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Eun Young Mun

Datos Biográficos

ID4095193
NOMBREEun Young Mun
NOMBRESEun Young
APELLIDOMun
FIRMAMUN E Y
AFILIACIONESb Rutgers University ,
VERIFICADONo
TOTAL DE OBRAS5
TOTAL DE CITAS14
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2001
AÑO MÁS RECIENTE DE PUBLICACIÓN2009
ÍNDICE H2
  • Temporal Patterns of Variable Relationships in Person-Oriented Research

    Alexander Von Eye, Eun Young Mun et al.•ARTICLE•Applied Developmental Science•2009

    Longitudinal Configural Frequency Analysis (CFA) seeks to identify, at the manifest variable level, those temporal patterns that are observed more frequently (CFA types) or less frequently (CFA antitypes) than expected with reference to a base model. This article discusses, compares, and extends two base models of interest in longitudinal data analysis. The first of these, Prediction CFA (P-CFA), is a base model that can be used in the configural…

  • What Carries a Mediation Process? Configural Analysis of Mediation

    Open Access•Alexander Von Eye, Eun Young Mun et al.•ARTICLE•Integrative Psychological and…•2009•Citada por: 6•Referencias: 10

  • Temporal patterns of variable relationships in person-oriented research

    Alexander Von Eye, Eun Young Mun et al.•ARTICLE•Developmental Psychology•2008•Citada por: 1•Referencias: 1

    This article reviews the premises of configural frequency analysis (CFA), including methods of choosing significance tests and base models, as well as protecting alpha, and discusses why CFA is a useful approach when conducting longitudinal person-oriented research. CFA operates at the manifest variable level. Longitudinal CFA seeks to identify those temporal patterns that stand out as more frequent (CFA types) or less frequent (CFA antitypes) th…

  • Finding groups using model-based cluster analysis

    Eun Young Mun, EUN‐YOUNG MUN et al.•ARTICLE•Developmental Psychology•2008•Citada por: 5•Referencias: 4

    Model-based cluster analysis is a new clustering procedure to investigate population heterogeneity utilizing finite mixture multivariate normal densities. It is an inferentially based, statistically principled procedure that allows comparison of nonnested models using the Bayesian information criterion to compare multiple models and identify the optimum number of clusters. The current study clustered 36 young men and women on the basis of their b…

  • Temperamental characteristics as predictors of externalizing and internalizing child behavior problems in the contexts of high and low parental psychopathology

    Open Access•Eun Young Mun, EUN‐YOUNG MUN et al.•ARTICLE•Infant Mental Health Journal•2001•Citada por: 2•Referencias: 37

    This study investigated whether the relationships between dimensions of early child temperament and externalizing and internalizing behavior problems differ in relation to the degree of parental psychopathology to which children are exposed. In addition, the reciprocal relation between externalizing and internalizing behavior problems, and stability patterns (i.e., autoregression) of externalizing and internalizing behavior problems were investig…

  • What Carries a Mediation Process? Configural Analysis of Mediation

    Open Access•Alexander Von Eye, Eun Young Mun et al.•ARTICLE•Integrative Psychological and…•2009•Citada por: 6•Referencias: 10

  • Finding groups using model-based cluster analysis

    Eun Young Mun, EUN‐YOUNG MUN et al.•ARTICLE•Developmental Psychology•2008•Citada por: 5•Referencias: 4

    Model-based cluster analysis is a new clustering procedure to investigate population heterogeneity utilizing finite mixture multivariate normal densities. It is an inferentially based, statistically principled procedure that allows comparison of nonnested models using the Bayesian information criterion to compare multiple models and identify the optimum number of clusters. The current study clustered 36 young men and women on the basis of their b…

  • Temperamental characteristics as predictors of externalizing and internalizing child behavior problems in the contexts of high and low parental psychopathology

    Open Access•Eun Young Mun, EUN‐YOUNG MUN et al.•ARTICLE•Infant Mental Health Journal•2001•Citada por: 2•Referencias: 37

    This study investigated whether the relationships between dimensions of early child temperament and externalizing and internalizing behavior problems differ in relation to the degree of parental psychopathology to which children are exposed. In addition, the reciprocal relation between externalizing and internalizing behavior problems, and stability patterns (i.e., autoregression) of externalizing and internalizing behavior problems were investig…

  • Temporal patterns of variable relationships in person-oriented research

    Alexander Von Eye, Eun Young Mun et al.•ARTICLE•Developmental Psychology•2008•Citada por: 1•Referencias: 1

    This article reviews the premises of configural frequency analysis (CFA), including methods of choosing significance tests and base models, as well as protecting alpha, and discusses why CFA is a useful approach when conducting longitudinal person-oriented research. CFA operates at the manifest variable level. Longitudinal CFA seeks to identify those temporal patterns that stand out as more frequent (CFA types) or less frequent (CFA antitypes) th…

  • Temperamental characteristics as predictors of externalizing and internalizing child behavior problems in the contexts of high and low parental psychopathology

    Open Access•Eun Young Mun, EUN‐YOUNG MUN et al.•ARTICLE•Infant Mental Health Journal•2001•Citada por: 2•Referencias: 37

    This study investigated whether the relationships between dimensions of early child temperament and externalizing and internalizing behavior problems differ in relation to the degree of parental psychopathology to which children are exposed. In addition, the reciprocal relation between externalizing and internalizing behavior problems, and stability patterns (i.e., autoregression) of externalizing and internalizing behavior problems were investig…

  • Temporal patterns of variable relationships in person-oriented research

    Alexander Von Eye, Eun Young Mun et al.•ARTICLE•Developmental Psychology•2008•Citada por: 1•Referencias: 1

    This article reviews the premises of configural frequency analysis (CFA), including methods of choosing significance tests and base models, as well as protecting alpha, and discusses why CFA is a useful approach when conducting longitudinal person-oriented research. CFA operates at the manifest variable level. Longitudinal CFA seeks to identify those temporal patterns that stand out as more frequent (CFA types) or less frequent (CFA antitypes) th…

  • Finding groups using model-based cluster analysis

    Eun Young Mun, EUN‐YOUNG MUN et al.•ARTICLE•Developmental Psychology•2008•Citada por: 5•Referencias: 4

    Model-based cluster analysis is a new clustering procedure to investigate population heterogeneity utilizing finite mixture multivariate normal densities. It is an inferentially based, statistically principled procedure that allows comparison of nonnested models using the Bayesian information criterion to compare multiple models and identify the optimum number of clusters. The current study clustered 36 young men and women on the basis of their b…

  • Temporal Patterns of Variable Relationships in Person-Oriented Research

    Alexander Von Eye, Eun Young Mun et al.•ARTICLE•Applied Developmental Science•2009

    Longitudinal Configural Frequency Analysis (CFA) seeks to identify, at the manifest variable level, those temporal patterns that are observed more frequently (CFA types) or less frequently (CFA antitypes) than expected with reference to a base model. This article discusses, compares, and extends two base models of interest in longitudinal data analysis. The first of these, Prediction CFA (P-CFA), is a base model that can be used in the configural…

  • What Carries a Mediation Process? Configural Analysis of Mediation

    Open Access•Alexander Von Eye, Eun Young Mun et al.•ARTICLE•Integrative Psychological and…•2009•Citada por: 6•Referencias: 10

Psychology (5 obras) · Advanced Statistical Modeling Techniques (3 obras) · Computer Science (3 obras) · Developmental psychology (3 obras) · Econometrics (3 obras) · Mathematics (3 obras) · Mental Health Research Topics (3 obras) · Statistics (3 obras) · Variable (mathematics (3 obras) · Association (psychology (2 obras)

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