Applied Measurement with jMetrikjMetrik is a computer program for implementing classical and modern psychometric methods. It is designed to facilitate work in a production environment and to make advanced psychometric procedures accessible to every measurement practitioner. Applied Measurement with jMetrik reviews psychometric theory and describes how to use jMetrik to conduct a comprehensive psychometric analysis. Each chapter focuses on a topic in measurement, describes the steps for using jMetrik, and provides one or more examples of conducting an analysis on the topic. Recommendations and guidance for practice is provided throughout the book. |
Contents
1 Data Management | 1 |
2 Item Scoring | 13 |
3 Test Scaling | 26 |
4 Item Analysis | 40 |
5 Reliability | 53 |
6 Differential Item Functioning | 69 |
7 Rasch Measurement | 82 |
8 Polytomous Rasch Models | 98 |
9 Plotting Item and Test Characteristics | 108 |
10 IRT Scale Linking and Score Equating | 123 |
Appendix | 139 |
| 141 | |
| 147 | |
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Common terms and phrases
advanced item scoring answer key Basic item scoring binary items checkbox classical test theory coefficient alpha common item computed correct answer correlation create criterion-referenced test database default delete deviation ratio dialog distractor distribution example Figure fit statistics focal group FormY Ifyou indicate infit and outfit item analysis item characteristic curve item difficulty item discrimination item parameter table item response models item response theory jMetrik kappa statistics latent trait Likert scale linear transformation measurement methods missing data multiple norm-referenced test normal score observed scores odds ratio ofthe output panel partial credit model percentile ranks person ability person parameters plot polytomous items procedures Rasch model rating scale model raw score reference group response options run the analysis Scale Linking score equating standard deviation subset sum score test form test items test scaling test score text field threshold parameters true score variable name