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Module 01: Performance Assessment

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Module 02: Classroom Assessment II: Weighting Student Scores

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Module 03: Classroom Assessment III: Reliability of Teacher-made Tests

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Module 04: Classroom Assessment IV: Formula Scoring of Multiple-choice Tests

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Module 05: Classroom Assessment V: Program Curriculum Evaluations

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Module 06: Linking and Equating I: CTT Methods

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Module 07: Dichotomous IRT Models I: A Comparison

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Module 08: CTT Foundations I: Reliability

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Module 09: CTT Foundations II: Standard Error of Measurement

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Module 10: Linking and Equating II: IRT Methods

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Module 11: Classroom Assessment VI: Portfolio Assessment

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Module 12: Classroom Assessment VII: Quality Improvements

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Module 13: Classroom Assessment VIII: Personal Grading Plans

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Module 14: Modeling Frameworks I: Generalizability Theory

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Module 15: Classroom Assessment IX: Term Papers and Written Reports

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Module 16: Modeling Frameworks II: Comparison of CTT and IRT

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Module 17: Procedures I: Item Bank Development

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Module 18: Standard-setting I: Traditional Methods

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Module 19: Differential Functioning I: Methods for DIF Detection

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Module 20: Modeling Frameworks III: Rule-space Methodology

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Module 21: Modeling Frameworks IV: Multidimensional IRT Models

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Module 22: Standard-setting II: Contemporary Methods

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Module 23: Special Topics I: Practice Questionnaires for Credentialing Exams

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Module 24: Procedures II: Quality-control in Testing

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Module 25: Procedures III: Multi-stage Testing

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Module 26: Modeling Frameworks V: Structural Equation Modeling

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Module 27: Procedures IV: Markov-chain Monte Carlo Estimation

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Module 28: Differential Functioning II: Raju’s DFIT Test

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Module 29: Differential Functioning III: Steps for Polytomous Items

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Module 30: Procedures V: Booklet Designs in Large-scale Assessment

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Module 31: Scaling I: Overview of Procedures

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Module 32: Subscores I: A Statistical Overview

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Module 33: Linking and Equating III: Population Invariance

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Module 34: Assessment Procedures VI: Automated Item Generation

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Module 35: Polytomous IRT Models I: Overview of Models

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Module 36: Scaling II: Quantifying Error and Uncertainty Reductions

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Module 37: Subscores II: Item Removal Guidelines

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Module 38: Subscores III: Predicting Subscore Value

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Module 39: Polytomous IRT Models II: Problems with Step Metaphor

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Module 40: Dichotomous IRT Models II: Item Fit Statistics

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Module 41: Differential Functioning IV: Latent DIF in Mixture IRT Models

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Module 42: Assessment Procedures VII: Simulation Studies

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Module 43: Modeling Frameworks VI: Data Mining for Classification & Regression

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Module 44: Assessment Procedures VIII: Quality-control II

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Module 45: Modeling Frameworks: Mokken-scale Analysis

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Title
Module 01: Performance Assessment
Module 02: Classroom Assessment II: Weighting Student Scores
Module 03: Classroom Assessment III: Reliability of Teacher-made Tests
Module 04: Classroom Assessment IV: Formula Scoring of Multiple-choice Tests
Module 05: Classroom Assessment V: Program Curriculum Evaluations
Module 06: Linking and Equating I: CTT Methods
Module 07: Dichotomous IRT Models I: A Comparison
Module 08: CTT Foundations I: Reliability
Module 09: CTT Foundations II: Standard Error of Measurement
Module 10: Linking and Equating II: IRT Methods
Module 11: Classroom Assessment VI: Portfolio Assessment
Module 12: Classroom Assessment VII: Quality Improvements
Module 13: Classroom Assessment VIII: Personal Grading Plans
Module 14: Modeling Frameworks I: Generalizability Theory
Module 15: Classroom Assessment IX: Term Papers and Written Reports
Module 16: Modeling Frameworks II: Comparison of CTT and IRT
Module 17: Procedures I: Item Bank Development
Module 18: Standard-setting I: Traditional Methods
Module 19: Differential Functioning I: Methods for DIF Detection
Module 20: Modeling Frameworks III: Rule-space Methodology
Module 21: Modeling Frameworks IV: Multidimensional IRT Models
Module 22: Standard-setting II: Contemporary Methods
Module 23: Special Topics I: Practice Questionnaires for Credentialing Exams
Module 24: Procedures II: Quality-control in Testing
Module 25: Procedures III: Multi-stage Testing
Module 26: Modeling Frameworks V: Structural Equation Modeling
Module 27: Procedures IV: Markov-chain Monte Carlo Estimation
Module 28: Differential Functioning II: Raju’s DFIT Test
Module 29: Differential Functioning III: Steps for Polytomous Items
Module 30: Procedures V: Booklet Designs in Large-scale Assessment
Module 31: Scaling I: Overview of Procedures
Module 32: Subscores I: A Statistical Overview
Module 33: Linking and Equating III: Population Invariance
Module 34: Assessment Procedures VI: Automated Item Generation
Module 35: Polytomous IRT Models I: Overview of Models
Module 36: Scaling II: Quantifying Error and Uncertainty Reductions
Module 37: Subscores II: Item Removal Guidelines
Module 38: Subscores III: Predicting Subscore Value
Module 39: Polytomous IRT Models II: Problems with Step Metaphor
Module 40: Dichotomous IRT Models II: Item Fit Statistics
Module 41: Differential Functioning IV: Latent DIF in Mixture IRT Models
Module 42: Assessment Procedures VII: Simulation Studies
Module 43: Modeling Frameworks VI: Data Mining for Classification & Regression
Module 44: Assessment Procedures VIII: Quality-control II
Module 45: Modeling Frameworks: Mokken-scale Analysis