Meta-Analytic Structural Equation Modelling
By S. Jak. 2015
153 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Education, Safety Research
View Paper: https://www.semanticscholar.org/paper/39b05b44bb7dd9b882b9d9947a9bba4512fcdd43
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- Ronny Scherer
- Fazilat Siddiq
- Jo Tondeur
- Anouschka van Leeuwen
- Marjolein Zee
- H. Koomen
- Liesbeth Kester
- Renée S. Jansen
In Education
- Marjolein Zee
- H. Koomen
- Ronny Scherer
- F. Oort
- D. Roorda
- Fazilat Siddiq
- Jo Tondeur
- Anouschka van Leeuwen
In Safety Research
- Ronny Scherer
- Fazilat Siddiq
- Jo Tondeur
- Anouschka van Leeuwen
- Jeroen Janssen
- D. Roorda
- Liesbeth Kester
- F. Oort
Citations in the corpus
- Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis (2019, methodology): “First, a mediation analysis was conducted using metaanalytic structural equation modeling (MASEM; Jak, 2015) to test the extent to which the effect of SRL interventions on achievement is due to changes in students’ engagement in SRL activities.”
- Affective Teacher–Student Relationships and Students' Engagement and Achievement: A Meta-Analytic Update and Test of the Mediating Role of Engagement (2017, methodology): “In the present study, we updated our meta-analytic sample and used more advanced statistical techniques (MASEM; Cheung & Chan, 2005; Jak, 2015; Jak, Oort, Roorda, & Koomen, 2013; Viswesvaran & Ones, 1995) to examine whether the smaller effect sizes for achievement were actually due to an indirect…”
- The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education (2019, methodology): “For instance, LBCIs perform better in models targeted at categorical data, random e ff ects, and nonlinear or logistic regression (M. W.-L. Cheung, 2009, 2015).”