Here’s the first web course in the LITA spring 2016 offerings:
Which Test for Which Data: Statistics at the Reference Desk
<http://www.ala.org/lita/which-test-which-data>
Instructor: Rachel Williams, PhD student in the School of Library and
Information Studies at UW-Madison
Offered: February 29 – March 31, 2016
A Moodle based web course with asynchronous weekly content lessons,
tutorials, assignments, and group discussion.
Register Online, page arranged by session date (login required)
<http://www.ala.org/Template.cfm?Section=oloc&Template=/Conference/ConferenceList.cfm&ConferenceTypeCode=L>
This web course is designed to help librarians faced with statistical
questions at the reference desk. Whether assisting a student reading
through papers or guiding them when they brightly ask “Can I run a
t-test on this?”, librarians will feel more confident facing statistical
questions. This course will be ideal for library professionals who are
looking to expand their knowledge of statistical methods in order to
provide assistance to students who may use basic statistics in their
courses or research. Students taking the course should have a general
understanding of mean, median, and mode.
Takeaways:
* Develop knowledge related to statistical concepts, including basic
information on what the goals of statistical tests are and which
kinds of data scales are associated with each, with a focus on
t-tests, correlations, and chi-square tests.
* Explore different kinds of statistical tests and increase ability to
discern between the utility of different types of statistical tests
and why one may be more appropriate than another.
* Increase literacy in evaluating and describing statistical research
that uses t-tests, correlations, and chi-square tests.
* Improve confidence in answering questions about statistical tests in
a reference setting, including explaining tests and results and
assisting users in determining which statistical tests are
appropriate for a dataset. Helping others analyze graphical
representations of statistics.
Here’s the Course Page <http://www.ala.org/lita/which-test-which-data>
Rachel Williams is a PhD student in the School of Library and
Information Studies at UW-Madison. Rachel has several years of
experience in public and academic libraries and is passionate about
research design and methods. She has also taught courses at SLIS on
database design, metadata, and social media in information agencies.
Rachel’s research explores the constraints and collaborations public
libraries operate within to facilitate access to health information and
services for the homeless.
Dates:
February 29 – March 31, 2016
Costs:
* LITA Member: $135
* ALA Member: $195
* Non-member: $260
Technical Requirements:
Moodle login info will be sent to registrants the week prior to the
start date. The Moodle-developed course site will include weekly new
content lessons and is composed of self-paced modules with
facilitated interaction led by the instructor. Students regularly use
the forum and chat room functions to facilitate their class
participation. The course web site will be open for 1 week prior to the
start date for students to have access to Moodle instructions and set
their browser correctly. The course site will remain open for 90 days
after the end date for students to refer back to course material.
Registration Information:
Register Online, page arranged by session date (login required)
<http://www.ala.org/Template.cfm?Section=oloc&Template=/Conference/ConferenceList.cfm&ConferenceTypeCode=L>
OR
Mail or fax form to ALA Registration
<http://www.ala.org/lita/sites/ala.org.lita/files/content/learning/LITAWebCourseRegFormNov2014.pdf>
OR
call 1-800-545-2433 <tel:1-800-545-2433> and press 5
OR
email registrat...@ala.org <mailto:registrat...@ala.org>
Questions or Comments?
For all other questions or comments related to the course, contact LITA
at (312) 280-4268 <tel:%28312%29%20280-4268> or Mark Beatty,
mbea...@ala.org <mailto:mbea...@ala.org>
_/_/_/_/_/
Mark Beatty
Programs and Marketing Specialist
ALA/LITA
50 East Huron
Chicago, IL 60611
312.280.4268 <tel:312.280.4268>
mbea...@ala.org <mailto:mbea...@ala.org>
www.lita.org <http://www.lita.org>
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