Modern Psychometrics: The Science of Psychological Assessment 4th Edition By John Rust, Michal Kosinski, David Stillwell
eBook[PDF]

Modern Psychometrics: The Science of Psychological Assessment 4th Edition By John Rust, Michal Kosinski, David Stillwell

$26.00
✓ Secure checkout
✓ Instant digital download
✓ PDF document

Document details

Pages
195
File size
5.44 MB
Format
Digital PDF
Category
eBook[PDF]
About this ebook
Modern Psychometrics: The Science of Psychological Assessment (4th Edition) by John Rust, Michal Kosinski, and David Stillwell updates traditional testing methodologies for the modern digital era. Published by Routledge, the textbook bridges foundational psychological measurement theory with big data, artificial intelligence, and online behavior. [1, 2, 3]
The book is structured into theoretical foundations, practical test development guides, and cutting-edge digital assessment applications. [1, 2]
Core Theoretical Foundations
  • History of Testing: Evolution of 20th-century psychometric methods and regulatory frameworks.
  • Intelligence & IQ: Exploration of cognitive ability, aptitude, and achievement metrics.
  • Personality Assessment: Frameworks for measuring traits, clinical symptoms, moods, and attitudes.
  • Integrity & Ethics: The role of testing in selection and ensuring fairness against bias or racism.
  • Classical Test Theory (CTT): Core rules of reliability, validity, and standard measurement error. [1, 2, 3, 4]
Practical Test Construction Guide
  • Defining Purpose: Designing the initial scope, target criteria, and construct definitions.
  • Item Writing & Selection: Creating and refining questionnaire or test prompts.
  • Factor Analysis: Statistical structures utilized to isolate underlying psychological variables.
  • Standardization & Norms: Setting benchmarks for profiling and minimum competency testing.
  • Validation: Final validation procedures to ensure tests align to professional standards. [1, 2, 3, 4]
Digital & Computational Psychometrics (New Edition Focus)
  • Item Response Theory (IRT): Brand-new advanced mathematical modeling for item-level behavior.
  • Computer Adaptive Testing (CAT): Algorithms that adapt question difficulty in real time based on user answers.
  • Digital Traces & Footprints: Analyzing social media, internet behavior, and automated digital footprints.
  • AI & Big Data: Real-time psychometric analysis deployed at massive scale by AI systems.
  • Modern Controversies: Detailed exploration of online privacy and psychographic microtargeting. [1]

File included

PDF
tmpphp4XYVrL 5.44 MB

Topics

AI & Big Data: Real-time psychometric analysis aptitude and achievement metrics. Computer Adaptive Testing (CAT) data collection and data quality (validity/reliability) Defining Purpose: Designing the initial scope target criteria Digital & Computational Psychometrics Digital Traces & Footprints: Analyzing social media internet behavior Factor Analysis: Statistical structures utilized to isolate History of Testing: Evolution of 20th-century psychometric methods Integrity & Ethics: The role of testing in selection and ensuring fairness Intelligence & IQ: Exploration of cognitive ability Item Response Theory (IRT) Item Writing & Selection: Creating and refining questionnaire or test prompts. Modern Controversies: Detailed exploration of online privacy Personality Assessment: Frameworks for measuring traits Standardization & Norms: Setting benchmarks for profiling Validation: Final validation procedures to ensure tests align
Related ebooks