ERIC Number: EJ1431552
Record Type: Journal
Publication Date: 2024
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1070-5511
EISSN: EISSN-1532-8007
Combined Logistic and Confined Exponential Growth Models: Estimation Using SEM Software
Structural Equation Modeling: A Multidisciplinary Journal, v31 n2 p367-379 2024
The logistic and confined exponential curves are frequently used in studies of growth and learning. These models, which are nonlinear in their parameters, can be estimated using structural equation modeling software. This paper proposes a single combined model, a weighted combination of both models. Mplus, Proc Calis, and lavaan code for the model are provided. Monte Carlo simulations varying the number of measurement occasions (5, 10, and 15), internal consistency ([alpha] = 0.5, 0.7, and 0.8), and sample size (N = 1,000, 500, and 300) were examined to understand whether the model can be successfully fit with SEM software. Convergence failures were appreciable when model parameters were equal to special cases of logistic or confined exponential curves. At least ten measurement occasions and a moderate degree of reliability ([alpha] > 0.7) were required to identify the model as superior to its stand-alone alternatives.
Descriptors: Structural Equation Models, Computation, Computer Software, Weighted Scores, Monte Carlo Methods, Sample Size, Reliability, Error of Measurement
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A