Psychometrics in Health Research

5-DAY COURSE
Psychometrics in Health Research:
An Overview of the Fundamentals
Essential skills for data quality
August 11-15, 2014
Psychometrics focuses on the quality of the data
used in health and social science research. It
concerns both the development of new measures or
tests and the evaluation of known measures in new
contexts, languages, cultures, and substantive subgroups. The aim of this course is to briefly introduce
the core sequence of psychometric topics with an
eye toward empowering researchers to assess their
psychometric data quality.
9am to 4pm daily
On-site location:
University of British Columbia,
Vancouver
Video conference locations
provided by WestGrid:
University of Victoria
University of Northern British
Columbia
University of British
Columbia, Okanagan
This week long course will begin with a description
of fundamental concepts in psychometrics (validity,
construct definitions, and test design) and then
build from that knowledge to learning about
dimensionality assessment to support scoring, item
analysis, error of measurement and reliability.
The course will conclude with a discussion of how a
measure operates in different groups and sub-groups
of respondents.
Throughout the course, participants will explore
the theory and applications of psychometric theory
with a focus on developing skills that will allow
participants to critically use these methods. Specific
data examples and case studies will be used to
contextualize the statistical concepts.
WHO SHOULD ATTEND?
Graduate students, researchers and faculty in the
health and social sciences as well as epidemiologists
and healthcare professionals interested in developing
and applying statistical modeling in their work.
> more information
INSTRUCTOR: Professor Bruno Zumbo
FEES
Measurement, Evaluation, Research Methodology
Program and Department of Statistics, University of
British Columbia
$750 regular rate
Professor Zumbo has research experience in both
theoretical and applied psychometrics and statistical
science. His research interests include procedures
for evaluating variable importance in statistical
models; performance characteristics of standard
procedures (both parametric and nonparametric)
under non-standard conditions; measurement
theory (including axiomatic measurement theory,
classical test theory and item response modeling),
educational measurement and the foundations of
statistics. He has developed a secondary research
program on measurement, program evaluation and
methodological issues in quality of life, subjective
well-being and social science research.
$600 graduate student rate – limited seating
Group rates available – ask for details
For further details regarding registration and
information contact:
Ann Greenwood, Lead, Education and Training Unit
Population Data BC
Email: [email protected]
Phone: 250-853-3285
www.popdata.bc.ca/events/PHR_Aug2014
5-DAY COURSE
Psychometrics in Health Research: An Overview of the Fundamentals
Essential skills for data quality
LEARNING OBJECTIVES
COURSE FORMAT
In this intermediate level course participants will:
The course will consist of short lecture presentations,
group discussions and hands-on data analysis
exercises using training data and the R software
system. Course activities will be designed to cover
theoretical concepts in the morning sessions and
applied hands-on data analysis exercises in the
afternoons. This course covers many key topics and
is therefore intended to give participants an overview
of the various methods.
•
•
•
•
Learn about construct theory and mapping
Learn about scoring and factor analysis
Learn about item analysis
Develop skills to aid in the selection of key
measures and tests
• Develop skills to study the psychometric
properties (validity and reliability) of the
measures used in your research.
Together these skills will help you develop stronger
measures and tests that are psychometrically sound.
WORKSHOP OUTLINE
Day one – Introduction to measurement and R
(software)
• Introduction to constructs and validity; with an
eye to contextualizing the work of psychometrics
in a research agenda
• Introduction to R for psychometrics
Day two – Dimensionality analysis and scoring
• Fundamentals of Exploratory and Confirmatory
Factor Analysis for EFA and CFA in R
Day three – Item analysis
• Fundamentals of Item Response Models
• IRT in R
Day four – Error of measurement, reliability and test
information
• Classical and ordinal reliability theory
• The use of Item Response Models to get
conditional standard errors of measurement; test
information
• Examples using R
ADDITIONAL MATERIALS/SOFTWARE
REQUIREMENTS
15 laptops with Windows XP and the R software
are available for participant use at the UBC on-site
location for this course.
Additional site locations at UVic, UNBC and UBC
Okanagan will connect via Video Conference.
Students attending at these sites will be required to
bring their own laptops with R software loaded.
All students will be provided with electronic copies
of course notes and training data for loading onto
laptops prior to the start of the course.
PRE-REQUISITES
This is an intermediate level course therefore
participants will be expected to have some
introductory knowledge of hypothesis testing,
statistical power, correlation coefficients, and simple
bivariate regression. Previous knowledge in and/or
work with regression is helpful but not required.
Day five – Test bias and measurement invariance
• Multigroup CFA and multigroup EFA
• Differential item functioning
• Examples using R
www.popdata.bc.ca/events/PHR_Aug2014

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