Suni Kappal posts his list of the most common basic analytical and statistical mistakes. He divides his list into visualization errors and statistical blunders. See his blog entry at http://www.datasciencecentral.com/profiles/blogs/the-most-common-analytical-and-statistical-mistakes
Google has updated its learning management system (LMS), Google Classroom, with new features for differentiated instruction, management of student work and analytics.
As a result of the update, teachers will be able to share assignments, questions or posts with an individual student, a small group or the entire classroom in a move designed to make it easier to differentiate instruction based on individual student needs.
For administrators, the new update will bring Classroom data to Admin Console Reports. Administrator users will now be able to see Classroom metrics on usage, how many posts are being created overall or by individual users.
The company has also updated the Classroom API to improve integrations with other tools, allowing them to “programmatically add materials to coursework or student submissions and can modify existing coursework they’ve created,” according to information released by Google.
More information about that investigation is available at google.com.
Libraries spend considerable amounts of money licensing different types of online content to support their users’ needs. User activity, in relation to this content, needs to be continually assessed to ensure that this money is spent as productively as possible.
COUNTER sets and maintains the standard known as the Code of Practice and ensures that publishers and vendors submit annually to a rigorous independent audit. This ensures that librarians are able to compare usage statistics from different vendors; derive useful metrics such as cost-per-use; make better-informed purchasing decisions; and plan infrastructure more effectively.
Libraries and library consortia are invited to support COUNTER by joining as a member.
Usus is a community website on library usage, supported by COUNTER.
Here are two articles to help you conduct hypothesis testing:
Tableau conducted to catalogue the state of analytics education in the United States. In addition to providing a comprehensive listing of analytics programs, this study explores questions such as:
- How accessible is analytics education to American college students?
- Where do gaps in analytics programs remain?
- How are analytics programs adapting to meet changing demands?
Download the full report to see how your institution stacks up.
ALA is offering two 90-minute webinar sessions by Emily Daly and Joyce Chapman on using surveys to improve libraries. The workshops will be held February 1 and 8 at 2:30pm Eastern. The cost is $75. For details, go to http://www.alastore.ala.org/detail.aspx?ID=11894&zbrandid=4634&zidType=CH&zid=39911004&zsubscriberId=1026813538&zbdom=http://ala-publishing.informz.net
The Canadian journal Evidence Based Library and Information Practice shares research that informs professional library practice. The winter 2016 issue (https://ejournals.library.ualberta.ca/index.php/EBLIP) exemplifies this mission, having several data-based articles:
Lynn Easton , Scott Adam , Trish Durnan , Lorraine McLeod
Manish Saraswat introduces crucial concepts of regression analysis with practice in R. The article focuses on linear and multiple regression: http://www.datasciencecentral.com/profiles/blogs/beginners-guide-to-regression-analysis-and-plot-interpretations
The International Federation of Library Associations and Institutions held a satellite workshop on data in libraries. PPTs from that event are available at http://www.ifla.org/academic-and-research-libraries/conferences
An archive of all O’Reilly data ebooks is available at http://www.datasciencecentral.com/profiles/blogs/80-free-data-science-books for free download. Dive deep into the latest in data science and big data, compiled by O’Reilly editors, authors, and Strata speakers.
Here is a collection of a few excellent (and free!) statistics eBooks for your Kindle. Read more at http://www.datasciencecentral.com/profiles/blogs/5-free-statistics-ebooks-you-need-to-read-this-autumn