Real, live reviews of Brian C. Cronk’s How to Use SPSS: A Step-By-Step Guide to Analysis and Interpretation by some of our patrons! This book, the Tenth Edition of this nine-chapter text published by Taylor and Francis, is ripe with walkthroughs, images, and simple explanations that demystifies the process of learning this statistical software. Also containing six appendixes, our patrons sang its praises after a two-hour research session here in the Scholarly Commons!
SPSS, described on IBM’swebpage as “the world’s leading statistical software used to solve business and research problems by means of ad-hoc analysis, hypothesis testing, geospatial analysis and predictive analytics. Organizations use IBM SPSS Statistics to understand data, analyze trends, forecast and plan to validate assumptions and drive accurate conclusions’ is one of many tools CITL Statistical Consulting uses on a day-to-day basis in assisting Scholarly Commons patrons. Schedule a consultation with them from 10 am to 2 pm, Monday through Thursday, for the rest of the summer!
We’re thrilled to hear this 2018 title is a hit with the researcher’s we serve! Cronk’s book, and so many more works on software, digital publishing, data analysis, and so much more make up our reference collection – free to use by anyone and everyone in the Scholarly Commons!
Exciting news for anyone interested in learning the basics of statistical and qualitative analysis software! Registration is open for workshops to be held throughout spring semester at the Center for Innovation in Teaching and Learning! There will be workshops on ATLAS.ti, R, SAS, Stata, SPSS, and Questionnaire Design on Tuesdays and Wednesdays in February and March from 5:30-7:30 pm. To learn more details and to register click here to go to the workshops offered by CITL page. And if you need a place to use these statistical and qualitative software packages, such as to practice the skills you gained at the workshops stop by Scholarly Commons, Monday-Friday 9 am- 6 pm! And don’t forget, you can also schedule a consultation with our experts here for specific questions about using statistical and qualitative analysis software for your research!
For some people, looking at a spreadsheet brings back bad memories of sixth grade Pre-Algebra classes and mediocre grades. Unlearning your fear of numerical data may take time and patience, but will ultimately leave you a better, well-rounded researcher. Here are a few tips on how to start the process of embracing numbers in your research and life.
Find data that interests you. If you weren’t someone with a heavy interest in math, the mere sight of an equation may make you shiver. That’s why it’s important to begin your journey with data by practicing with data that actually keeps you absorbed in your work. If you’re invested in the outcome, you’re more likely to put in the time and effort to learn skills and best practices that will ultimately make using data easier for you in the long run.
Start simple. Don’t try to learn R in a day. You’ll end up frustrated and discouraged. Take some time to survey your options, and start simple, with Excel and SPSS, for example. Each software has unique things that it can do, and figure out a system that works for you.
Just like any skill, learning how to handle and understand numerical data takes time and effort. But mastering data will add depth to your research, and allow you to present your findings in new, interactive ways.
The University of Illinois Center for Innovation in Teaching & Learning (CITL) has registration open for their fall line-up of workshops. These are the same workshops that have been offered by ATLAS in the past. The workshops show participants how to use statistical and qualitative analysis software, as well as social science data. Registration is free of charge to UIUC faculty, instructors, staff, and students. All workshops run from 5:30 to 7:30 PM, and all but the ATLAS.ti workshops will take place in room G8a in the Foreign Languages Building (the ATLAS.ti workshop’s location will be announced soon). This semester’s schedule is as follows:
This semester, ATLAS is conducting several short evening courses to show participants how to use statistical, GIS (geographic information systems), and qualitative software, as well as social science data. Statistical & GIS workshops are available to all University of Illinois faculty, instructors, staff, and students.
The Spring 2015 Workshop Schedule 02/24/2015 – ATLAS.ti 1: Introduction – Qualitative Coding 03/03/2015 – ATLAS.ti 2: Data Exploration and Analysis
02/11/2015 –ArcGIS 1: Introduction to ArcCatalog and ArcMap 02/18/2015– ArcGIS 2: Introduction to ArcToolbox
02/25/2015– SPSS 1: Getting Started with SPSS 03/04/2015– SPSS 2: Inferential Statistics with SPSS
03/11/2015– Stata 1: Getting Started with Stata 03/18/2015– Stata 2: Inferential Statistics with Stata
03/10/2015– SAS 1: Getting Started with SAS 03/17/2015– SAS 2: Inferential Statistics with SAS
02/10/2015 – R 1: Getting Started with R 02/17/2015– R 2: Inferential Statistics 04/01/2015 – R 3: R Studio
The college of LAS has recently purchased college-wide licenses for the online survey research tools: Surveygizmo and Qualtrics. These accounts are free to faculty and students. To request an account please use the following link: http://www.surveygizmo.com/s3/1781704/surveytool
9/24/2014 – ArcGIS 1: Introduction to ArcCatalog and ArcMap 10/01/2014 – ArcGIS 2: Introduction to ArcToolbox
10/07/2014 – SPSS 1: Getting Started with SPSS 10/142014 – SPSS 2: Inferential Statistics with SPSS
10/22/2014 – Stata 1: Getting Started with Stata 10/29/2014 – Stata 2: Inferential Statistics with Stata
10/21/2014 – SAS 1: Getting Started with SAS 10/28/2014 – SAS 2: Inferential Statistics with SAS
09/23/2014 – R: Getting Started with R 09/30/2014 – R 2: Inferential Statistics
11/04/2014 – Survey Research
Do you need help locating data for a project or thesis? Do you need assistance preparing your data for analysis? ATLAS holds Data Service hours in the Library’s Scholarly Commons (306 Main Library). For more information please visit: http://www.library.illinois.edu/datagis/