Norsk versjon - SPSS

Software information

SPSS is a comprehensive software package for statistical analysis and data management. The software provides a wide range of methods, including ad hoc analyses, hypothesis testing, and report generation. These functionalities facilitate the processes of organizing data, selecting and conducting analyses, and presenting results. Among its more recent features are support for Bayesian statistics, publication-ready graphics, and enhanced integration with third-party software.

Description

SPSS provides a broad range of statistical functionalities, including:

• Descriptive statistics
• Bivariate and multivariate analyses
• Regression analysis (linear and logistic)
• Analysis of variance (ANOVA)
• Factor analysis and cluster analysis
• Crosstabulations and non-parametric tests
• Time series analysis
• Questionnaire processing and data coding

SPSS features a user-friendly, menu-driven interface, while also supporting advanced scripting through syntax as well as integration with Python and R.

Areas of application

• Academic research
• Health sciences and medical studies
• Market research
• Public administration and policy development
• Data analysis in business and industry

For further information, see ibm.com.

License Information

Site License: Available for Microsoft Windows and Mac. As of today, there is no software license agreement for Linux. The software may only be used for academic work and not for commercial purposes.

There are two types of licenses available for SPSS:

• License Server: When using SPSS, you must be connected to NTNU’s network, either on campus via eduroam, with a network cable, or from home via VPN. If your Mac computer is managed by NTNU IT, you will have Cisco Secure Client installed and should connect this to use SPSS. If your Windows computer is managed by NTNU IT, you have Always On VPN and don't need an extra VPN. A license is issued from the license server while the application is in use. License server name: spss.lisens.ntnu.no

• Single-User License: You receive a license tied to your device, allowing you to use SPSS without being connected to NTNU’s network. The license must be activated using an activation code, and you must be connected to NTNU’s network during activation. This license is time-limited. As a general rule, the license server should be used. However, if you require a single-user license, please send a request to orakel@ntnu.no with a justification for why this type of license is needed. The license expires on December 1, but SPSS will continue to function until December 31. This provides an additional month to renew the license before the software stops working.

Installation

1. Download and run the installation file from the NTNU`s portal for downloadable software.
2. Proceed through the installation wizard by clicking Next and accepting the terms and conditions.
3. When prompted to install Essentials for Python, select No (unless you intend to program in Python).
4. Complete the installation wizard until the installation process is finished.

License Activation

License Server:

1. Select Concurrent User License and click Next.
2. In the next window – License Management – enter the name of the license server: spss.lisens.ntnu.no.

Single-User License:

• If you require a single-user license, send an email to orakel@ntnu.no explaining why you need this type of license.
• You will receive an activation code for the single-user license.
• Select Authorized User License, click Next, and enter the activation code.

License Renewal

Before the expiration date of the single-user license, you must update the license code.

• Option 1: Open IBM SPSS Statistics xx License Authorization Wizard from the Start menu and enter a new authorization code.
• Option 2: Click File > Manage License from the menus in IBM SPSS Statistics.

Installation Guide

To install SPSS at NTNU, you may follow this step-by-step guide:

1. Log in to NTNU’s download portal:

• Go to the NTNU`s portal for downloadable software and log in using your Feide user.

2. Download SPSS:

• Locate SPSS in the list of available software.
• Click the download link to obtain the installation file. VPN is not required to download SPSS.

3. Extract the installation file:

• Use a tool such as 7zip to extract the file to a directory, for example, SPSS_Statistics_23.

4. Start the installation:

• Open the directory and run setup.exe to begin the installation.
• Follow the on-screen instructions to complete the installation.

5. Update the license code:

• After installation, open the License Authorization Wizard located with the program files.
• Copy the authorization code from the list of license codes and paste it into the program when prompted.

6. Complete the installation:

• Follow the final instructions to complete the installation and activate the license.

How to Renew an Existing License Before Expiration

To renew an existing SPSS license at NTNU prior to its expiration, please follow these steps:

1. Contact the IT Department:

• Send an email to orakel@ntnu.no stating that you need to renew your SPSS license. Be sure to include information about the version of SPSS you are using and the reason for the renewal request.

2. Obtain New License Codes:

• The IT department will provide you with new license codes that can be used to renew the license. These codes are typically sent via email.

3. Update the License Code in SPSS:

• Open SPSS and navigate to the Help menu.
• Select License Authorization Wizard.
• Follow the instructions to update the license code using the new code provided by the IT department.

4. Confirm the Renewal:

• After updating the license code, ensure that SPSS is functioning as expected and that the license has been successfully renewed.

Overview of Key Features in the Program

SPSS (Statistical Package for the Social Sciences) is a powerful tool for statistical analysis and data management. Below is an overview of some of the most important features in SPSS:

1. Data View: Used for entering and editing data. This is where you can import data from various sources, such as Excel, text files, and databases.
2. Output Viewer: Displays the results of statistical analyses. This window provides a comprehensive overview of the analyses and facilitates easy navigation between results.
3. Syntax Editor: Allows SPSS commands to be written directly in SPSS syntax. This enables saving and executing commands later, which is useful for repetitive analyses.
4. Descriptive Statistics: SPSS offers a range of tools for calculating descriptive statistics, including mean, median, standard deviation, and frequency distributions.
5. T-Tests: SPSS can perform various types of t-tests, including one-sample t-tests, paired t-tests, and independent samples t-tests.
6. Correlation Analysis: This tool is used to examine relationships between variables. SPSS can compute Pearson, Spearman, and Kendall’s tau correlations.
7. Regression Analysis: SPSS provides both linear and logistic regression for modeling the relationship between a dependent variable and one or more independent variables.
8. ANOVA (Analysis of Variance): SPSS can perform both one-way and multi-way ANOVA to test differences between group means.
9. Data Transformations: SPSS allows for data transformation, including recoding variables, computing new variables, and applying mathematical functions.
10. Graphical Representations: SPSS includes robust tools for creating graphs and charts, such as histograms, bar charts, box plots, and scatter plots.

Useful Resources for New Users

1. Metodeguiden: This website offers a comprehensive guide to using SPSS, including basic introductions, advanced tutorials on statistical modeling, and data interpretation. It is designed to be helpful for both students and experienced researchers, more information.
2. IA Blog: A complete user guide for IBM SPSS Statistics, covering everything from basic usage to complex analyses. This guide is valuable for understanding how to use SPSS effectively for data analysis.
3. Avenir Condominium: This site provides an overview of the benefits of using SPSS for survey data analysis and includes links to useful resources such as documentation and tutorials.

Official Documentation and User Manuals

To access official documentation and user manuals for SPSS, you may refer to the following resources:

From External Sources:

1. IBM SPSS Statistics 28 Documentation: IBM provides comprehensive documentation for SPSS Statistics 28, including installation guides, developer manuals, and technical specifications. This documentation is available on IBM’s official website.
2. Introduction to SPSS – NTNU: NTNU offers an introductory manual for SPSS that covers basic usage, creation of data files, editing, data presentation, and simple analyses. This manual is available as a PDF on NTNU’s website.
3. Introduction to SPSS – UiO: The University of Oslo (UiO) also provides an introductory manual for SPSS, which includes guidance on getting started with the software, including downloading and usage in PC labs or via the UiO kiosk.

List of Available Add-On Modules

Available add-on modules for SPSS:

1. Advanced Statistics

• Features: Includes advanced statistical methods such as Generalized Linear Mixed Models (GENLINMIXED), robust standard errors (GLM/UNIANOVA), and Bayesian statistics.
• Applications: Complex analyses for research and predictive modeling in the social sciences and business.

2. Regression

• Features: Supports linear, logistic, non-linear, and two-stage least squares regression.
• Applications: Predictive modeling and analysis of causal relationships.

3. Custom Tables

• Features: Enables users to create customized, publication-ready tables using drag-and-drop functionality, exportable to Microsoft formats or PDF.
• Applications: Data presentation in reports and publications.

4. Data Preparation

• Features: Automates data cleaning, identification of missing values, and data validation.
• Applications: Preparing large datasets for analysis.

5. Missing Values

• Features: Handles missing data by estimating values and analyzing patterns of missingness.
• Applications: Enhances accuracy in analyses involving incomplete datasets.

6. Forecasting

• Features: Time series analysis and predictive models for forecasting future trends.
• Applications: Market forecasting and strategic planning.

7. Decision Trees

• Features: Constructs classification and regression trees for prediction and identification of key variables.
• Applications: Data mining and market segmentation.

8. Neural Networks

• Features: Utilizes artificial intelligence to develop predictive models based on neural networks.
• Applications: Complex predictions in finance, marketing, and research.

9. Categories

• Features: Includes categorical regression procedures, correspondence analysis, non-linear canonical correlation, and optimal scaling.
• Applications: Analysis of categorical data and prediction involving non-linear relationships.

10. Complex Samples

• Features: Analyzes data from complex sampling designs, such as stratified or clustered samples.
• Applications: Large-scale surveys and epidemiological studies.

11. Exact Tests

• Features: Provides exact statistical tests for small datasets or datasets with rare events.
• Applications: High-precision analysis of small samples.

12. Bootstrapping

• Features: Tests the robustness of statistical estimates using bootstrap methods.
• Applications: Improves reliability of results in uncertain datasets.

13. Direct Marketing

• Features: Profiles customers, calculates propensity scores, and analyzes marketing campaigns.
• Applications: Market segmentation and campaign optimization.

14. AMOS

• Features: Structural Equation Modeling (SEM) and path analysis for testing complex relationships between variables.
• Applications: Psychology, social sciences, and organizational research.

15. Clementine (now SPSS Modeler)

• Features: Advanced data mining and machine learning tools for predictive analytics.
• Applications: Data mining in large datasets for business insights.

16. Text Analytics for Surveys

• Features: Analyzes unstructured text data from open-ended survey responses to extract insights.
• Applications: Qualitative analysis of survey responses.

Installing and Using SPSS Add-On Modules

To install add-on modules for SPSS, follow these steps:

1. Open SPSS

• Launch the SPSS application on your computer.

2. Access the License Authorization Wizard

• In SPSS, go to the Help menu and select License Authorization Wizard.

3. Enter the License Code

• Follow the instructions in the License Authorization Wizard to enter the license code for the add-on modules you wish to install. You do not need to install additional software to add new modules or features to SPSS (se BM Support).

4. Complete the Process

• After entering the license code, complete the process by following the on-screen instructions. This will activate the new features or modules in SPSS.

User Support

For technical support related to MATLAB at NTNU, contact the following:

1. NTNU IT, Orakel Services:

• IT support for students
• IT support for employees

2. SPSS Official Support

• IBM Support
• Crayon.com - Access requires authentication using an NTNU user account and two-factor authentication.
• Follow this link to find information about the designated technical contact. person for IBM.

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