Factor structure and measurement invariance of the TIMSS 2015 mathematics attitude questionnaire: Exploratory structural equation modelling approach by Şeyma Uyar

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Does the Grammatical Structure of Prompts Influence the Responses of Generative Artificial Intelligence? An Exploratory Analysis in Spanish by Rhoddy Viveros-Muñoz, José Carrasco-Sáez, Carolina Contreras-Saavedra, Sheny San-Martín-Quiroga, Carla E. Contreras-Saavedra

“…The results indicate that varied verbal moods and complex sentence structures significantly influence prompt evaluation, response quality, and response length. …”
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Psychometric evaluation of DASS versions among Spanish and Chinese teachers using exploratory structural equation modeling (ESEM) by Xue-heng Zhou, Zi-Zheng Shen, Cui-Hong Cao, Xiao-Ling Liao, Xing-Yong Jiang, Mark D. Griffiths, I-Hua Chen, Chung-Ying Lin, Olga Malas

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Assessing the Parenting Stress Index-Short Form (PSI-SF) for Latinx Parents of Children with Intellectual and Developmental Disabilities Within Exploratory Structural Equation Mode... by Hyeri Hong, Kristina Rios

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Cross-cultural measurement invariance of the BFI-15p in university students from Argentina, Spain, and Peru by César Merino-Soto, Sergio Dominguez-Lara, Lucas Marcelo Rodriguez, Guillermo M. Chans, Manuel Marti-Vilar

Subjects: “…Exploratory structural equation modeling…”
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Structural Equation Model-Based Selection and Strength Co-Relation of Variables for Work Performance Efficiency Under Traffic Noise Exposure by Manoj Mansing YADAV, Bhaven TANDEL

“…In this work, we integrated exploratory factor analysis (EFA) followed by structural equation modelling (SEM) to assess the work performance efficiency under the traffic noise environment for open shutter shopkeepers in the Indian urban context. 706 valid questionnaire responses by personal interviews in local language were collected from open shutter shopkeepers exposed to noise level (Leq) of 77 dBA for 12 to 14 hours daily. …”
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Psychometric properties of the Chinese version of the quality of nursing care scale among hospital nurses: a bifactor exploratory structural equation modeling analysis by Chiu-Shu Fang, Cheng-Hsien Li, Shu-Ching Ma, Fang-Ming Hwang, Maria Manuela Martins, Fan-Hao Chou

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Perceived urban environment elements associated with momentary and long-term well-being: An experience sampling method approach by Yu-Ru Chen, Atsushi Nakagomi, Masamichi Hanazato, Noriyuki Abe, Kazushige Ide, Katsunori Kondo

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Causality Orientations at Work Scale in the Finnish Working Context by Petri Karkkola, Anja H. Olafsen, Hallgeir Halvari

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The Impact of Extracurricular Activities on Pre-Service Teacher Professional Development: A Structural Equation Modeling Study by Funda Uysal

“…Data from 775 pre-service teachers (71.1% female) across multiple disciplines at a Turkish university were analyzed using structural equation modeling (χ²/df = 2.855, RMSEA = 0.049, CFI = 0.93, TLI = 0.92). …”
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Psychometric validation of the 20-item K-DOCS in Chinese adolescents: a multi-method approach by Cui-Hong Cao, Xue-Lian Wang, Yin-Ping Ji, I-Hua Chen

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Interpretive structural modeling (ISM) of risk management in Iran's construction industry by Hamed Shokri, Abbas Afrazeh

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Structural model of determinants of medication adherence in elderly individuals with tuberculosis in Iran by Somayeh Hassani, Farahnaz Mohammadi Shahboulagi, Mahshid Foroughan, Payam Tabarsi, Gholamreza Ghaedamini Harouni, Hamidreza Jamaati, Mohammad Varahram, Seyed Mohammad Seyedmehdi, Niloufar Alizadeh, Seyed Alireza Nadji

“…Additionally, the structural equation model revealed that the personal factor category had the greatest impact on predicting medication adherence compared to other categories. …”
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The Construction Industry in a War-Ravaged Region: Examination of Challenging Factors by Oluwasegun Emmanuel, Marta Białko, Vsevolod Nikolaiev

“…In total, 35 challenging factors were identified and classified using exploratory factor analysis (EFA). Using version 4 of Smart Partial Least Squares (PLS), structural equation modelling (SEM) was used to build the model, which produced seven constructs: economic, environment and education, government, industrial, sustainability, technology, training and support. 31 challenging factors were outlined under these constructs, with economic challenges such as high inflation, high-interest rates, and foreign direct investment (FDI) being the most critical of those observed. …”
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Epistemological beliefs in mathematics teacher educators: An exploratory study in Chile by Mirko Aguilar-Valdés, Helena Montenegro

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Introducing Exploratory Teaching in Preservice Teacher Education Through Lesson Study by Nicole Duarte, João Pedro da Ponte, Filipa Faria

“…Lesson study, with its focus on teachers’ collaborative and reflective work around issues of pupil learning, is a powerful formative process that may be used in preservice teacher education, sustaining an exploratory teaching approach. …”
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Psychometric properties and factor structure of the Persian version of worry questionnaire – Contrast avoidance model by Razieh Javaherirenani, Pantea Ahadianfard, Ahmad Ashouri

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Structured human-LLM interaction design reveals exploration and exploitation dynamics in higher education content generation by Pablo Flores Romero, Kin Nok Nicholas Fung, Guang Rong, Benjamin Ultan Cowley

“…Abstract Large Language Models (LLMs) present a radically new paradigm for the study of information foraging behavior. …”
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The development and validation of a multi-dimensional medical students’ learning self-efficacy questionnaire for clinical education by Chia-Ter Chao, Jyh-Chong Liang

“…Our MLSE model structure disclosed vital SE factors with intercorrelations associated with medical students’ learning processes during clinical education. …”
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Re-Evaluating Components of Classical Educational Theories in AI-Enhanced Learning: An Empirical Study on Student Engagement by László Bognár, György Ágoston, Anetta Bacsa-Bán, Tibor Fauszt, Gyula Gubán, Antal Joós, Levente Zsolt Juhász, Edina Kocsó, Endre Kovács, Edit Maczó, Anita Irén Mihálovicsné Kollár, Györgyi Strauber

“…Exploratory Factor Analysis (EFA) was utilized to uncover the underlying factor structure within a large set of variables, and Confirmatory Factor Analysis (CFA) was employed to verify the factor structure identified by EFA. …”
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