Instructor: Mike Linacre, Ph.D.
Tutorial 1. Software Operation, Dichotomous Data, and Data-file construction
Winsteps software installation and operation
Basic reporting
Pathways and bubble charts
Prettifying reporting
Rasch concepts and fundamental measurement
Dichotomous model, probabilities and logarithms
Constructing data files with Excel, SAS, SPSS, Stata
Tutorial 2. Fit Analysis and Rating Scales
Rasch-Andrich rating scale model
Item-category average measures
Model and empirical item characteristic curves
Rasch fit statistics for dichotomies: Infit and Outfit
Mean-square and standardized fit statistics
Polytomous fit statistics
Scalograms
Tutorial 3. Partial Credit Scales, Reliability and Anchoring
Rasch-Masters partial credit model
Polytomous models for subsets of items
Category probability curves
Category descriptions and thresholds
Standard errors and reliability
Anchoring
Tutorial 4. Differential Item Functioning and Dimensionality
Differential test functioning
Differential item functioning (DIF)
Uniform DIF and non-uniform DIF
Investigating multi-dimensionality
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Instructor: Mike Linacre, Ph.D.
Please download data files: further-data.zip
Tutorial-Further 1. Analysis of dichotomous data
Winsteps software installation and operation
Analysis with missing data
Correlations and local fit-statistics
Item-person maps
Estimating measures from dichotomous data
Tutorial-Further 2. Analysis of polytomous data
Importing real, messy data from SPSS, SAS, Stata, Excel and more
Rescoring and cleaning up messy data
Polytomous models: Andrich rating-scale, Masters partial-credit, Grouped rating-scale
Polytomous estimation
Average measures and category thresholds
Tutorial-Further 3. Investigating test functioning
Anchoring (fixing) abilities, difficulties and rating-scale structures
Subtotals
Differential Item Functioning (DIF analysis)
Dimensionality
Tutorial-Further 4. Test equating
Test equating: separate and concurrent
Prettifying output
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Instructor: Mike Linacre, Ph.D.
Tutorial 1. Software operation and basic concepts
Facets 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
Tutorial 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
Tutorial 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
Tutorial 4. Anchoring
Connectivity, subset detection and remedies
Element anchoring and group anchoring
Prettifying output for communication
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