Open AccessApplying Latent Growth Curve Modeling to the Investigation of Individual Differences in Cardiovascular Recovery From Stress
Author(s) -
María M. Llabre,
Susan B. Spitzer,
Scott D. Siegel,
Patrice G. Saab,
Neil Schneiderman
Publication year - 2004
Publication title -
psychosomatic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.62
H-Index - 187
eISSN - 1534-7796
pISSN - 0033-3174
DOI - 10.1097/01.psy.0000107886.51781.9c
Subject(s) - stressor , hostility , blood pressure , latent growth modeling , stress (linguistics) , psychology , analysis of variance , cold pressor test , repeated measures design , variance (accounting) , medicine , developmental psychology , clinical psychology , heart rate , statistics , mathematics , linguistics , philosophy , accounting , business
This paper provides an introduction to latent growth curve (LGC) modeling, a modern method for analyzing data resulting from change processes such as cardiovascular recovery from stress. LGC models are superior to traditional approaches such as repeated measures analysis of variance and simple change scores.