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Self-Concept Profiles in Lower Secondary Level – An Explanation for Gender Differences in Science Course Selection?
16 references·0 citing·46 second hop
Self-Concept Profiles in Lower Secondary Level – An Explanation for Gender Differences in Science Course Selection? (2019)Self-Concept Profiles in Lower Secondary …Multiple-Group Analysis of Similarity in Latent Profile Solutions (2015)Multiple-Group Analysis of Si…Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using M plus (2014)Auxiliary Variables in Mixtur…Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields (2013)Motivational pathways to STEM…Do Female and Male Role Models Who Embody STEM Stereotypes Hinder Women’s Anticipated Success in STEM? (2011)Do Female and Male Role Model…New trends in gender and mathematics performance: A meta-analysis. (2010)New trends in gender and math…Cross-national patterns of gender differences in mathematics: A meta-analysis. (2010)Cross-national patterns of ge…Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept (2009)Classical Latent Profile Anal…The Science of Sex Differences in Science and Mathematics (2007)The Science of Sex Difference…Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study (2007)Deciding on the Number of Cla…Reciprocal Effects of Self-Concept and Performance From a Multidimensional Perspective: Beyond Seductive Pleasure and Unidimensional Perspectives (2006)Reciprocal Effects of Self-Co…The gender similarities hypothesis. (2005)The gender similarities hypot…Investigating population heterogeneity with factor mixture models. (2005)Investigating population hete…Statistical and Substantive Checking in Growth Mixture Modeling: Comment on Bauer and Curran (2003). (2003)Statistical and Substantive C…Improper Solutions in Structural Equation Models (2001)Improper Solutions in Structu…A multidimensional, hierarchical model of self-concept: Theoretical and empirical justification (1990)A multidimensional, hierarchi…A multifaceted academic self-concept: Its hierarchical structure and its relation to academic achievement. (1988)A multifaceted academic self-…Distribution Theory for Glass's Estimator of Effect Size and Related Estimators (1981)Self-Efficacy: The Exercise of Control (1999)Practical Meta-Analysis (2000)Gender Similarities and Differences (2013)Why are some STEM fields more gender balanced than others? (2016)Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. (2017)Culture's Consequences: International Differences in Work-Related Values. (1983)Motivation and Personality (1997)Development as Freedom (2009)Gender differences in scholastic achievement: A meta-analysis. 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(1990)Online video game addiction: identification of addicted adolescent gamers (2010)Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers (2019)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling (2007)Identifying careless responses in survey data. (2012)Latent Class Analysis: A Guide to Best Practice (2020)The descent of man and selection in relation to sex (1907)A Handbook of Child Psychology (1932)Human Cognitive Abilities (1993)National differences in gender–science stereotypes predict national sex differences in science and math achievement (2009)Women in Academic Science (2014)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Academic self‐concept and academic achievement: Relations and causal ordering (2010)Achievement Emotions and Academic Performance: Longitudinal Models of Reciprocal Effects (2017)PISA 2018 Assessment and Analytical Framework (2019)Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. (1989)Measurement Invariance, Factor Analysis and Factorial Invariance (1993)Sample size in factor analysis. (1999)A latent profile analysis of college students’ achievement goal orientation (2006)Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters (2007)An Introduction to Latent Variable Mixture Modeling (Part 1): Overview and Cross-Sectional Latent Class and Latent Profile Analyses (2013)
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References

  • 2007Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study11,376 cited
  • 2014Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using M plus3,569 cited
  • 2005The gender similarities hypothesis.3,077 cited
  • 2010Cross-national patterns of gender differences in mathematics: A meta-analysis.1,627 cited
  • 2006Reciprocal Effects of Self-Concept and Performance From a Multidimensional Perspective: Beyond Seductive Pleasure and Unidimensional Perspectives1,365 cited
  • 2009Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept1,241 cited
  • 2005Investigating population heterogeneity with factor mixture models.1,146 cited
  • 2007The Science of Sex Differences in Science and Mathematics1,130 cited
  • 2010New trends in gender and mathematics performance: A meta-analysis.919 cited
  • 1990A multidimensional, hierarchical model of self-concept: Theoretical and empirical justification866 cited
  • 2013Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields836 cited
  • 1988A multifaceted academic self-concept: Its hierarchical structure and its relation to academic achievement.741 cited
  • 2003Statistical and Substantive Checking in Growth Mixture Modeling: Comment on Bauer and Curran (2003).

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691 cited
  • 2015Multiple-Group Analysis of Similarity in Latent Profile Solutions660 cited
  • 2001Improper Solutions in Structural Equation Models510 cited
  • 2011Do Female and Male Role Models Who Embody STEM Stereotypes Hinder Women’s Anticipated Success in STEM?502 cited
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