphanumeric characters.● Types (e.g., numeric, date, string)● If your ARP is qualitative, defining variables as “string” will allow you to enter a text summary for eachsubject’s responses, citing direct quotations when appropriate.● Width* (8 is the default. For longer variables, adjust the width accordingly)● Decimals (The default is 2. Decimals are only needed if the collected data points should logically becarried 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 thecategories 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 preference, 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 (Leave as the default, Input.)● Data are clean (e.g., no impossible values; missing values assigned correctly)● For quantitative studies, the dataset contains all data collected to date, including demographics● For qualitative studies:● the dataset contains subject demographics⦁ the dataset covers all major topics/questions of the study● the dataset includes a summary of data for each study subject● direct quotes from subjects are used as appropriate* Width vs. Columns: “Width” refers to the size of the variable. This should be set based on the largest sizedata point you are likely to obtain for a given variable. If your responses can range from “1” to “150”, forexample, your width would be “3”. If your responses can range from “1.25” to “150.99”, then you width wouldbe “6”. Decimals count as characters.Columns are not the same as Width, although they can be equal. Columns will determine how much of thevariable 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.
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