TY - JOUR
T1 - Analyzing Longitudinal Data Using Natural Cubic Smoothing Splines
AU - Marcoulides, Katerina M.
AU - Khojasteh, Jam
PY - 2018/11/2
Y1 - 2018/11/2
N2 - The analysis of longitudinal data has received widespread interest in the behavioral, educational, medical, and social sciences for many years. Many modeling techniques have been suggested for conducting such analyses, especially when the data exhibit complex nonlinear trajectory patterns. A major problem with many of these modeling techniques, however, is that they often either impose overly restrictive assumptions or can be computationally demanding. The purpose of this paper is to introduce a less known but highly effective modeling procedure that can be used to model complex nonlinear longitudinal data patterns. The procedure is illustrated using empirical data along with an easy to use computerized implementation.
AB - The analysis of longitudinal data has received widespread interest in the behavioral, educational, medical, and social sciences for many years. Many modeling techniques have been suggested for conducting such analyses, especially when the data exhibit complex nonlinear trajectory patterns. A major problem with many of these modeling techniques, however, is that they often either impose overly restrictive assumptions or can be computationally demanding. The purpose of this paper is to introduce a less known but highly effective modeling procedure that can be used to model complex nonlinear longitudinal data patterns. The procedure is illustrated using empirical data along with an easy to use computerized implementation.
KW - longitudinal data
KW - natural cubic smoothing splines
KW - nonlinear data
UR - http://www.scopus.com/inward/record.url?scp=85044613550&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044613550&partnerID=8YFLogxK
U2 - 10.1080/10705511.2018.1449113
DO - 10.1080/10705511.2018.1449113
M3 - Article
AN - SCOPUS:85044613550
SN - 1070-5511
VL - 25
SP - 965
EP - 971
JO - Structural Equation Modeling
JF - Structural Equation Modeling
IS - 6
ER -