Modern Psychometrics The Science of Psychological Assessment.

Modern Psychometrics The Science of Psychological Assessment.

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Rust, John
Other Authors: Kosinski, Michal, Stillwell, David
Format: Electronic eBook
Language:English
Published: Milton : Taylor & Francis Group, 2020
Edition:4th ed.
Subjects:
Psychometrics.
Psychometrics
Local Note:ProQuest Ebook Central
Table of Contents:
  • Intro
  • Half Title
  • Title Page
  • Copyright Page
  • Contents
  • Preface to the fourth edition
  • 1. The history and evolution of psychometric testing
  • Introduction
  • What is psychometrics?
  • Psychometrics in the 21st century
  • History of assessment
  • Chinese origins
  • The ability to learn
  • The 19th century
  • Beginnings of psychometrics as a science
  • Intelligence testing
  • Eugenics and the dark decades
  • Psychometric testing of ability
  • The dark ages come to an end
  • An abundance of abilities
  • Tests of other psychological constructs
  • Personality
  • Integrity
  • Interests
  • Motivation
  • Values
  • Temperament
  • Attitudes
  • Beliefs
  • Summary
  • 2. Constructing your own psychometric questionnaire
  • The purpose of the questionnaire
  • Making a blueprint
  • Content areas
  • Manifestations
  • Writing items
  • Alternate-choice items
  • Advantages
  • Disadvantages
  • Multiple-choice items
  • Advantages
  • Disadvantages
  • Rating-scale items
  • Advantages
  • Disadvantages
  • All questionnaires
  • Knowledge-based questionnaires
  • Person-based questionnaires
  • Acquiescence
  • Social desirability
  • Indecisiveness
  • Extreme response
  • Designing the questionnaire
  • Background information
  • Instructions
  • Layout
  • Piloting the questionnaire
  • Item analysis
  • Facility
  • Discrimination
  • Distractors
  • Obtaining reliability
  • Cronbach's alpha
  • Split-half reliability
  • Assessing validity
  • Face validity
  • Content validity
  • Standardization
  • 3. The psychometric principles
  • Reliability
  • Test-retest reliability
  • Parallel-forms reliability
  • Split-half reliability
  • Interrater reliability
  • Internal consistency
  • Standard error of measurement (SEM)
  • Comparing test reliabilities
  • Restriction of range
  • Validity
  • Face validity
  • Content validity
  • Predictive validity
  • Concurrent validity
  • Construct validity
  • Differential validity
  • Standardization
  • Norm referencing
  • Types of measurement
  • Using interval data
  • Standard scores and standardized scores
  • T scores
  • Stanine scores
  • Sten scores
  • IQ scores
  • Normalization
  • Algebraic normalization
  • Percentile-equivalent normalization
  • Criterion referencing
  • Testing for competencies
  • Equivalence
  • Differential item functioning
  • Measurement invariance
  • Adverse impact
  • Summary
  • 4. Psychometric measurement
  • True-score theory
  • Identification of latent traits with factor analysis
  • Spearman's two-factor theory
  • Vector algebra and factor rotation
  • Moving into more dimensions
  • Multidimensional scaling
  • Application of factor analysis to test construction
  • Eigenvalues
  • Identifying the number of factors to extract using the Kaiser criterion
  • Identifying the number of factors to extract using the Cattell scree test
  • Other techniques for identifying the number of factors to extract
  • Factor rotation
  • Rotation to simple structure
  • Orthogonal rotation
  • Oblique rotation

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