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Add-Ons Statistics for Data Analysis
Statistics for Data Analysis Add-Ons
Add-Ons are additional functionalities or shortcuts included in the Statistics for Data Analysis solution, designed and created by our team of professionals specialising in Data Analysis.
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The strong experience gained in the field of Data Analysis, the in-depth knowledge of IBM SPSS Statistics and the constant collaboration with our customers has allowed us to create new functionalities not included in IBM SPSS Statistics, with the aim of:
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Providing you with a single tool to work with, so you don't have to move from one software to another depending on the need for analysis, saving you time.
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Keeping the graphical interface intuitive, so that you can concentrate on the analysis, avoiding learning specific programming languages.
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Integrating procedures created and suggested by the collaboration with our customers, to facilitate and automate your analysis activities.
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Do you have an idea, something you think is missing in SPSS Statistics, that you would like to see implemented as an Add-On to conveniently call up from the software menu? Our team of professionals is ready to welcome your suggestions: write to us at statistics@spss.it
The Add-Ons are automatically installed together with IBM SPSS Statistics and can be found in the various menus:
Data
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Analyse
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Graphs
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Below is the complete list of Add-Ons available today
This page is periodically updated with all the Add-Ons that will be periodically released by our technical staff.
Automatic ID
This procedure allows cases to be duplicated a number of times equal to the value of a numeric variable.
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Want to find out how?
Duplicate Cases
This procedure allows cases to be duplicated a number of times equal to the value of a numeric variable.
Split Strings
This procedure allows a string variable to be broken down into several parts by identifying a character within the string itself.
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Add Days
This procedure allows you to add any number of days to a variable in date format.
Contingency tables
This procedure makes it possible to customise the contingency tables, whose data are automatically imported into a new dataset, ready for subsequent analysis.
Tables for multiple-choice sets
This procedure allows you to customise the tables for multiple-choice sets via a dialogue box.
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RSVP Chart
It is a bar graph superimposed with a graphic element to display the bar-on-bar variation, horizontally.
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Ladder Plot
This is a graph usually used to visualise the effect of a treatment on the same set of subjects, before and after treatment.
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Replace Outliers
This procedure replaces missing values with the average of the values of the group to which they belong.
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Keep Information
This procedure allows cases to be deduplicated by keeping those cases that contain more information.
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String deduplication
With this procedure it is possible to concatenate a list of string variables while retaining, on a case-by-case basis, only the unique values of the string variables.
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Text Extraction
This procedure allows a string variable to be split into two parts, by identifying a character in the string.
File division
This procedure is useful for dividing the file into sub-files based on the values assumed by a user-defined variable
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Add 60 days
Procedure for adding 60 days end of month to a variable in date format.
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Split random files
Procedure for randomly extracting two distinct sets of cases from a single file.
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Exclude Outliers
Procedure to obtain a data file containing only those cases that belong to the range (average (control variable) -/+ n_times the standard deviation).
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Remove Duplicates
Procedure that generates a data file containing only those cases that are NOT duplicated. Cases are selected by selecting one or more control variables to identify duplicate cases.
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Case Validation
Procedure that generates a data file containing only those cases that comply with a set of constraints. Cases are selected by selecting one or more control variables and their respective constraints. In this procedure, constraints are placed on at least two variables.
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Simple Sample Base
This procedure makes it possible to determine the sample size in order to obtain results that reflect the survey population with a certain degree of accuracy.