Reliability in latent growth curve modelsCitation formats

Standard

Reliability in latent growth curve models. / Shryane, Nick.

Measurement Error in Longitudinal Data. ed. / Alexandru Cernat ; Joseph W. Sakshaug. Oxford University Press, 2021. p. 195-210.

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Harvard

Shryane, N 2021, Reliability in latent growth curve models. in A Cernat & JW Sakshaug (eds), Measurement Error in Longitudinal Data. Oxford University Press, pp. 195-210. https://doi.org/10.1093/oso/9780198859987.003.0009

APA

Shryane, N. (2021). Reliability in latent growth curve models. In A. Cernat , & J. W. Sakshaug (Eds.), Measurement Error in Longitudinal Data (pp. 195-210). Oxford University Press. https://doi.org/10.1093/oso/9780198859987.003.0009

Vancouver

Shryane N. Reliability in latent growth curve models. In Cernat A, Sakshaug JW, editors, Measurement Error in Longitudinal Data. Oxford University Press. 2021. p. 195-210 https://doi.org/10.1093/oso/9780198859987.003.0009

Author

Shryane, Nick. / Reliability in latent growth curve models. Measurement Error in Longitudinal Data. editor / Alexandru Cernat ; Joseph W. Sakshaug. Oxford University Press, 2021. pp. 195-210

Bibtex

@inbook{616206507d704469a44df35195a2784b,
title = "Reliability in latent growth curve models",
abstract = "In this chapter I give an overview of reliability in the context of latent growth curve models. Although conceptually similar to latent factor models, reliability is more complex in a growth context. Two different conceptions of reliability were compared: growth curve reliability and growth rate reliability. The former evaluates the reliability of a measurement at a specific time point, the latter evaluates the reliability of the estimate of change over time. The differences, strengths, and limitations of these approaches are discussed, and demonstrated with an example on memory change in older adults. I show that using multiple measurements at each time point (with a second-order latent growth curve model) can improve growth curve reliability but will not necessarily improve growth rate reliability.",
keywords = "Growth curve reliability, Growth rate reliability, Latent growth curve models, Reliability",
author = "Nick Shryane",
note = "Publisher Copyright: {\textcopyright} Oxford University Press 2021.",
year = "2021",
month = may,
day = "20",
doi = "10.1093/oso/9780198859987.003.0009",
language = "English",
isbn = "9780198859987",
pages = "195--210",
editor = "{Cernat }, {Alexandru } and Sakshaug, {Joseph W.}",
booktitle = "Measurement Error in Longitudinal Data",
publisher = "Oxford University Press",
address = "United Kingdom",

}

RIS

TY - CHAP

T1 - Reliability in latent growth curve models

AU - Shryane, Nick

N1 - Publisher Copyright: © Oxford University Press 2021.

PY - 2021/5/20

Y1 - 2021/5/20

N2 - In this chapter I give an overview of reliability in the context of latent growth curve models. Although conceptually similar to latent factor models, reliability is more complex in a growth context. Two different conceptions of reliability were compared: growth curve reliability and growth rate reliability. The former evaluates the reliability of a measurement at a specific time point, the latter evaluates the reliability of the estimate of change over time. The differences, strengths, and limitations of these approaches are discussed, and demonstrated with an example on memory change in older adults. I show that using multiple measurements at each time point (with a second-order latent growth curve model) can improve growth curve reliability but will not necessarily improve growth rate reliability.

AB - In this chapter I give an overview of reliability in the context of latent growth curve models. Although conceptually similar to latent factor models, reliability is more complex in a growth context. Two different conceptions of reliability were compared: growth curve reliability and growth rate reliability. The former evaluates the reliability of a measurement at a specific time point, the latter evaluates the reliability of the estimate of change over time. The differences, strengths, and limitations of these approaches are discussed, and demonstrated with an example on memory change in older adults. I show that using multiple measurements at each time point (with a second-order latent growth curve model) can improve growth curve reliability but will not necessarily improve growth rate reliability.

KW - Growth curve reliability

KW - Growth rate reliability

KW - Latent growth curve models

KW - Reliability

UR - http://www.scopus.com/inward/record.url?scp=85113084941&partnerID=8YFLogxK

U2 - 10.1093/oso/9780198859987.003.0009

DO - 10.1093/oso/9780198859987.003.0009

M3 - Chapter

AN - SCOPUS:85113084941

SN - 9780198859987

SP - 195

EP - 210

BT - Measurement Error in Longitudinal Data

A2 - Cernat , Alexandru

A2 - Sakshaug, Joseph W.

PB - Oxford University Press

ER -