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IBM SPSS Statistics 22 Core System User's Guide

IBM SPSS Statistics 22 core SystemUser's Guide NoteBefore using this information and the product it supports, read the information in Notices on page InformationThis edition applies to version 22, release 0, modification 0 of IBM SPSS Statistics and to all subsequent releases andmodifications until otherwise indicated in new 1. 's new in version 22?.. window versus active window .. 3 Status names and variable labels in dialog box lists 4 Resizing dialog box type, measurement level, and variable list icons 5 Getting information about variables in dialog boxes . 5 Basic steps in data out 2. Getting Help on Output 3. data data open data file file Excel older Excel files and other spreadsheets 11 Reading dBASE Stata Database Cognos IBM SPSS data Collection data save modified data data files in external data files in Excel data files in SAS data files in Stata Subsets of data to a to IBM SPSS data Datasets: Compare Datasets: Attributes datasets: Output original Active a data 4.

Chapter 7. Data preparation.....65 Variable properties .....65 Defining Variable Properties.....65 To Define Variable Properties .....66

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Transcription of IBM SPSS Statistics 22 Core System User's Guide

1 IBM SPSS Statistics 22 core SystemUser's Guide NoteBefore using this information and the product it supports, read the information in Notices on page InformationThis edition applies to version 22, release 0, modification 0 of IBM SPSS Statistics and to all subsequent releases andmodifications until otherwise indicated in new 1. 's new in version 22?.. window versus active window .. 3 Status names and variable labels in dialog box lists 4 Resizing dialog box type, measurement level, and variable list icons 5 Getting information about variables in dialog boxes . 5 Basic steps in data out 2. Getting Help on Output 3. data data open data file file Excel older Excel files and other spreadsheets 11 Reading dBASE Stata Database Cognos IBM SPSS data Collection data save modified data data files in external data files in Excel data files in SAS data files in Stata Subsets of data to a to IBM SPSS data Datasets: Compare Datasets: Attributes datasets: Output original Active a data 4.

2 Distributed Analysis Mode 41 Server and Editing Server Login Settings .. 41To Select, Switch, or Add for Available data Files from a Remote Access in Local and Distributed Analysis Mode 43 Availability of Procedures in Distributed versus Relative Path Specifications .. 44 Chapter 5. data display or define variable measurement line breaks in variable definition attributes tomultiple Variable Variable enter numeric enter non-numeric use value labels for data value restrictions in the data editor .. 57 Editing or modifying data , copying, and pasting data values .. 57 Inserting new new change data cases, variables, or and replacing data and attribute values .. 60 Obtaining Descriptive Statistics for selection status in the data Editor display Editor print data Editor 6.

3 Working with Multiple Handling of Multiple data with Multiple Datasets in and Pasting Information between Datasets 63 Renaming Multiple 7. data Variable Define Variable Value Labels and Other the Measurement Variable Variable measurement level for variables withunknown measurement Response Multiple Response data data Duplicate Bin Generating Binned Categories .. 77 Copying Binned Values in Visual 8. data Transformations .. 81 data Variable: If Variable: Type and Values in Number Occurrences of Values within Values within Cases: Values to Count .. 83 Count Occurrences: If into Same into Same Variables: Old and New Values 85 Recode into Different into Different Variables: Old and Cases: Cases: and Time and Times in IBM SPSS a Date/Time Variable from a String.

4 91 Create a Date/Time Variable from a Set or Subtract Values from Part of a Date/Time Series data Time Missing 9. File handling and handling and file data data : Aggregate data : Variable Name and Label.. 105 Split cases: cases: Random cases: Restructure data Wizard: Select data Wizard (Variables to Cases):Number of Variable data Wizard (Variables to Cases):Select data Wizard (Variables to Cases):Create Index data Wizard (Variables to Cases):Create One Index data Wizard (Variables to Cases):Create Multiple Index data Wizard (Variables to Cases) data Wizard (Cases to Variables):Select data Wizard (Cases to Variables):Sort data Wizard (Cases to Variables) data Wizard: 10. Working with output .. 119 Working with and hiding , deleting, and copying initial alignment of output items to the and replacing information in the Viewer 122 Copying output into other report SPSS Statistics 22 core System User's GuideGraphics only format print output and Attributes: Headers and Attributes: save a Viewer 11.

5 Pivot a pivot a pivot a display order of elements within rows and columns within a rows and rows or rows or row or column rows and display of variable and value labels 135 Changing the output large with and displaying to layer and hiding rows and columns in a hidden rows and columns in a table 137 Hiding and showing dimension and showing table apply a edit or create a change pivot table properties: properties: properties: cell properties: properties: and and and footnotes and hide or show a hide or show a footnote in a footnotes in legacy cell column hidden borders in a pivot table .. 143 Selecting rows, columns and cells in a pivot table 144 Printing pivot table breaks for wide and a chart from a pivot 12. with a with the Model a a fields used in the model to a new dataset 149 Saving predictors to a new dataset based for Model 13.

6 Automated Output: Output: Labels and Output: Output: Output: Style: Style: 14. Working with Syntax from Dialog Paste Syntax from Dialog Syntax from the Output Copy Syntax from the Output the Syntax Editor or Uncommenting Command Syntax Execute Syntax Execute syntax 15. Overview of the and editing a definition and Editing Titles and Footnotes .. 175 Setting General 16. Scoring data withpredictive model fields to dataset scoring the active model and transformation XML files .. 180 Chapter 17. file variable variable sets to show and hide variables .. 184 Reordering target variable and editing extension local extension installed extension extension 18. the default variable create custom currency Element Element Element Element table locations editor imputations 19.

7 Customizing Menus Menus and Customize New 20. Creating and ManagingCustom Dialog Builder a Custom the Menu Location for a Custom Dialog 211 Laying Out Controls on the the Syntax a Custom Custom Variable Box and List Box Text Box Dialogs for Extension Localized Versions of Custom Dialogs .. 227 Chapter 21. Production jobs with OUTPUT commands .. 234 Runtime and Editing Server Login Settings.. 235 user job production jobs from a command line .. 236 Converting Production Facility 22. Output object identifiers and table output display from the output to IBM SPSS Statistics data files245 data files created from multiple column elements to controlvariables in the data names in OMS-generated data files .. 246 OXML table SPSS Statistics 22 core System User's GuideCopying OMS identifiers from the 23.

8 Scripting Existing Scripts with Viewer Objects 253 Scripting with the Python Programming Language 253 Running Python Scripts and Python programs 254 Script Editor for the Python in with Versions Prior to .. 255 The scriptContext 24. TABLES and IGRAPHC ommand Syntax 25. Encrypting data files,output documents, and syntax files.. SPSS Statistics 22 core System User's GuideChapter 1. OverviewWhat's new in version 22?Automated output modificationAutomated output modification applies formatting and other changes to the contents of the active Viewerwindow. Changes that can be applied include:vAll or selected viewer objectsvSelected types of output objects (for example, charts, logs, pivot tables)vPivot table content that is based on conditional expressionsvOutline (navigation) pane contentThe types of changes you can make include:vDelete objectsvIndex objects (add a sequential numbering scheme)vChange the visible property of objectsvChange the outline label textvTranspose rows and columns in pivot tablesvChange the selected layer of pivot tablesvChange the formatting of selected areas or specific cells in a pivot table based on conditionalexpressions.

9 For example, make all significance values less than more information, see the topic Chapter 13, Automated Output Modification, on page reportsA web report is an interactive document that is compatible with most browsers. Many of the interactivefeatures of pivot tables available in the Viewer are also available in web reports. You can distributeresults in a single HTML file that can be viewed and explored on most mobile more information, see the topic Web report options on page enhancementsvYou can now simulate data without a predictive between categorical fields can now be captured from historical data and used whensimulating data for those is now full support for simulating categorical string tests (NPTESTS) enhancementsvAs an alternative to model viewer output, you can create pivot table and chart output fornonparametric fields can now be used in nonparametric for PythonIBM SPSS Statistics - Essentials for Python is now installed by default with IBM SPSS Statistics , and italso now includes Python for all supported operating systems.

10 By default, the IBM SPSS Statistics -Integration Plug-in for Python uses the version of Python that is installed by IBM SPSS Statistics , but Copyright IBM Corporation 1989, 20131you can configure the plug-in to use a different version of Python on your extension bundlesYou can now search for and download extension bundles, hosted on the SPSS Community , from within SPSS enhancementsNew build options for Generalized Linear Mixed Models (GLMM) to set convergence reader accessibility for pivot tables. Screen readers now read row and column labels with cellcontents. You can control the amount of label information that is read for each cell. For more information,see the topic Output options on page wizard enhancements. In distributed mode (connected to an IBM SPSS Statistics Server), youcan include calculations of new fields that are performed in the database before reading the databasetables into IBM SPSS Statistics .


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