Exploring the determinants of AIGC usage intention based on the extended AIDUA model: a multi-group structural equation modeling analysis by Xueyan Bai, Lin Yang, Lin Yang

“…Additionally, to compare the differences in variable relationships across different subgroups, a multi-group structural equation modeling(MGSEM) analysis was conducted.Results(1) Effects on Key Expectations: Social influence significantly enhances performance expectancy (β = 0.109, p < 0.05) but negatively impacts effort expectancy (β = −0.135, p < 0.01). …”
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Factor structure and measurement invariance of the TIMSS 2015 mathematics attitude questionnaire: Exploratory structural equation modelling approach by Şeyma Uyar

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Graduates’ intention to develop live commerce: The educational background perspective using multi-group analysis by Kyeong Kang, Lifu Li, Osama Sohaib

“…Moreover, it focuses on the impact of graduates’ educational background and explores its moderating role using multi-group analysis. …”
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Factors affecting postdialysis fatigue among hemodialysis patients: a multi-group path analysis according to nutritional status by Yuhan Zhang, Na Yang, Xujiao Bai, Yina Liu, Xiangyun Li, Meiqin Yan, Yuxiang Liu, Yuxiang Liu, Yuxiang Liu

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Victimization experiences, internalizing problems and family bonds among adolescents from the UK: multi-group structural equation modeling using an intersectionality-informed appro... by Susanne Birnkammer, Cara L. Booker, Claudia Calvano

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How does university students’ academic major (STEM vs. non-STEM) affect their acceptance of e-learning: a multi-group analysis by Feifei Han, Jiesi Guo

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Education for sustainable development’s role in influencing sustainable consumption behaviour among international students: a multi group analysis by Simon Thabo Mahlaole

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Understanding Behavioral Intention to Use Moodle in Higher Education: The Role of Technology Acceptance, Cognitive Factors, and Motivation by Stefanos Balaskas, Vassilios Tsiantos, Sevaste Chatzifotiou, Lamprini Lourida, Maria Rigou, Kyriakos Komis

“…A quantitative, cross-sectional research design was employed utilizing Structural Equation Modeling (SEM) to analyze 487 responses from university students with varying levels of Moodle experience. …”
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Determinants of ChatGPT Adoption Intention in Higher Education: Expanding on TAM with the Mediating Roles of Trust and Risk by Stefanos Balaskas, Vassilios Tsiantos, Sevaste Chatzifotiou, Maria Rigou

“…Using a quantitative cross-sectional design, the data from 435 participants were analyzed using structural equation modeling (SEM) to explore the relationships among the perceived ease of use (PE), perceived intelligence (PI), perceived usefulness (PUSE), PT, and PR. …”
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Exploring the structural links between peer support, psychological resilience, and exercise adherence in adolescents: a multigroup model across gender and educational stages by Moyan Li, Yuan Huang, Meirong Sun

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Investigating the entrepreneurial intentions of prospective teachers in Ghana: a gender-based PLS-SEM multi-group analysis by Leticia Sam, Ernest Nyamekye, Peter Sappor

“…A multi-group partial least squares structural equation modelling analysis revealed that entrepreneurial attitudes, entrepreneurial efficacy, subjective norms, and access to capital significantly influence the entrepreneurial intentions of final-year prospective teachers. …”
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PLS-SEM MULTI GROUP ANALYSIS: UNCOVERING THE INTERPLAY OF FACTORS AFFECTING ACADEMIC WRITING SELF-EFFICACY OF EFL POSTGRADUATE STUDENTS by Lastika Ary Prihandoko, Joko Nurkamto, Djamika

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Demographic Insights Into Autonomous Taxi Adoption: A Multi-Group Analysis Extending UTAUT2 With Trust, Perceived Risk, and Personal Innovativeness by Chuan Zheng, Danling Sun, Munirah Khamarudin, Azanin Ahmad, Han Wei, Jie Xu

“…Based on a survey of 417 respondents in Wuhan, China, relationships between the proposed theoretical constructs and AT adoption intention are examined using structural equation modeling (SEM), complemented by multi-group analysis (MGA) to investigate demographic variations. …”
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Librarians’ awareness, acceptability, and application of artificial intelligence in academic research libraries. Multigroup analysis via PLS‒SEM by Imelda Barong Edam-Agbor, Faith Sylvester Orim, Usani Joseph Ofem, Patience Ekpang, Alice Echu, Tanne Okim Okim, Moses Agba Undie, Blessing Ogunjimi, Isu Micheal Egbe, Oluwaseun Omowumi Akin-Fakorede, Ahmed Baba Gombe, Cecilia Undie Angrey, Dymphina Abua, Mary Sunday Enidiok

“…A cross sectional survey involving a total of 3783 librarians was carried out. Structural equation modelling with multi group analysis performed to determine the dimensionality of the scale and factor structures as well test the conceptual model using SmartPLS 3. …”
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Revisiting social capital and knowledge sharing processes in tertiary education: Vietnamese and Bangladeshi students as target populations by Han Nu Ngoc Ton, Mst Shumshunnahar, Thy Nguyen Nhat Tu, Pho Thi Nguyen

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A study on the relationship between physical exercise and feelings of inferiority among college students: the chain mediating effect of social support and emotional regulation abil... by Bo Peng, Weisong Chen, Hongshen Wang, Ting Yu, Mingmin Kong

“…The research investigates both direct and indirect pathways to understand how physical exercise enhances psychological resilience and mitigates negative self-perceptions.MethodsA sample of 2,036 college students from 15 provinces in China was surveyed using validated scales for physical exercise, feelings of inferiority, social support, and emotional regulation ability. Structural equation modeling (SEM) was employed to test hypothesized pathways, including direct effects and chain mediation effects. …”
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A Systematic Review of Research Articles on Measurement Invariance in Education and Psychology by Betül Alatlı

“…", and the journal was "Structural Equation Modeling: A Multidisciplinary Journal". …”
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Further validating of the Depression Anxiety Stress Scales-21 (Dass-21) in Chinese adolescents: factor structure and measurement invariance by Jie Luo, Guohui Xian, Chengkui Yao, Jie Jin, Jianhua Zhao, Xi Song, Jie Gong

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Learning agility, self-efficacy, and resilience as pathways to mental health in higher education: insights from a mixed-methods study by He Huang, Heung Kou

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How does emotion regulation affect adolescents' social adaptability? Building bridges for parent-child communication, empowered by AI education by Entao Ma, Tinghong Lai, Yuri Lee, Yixuan Zhang, Shimin Fu

“…Data from 1318 Chinese adolescents were analyzed using structural equation modeling with bootstrapping and multi-group comparison. …”
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