Reliability

William R Revelle, David M Condon

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Separating signal from noise is the primary challenge of measurement and is the fundamental goal of all approaches to reliability theory. Reliability is the ability to generalize about individual differences across alternative sources of variation. Generalizations within a domain of items use internal consistency estimates. This chapter examines reliability to estimate the true score given an observed score, and to establish confidence intervals around this estimate based upon the standard error of the observed scores. The concept that observed covariances reflect true covariances is the basis for structural equation modeling, in which relationships between observed scores are expressed in terms of relationships between latent scores and the reliability of the measurement of the latent variables. Reliability estimates can be found based upon variations in the overall test, variations over time, variation over items in a test, and variability associated with who is giving the test.
Original languageEnglish (US)
Title of host publicationThe Wiley Handbook of Psychometric Testing
Subtitle of host publicationA Multidisciplinary Reference on Survey, Scale and Test Development
EditorsPaul Irwing, Tom Booth, David J Hughes
PublisherJohn Wiley & Sons, Inc.
Chapter23
Pages709-749
Number of pages41
ISBN (Print)978-1118489833
StatePublished - 2018

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Revelle, W. R., & Condon, D. M. (2018). Reliability. In P. Irwing, T. Booth, & D. J. Hughes (Eds.), The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development (pp. 709-749). John Wiley & Sons, Inc..
Revelle, William R ; Condon, David M. / Reliability. The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development. editor / Paul Irwing ; Tom Booth ; David J Hughes. John Wiley & Sons, Inc., 2018. pp. 709-749
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Revelle, WR & Condon, DM 2018, Reliability. in P Irwing, T Booth & DJ Hughes (eds), The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development. John Wiley & Sons, Inc., pp. 709-749.

Reliability. / Revelle, William R; Condon, David M.

The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development. ed. / Paul Irwing; Tom Booth; David J Hughes. John Wiley & Sons, Inc., 2018. p. 709-749.

Research output: Chapter in Book/Report/Conference proceedingChapter

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N2 - Separating signal from noise is the primary challenge of measurement and is the fundamental goal of all approaches to reliability theory. Reliability is the ability to generalize about individual differences across alternative sources of variation. Generalizations within a domain of items use internal consistency estimates. This chapter examines reliability to estimate the true score given an observed score, and to establish confidence intervals around this estimate based upon the standard error of the observed scores. The concept that observed covariances reflect true covariances is the basis for structural equation modeling, in which relationships between observed scores are expressed in terms of relationships between latent scores and the reliability of the measurement of the latent variables. Reliability estimates can be found based upon variations in the overall test, variations over time, variation over items in a test, and variability associated with who is giving the test.

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Revelle WR, Condon DM. Reliability. In Irwing P, Booth T, Hughes DJ, editors, The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development. John Wiley & Sons, Inc. 2018. p. 709-749