Version 1 – 34th Annual

Users Group Meeting

Version 1 at the 34th Annual IBM SPSS Statistics Users Group Meeting

The 34th annual IBM SPSS Statistics Users Group Meeting will occur on Friday, October 18th, 2024, in the lecture theatre at the MRC Cognition and Brain Sciences Unit, University of Cambridge. The Version 1 SPSS Team will present at this meeting. Our presentation will highlight recent updates in IBM SPSS Statistics and the additional procedures (Extensions) that extend SPSS’s capabilities.

We will explore practical changes to the user interface. The most notable changes include the Overview tab, which offers a comprehensive visual and statistical overview of your data. There are new options for modifying output and improved search functions. The Welcome Dialog allows users to search for new features while working in SPSS.

Discussions on the latest additions to statistical procedures, including the addition of Percentiles in the Descriptive Statistics menu, the PRESS statistic for Linear Regression, Youden’s Index for ROC curves, the computation of multiple time-dependent covariates in Cox Regression, and Parametric Survival Regression models for recurrent events.

Additionally, we will cover Extensions in IBM SPSS Statistics. Extensions add analytical, data manipulation, presentation, utility, and visualization procedures to SPSS. For example, there are over sixty additional analytical procedures that users can download and install into SPSS. We will review how to download and install these extensions, browse the Extension Hub, and filter by procedure type, language, and state.

“Version 1 seems to be a company of the right size to be able to give good service to people in my position. Not too small to have resources and not too big to be too formal and procedure-driven. The people I deal with are helpful and know their stuff. I’m very happy with Version 1.”

Peter Armstrong, Business Support Manager CiCS University of Sheffield

“They are very quick to respond to any queries, issues and the support is exceptional. The responses are always very quick and easy to understand.”

Lisa Rowley, Software Asset Management Officer University of Wolverhampton

“They provide a good prompt response to queries. They are friendly and effective.”

Peter Harrison Brunel University

“Version 1 are always quick with a response to my e-mails and are always really helpful in supplying me with software, license keys and any information that I require.”

Jane Murphy, Application Manager King’s College London

“Excellent response to my (many) queries by extremely knowledgeable & helpful staff.”

Keith Wood, IT Purchasing & Supplier Relationship Manager City University of London

“Quick, efficient responses to queries and always looking to assist with our problems. “

Graeme Smith, IT Development Manager Heriot Watt University

7 total results

Image of three women working on laptops at a table for Version 1 SPSS Training
Case Study

Case Study – Wimbledon High School

The Racket Research Club at Wimbledon High School was given license to use a dataset from All England Lawn Tennis Club (The Championships, Wimbledon) for the purposes of educational analysis and interpretation. Given the scale and size of the dataset, the school was very keen for the girls at Racket Research Club to work with the data to support class and project work and gain valuable data analytics experience. Working with Version 1 and using SPSS software, the school has been able to achieve this objective and expand the scope of their Big Data Research Clubs, including their students in more real-life data science projects offering an unrivalled level of insight and experience.

Case Study

Case Study – Wichita University

Data describing students was housed in separate data “silos” that were difficult to integrate. This forced the administration of Wichita State University to rely on tradition and intuition to make critical decisions. IBM SPSS Statistics software allows administrators to make evidence-based decisions.

SPSS Academia
Case Study

Case Study – University of Western Sydney

The University of Western Sydney (UWS) wanted to ensure that as many of its students as possible reach graduation – helping them achieving their academic goals, and protecting its own finances. Student attrition is one of the biggest threats to this objective. To reduce the risk of attrition, UWS is using analytics to predict when a student is likely to leave, assess the cause, and trigger appropriate interventions to encourage them to stay.