New features of IBM SPSS Statistics26
ROC analysis supports inferences about a single AUC, precision-recall (PR) curve, and provides the option to compare two ROC curves generated from independent groups or paired subjects.
Measures one factor from the same subject at each independent time point or condition and allows these subjects to cross over across multiple levels
A binomial random variable can be viewed as the sum of a fixed number of independent Bernoulli trials.
When drawing Bayesian statistical inferences about the Poisson distribution, conjugate priors from the gamma distribution family are used
Fleiss multi-rater Kappa statistic options are available, these statistics evaluate inter-rater agreement to determine reliability among various raters.
Enhancements include support for long variable names to name matrices or vectors, support for long variable names in GET and SAVE commands, and support for statistical functions previously only supported by the COMPUTE command (such as IDF.CHISQ, CDF.NORMAL, NCDF.F, etc. wait)
Enhancements include covariance type structure ARH1 CSH, random effects, repeated effects, Kenward-Roger degrees of freedom method, Kronecker covariance type and KRONECKER MEASURES keyword.
Enhancements include the DFMETHOD keyword, the KRONECKER keyword, and the un_1, uncs, and UN_ UN options.
Model the relationship between a set of predictor variables (independent variables) and a specific percentile (i.e., quantile, usually the median) of the target variable (dependent variable).
IBM SPSS Statistics26 software features
Use pivot tables for calculations
This process calculates values based on cell values in a pivot table. Results can replace existing cell values or, if you are running a version of Statistics later than V20, place the results into new columns or rows. You can select a specific type of table in the viewer to apply these modifications to, and you can select a range.
• Lightweight tables available in V19 are not editable and therefore are not affected by this command.
The selected item consists of the following items:
The type of table to be processed. These types are OMS table subtypes.
Dimension: The row or column in which the results are to be stored (default is column).
Specific target rows or columns
Application scope: only applies to the previous command or applies to all outputs (the default is to apply to the previous output).
Select the table, dimension, and target row or column
Table subtype: Please enter the OMS table subtype. Determine the subtype by right-clicking the table instance's outline and selecting Copy OMS Subtype, or by selecting from the list in Utilities > OMS Identity. Enter * to select all subtypes (not generally useful for this command).
• This command cannot handle certain types of tables. Tables in which a layer has multiple categories or multiple dimensions cannot be processed. Tables with true nesting in the selected dimension cannot be processed (except when in putback mode). Note that the "Custom Table" output that appears to be nested does not actually use true nesting and therefore can be processed.
Dimensions: Select columns or rows to determine the dimensions of the table you want to process. If Column is selected, a new value is calculated for each row in the table and placed into the selected column in that row. If Row is selected, a new value is calculated for each column and placed in the selected row. Multiple output columns or rows can be specified.
Target columns or rows Please enter a list of target rows or columns to process, separating each item with a space. Rows or columns can be specified using zero-based numeric positions or label text enclosed in quotation marks. For text, the target position is determined by the first matching tag.
• Text matches are case-sensitive.
Repeat target specification for entire dimension If the same label is likely to appear multiple times, you can check this box so that the label or sequence of labels is repeated enough times to cover the entire dimension. For example, in a table, each category of a variable might have a "Count" label. When this box is checked, the "Count" goal will be repeated for each category.
• Duplicates can only be used if the target is specified as a label rather than a number.
Label text matching level The first row or column (the outermost row or column) is 0. Use negative numbers to count backwards from the end: -1 means the last (innermost) label row or column. You can use a combination of numeric and text specifications.
• Counts rows or columns at the innermost level of the table.
Range of tables to process Select whether to process only the tables in the previous command output or all tables of the specified type in the viewer.
Print table labels (for debugging) Check this box to view all labels in the selected dimension. Since many tables have hidden labels, the complete structure can be seen using this feature.
Formula Formulas specify the calculations to be performed. For columns, the formula will be applied to each row, and for rows, the formula will be applied to each column. If you want to refer to an item enclosed in quotation marks in a formula, use single quotation marks (') instead of double quotation marks (").
This formula can use standard arithmetic operators (use ** for powers) as well as standard Python math functions such as min, max, mod, trunc, round, abs, exp, and log (base e, use log(x,10 ) means the base is 10). Except as noted below, this must be valid Python syntax. For a complete list, see the Python documentation (including the math module).
There are three ways to reference row or column values in a table. All these values are evaluated before any items are added to the table.
A reference of the form xn, where n is an integer (such as x2), referring to an absolute column or absolute row. Numbering starts at 0, so x0 is the first column or row.
A reference of the form x[n] or x[-n] refers to a value to the left or right (above or below) of the target position. For example, x[-1] refers to a position just to the left of the target position (if using columns) or just above the target position (if using rows). x[1] refers to the position just to the right of the target position. x[0] is the target position itself (before the target is inserted).
Example: Suppose there are columns labeled a, b, and c, and the target position is c. Then x[0] refers to the value at c, x[-1] refers to b, and x[-2] refers to a, regardless of the mode setting.
A reference of the form x['string'] or x[-'string'] refers to a value to the left or right (above or below) of the target position, where string is the label value at the specified level. For example, x[-'Clerical'] refers to the column closest to the left of the target position labeled "Clerical".
Please note that the string must be enclosed in quotes. The square bracket notation used here does not refer to Python dictionaries, but to positions.
Modules that contain custom functions to be used in formulas. Standard formula notation only provides access to the value in the row or column of the result location. To access other values in the table (such as the total at the bottom), you must write a custom function. This is also very useful for complex calculations. Please specify the name of the Python module containing one or more functions to be used in the formula. See the following for details on how to write custom functions.
Hide input columns or rows Check this box to hide all input rows or columns referenced in formulas (excluding references in custom functions).
Target Column Width (Points) Please enter a number to specify the target column width. This number refers to points. 72 dots equal one inch.
Target column format Please select the format of the target column. "As is" means that if the target mode is replace, use the current format, otherwise use the default format. The other formats listed are the same as those shown in the Format Cells dialog box of the Pivot Table Editor. Date formats are not listed here, but are valid in the syntax.
Decimal places specifies the number of digits displayed after the decimal point. If the format is "as is", this setting does not apply.
How invalid values are displayed This setting controls what is displayed in the table when a value cannot be calculated due to invalid input (for example, the value is missing or not a number) or a numeric condition (such as division by zero). If the last radio button is set, you can enter custom text.
IBM SPSS Statistics26 Instructions for Use
1. If you can open IBM SPSS Statistics26 and use it normally, it means that the software has been successfully activated. Here is the startup interface of the software.
2. Enter the boot interface of the software, where you can view the new functions of the software.
3. The software interface is as shown in the figure. If you can use this software, you can create a new database and analyze the data in the software.
4. Create a new data function. You can enter data here in the software interface and add the data you need to analyze to the software.
5. Variable setting function, you can set variables by selecting a type of data in the software interface
6. Map conversion utility
Step 1-Select the source file
This utility helps you convert and edit map files for use in creating visual maps in the Graphics Template Selector. Map files provide contextual maps in which data can be displayed. Existing shp or smz files that require this utility
You can use this utility to edit map files and save them as .smz files
7. Select the .shp (ESRI) or .smz file to be used for conversion. Browse to an existing map file on your computer. This is the file you want to convert and save as an SMZ file. The shapefile's .dbf file must be stored in the same location as the .shp file, and both should have the same base file name. The .dbf file is required because it contains property information for the .shp file.
8. Set the target location and file name for the converted map file. Enter the path and file name for the SMZ file that will be created from the original map source
9. The Style Output: Selection dialog box specifies basic selection criteria for the changes you specify on the Style Output dialog box.
To open the Style Output: Selection dialog box:
Select one or more objects in the viewer.
Select from the menu: Utilities > Style Output
You can also open the Style Output: Selection dialog box and select objects in the viewer.
10. All objects of this subtype. Changes apply to all tables of the same subtype as the selected table that meets the specified criteria. This option is only available when a single table subtype is selected in the viewer. For example, a selection can contain two separate frequency tables, but not a frequency table and a description table.
11. Objects with similar names. Changes are applied to all objects with similar names that meet the specified criteria.
condition. The options are "contains", "exact", "begins", and "ends".
Value. The name that appears in the viewer's summary pane.
renew. Selects all objects in the viewer that match the specified criteria with the specified value.
12. Checklist
Use this dialog box to clear or hide certain cells in a PivotTable report based on the values of specified statistics in the table. For example, if the cell count is less than 5, you can clear the mean statistic.
13. In the "Label" field of "Retrieve Statistics", enter the innermost text of the label of the row or column that contains the check statistics. You must match the case of the text and include any spaces in the tags.
14. Select the type of comparison you want to complete from the drop-down list. The tests conducted were
abs (cell value) testtype critvalue.
For example, abs(cell count)<5.
15. List the cells you want to review in neighboring rows or columns to the review field. Censored cells are represented by their position relative to the censored statistics. Negative numbers are to the left or above the censored cell, and positive numbers are to the right or below the cell. Include 0 in the list to censor the censorship statistics itself.
For example, if the table has the number of columns, mean and standard deviation, you can enter it in the list by
1 2
to check the mean and standard deviation based on counts.
16. You can specify the OMS subtype of the table to be processed in the Table OMS Subtype field. You can find subtypes by right-clicking on the instance's outline or Utilties/OMS identifier. The case and white space are irrelevant.
By default, review will be applied to the last PivotTable in the Viewer. You can specify All to review all tables. If an OMS table subtype is specified, the review is limited to tables of that type.
17. Check the Hide conditional rows or columns box to hide the entire row or column containing review statistics.
By default, header text is added showing the number of deleted cells and the name of the audit statistic. Uncheck Add title and review information to prevent this.
You can control whether the header always appears, or only when any cell is actually reviewed, by selecting the corresponding radio button.
18. Check Custom Title Text and enter text below to get custom title text.
By default, deleted cells are blank. Enter a one or more character string in Symbol of truncated cell to specify a different replacement text.
Prerequisites
Requires the Python Programmability plugin. It can be installed from the SPSS Statistics installation CD or downloaded from SPSS Developer Central (www.spss.com/devcentral).
Other functions provided by grammar
Executing SPSSINC CENSOR TABLES / HELP will generate a complete syntax chart. In the syntax, you can include commands to be executed to generate tables in the SPSSINC CENSOR TABLES command. This will provide better control if the table generation command fails.
19. Apply a grammar file to a set of data files
This procedure provides a way to loop over a set of data files and apply the same set of syntax to each of them. This syntax can contain any command. Macros and file handles are provided for referencing input and output specifications.
This procedure can be conveniently used in conjunction with SPSSINC SPLIT DATASET, which can split a data set based on the value of the splitting variable.
The input data file specified by the wildcard expression. Please select a directory to process and optionally specify a file mode. For example,
c:mydatax*.sav
Will process all sav files in the c:mydata directory whose names begin with the letter x.
• If no filename expression is specified, *.sav will be assumed.
• You must select this option or the Enter Data option below, but not both at the same time.
The input data file specified in file. Process all files listed in the specified file. The SPSSINC SPLIT DATASET command generates the file in the correct format.
• You must select either this option or the Enter Data option above, but not both at the same time.
The syntax file to be executed for each data file. This grammar file will be called for each input data set. This file should be read and all expected operations performed. File handles and macros are defined for referencing input files and various output locations. The file handle is shown below.
JOB_INPUTFILE: input file
JOB_DATADIR: Input data directory
JOB_OUTPUTDATADIR: Specified output data directory or
JOB_VIEWERDIR: Specified viewer output directory or
• For SAV files, you can use
GET FILE="JOB_INPUTFILE" command to read data.
• Macros are also defined with these names (except starting with "!"). Two additional macros are defined.
!JOB_DATAFILEROOT: Input data file name without extension
!JOB_DATAFILEEXT: Input the extension of the data file
The text !JOB or JOB will be replaced with the root name specified in the root name control.
• Macro text is enclosed in quotation marks. The following code example exports viewer content to a specified viewer directory using a data file name with an .xls extension.
DEFINE !out () !QUOTE(!CONCAT(!EVAL(!UNQUOTE(!JOB_VIEWERDIR)), "/", !EVAL(!unquote(!JOB_DATAFILEROOT)), ".xls"))
!ENDDEFINE.
OUTPUT EXPORT /XLS DOCUMENTFILE =!out.
The directory for output data files. If specified, for each data set, the data files are written to this directory as .sav files after the syntax is completed. This is useful when performing conversions on a set of files. Of course, you can leave this field empty and write any data file output of your choice. The JOB_OUTPUTDATADIR file handle or the !JOB_OUTPUTDATADIR macro determines the data output location specified in this command
Viewer output. You can save the viewer output in separate files for each data file or as a single file for the entire job. Please select the appropriate radio button and enter a directory name or file specification. If you choose to write to a single file but enter only the directory in the next control, the file will be named VIEWER.SPV. The control's Browse button only allows you to specify a directory, but you can enter a file name.
Write the job log to a file. Please specify a file for the job log. The log will list the files processed and written by this process, each with a timestamp.
• Operations performed by grammar files are not logged.
• If a serious error occurs while processing the file, the log will contain an error entry.
Syntax to be executed before processing begins. You can specify a grammar file to be executed once before starting processing of the input file. The macro and file handle will be defined for the first file in the processing list. If a critical error occurs, processing will stop.
Syntax to be executed after all processing is completed. You can specify a grammar file to be executed once after processing of all input files is complete. The macro and file handle will be defined for the last file in the processing list.
Options
Log file method. Select whether to append the job's log entries to the end of the existing file, or to replace the contents.
Complete data file processing after each step. Select Close to close all datasets after each iteration of input file processing. If you want to combine multiple datasets into one, it is useful to keep the dataset open after each step is completed. After this command completes, the final data set can be saved.
Error handling. You can choose whether to continue processing the next data file or stop processing any subsequent files after an error occurs. When possible, output data and viewer files will still be written against the data file that caused the error, even if stop processing is specified.
The root name of macros and file handles. By default, file handles and macros are defined with the prefixes JOB and !JOB respectively, followed by an underscore. You can specify a different prefix instead of JOB. For macros, ! is added in front of the prefix.
Macro definition
Use this subdialog to define your own macros that can be used in grammar files. Up to 5 macros named !PARM1 to !PARM5 can be defined, and the values of these macros will be ordinary syntax or variable names; up to 5 macros named !QPARM1 to !QPARM5 can be defined, and the values of these macros will be enclosed in A literal string within quotation marks. Strings enclosed in quotes are useful for titles or string expressions in transformations.
Macros whose values are not enclosed in quotes. Please enter any macro text that represents SPSS syntax that should not be displayed within quotation marks.
A macro whose value is a literal value enclosed in quotes. Please enter any macro text that represents SPSS syntax (such as a title, label, or file name) that should appear within quotation marks.
• If you need to enclose a literal value in a definition within quotes, use single quotes ('). The generated macro text will be enclosed in double quotation marks (").
Macro example: Search data files for a specific case ID
Suppose a file set contains an ID variable named PatientID, and you want to find all instances of the identifier "Johann Schmidt". You can use the following snippets in your grammar file.
SELECT IF !PARM1 EQ !QPARM1.
FREQUENCIES !PARM1.
Where you enter PatientID in the PARM1 field and Johann Schmidt in the QPARM1 field.
• Because the FREQUENCIES command will generate an error when no cases are selected, set the Error Handling parameter to Continue to Next File. (You can use OMS to exclude the generated "warning" table.)
• Write viewer output to a single file for easy viewing of results.
Data search utility
See Edit > Search Data Files to find the dialog box for using this command to search for cases in a set of SAV files.
Other functions
Run
SPSSINC PROCESS FILES /HELP
The command can display a complete syntax description. Using the syntax, you can write output to the SPSS processor's current working directory. The SHOW DIRECTORY command displays the name of the directory.
To use a file to specify multiple files that should be processed, create a file and specify a name (including the file path) on each line in it. The name must be enclosed in double quotes ("). All subsequent content on the line will be ignored. Empty lines and lines starting with # will be ignored.
IBM SPSS Statistics FAQ:
What should I do if the variable definitions are not uniform?
Solution: Develop clear variable input rules before input to ensure that variables are defined and entered consistently in all records.
What to do if missing values are not handled properly?
Solution: Code all missing values the same (for example, all are 999), and perform missing value testing and substitution before analysis.
Due to copyright and manufacturer requirements, Huajun Software Park provides the official download package of IBM SPSS Statistics software.
IBM SPSS Statistics update log:
1: Optimized performance
2: We are serious about solving bug problems
Huajun editor recommends:
IBM SPSS Statistics is a very good auxiliary design software. I secretly tell you that I also use this software. I don’t tell others about it! Powerful, green and safe. Huajun Software Park also provides you withDoor and window CC manufacturer version,Dutt door and window master,vect2000 vectorization software,Show me my house,3D piping design softwareWaiting for you to download.
it works
it works
it works