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Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Structural equation modeling (SEM) is a statistical method widely used in educational research to investigate relationships between variables. SEM models are typically constructed based on theoretical foundations and assessed through fit indices. However, a well-fitting SEM model alone is not sufficient to verify the causal inferences underlying…
Descriptors: Structural Equation Models, Statistical Analysis, Educational Research, Causal Models
Vázquez-Bernal, Bartolomé; Jiménez-Pérez, Roque – Science & Education, 2023
The objective of this work was the theoretical modeling of a construct based on teaching practice about the perception that pupils have of difficulties in problem solving (PS) in experimental sciences, specifically physics, to predict pupil performance in PS. The research was carried out with an incidental sample of second year of secondary…
Descriptors: Teaching Methods, Models, Teacher Attitudes, Science Instruction
Morley, Alicen; Nissen, Jayson M.; Van Dusen, Ben – Physical Review Physics Education Research, 2023
Instructors and researchers often use research-based assessments to identify the impact of instructional activities. These investigations often focus on issues of diversity, equity, and inclusions by comparing outcomes across social identity groups (e.g., gender, race, and class). Comparisons across groups assume the assessments measure the same…
Descriptors: Error of Measurement, Racial Differences, Gender Differences, Test Validity
Tan, Seref; Ipek, Zeki; Atik, Ali Derya; Erkoc, Figen – International Journal of Assessment Tools in Education, 2021
The main aim of this study is to examine the measurement invariance of the structural equating model constructed on the Awareness and Exposure subscales of Nanoscience and Nanotechnology Awareness Scale (NSTAS) test for three teacher branches, three school types, and two genders by using the covariance structural analysis to test configural and…
Descriptors: Science Teachers, Teacher Characteristics, Structural Equation Models, Measures (Individuals)
Zeyer, Albert – Journal of Research in Science Teaching, 2018
The present study is based on a large cross-cultural study, which showed that a systemizing cognition type has a high impact on motivation to learn science, while the impact of gender is only indirect thorough systemizing. The present study uses the same structural equation model as in the cross-cultural study and separately tests it for physics,…
Descriptors: Learning Motivation, Gender Differences, Difficulty Level, Physics
Mustafa Alpaslan, Muhammet – Journal of Educational Research, 2019
The gender gap continues to exist in physics education. The author examines the gender-related differences in the relations and strengths among personal epistemologies, motivation, and achievement in physics among Turkish high school students. Established questionnaires were used to identify students' personal epistemologies, motivations and…
Descriptors: Physics, Gender Differences, Science Achievement, High School Students
Sideridis, Georgios D.; Tsaousis, Ioannis; Alamri, Abeer A. – Educational and Psychological Measurement, 2020
The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of…
Descriptors: Bayesian Statistics, Structural Equation Models, Foreign Countries, Error of Measurement
Kwarikunda, Diana; Schiefele, Ulrich; Ssenyonga, Joseph; Muwonge, Charles Magoba – African Journal of Research in Mathematics, Science and Technology Education, 2020
Motivation and interest affect students' learning especially in Physics, a subject learners perceive as abstract. The present study was guided by three objectives: (a) to adapt and validate the Science Motivation Questionnaire (SMQ-II) for the Ugandan context; (b) to examine whether there are significant differences in motivation for learning…
Descriptors: Correlation, Learning Motivation, Student Interests, Science Education
Šorgo, Andrej; Dojer, Brina; Golob, Nikolaja; Repnik, Robert; Repolusk, Samo; Pesek, Igor; Ploj Virtic, Mateja; Špernjak, Andreja; Špur, Natalija – Journal of Research in Science Teaching, 2018
The shortage of qualified STEM teachers and researchers in these fields can be recognized as an existing and forthcoming problem. The aim of the present study was to explore the influence of the content of STEM subjects Biology, Chemistry, Informatics, Mathematics, Physics, and Technics and Technology and corresponding classroom experiences, as…
Descriptors: Opinions, STEM Education, Predictor Variables, Student Attitudes
Hardy, Graham – Research in Science Education, 2014
In this study, the author developed a model to describe academic self-concept (ASC) in science and validated an instrument for its measurement. Unlike previous models of science ASC, which envisage science as a homogenous single global construct, this model took a multidimensional view by conceiving science self-concept as possessing distinctive…
Descriptors: Academic Achievement, Self Concept, Guidelines, Models
Sen, Senol; Yilmaz, Ayhan – Science Education International, 2016
The objective of this study is to analyze the relationship between preservice teachers' time and study environment management, effort regulation, self-efficacy beliefs, control of learning beliefs and metacognitive self-regulation. This study also investigates the direct and indirect effects of metacognitive self-regulation on time and study…
Descriptors: Structural Equation Models, Preservice Teachers, Self Efficacy, Self Control
Kapucu, Serkan; Bahçivan, Eralp – Research in Science & Technological Education, 2015
Background: There are some theoretical evidences that explain the relationships between core beliefs (i.e., epistemological beliefs) and peripheral beliefs (self-efficacy in learning) in the literature. The close relationships of such type of beliefs with attitudes are also discussed by some researchers. Constructing a model that investigates…
Descriptors: High School Students, Epistemology, Self Efficacy, Science Instruction
Henderson, Rachel; Stewart, Gay; Stewart, John; Michaluk, Lynnette; Traxler, Adrienne – Physical Review Physics Education Research, 2017
The "gender gap" on various physics conceptual evaluations has been extensively studied. Men's average pretest scores on the Force Concept Inventory and Force and Motion Conceptual Evaluation are 13% higher than women's, and post-test scores are on average 12% higher than women's. This study analyzed the gender differences within the…
Descriptors: Gender Differences, Scientific Concepts, Energy, Magnets
González, Antonio; Fernández, María-Victoria Carrera; Paoloni, Paola-Verónica – Journal of Research in Science Teaching, 2017
Recent research on achievement in science asserts that motivation, emotion, and metacognition are important driving forces for learning. This study sought to examine the relationships between two physics class emotions (hope and anxiety), their motivational predictors (instrumentality and self-efficacy), and their effects on metacognitive problem…
Descriptors: Psychological Patterns, Anxiety, Physics, Learning Motivation
Godwin, Allison; Potvin, Geoff; Hazari, Zahra; Lock, Robynne – Journal of Engineering Education, 2016
Background: Prior to college, many students have no experience with engineering, but some ultimately choose an engineering career. Women choose engineering at lower rates than men. This article uses critical engineering agency (CEA) to understand first-year students' attitudes and self-beliefs to predict the choice of an engineering career.…
Descriptors: Engineering Education, Career Choice, Structural Equation Models, Student Attitudes