Multilevel Motivation and Engagement

Assessing Construct Validity Across Students and Schools

Datos Bibliográficos

ID20281972
AutoresAndrew J Martins (0000-0001-5504-392X, University of Sydney, Sydney, New South Wales, Australia,, autor de correspondencia), Andrew J Martin (0000-0002-0050-3850), Lars‐erik Malmberg (0000-0002-5309-7403, University of Oxford), Lars-Erik Malmberg (University of Oxford, Oxford, UK), Gregory Arief D Liem (0000-0003-2523-5095, University of Sydney, Sydney, New South Wales, Australia)
Año2010
Volumen70
Número6
Páginas973-989
Fecha de publicación2010-12-01
Open AccessSí
TipoARTICLE
RevistaEducational and Psychological Measurement (JOURNAL)
Identificadores de la revistaISSN: 0013-1644 • E-ISSN: 1552-3888
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164410378089
OpenAlexW2164703257
IdiomaEN
Citas recibidas7
Referencias citadas26

Statistical biases associated with single-level analyses underscore the importance of partitioning variance/covariance matrices into individual and group levels. From a multilevel perspective based on data from 21,579 students in 58 high schools, the present study assesses the multilevel factor structure of motivation and engagement with a particular focus on a recently developed instrument (the Motivation and Engagement Scale—High School; MES-HS) shown in a wide variety of contexts to reflect sound student-level psychometric properties. Multilevel (or hierarchical linear) confirmatory factor analysis using Mplus demonstrated that at student and school levels, the hypothesized framework comprised sound factor structure. Multilevel invariance tests further demonstrated that key parameters were invariant across student and school levels. Results also showed that first and higher order factor correlations were in hypothesized directions and broadly parallel at student and school levels. Taken together, the MES-HS target factors and the framework from which they emanate demonstrate sound multilevel psychometric properties

Confirmatory factor analysis · Construct (python library) · Construct validity · Developmental psychology · Factor analysis · Item response theory · Measurement invariance · Multilevel model · Psychometrics · Scale (ratio) · Statistics · Structural equation modeling · Computer Science · Education, Achievement, and Giftedness · Mathematics · Motivation and Self-Concept in Sports · Psychology · Social Psychology · Youth Development and Social Support