Description
Book SynopsisIntroduction: Technology as a Driver of the Evolution of International Large-Scale Assessments: Chapter 1: Introduction: Technology as a Driver of the Evolution of International Large-Scale Assessments: Constructs, Frameworks and the Psychometric Qualities of Test Results.- Advances in Test Development, Design and Data Collection: Chapter 2: Innovations in Item Development for Computer-Based International Assessments.- Chapter 3: Innovative Digital Reading Assessment for Fourth Grade Students: IEA’s PIRLS 2021.- Chapter 4: New Constructs and Item Types in Large-Scale Assessments.- Chapter 5: Improved Test Designs and Multistage Adaptive Testing in Large-Scale Assessments.- Chapter 6: Controlling for Item Position Effects when Adaptive Testing is Used in Large-Scale Assessments.- Chapter 7: The Digital Testing Platform for PIAAC and PISA.- Innovations in Translation, Data Processing, and Scoring: Chapter 8: Translation in Computer-Based International Large-Scale Assessments: Not a Stand-Alone Component.- Chapter 9: Psychometric Forensics to Maintain and Improve Data Quality in Large-Scale Assessments.- Chapter 10: Tools and Platforms for the Improvement of Coder Reliability – OERS and OECS.- Chapter 11: Automated Coding of Open-Ended Response Items – Possibilities and Challenges.- Chapter 12: Automatic Scoring of Constructed Responses in PISA using the Machine-Supported Coding System.- Chapter 13: Automatically Coding PISA Text Responses.- New and Advanced Methodologies for Analyzing Response and Process Data from Digital-Based Large-Scale Assessments: Chapter 14: Linking International Large-Scale Assessments over Time and Administration Modes – Scaling Linking, and Mode Effects in PISA 2015.- Chapter 15: Effects of Mode Transition on Instruments and Subpopulation Performance in NAEP.- Chapter 16: Approximate Standard Errors for NAEP Results That Incorporate Linking Error Under the Random Group Design.- Chapter 17: Scoring and Scaling Items from Innovative Domains.- Chapter 18: Preparing and Analyzing Log and Process Data in Large-Scale Assessments.- Chapter 19: Using Response Times for Improving the Understanding and Handling of Missing Responses in Low-Stakes Assessments.- Chapter 20: Incorporating Timing Data into PISA Population Modeling.- Chapter 21: Modeling Item Responses with Response Times as Collateral Information in Large-Scale Educational Assessments.- Chapter 22: Extreme Response Style and Rapid Responding: Two Sides of the Same Medallion? A Joint Modeling Approach using IRTree and Mixture IRT Models.- Chapter 23: Analyzing Test-Taking Behaviors Through Process Data Using the IRT Explanatory Model for Guessing.- Software Tools for Analyzing Large-Scale Assessment Data: Chapter 24: The IEA’s IDB Analyzer.- Chapter 25: The Data Explorer.- Chapter 26: Statistical Tools for Analyzing Data from Large-Scale Assessments in Education.- Chapter 27: Software-Tools for Analyzing Log Data.- Chapter 28: Analyzing Large-Scale Assessment Data in R: EdSurvey.- The Future of International Large-Scale Assessments: Chapter 29: What Role is there or International Large-Scale Assessments in an Age of Rapid Technological Change?.- Chapter 30: Looking at International Large-Scale Assessments from an IEA Perspective: Understanding their History and Some Predictions for the Next Twenty Years.
