Mixed Methods for Psychological Measurement

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A01=David F. Feldon
advanced research methods
Author_David F. Feldon
Category=JHBC
Category=JMBT
construct validity
DIF
Differential item function
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eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Idiographic
Incommensurability
instrument validation
integrating qualitative and quantitative data
IPD
Item parameter drift
Latent modelling
Latent variable theory
Longitudinal Data Analysis
measurement invariance
Measurement theory
Mixed methods
Mixed methods research
Nomoethic
Phenomenography
psychological assessment
Psychometrics
qualitative data integration
QuantCrit
Realism

Product details

  • ISBN 9780367701291
  • Weight: 426g
  • Dimensions: 152 x 229mm
  • Publication Date: 21 Jun 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book presents a groundbreaking approach to measurement from a mixed methodological perspective, reframing the concept of incommensurability to harmonize qualitative and quantitative data in analyses.

It draws upon critical realism, latent variable theory, and phenomenography to illustrate how idiographic data can be incorporated into the development and validation of psychological measures. The text delves into foundational methodological assumptions, explores item and instrument validation techniques, and addresses issues of invariance. It further elucidates the application of idiographic strategies in conjunction with differential item function (DIF), item parameter drift (IPD), latent growth models, and the evaluation of measurement models. This innovative framework offers researchers robust tools for integrating diverse data types, enhancing the validity and reliability of their findings, and articulates ways in which these tools can be integrated into critical quantitative perspectives. It is an invaluable resource for anyone seeking to deepen their understanding of mixed methodologies and measurement.

It will appeal to scholars, researchers, and students whose goals are to integrate different modes of data, examine alternative perspectives on measurement, and apply new tools to psychological and social research.

David F. Feldon is a Professor of Instructional Technology and Learning Sciences in the Emma Eccles Jones College of Education and Human Services at Utah State University, USA.

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