Evaluating measurement of longitudinal education data using the Measurement Model of Derivatives.

Husmann, Kyle D; Brick, Timothy R; DiPerna, James C

Husmann, Kyle D; Brick, Timothy R; DiPerna, James C.

Afiliación

Husmann KD; Department of Human Development and Family Studies, Pennsylvania State University, USA. Electronic address: kdh38@psu.edu.
Brick TR; Department of Human Development and Family Studies, Pennsylvania State University, USA; Institute for Computational and Data Sciences, Pennsylvania State University, USA.
DiPerna JC; Department of Educational Psychology, Counseling, and Special Education, Pennsylvania State University, USA.

J Sch Psychol ; 92: 360-375, 2022 06.

Article en En | MEDLINE | ID: mdl-35618381

Asunto(s)

Éxito Académico; Instituciones Académicas; Niño; Conducta Infantil; Preescolar; Escolaridad; Humanos; Estudios Longitudinales

Palabras clave

ECLS-K:2011; Educational psychology; Longitudinal data analysis; Measurement model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Instituciones Académicas / Éxito Académico Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Child, preschool / Humans Idioma: En Revista: J Sch Psychol Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

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