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Mavilidi, Myrto F.; Marsh, Herbert W.; Xu, Kate M.; Parker, Philip D.; Jansen, Pauline W.; Paas, Fred – Journal of Educational Psychology, 2022
The effects of school starting age and relative age effects (RAEs) have generated much interest from parents, teachers, policymakers, and educational researchers. Our 10-year longitudinal study is based on a nationally representative (N = 4,983) prospective sample from the Longitudinal Study of Australian Children. The primary outcomes are results…
Descriptors: Age, Age Differences, Academic Achievement, Elementary School Students
Marsh, Herbert W.; Pekrun, Reinhard; Guo, Jiesi; Hattie, John; Karin, Eyal – Educational Psychology Review, 2023
Conventional wisdom suggests that parents' educational expectations (how far they expect their children to go) and aspirations (how far they want their children to go) positively impact academic outcomes and benefits from attending high-ability schools. However, here we juxtapose the following: largely positive effects of educational expectations…
Descriptors: Academic Aspiration, Parent Attitudes, Aspiration, Student Attitudes
Parker, Philip D.; Marsh, Herbert W.; Thoemmes, Felix; Biddle, Nicholas – Journal of Educational Psychology, 2019
The Negative Year in School Effect (NYiSE) claims that grade-relative-to-age influences academic self-concept. Being young for your grade is associated with lower self-concept, whereas being old for your grade is associated with higher self-concept. We extend this research in several ways. First, we aim to improve causal claims for the NYiSE by…
Descriptors: Self Concept, Age Differences, Foreign Countries, Achievement Tests
Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S. – Developmental Psychology, 2013
This substantive-methodological synergy applies evolving approaches to factor analysis to substantively important developmental issues of how five-factor-approach (FFA) personality measures vary with gender, age, and their interaction. Confirmatory factor analyses (CFAs) conducted at the item level often do not support a priori FFA structures, due…
Descriptors: Structural Equation Models, Factor Analysis, Personality Measures, Gender Differences
Marsh, Herbert W.; Pekrun, Reinhard; Parker, Philip D.; Murayama, Kou; Guo, Jiesi; Dicke, Theresa; Lichtenfeld, Stephanie – Journal of Educational Psychology, 2017
Consistently with a priori predictions, school retention (repeating a year in school) had largely positive effects for a diverse range of 10 outcomes (e.g., math self-concept, self-efficacy, anxiety, relations with teachers, parents and peers, school grades, and standardized achievement test scores). The design, based on a large, representative…
Descriptors: Grade Repetition, Self Concept, Self Efficacy, Anxiety
Marsh, Herbert W.; Abduljabbar, Adel Salah; Morin, Alexandre J. S.; Parker, Philip; Abdelfattah, Faisal; Nagengast, Benjamin; Abu-Hilal, Maher M. – Journal of Educational Psychology, 2015
Extensive support for the seemingly paradoxical negative effects of school- and class-average achievement on academic self-concept (ASC)-the big-fish-little-pond effect (BFLPE)--is based largely on secondary students in Western countries or on cross-cultural Program for International Student Assessment studies. There is little research testing the…
Descriptors: Self Concept, Secondary School Students, Social Influences, Elementary School Students
Guay, Frederic; Chanal, Julien; Ratelle, Catherine F.; Marsh, Herbert W.; Larose, Simon; Boivin, Michel – British Journal of Educational Psychology, 2010
Background: There are two approaches to the differential examination of school motivation. The first is to examine motivation towards specific school subjects (between school subject differentiation). The second is to examine school motivation as a multidimensional concept that varies in terms of not only intensity but also quality (within school…
Descriptors: Foreign Countries, Elementary School Students, Grade 1, Learning Motivation
Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S.; Parada, Roberto H.; Craven, Rhonda G.; Hamilton, Linda R. – Journal of Educational Psychology, 2011
Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract…
Descriptors: Locus of Control, Test Bias, Bullying, Structural Equation Models
Marsh, Herbert W. – Journal of Educational Psychology, 2007
Do university teachers, like good wine, improve with age? The purpose of this methodological/substantive study is to apply a multiple-level growth modeling approach to the long-term stability of students' evaluations of teaching effectiveness (SETs). For a diverse cohort of 195 teachers who were evaluated continuously over 13 years (6,024 classes,…
Descriptors: Student Evaluation of Teacher Performance, College Faculty, Teaching Experience, Age Differences
Marsh, Herbert W.; Gerlach, Erin; Trautwein, Ulrich; Ludtke, Oliver; Brettschneider, Wolf-Dietrich – Child Development, 2007
Do preadolescent sport self-concepts influence subsequent sport performance? Longitudinal data (Grades 3, 4, and 6) for young boys and girls (N = 1,135; mean age = 9.67) were used to test reciprocal effects model (REM) predictions that sport self-concept is both a cause and a consequence of sport accomplishments. Controlling prior sport…
Descriptors: Preadolescents, Adolescents, Grade 6, Grade 4
Marsh, Herbert W.; Craven, Rhonda G.; McInerney, Dennis; Debus, Raymond L. – 2000
Motivation orientation research consistently finds two factors, Performance and Learning, that overlap substantially with other factors coming from different theoretical perspectives of motivation. Similar to related work in the Big-Five Theory of Personality, researchers posited a Big-Two-Factor Theory of motivation orientation and evaluated the…
Descriptors: Age Differences, Elementary Education, Elementary School Students, Sex Differences

Marsh, Herbert W. – American Educational Research Journal, 1993
Data from the normative archives of the Self-Description Questionnaire for 8 random samples of 500 students support the gender-invariant model of relations between math, verbal, academic, and general self-concepts. The data also provide good support for the comparison of mean scores over gender and age. (SLD)
Descriptors: Adolescents, Age Differences, Comparative Analysis, Elementary Secondary Education
Martin, Andrew J.; Marsh, Herbert W.; McInerney, Dennis M.; Green, Jasmine; Dowson, Martin – Australian Journal of Guidance and Counselling, 2007
The aim of the present study was to better understand the combined and unique effects of teacher-student and parent-child relationships in students' achievement motivation and self-esteem. Participants were 3450 high school students administered items assessing their interpersonal relationships, academic motivation and engagement, academic…
Descriptors: Parent Child Relationship, Teacher Student Relationship, Gender Differences, Age Differences

Marsh, Herbert W.; Ayotte, Violaine – Journal of Educational Psychology, 2003
Evaluates theory and methodology underlying previous tests of the developmental proposal that self-concept becomes increasingly multidimensional with age. Develops and provides strong support for a new differential distinctiveness hypothesis, demonstrating that increasing distinctiveness--substantial age-related declines in correlations among…
Descriptors: Age Differences, Correlation, Foreign Countries, Models

Marsh, Herbert W.; And Others – Journal of Educational Psychology, 1984
Factor analyses of responses to the Self-Description Questionnaire (SDQ) by children in grades two to five clearly identified the seven SDQ factors, and correlations among these factors were consistent with Shavelson's model. The results also suggest that these factors become more distinct with age. (Author/BW)
Descriptors: Age Differences, Elementary Education, Factor Analysis, Factor Structure
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