Download Psychometrics

Psychometrics
Stats Camp 2016
Professors:
Larry R. Price, Ph.D., PStat
Todd D. Little, Ph.D.
Professor, Psychometrics/Statistics Professor, Educational Psychology
Texas State University
Texas Tech University
Phone:
Email:
210.643.1567
[email protected]
785.550.1641
[email protected]
Days/Times: Monday June 6 through Friday June 10 - 9:00am – 5:00pm
Course Overview
Psychometrics is defined as the science of evaluating the characteristics of tests or other devices
designed to measure psychological attributes of people. Tests are broadly defined as devices for
measuring ability, aptitude, achievement, attitudes, interests, personality, cognitive functioning, and
mental health. Application of psychometrics to psychology and social/behavioral science constitutes
an organized effort to (a) develop and test theory-based measurement procedures for the development
of tests and other measurement instruments/devices and (b) advance knowledge in psychological and
sensory processes. Topics covered in this course include (a) measurement and statistical concepts, (b)
scaling, (c) validity, (d) reliability, (e) factor analysis, (f) measurement invariance, including item and
test bias and the role each plays in test fairness, (g) introduction to item response theory, (h)
introduction to generalizabilty theory, (i) survey of advanced topics in psychometrics, and (j)
developing norms and conducting test score equating.
Objectives
The five day training institute on Psychometrics will enable participants to:

Acquire a basic understanding of psychometrics as applied to social and behavioral sciences.

Develop a clear understanding of the conceptual basis of measurement and statistical concepts
specific to psychometrics.

Acquire knowledge of how to properly apply psychometric techniques such as item analysis,
scaling, score reliability, statistical validity.

Gain knowledge of how to apply factor analysis using traditional and structural equation
modeling approaches.

Gain knowledge of how to apply generalizability theory for estimating variance components
and score reliability when classical test theory model is inadequate.

Acquire knowledge of how to apply item response theory for scaling test data.
Psychometrics Page 2

Acquire knowledge about the process of developing norms and equating scores from different
test forms.

Gain knowledge of selected advanced topics in psychometrics such measurement
invariance/differential item and test functioning, conditional standard errors of measurement
and conditional reliability and factorial invariance.
Audience
This course is ideal for persons wishing to broaden their understanding of the core
principles/techniques used in psychometrics and the application of psychometric methods to practical
testing or research problems. Participants should have a working knowledge of the principles and
practice of multiple regression and elementary statistical inference. Participants from a variety of
fields, including sociology, psychology, education, human development, marketing, business,
biology, medicine, political science, and communication, will benefit from the course.
Daily Schedule
Stats Camp 2016: Psychometrics
Monday
9:00-10:45
10:45-11:00
11:00-12:30
12:30-1:30
1:30-3:15
3:15-3:30
3:30-5:00
5:00-8:30
Tuesday
9:00-10:45
10:45-11:00
11:00-12:30
12:30-1:30
1:30-3:15
3:15-3:30
3:30-5:00
Welcome and introduction to psychometrics
Snack and Refreshment Break
Measurement and statistical concepts
Lunch Break
Scaling and types of scaling models
Snack and Refreshment Break
Validity – then Individual Consultations
Social hour and dinner for all Stats Camp attendees!
Validity (cont’d): Reliability – classical test theory (CTT) approach
Snack and Refreshment Break
Reliability – classical test theory (CTT) approach (cont’d)
Lunch Break
Factor analysis – foundations & traditional approaches
Snack and Refreshment Break
Factor analysis – (cont’d); Introduction to structural equation modeling
approach; Individual Consultations
Wednesday
9:00-10:45
Factor analysis – CFA using structural equation modeling; second-order
CFA, bi-factor models using structural equation modeling
10:45-11:00
Snack and Refreshment Break
11:00-12:30
Introduction to item response theory (IRT)
12:30-1:30
Lunch Break
1:30-3:15
Item response theory (IRT) – (cont’d)
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3:15-3:30
3:30-5:00
Thursday
9:00-10:45
10:45-11:00
11:00-12:30
12:30-1:30
1:30-3:15
3:15-3:30
3:30-5:00
Friday
9:00-10:45
10:45-11:00
10:30-12:30
12:30-1:30
1:30-~3:30
Snack and Refreshment Break
Item response theory (cont’d) then Individual Consultations
Missing Data Analysis & Planned Missing Data Designs
Snack and Refreshment Break
Introduction to Measurement Invariance
Lunch Break
Measurement Invariance - structural equation modeling
Snack and Refreshment Break
Item Parceling - structural equation modeling; Individual Consultations
Introduction to Generalizability theory
Snack and Refreshment Break
Generalizability theory (cont’d); Introduction to Norms & Test Equating
Lunch Break
Individual Consultations