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ERIC Number: EJ1170576
Record Type: Journal
Publication Date: 2018-Apr
Pages: 29
Abstractor: As Provided
ISSN: ISSN-0013-1644
Curve of Factors Model: A Latent Growth Modeling Approach for Educational Research
Isiordia, Marilu; Ferrer, Emilio
Educational and Psychological Measurement, v78 n2 p203-231 Apr 2018
A first-order latent growth model assesses change in an unobserved construct from a single score and is commonly used across different domains of educational research. However, examining change using a set of multiple response scores (e.g., scale items) affords researchers several methodological benefits not possible when using a single score. A curve of factors (CUFFS) model assesses change in a construct from multiple response scores but its use in the social sciences has been limited. In this article, we advocate the CUFFS for analyzing a construct's latent trajectory over time, with an emphasis on applying this model to educational research. First, we present a review of longitudinal factorial invariance, a condition necessary for ensuring that the measured construct is the same across time points. Next, we introduce the CUFFS model, followed by an illustration of testing factorial invariance and specifying a univariate and a bivariate CUFFS model to longitudinal data. To facilitate implementation, we include syntax for specifying these statistical methods using the free statistical software R.
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: High Schools
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF); National Institute of Neurological Disorders and Stroke (NIH)
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Self Perception Profile for Adolescents
Grant or Contract Numbers: BCS0527766; BCS0827021; R01NS05714601