*Applied Item Response Theory (IRT) in R - a practical two-day workshop*
*Date: *1-2 May 2019
*Location: *Research Institute for Primary Care and Health Sciences, David
Weatherall Building, Keele University, ST5 5BG
*Cost:* £395 (Student), £495 (Public sector), £595 (Commercial/Industry).
Early bird rates apply if booked before February 28th (see website), full
cost thereafter. Price includes lunch. Accommodation is not included.
*Tutors: *Led by Dr Gareth McCray, Dr Sara Muller, Kieran Bromley and
Professor Gillian Lancaster
Many measurement instruments are questionnaire based and comprise of a
number of items with binary (eg. yes/no, pass/fail) or polytomous (eg.
always, sometimes, never) responses designed to measure an underlying
latent construct eg. child development, pain intensity or depression. Item
response theory is an integrated psychometric framework for developing and
scoring measures or tests.
This course is for researchers, epidemiologists, psychologists, and
statisticians who need to create scores from questionnaire-type measures or
who deal with these types of measures. As it is an applied course, it aims
to cater for individuals with familiarity in either testing and measurement
and/or statistics.
The two-day course will enable participants to carry out a variety of
practical analyses using IRT in the R programming environment. We will
work up to IRT models from Classical Test Theory (CTT) models comparing the
advantages and disadvantages of each paradigm. Students will leave the
course with the knowledge to begin using IRT to analyse their data in the R
software package.
*WHO IS IT SUITABLE FOR?*
The course is for individuals who want to learn how to analyse categorical
data taken from questionnaire-type measures intended to yield a single
score. We specifically focus on binary or polytomous clinical response
data. We recommend participants have a basic familiarity of applied
statistical methods, as well as some understanding of psychometric
properties such as reliability and validity. We also recommend that
participants are familiar with R, although the practicals will not require
individuals to write their own code. Participants will need to bring a
laptop with R installed.
To register and for more information please go to:
https://estore.keele.ac.uk/conferences-and-events/faculty-of-medicine-and-health-sciences/primary-care-health-services/course/2019-applied-item-response-theory-irt-in-r-a-practical-twoday-workshop
*Deadline for registration: *15 April 2019
--
Gillian Lancaster, Professor of Medical Statistics
Room 1.54a, Keele Clinical Trials Unit (CTU) and
Research Institute for Primary Care & Health Sciences,
Keele University, Staffordshire, ST5 5BG
Tel: 01782 732925
Fax: 01782 733911
PA Christina Farrall
[log in to unmask]
Tel: 01782 732929
Editor-in-Chief, Pilot and Feasibility Studies (
www.pilotfeasibilitystudies.biomedcentral.com)
Head of Biostatistics Group
https://www.keele.ac.uk/pchs/research/biostatistics/
https://www.keele.ac.uk/kctu/
Please consider the environment before printing this email.
This email and its attachments are intended for the above named only and may
be confidential. If it has come to you in error you should not copy or show
it to anyone; nor should you take any action based on it, other than to
notify the sender of the error by replying to the sender. Keele University
staff and students are required to abide by the University's conditions of
use when sending e-mail. Keele University email is hosted by a cloud
provider and may be stored outside of the UK.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|