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W. Holmes Finch – Educational and Psychological Measurement, 2024
Dominance analysis (DA) is a very useful tool for ordering independent variables in a regression model based on their relative importance in explaining variance in the dependent variable. This approach, which was originally described by Budescu, has recently been extended to use with structural equation models examining relationships among latent…
Descriptors: Models, Regression (Statistics), Structural Equation Models, Predictor Variables
Ismail Cuhadar; Ömür Kaya Kalkan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models. The current simulation study aims to address such needs by investigating the performance of estimation methods in the bifactor models with ordered categorical data. Results support…
Descriptors: Predictor Variables, Structural Equation Models, Sample Size, Evaluation Methods
Haixiang Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…
Descriptors: Structural Equation Models, Statistical Significance, Robustness (Statistics), Comparative Testing
Xijuan Zhang; Hao Wu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while…
Descriptors: Structural Equation Models, Goodness of Fit, Robustness (Statistics), Factor Structure
Analyzing Predictors of Perceived Graduate Employability from Sufficiency and Necessity Perspectives
Yin Ma; Dawn Bennett – Higher Education: The International Journal of Higher Education Research, 2024
This study aims to understand the sufficient, necessary, and critical factors of students' perceived employability (PE). It employs an innovative combination of Partial Least Squares Structural Equation Modeling (PLS-SEM), Necessary Condition Analysis (NCA), and Importance-Performance Matrix Analysis (IPMA). PE is conceptualized as five…
Descriptors: Predictor Variables, College Graduates, Employment Potential, Human Capital
Polat, Murat – Online Submission, 2023
This research focuses on better understanding the nature of pre-service teachers' four-frame leadership orientations. As it is known, the phenomenon of leadership still continues to be a research topic in the field of educational administration. But, these studies carried out on teachers and school administrators. As future teachers and school…
Descriptors: Preservice Teachers, Leadership Styles, Models, Gender Differences
Buske, Ramona – School Effectiveness and School Improvement, 2018
The study examines the correlation between collective innovativeness of the teaching staff and the principal's leadership style as well as additional school structure characteristics. The construct of collective innovativeness is examined as a precondition of successful school improvement processes driven by the teaching staff. Based on…
Descriptors: Least Squares Statistics, Instructional Innovation, Correlation, Leadership Styles
Owusu, Godfred Matthew Yaw; Ossei Kwakye, Teddy; Welbeck, Edem Emerald; Ofori, Charles Gyamfi – International Journal of Sustainability in Higher Education, 2017
Purpose: This study examines the multidimensionality of the environmental literacy concept among university business students in Ghana. The study also investigates the relationship between students' interests in environmental issues and knowledge levels of environment and assesses how these two constructs influence students overall environmental…
Descriptors: Business Administration Education, Literacy, Foreign Countries, Factor Analysis
Kuddar, Cagla; Cetin, Sevda – International Journal of Assessment Tools in Education, 2022
The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…
Descriptors: Mathematics Achievement, Structural Equation Models, Regression (Statistics), Achievement Tests
Kumar, Jeya Amantha; Bervell, Brandford – Education and Information Technologies, 2019
The study adopted a modified Unified Theory of Acceptance and Use of Technology2(UTAUT2) as a theoretical foundation to investigate students' initial perceptions of Google Classroom as a mobile learning platform. By including six non-linear relationships within the modified model, the study examined the nuances in interaction terms between Habit…
Descriptors: Technology Uses in Education, Electronic Learning, Higher Education, Student Attitudes
Saptono, Ari; Wibowo, Agus; Narmaditya, Bagus Shandy; Karyaningsih, Rr Ponco Dewi; Yanto, Heri – Cogent Education, 2020
Demanding new ventures has been a global challenge, and the government responds to this issue through entrepreneurial education. Among the increasing studies on entrepreneurship, there is a lack of empirical evidence examining how entrepreneurial education prepares students being entrepreneurs. This study elaborates on several predicted variables…
Descriptors: Entrepreneurship, Teaching Methods, Predictor Variables, Knowledge Level
He, Tao; Zhu, Chang; Questier, Frederik – Asia Pacific Education Review, 2018
Although the adoption of digital technology has gained considerable attention in higher education, currently research mainly focuses on implementation in formal learning contexts. Investigating what factors influence students' digital informal learning is still unclear and limited. To understand better university students' digital informal…
Descriptors: College Students, Multimedia Materials, Electronic Publishing, Informal Education
Kirikkanat, Berke; Soyer, Makbule Kali – European Journal of Educational Research, 2018
The major purpose of this study was to create a path analysis model of academic success in a group of university students, which included the variables of academic confidence and psychological capital with a mediator variable--academic coping. 400 undergraduates from Marmara University and Istanbul Commerce University who were in sophomore, junior…
Descriptors: Path Analysis, Undergraduate Students, Academic Achievement, Self Esteem
Xu, Lihua; Diket, Read; Brewer, Thomas – Arts Education Policy Review, 2018
This article describes a secondary analysis of the National Assessment of Educational Progress 2008 eighth-grade visual arts data (N = 3,912). These assessments occur under government mandate on a periodic schedule and data on the arts were collected in 1997 and again in 2008. The purpose of this study was to predict students' visual art response…
Descriptors: Predictor Variables, Academic Achievement, Least Squares Statistics, Structural Equation Models
Engelschalk, Tobias; Steuer, Gabriele; Dresel, Markus – Educational Psychology, 2017
Effective regulation of motivation can be theoretically explained by both the extent of motivational regulation strategies used (quantity) and their optimal implementation (quality). Researchers have not yet analysed the significance of both aspects for learning success simultaneously. In the present study, 188 students were presented with…
Descriptors: College Students, Student Motivation, Motivation Techniques, Regression (Statistics)

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