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    Tutorial spss Tutorial spss Presentation Transcript

    • Statistika Referensi : Installer SPSS v 16.0
    • Reading Data
      • Data can be entered directly, or it can be imported from a number of different sources. The processes for reading data stored in SPSS-format data files; spreadsheet applications, such as Microsoft Excel; database applications, such as Microsoft Access; and text files are all discussed in this chapter.
    • Basic Structure of an SPSS-format Data File
      • SPSS-format data files are organized by cases (rows) and variables (columns).
    • Reading an SPSS-format Data File
      • SPSS-format data files, which have a .sav file extension, contain your saved data.
      • From the menus choose:
      •   File     Open       Data...
    • Reading Data from Spreadsheets
      • Rather than typing all of your data directly into the Data Editor, you can read data from applications such as Microsoft Excel.
      • From the menus choose:
      •   File     Open       Data...
      • Select Excel (*.xls) as the file type you want to view.
    • Reading Data from Spreadsheets
      • Make sure that Read variable names from the first row of data is selected. This option reads column headings as variable names.
      • Since variable names can't contain spaces, the spaces from the original column headings have been removed. For example, Marital status in the Excel file becomes the variable Maritalstatus. The original column heading is retained as a variable label.
    • Entering Numeric Data
      • In the first row of the first column, type age.
      • In the second row, type marital.
      • In the third row, type income.
      • Or you can copy-paste from anywhere
      • Click the Data View tab to continue entering the data.
    • Entering String Data
      • Click the Variable View tab at the bottom of the Data Editor window.
      • Click the Type cell next to your entry.
      • Click the button on the right side of the Type cell to open the Variable Type dialog box.
      • Select String to specify the variable type
      • Click OK to save your selection and return to the Data Editor.
    • Entering String Data
      • Click the Variable View tab at the bottom of the Data Editor window.
      • Click the Type cell next to your entry.
      • Click the button on the right side of the Type cell to open the Variable Type dialog box.
      • Select String to specify the variable type
      • Click OK to save your selection and return to the Data Editor.
    • Adding Value Labels for Numeric Variables
      • Value labels provide a method for mapping your variable values to a string label. In this example, there are two acceptable values for the marital variable.
      • E.g A value of 0 means that the subject is single, and a value of 1 means that he or she is married.
      • Click the Values cell for the marital row, and then click the button on the right side of the cell to open the Value Labels dialog
      • The value is the actual numeric value.
      • The value label is the string label that is applied to the specified numeric value.
    • Adding Value Labels for Numeric Variables
      • Type 0 in the Value field.
      • Type Single in the Label field.
      • Click Add to add this label to the list.
      • Type 1 in the Value field, and type Married in the Label field.
      • Click Add, and then click OK to save your changes and return to the Data Editor.
    • Adding Value Labels for String Variables
      • Click the Values cell row, and then click the button on the right side of the cell to open the Value Labels dialog box.
      • Type F in the Value field, and then type Female in the Label field.
      • Click Add to add this label to your data file.
      • Type M in the Value field, and type Male in the Label field.
      • Click Add, and then click OK to save your changes and return to the Data Editor.
    • Adding Value Labels for String Variables
    • Summary Measures for Categorical Data
      • Use demo.sav file
      • Frequencies procedure produces frequency tables that display both the number and percentage of cases for each observed value of a variable.
      • From the menus choose:
      •     Analyze   Descriptive Statistics        Frequencies...
    • Summary Measures for Categorical Data
      • Select Owns PDA [ownpda] and Owns TV [owntv] and move them into the Variable(s) list.
      • Click OK to run the procedure.
    • Charts for Categorical Data
      • Click Charts.
      • Click OK to run the procedure.
      • Select Bar charts and then click Continue.
      • Click OK in the main dialog box to run the procedure.
    • Summary Measures for Scale Variables
      • Open the Frequencies dialog box again
      • Click Reset to clear any previous settings
      • Select Household income in thousands [income] and move it into the Variable(s) list.
      • Click Statistics.
      • Select Mean, Median, Std. deviation, Minimum, and Maximum
      • Click Continue.
    • Summary Measures for Scale Variables
      • Deselect Display frequency tables in the main dialog box. (Frequency tables are usually not useful for scale variables since there may be almost as many distinct values as there are cases in the data file.)
      • Click OK to run the procedure.
      • The Frequencies Statistics table is displayed in the Viewer window.
    • Histograms for Scale Variables
      • Open the Frequencies dialog box again
      • Click Charts
      • Select Histograms and With normal curve
      • Click Continue, and then click OK in the main dialog box to run the procedure.
    • Histograms for Scale Variables
    • Source :
      • Hinkle., Wiersma., Jurs., Applied Statistics for the Behavioral Sciences, 5th Edition, Houghton Mifflin Company, New York, 2003.
      • CD Installer SPSS V 16.0