Do you know about ICPSR, the treasure trove of data files?

ICPSR is the acronym of the Inter-University Consortium of Political and Social Research. But don’t let the title fool you. There is a wealth of data of interest to the College of Nursing community, including the Health and Medical Care Archive. This collection includes data files such as Chronic Illness and Caregiving, Community Tracking Study- Physician Survey and the Robert Wood Johnson Foundation Employer Health Insurance Survey.

How do I access ICPSR?

1. Start at the library homepage. Click Databases, A-Z and then choose ICPSR

2. In order to download data sets, you must register for a personal account. Click MyData Login/Create Account once you are in the database. Most of the data sets can be downloaded into SPSS for analysis.

3. Highly recommended: Data Use Tutorial.

Online Biennial ICPSR Meeting

The Biennial ICPSR Meeting will take place next week from Monday, Oct. 5 to Friday, Oct. 9. Please take a look at the program. This year’s meeting will be completely online, which means that you will be able to follow live presentations, ask questions and join online discussions from the comfort of your office.

No pre-registration is necessary! Log in via the Webinar Session Links in the program to join the online meeting at the time indicated.

Learn about  tools that support data analysis and about using data files such as the Longitudinal Study of Adolescent Health, the Integrated Fertility Study Series and much, much more.

Harness the power!

Bausell, R. B., & Li, Y-F. (2002). Power analysis for experimental research: A practical guide for the biological, medical and social sciences. Cambridge; New York: Cambridge U. Press.  2006 digital reprinting.
Available at Falvey: R 853.S7B375 2007

(From the back cover) “Power analysis is an essential tool for determining whether a statistically significant result can be obtained in a scientific experiment prior to the experiment being performed. Many funding agencies and Institutional Review Boards now require power analyses to be carried out before they will approve experiments, particularly when they involve the use of human subjects.”

This work will show you how to conduct power/sample size analyses, even if you have only a basic understanding prior knowledge of summary statistics.
_____________________________
For more information contact Barbara Quintiliano  (tel. x95207)