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Jun-Hwa Cheah

Biographic Data

ID3738715
NAMEJun-Hwa Cheah
GIVEN NAMESJun-Hwa
FAMILY NAMECheah
SIGNATURECHEAH J
AFFILIATIONSUniversity of East Anglia
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS7
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Consistent Partial Least Squares Structural Equation Modeling Using SmartPLS

    Open Access•Jun‐hwa Cheah, Jun-Hwa Cheah et al.•ARTICLE•Structural Equation Modeling: A…•2026

    This Teacher’s Corner article provides a comprehensive illustration of consistent partial least squares structural equation modeling (PLSc-SEM), a variant of the original PLS-SEM method, which corrects construct correlations for attenuation. The method thereby allows estimating common factor models within a composite-based SEM framework. Our descriptions draw on SmartPLS 4, the most frequently used software for conducting PLS-SEM analyses, illust…

  • Does image fit matter to residents’ attitudes and intentions toward sports events and host communities

    Cheng-Yu Hsu, Jun‐hwa Cheah et al.•ARTICLE•Journal of Sport & Tourism•2026

    This study examines how perceived image fit between a recurring community sports event and its host community influences residents’ attitudes and behavioral intentions, with particular attention to the differentiated roles of attachment and quality of life. Grounded in schema theory, the study conceptualizes image fit as a cognitive mechanism shaping residents’ evaluations of both the place and the event. Data were collected from 259 local reside…

  • Can AI alleviate loneliness? The role of psychological closeness, co-presence and enjoyment in digital workout environment

    Ying Feng, Jun‐hwa Cheah et al.•ARTICLE•Internet Research•2026•References: 13

    Purpose This study examines whether and how AI fitness instructors can foster psychological closeness and the alleviation of loneliness compared to human instructors. Design/methodology/approach The study involves 592 participants in online fitness environments and employs a quasi-experimental design. Data are subsequently analyzed using variance-based structural equation modeling. Findings Human instructors have a more pronounced positive effect…

  • Health anxiety and information-seeking in the digital age

    Xi Luo, Jennifer Yee‐shan Chang et al.•ARTICLE•Internet Research•2026•References: 12

    Purpose Cyberchondria, characterized by excessive online health information seeking and resulting anxiety, is intensifying. This study aims to examine how threat perceptions and cognitive factors drive cyberchondria and how this condition leads to health information fatigue on social media (HIFSM), self-medication and therapy compliance. Design/methodology/approach This study integrates protection motivation theory, cognitive load theory and the …

  • A tale of PLS Structural Equation Modelling

    Open Access•Enrico Ciavolino, Massimo Aria et al.•ARTICLE•Social Indicators Research•2022•Cited by: 6•References: 77

    The structure of knowledge about Structural Equation Modelling (SEM) based on the Partial Least Squares (PLS) estimator has been analysed by systematic and reproducible bibliometric citation analysis. This contribution aims to create a dynamic picture of the PLS-SEM research activity to support scholars with an enhanced understanding of the history, the present and the future directions of this fascinating modelling approach. Analysis was conduct…

  • How Do Students Evaluate Instructors' Performance? Implication of Teaching Abilities, Physical Attractiveness and Psychological Factors

    Open Access•Sharon Tan, Evan Lau et al.•ARTICLE•Social Indicators Research•2019•Cited by: 1•References: 48

  • A tale of PLS Structural Equation Modelling

    Open Access•Enrico Ciavolino, Massimo Aria et al.•ARTICLE•Social Indicators Research•2022•Cited by: 6•References: 77

    The structure of knowledge about Structural Equation Modelling (SEM) based on the Partial Least Squares (PLS) estimator has been analysed by systematic and reproducible bibliometric citation analysis. This contribution aims to create a dynamic picture of the PLS-SEM research activity to support scholars with an enhanced understanding of the history, the present and the future directions of this fascinating modelling approach. Analysis was conduct…

  • How Do Students Evaluate Instructors' Performance? Implication of Teaching Abilities, Physical Attractiveness and Psychological Factors

    Open Access•Sharon Tan, Evan Lau et al.•ARTICLE•Social Indicators Research•2019•Cited by: 1•References: 48

  • How Do Students Evaluate Instructors' Performance? Implication of Teaching Abilities, Physical Attractiveness and Psychological Factors

    Open Access•Sharon Tan, Evan Lau et al.•ARTICLE•Social Indicators Research•2019•Cited by: 1•References: 48

  • A tale of PLS Structural Equation Modelling

    Open Access•Enrico Ciavolino, Massimo Aria et al.•ARTICLE•Social Indicators Research•2022•Cited by: 6•References: 77

    The structure of knowledge about Structural Equation Modelling (SEM) based on the Partial Least Squares (PLS) estimator has been analysed by systematic and reproducible bibliometric citation analysis. This contribution aims to create a dynamic picture of the PLS-SEM research activity to support scholars with an enhanced understanding of the history, the present and the future directions of this fascinating modelling approach. Analysis was conduct…

  • Consistent Partial Least Squares Structural Equation Modeling Using SmartPLS

    Open Access•Jun‐hwa Cheah, Jun-Hwa Cheah et al.•ARTICLE•Structural Equation Modeling: A…•2026

    This Teacher’s Corner article provides a comprehensive illustration of consistent partial least squares structural equation modeling (PLSc-SEM), a variant of the original PLS-SEM method, which corrects construct correlations for attenuation. The method thereby allows estimating common factor models within a composite-based SEM framework. Our descriptions draw on SmartPLS 4, the most frequently used software for conducting PLS-SEM analyses, illust…

  • Does image fit matter to residents’ attitudes and intentions toward sports events and host communities

    Cheng-Yu Hsu, Jun‐hwa Cheah et al.•ARTICLE•Journal of Sport & Tourism•2026

    This study examines how perceived image fit between a recurring community sports event and its host community influences residents’ attitudes and behavioral intentions, with particular attention to the differentiated roles of attachment and quality of life. Grounded in schema theory, the study conceptualizes image fit as a cognitive mechanism shaping residents’ evaluations of both the place and the event. Data were collected from 259 local reside…

  • Can AI alleviate loneliness? The role of psychological closeness, co-presence and enjoyment in digital workout environment

    Ying Feng, Jun‐hwa Cheah et al.•ARTICLE•Internet Research•2026•References: 13

    Purpose This study examines whether and how AI fitness instructors can foster psychological closeness and the alleviation of loneliness compared to human instructors. Design/methodology/approach The study involves 592 participants in online fitness environments and employs a quasi-experimental design. Data are subsequently analyzed using variance-based structural equation modeling. Findings Human instructors have a more pronounced positive effect…

  • Health anxiety and information-seeking in the digital age

    Xi Luo, Jennifer Yee‐shan Chang et al.•ARTICLE•Internet Research•2026•References: 12

    Purpose Cyberchondria, characterized by excessive online health information seeking and resulting anxiety, is intensifying. This study aims to examine how threat perceptions and cognitive factors drive cyberchondria and how this condition leads to health information fatigue on social media (HIFSM), self-medication and therapy compliance. Design/methodology/approach This study integrates protection motivation theory, cognitive load theory and the …

Structural equation modeling (3 works) · Partial least squares regression (2 works) · Perception (2 works) · Quality of Life Research (2 works) · Advanced Clustering Algorithms Research (1 work) · Anxiety (1 work) · Applied Psychology (1 work) · Applied Psychology (1 work) · Archaeology (1 work) · Attractiveness (1 work)

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