Online course “Many-Facet Rasch Measurement”
will cover the analysis and
interpretation of judge-intermediated ratings, like essay grading, Olympic
ice-skating, therapist ratings of patient behavior, etc. Specifically, you will
learn how to assess whether raters function (as desired) interchangeably, or whether
they differ systematically in ways that can impair the overall rating system.
Dr. Everett V. Smith, Jr will present his
course “Many-Facet Rasch Measurement” online at Statistics.com. For more
details please visit at Many-Facet Rasch Measurement.
Who can take this course:
Researchers and analysts in education,
psychology, medicine and other fields who deal with data that include ratings
from human judges.
Course Program:
Course outline: The course is structured as follows
WEEK 1: Software Operation and Basic Concepts
- Software
installation and operation
- Facets,
elements, persons, items, raters
- Data
entry methods, including using Excel
- Rasch
measurement concepts
- Dichotomous
and polytomous models
- Rasch
measures and measurement rulers
WEEK 2: Fit Analysis and Measurement Models
- A
two-facet dichotomous analysis
- Observations,
measures, expectations and residuals
- Mean-square
and standardized fit statistics
- Outfit
and Infit statistics
- A
three-facet polytomous analysis
- Reliability,
separation and inter-rater reliability
- Rating
scale structures
WEEK 3: Estimation and Interactions
- A
four-facet polytomous analysis
- Missing
data
- Bias/interaction
analysis
- Graphing
interactions with Excel
- Recoding
the data
- Interactions
with dummy facets
WEEK 4: Anchoring
- Subset
detection and remedies
- Anchoring,
linking and equating
- Judging
plan and Generalizability Theory
- Prettifying
output for communication
The instructor is, Dr. Everett V. Smith Jr.,
Professor of Educational Psychology at the University of Illinois at Chicago,
and co-editor of "Introduction to Rasch Measurement: Theory, Models, and
Applications," "Rasch Measurement: Advanced and Specialized
Applications," and more. He serves as the Associate Editor for the
"Journal of Applied Measurement" and is on the editorial boards of
"Educational and Psychological Measurement" and the "Journal of
Nursing Measurement."
You will be able to ask questions
and exchange comments with the instructors via a private discussion board
throughout the course. The courses take place online at
statistics.com in a series of 4 weekly lessons and assignments, and require
about 15 hours/week. Participate at your own convenience; there are no
set times when you must be online. You have the flexibility to work a bit every
day, if that is your preference, or concentrate your work in just a couple of
days.
For Indian participants
statistics.com accepts registration for its courses at special prices in Indian
Rupees through its partner, the Center for eLearning and Training (C-eLT),
Pune.
Call:
020 66009116
Websites:
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