Rasch - Winsteps - Facets Online Courses: details | |
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| Online Course: Practical Rasch Measurement - Core Topics (Introductory level) Instructor: Mike Linacre, Ph.D. www.statistics.com/ourcourses/rasch1 for registration fee etc. Session 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 Session 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 Session 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 Session 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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Online Course: Practical Rasch Measurement - Further Topics (Intermediate/Advanced level) This Course is much more challenging than the Introductory Course Instructor: Mike Linacre, Ph.D. Prerequisite: Practical Rasch Measurement - Core Topics www.statistics.com/ourcourses/raschfurther for registration fee etc. Before taking this Course, please take the "Practical Rasch Measurement - Core Topics" Course Most participants report the Course level and pace to be "just right", but a few say "a bit advanced" and others say "too basic and too slow". Please inspect this Course curriculum carefully to decide whether this course is right for you. Session 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 Session 2. Analysis of polytomous data Importing real, messy data from SPSS, SAS, Stata, Excel and more Rescoring and cleaning up messy data Polytomous models Polytomous estimation Average measures and category thresholds Session 3. Investigating test functioning Subtotals Differential Item Functioning (DIF analysis) Dimensionality Session 4. Test equating Test equating: separate and concurrent Prettifying output |
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| Online Course: Many-Facet Rasch Measurement (Intermediate level) Instructor: Mike Linacre, Ph.D. www.statistics.com/ourcourses/facets for registration fee etc. Session 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 Session 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 Session 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 Session 4. Anchoring Connectivity, subset detection and remedies Element anchoring and group anchoring Prettifying output for communication |
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Comments by Participants in the "Core Topics" Course
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Comments by Participants in the "Further Topics" Course
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Comments by Participants in the "Many-Facet Rasch Measurement" Course, Oct 23 – Nov 20 , 2009
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Comments by Participants in an earlier "Many-Facet Rasch Measurement" Course
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