![]() Enter the names of the variables in the Name column, leave the type as Numeric, and change the Decimals column to zero, because all the values will be integers. In this example, you'll want two variables: Ran (with values of 1 or 0, for ran or did not run) and Frequency, with values from the frequency column above. Open a new dataset from File > New > Data.Īt the bottom of the Data Editor Window, click on Variable View to create new variables. To enter this as a weighted table, first we need to create a new dataset. In this example, you have one dichotomous variable (whether a subject ran or did not run in an experiment), and the Frequency column indicates how many cases fell in either of this categories. Let's start with an example with one categorical variable, for example: Value This works when you have one or more categorical variables. You can enter this by hand using frequency weights. Sometimes you don't have the data itself, but a frequency table derived from the data. Your data are loaded and ready to analyze. If you want to import these data again, you can save the defined format to go through these steps automatically. Once you've checked the variables, click Next. The software will guess based on the values, but if it guesses wrong you can click on the variable and select the correct format from the dropdown under "Data format." You can also select "Do not include" if you don't need this variable, and you can change the variable name. The next step is your chance to designate whether a variable is numeric or string (text).Some files, commonly CSVs, text values are contained in quotation marks if this is so select single or double quote under "What is the text qualifier?" otherwise select None and click on Next. Make a selection under "Which delimiters appear between variables?" and check the Data Preview to see that it is correct. For a TXT file, it could be any of the choices. For a CSV file, this is a comma for a TSV it is a tab. At this screen, you select the delimiter, which is the character that separates columns.For most data files, each line will contain values for one case, or observation, so under "How are your cases represented select "Each line represents a case." Under "How many cases do you want to import?" select All of the cases, or sample if necessary, then click Next. If your file had column names for the first row, then the first case of data begins on line number 2.Under "Are variable names included at the top of your file?" select Yes if the file has a row of column names. Under "How are your variables arranged?" select Delimited.Under "Does your text file match a predefined format?" select No and click Next. Under Files of Type, change "SPSS Statistics (*.sav)" to the appropriate file extension (CSV or Text) then choose your file in whatever folder it has been saved. To load these data, go to File > Open, and select Data from the drop-down menu. tsv, and are very common ways to store data. Text data files have file extensions like.Under Files of Type, change it from "SPSS Statistics (*.sav)" to "Excel (*.xls, *xlsx, *.xlsm)," then choose your file in whatever folder it has been saved. Click Open, and you will get one more menu.īecause Excel files can have multiple worksheets within each file, select the worksheet you want, and make sure the box is checked next to "Read variable names from first row of data."Ĭlick OK and your file will load check to make sure it looks as you expected. To open these files in SPSS, go to File > Open, and select Data from the drop-down menu. ![]() xls or xlsx, and are very common ways to store and exchange data. ![]()
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