DIF Plot - Table 30.2
From the Output Tables menu, the DIF dialog is displayed.
Select what data point labels are is to be displayed on the Excel plot. In this case, the item entry number. The person classifications will be identified by their column codes. There are four Excel plots. You have the full Excel capabilities to edit the plot, and the Excel worksheet contains the plotted numbers. The Excel worksheets contain the plotted numbers.
DIF Measure (diff.)
reports the difficulty = (diff.) of the item for each person classification: DIF "local absolute" Measure = DIF "relative" Size + Overall "baseline" item difficulty
* indicates the baseline measures (no DIF), corresponding to the zero line (x-axis) in the DIF Size plot.
DIF Size (diff.)
reports the size of the item DIF for the person-classification relative to the overall "baseline" item difficulty.
DIF t-value (diff.)
reports a simple approximate t-test of the item DIF against the overall item difficulty. The t-statistic is the statistical probability of the DIF size relative to its measurement error expressed as an approximate unit-normal deviate. A critical values is usually ±2. This tests the hypothesis that the DIF size can be attributed to measurement error.
For a test of one group against another group, the joint t-value is usually around 70% of the difference between their t-values on the plot.
DIF Average Score-points
displays the average difference between the observed response and the expected response for each person person CLASS on each item.
Sort the section of the worksheet to change the left-to-right order of the items in the plots.
Edit the worksheet to change the words shown in the plots.
* is the baseline column for "everyone". These are the item difficulties on Table 14.
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|Rasch Measurement Transactions (free, online)||Rasch Measurement research papers (free, online)||Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch||Applying the Rasch Model 3rd. Ed., Bond & Fox||Best Test Design, Wright & Stone|
|Rating Scale Analysis, Wright & Masters||Introduction to Rasch Measurement, E. Smith & R. Smith||Introduction to Many-Facet Rasch Measurement, Thomas Eckes||Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments, George Engelhard, Jr. & Stefanie Wind||Statistical Analyses for Language Testers, Rita Green|
|Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar||Journal of Applied Measurement||Rasch models for measurement, David Andrich||Constructing Measures, Mark Wilson||Rasch Analysis in the Human Sciences, Boone, Stave, Yale|
|in Spanish:||Análisis de Rasch para todos, Agustín Tristán||Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez|
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|Jan. 5 - Feb. 2, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com|
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|April 10-12, 2018, Tues.-Thurs.||Rasch Conference: IOMW, New York, NY, www.iomw.org|
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|June 29 - July 27, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com|
|July 25 - July 27, 2018, Wed.-Fri.||Pacific-Rim Objective Measurement Symposium (PROMS), (Preconference workshops July 23-24, 2018) Fudan University, Shanghai, China "Applying Rasch Measurement in Language Assessment and across the Human Sciences" www.promsociety.org|
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