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1.  Your complete ARP data as an SPSS data set with file extension .sav. Use my first initial and last name in the file name (DGooden.sav).2.  ARP Codebook3.  One output file with file extension .spv that includes:Frequencies” tables for each nominal and ordinal variable in your data set. Descriptives” tables for each interval/ratio variables in your data set. Include your first initial and last name in the file name (DGooden.spv).4.  MS Word document with the descriptive data statistics of all study variableStep #11.  There were some missing data particularly of the variable  that should have been assigned -99.2.  The Measure for  should be set as Scale. Also, the Variable Names should be no more than 8 characters.Step #21.  In the variable view, all of the following are correctly defined: name, type, width, decimals, label, values, missing, columns, align, measure, and role.2.  Quantitative Studies: the dataset contains all collected data.3.  Output contains descriptive statistics on all study variables.4.  All descriptive statistics reported are appropriate (frequencies for nominal and ordinal variables; descriptives for interval/ratio variables).5.  SPSS file is clear, comprehensive, and understandable and presentation is clear, uncluttered, and understandable.Step #31.  One output file with file extension .spv that includes: “Frequencies” tables for each nominal and ordinal variable in your data set. “Descriptives” tables for each interval/ratio variables in your data set. “Include your first initial and last name in the file name (DGooden.spv).2.  Data View and Variable View. In the Variable View, the following are correctly defined:Name (The variable name)Type (For example, numeric, date, string). If your ARP is qualitative, defining variables as “string” will allow you to enter a text summary for each subject’s responses, citing direct quotations when appropriate.Width (8 is the default. For longer variables, adjust the width accordingly)Decimals (0 is the default. Decimals are only needed if the collected data are carried out to a decimal place).Label (This is a chance to expand on the variable Name. This helps with interpreting output.)Values (For nominal variables. The Values define the response that corresponds to each numeric value.)Missing (Defines what numeric values should be considered missing (e.g., -9999)Columns (8 is the default. Determines how wide the variable’s column will be. Adjust as appropriate.)Align (Left is the default. You can adjust to your preferences.)Measure (Scale is for interval/ratio variables; ordinal for ordinal; nominal for nominal. String variables are automatically defined as nominal.)Role (Leave as the default, Input.)The data set contains all collected data for quantitative studies.Step #41.  Output contains descriptive statistics on all study variables.All descriptive statistics reported are appropriate (frequencies for nominal and ordinal variables; descriptives for interval/ratio variables)The SPSS output file (extension .spv) is separate from the data file (extension .sav). Refer to SPSS demonstrations in previous modules to view how to navigate between data and output files.Step #51.

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