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Psychometrics 2017-06-24T14:28:00+00:00

Psychometrics

Session 1: June 4 – 8, 2018
Albuquerque, NM – Embassy Suites


FAQVenue InfoHotel Reservations
$1,795 Faculty/Professional or $1,095 Student/Post-Doc

Payment Options
Per Course Qty
Professionalshow details + $1,795 (USD)  
Studentshow details + $1,095 (USD)  

Statistics Course 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 score reliability when classical test theory model is inadequate.
  • Acquire knowledge of how to apply item response theory for scaling test data.

Course Syllabus

Summer Stats Camp 2018: Psychometrics
Monday  June 4, 2018
9:00-10:45 Welcome and introduction to psychometrics
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Measurement and statistical concepts
12:30-1:30 Lunch Break
1:30-3:15 Scaling and types of scaling models
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Validity – then Individual Consultations
5:00~7:00 Social “hour” for Embassy Suites hotel guests
Tuesday  June 5, 2018
9:00-10:45 Validity (cont’d): Reliability – classical test theory (CTT) approach
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Reliability – classical test theory (CTT) approach (cont’d)
12:30-1:30 Lunch Break
1:30-3:15 Factor analysis – foundations & traditional approaches
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Factor analysis – (cont’d); Introduction to structural equation modeling approach; Individual Consultations
Wednesday  June 6, 2018
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)
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Item response theory (cont’d) then Individual Consultations
Thursday  June 7, 2018
9:00-10:45 Missing Data Analysis & Planned Missing Data Designs
10:45-11:00 Snack and Refreshment Break
11:00-12:30 Introduction to Measurement Invariance
12:30-1:30 Lunch Break
1:30-3:15 Measurement Invariance – structural equation modeling
3:15-3:30 Snack and Refreshment Break
3:30-5:00 Item Parceling – structural equation modeling; Individual Consultations
Friday  June 8, 2018
9:00-10:45 Introduction to Generalizability theory
10:45-11:00 Snack and Refreshment Break
10:30-12:30 Generalizability theory (cont’d); Introduction to Norms & Test Equating
12:30-1:30 Lunch Break
1:30-~3:30 Individual Consultations

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Course Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily

Statistical Methods Course Description

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.

Topics:

  • Measurement and statistical concepts
  • Scaling
  • Validity
  • Reliability
  • Analysis

Instructors: Larry Price & Todd D. Little

Larry is Professor of Psychometrics & Statistics and Director of the Initiative for Interdisciplinary Research design and Analysis (IIRDA) at Texas State University. Prior to joining Texas State University, he served as a Psychometrician and Statistician for the Emory University School Medicine, Department of Psychiatry & Behavioral Sciences from 1993 to 1999. Between 1999 and 2001, Dr. Price was employed at The Psychological Corporation in San Antonio, Texas as a Psychometrician/ Statistician II where he worked on the Wechsler Scales of Intelligence and Memory and other test of cognition, achievement and neuropsychology. In his role as Director of IIRDA, Dr. Price collaborates with interdisciplinary teams in conceptualizing and writing the analytic segments of largescale competitive proposals for National Institutes of Health, Institute of Education Sciences, National Science Foundation (CAREER and STEM), and Department of Defense.

Larry has a new book titled Psychometric Methods: Theory into Practice published by Guilford, June 2016.

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Todd LittleTodd is a professor of Educational Psychology and Leadership at Texas Tech University. Little is also the director of the Institute for Measurement, Methodology, Analysis, and Policy (IMMAP) at Texas Tech University.

Download CV (PDF)

 

Software and Computer Support
Course 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.

Course Files

Below are links to course files for those who enrolled in the course. Please download these files onto your computer before the first day of the course. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.

Click Here to Access Psychometrics Course Files

Psychometrics Statistical Methods Training Course