MODELING INCOMPLETE LONGITUDINAL AND CROSS-SECTIONAL DATA USING LATENT GROWTH STRUCTURAL MODELS

被引：147
|
作者：
MCARDLE, JJ
HAMAGAMI, F
机构：
来源：
EXPERIMENTAL AGING RESEARCH | 1992年 / 18卷 / 3-4期
关键词：
D O I：
10.1080/03610739208253917
中图分类号：
R592 [老年病学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 100203 ;
摘要：
In this paper we describe some mathematical and statistical models for identifying and dealing with changes over age. We concentrate specifically on the use of a latent growth structural equation model approach to deal with issues of: (1) latent growth models of change, (2) differences in longitudinal and cross-sectional results, and (3) differences due to longitudinal attrition. This is a methodological paper using simulated data, but we base our models on practical and conceptual principles of modeling change in developmental psychology. Our results illustrate both benefits and limitations using structural models to analyze incomplete longitudinal data.
引用
收藏
页码：145 / 166
页数：22
相关论文
共 50 条
  • [1] STRUCTURAL MODELING OF MIXED LONGITUDINAL AND CROSS-SECTIONAL DATA
    MCARDLE, JJ
    HAMAGAMI, F
    ELIAS, MF
    ROBBINS, MA
    [J]. EXPERIMENTAL AGING RESEARCH, 1991, 17 (01) : 29 - 52
  • [2] MODELING INCOMPLETE LONGITUDINAL SUBSTANCE USE DATA USING LATENT VARIABLE GROWTH CURVE METHODOLOGY
    DUNCAN, SC
    DUNCAN, TE
    [J]. MULTIVARIATE BEHAVIORAL RESEARCH, 1994, 29 (04) : 313 - 338
  • [3] GROWTH CHARTS FOR BOTH CROSS-SECTIONAL AND LONGITUDINAL DATA
    COLE, TJ
    [J]. STATISTICS IN MEDICINE, 1994, 13 (23-24) : 2477 - 2492
  • [4] Modeling latent growth curves with incomplete data using different types of structural equation modeling and multilevel software
    Ferrer, E
    Hamagami, F
    McArdle, JJ
    [J]. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2004, 11 (03) : 452 - 483
  • [5] Latent difference score structural models for linear dynamic analyses with incomplete longitudinal data
    McArdle, JJ
    Hamagami, F
    [J]. NEW METHODS FOR THE ANALYSIS OF CHANGE, 2001, : 139 - 175
  • [6] Comparison of longitudinal, cross-sectional, and mixed longitudinal data in growth analysis.
    Richtsmeier, JT
    Cole, TM
    Valeri, CJ
    Kontis, VT
    [J]. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 2000, : 262 - 263
  • [7] LONGITUDINAL THEORY AND CROSS-SECTIONAL DATA
    KENDLER, TS
    [J]. BULLETIN OF THE PSYCHONOMIC SOCIETY, 1979, 14 (04) : 251 - 251
  • [8] Testing Reciprocal Relations by Nonrecursive Structural Equation Models Using Cross-Sectional Data
    Wong, Chi-Sum
    Law, Kenneth S.
    [J]. ORGANIZATIONAL RESEARCH METHODS, 1999, 2 (01) : 69 - 87
  • [9] Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton
    Kevin M. Middleton
    Dana L. Duren
    Kieran P. McNulty
    Heesoo Oh
    Manish Valiathan
    Richard J. Sherwood
    [J]. Scientific Reports, 13
  • [10] Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton
    Middleton, Kevin M.
    Duren, Dana L.
    McNulty, Kieran P.
    Oh, Heesoo
    Valiathan, Manish
    Sherwood, Richard J.
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
12345