Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 3 |
Descriptor
Educational Assessment | 3 |
Structural Equation Models | 3 |
Student Attitudes | 3 |
Correlation | 2 |
Foreign Countries | 2 |
Predictor Variables | 2 |
Reliability | 2 |
Science Tests | 2 |
Academic Achievement | 1 |
Affective Objectives | 1 |
Comparative Analysis | 1 |
More ▼ |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 2 |
Grade 8 | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Elementary Secondary Education | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
More ▼ |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Wang, Jing-Ru; Chen, Shin-Feng; Fang, I.; Chou, Ching-Ting – International Journal of Science Education, 2014
This study used a Chinese-language version of the Index of Science Reading Awareness to explore the science reading metacognition and comprehension of Taiwanese students. Structural equation modelling results confirmed the underlying model comprised three clusters of metacognitive knowledge: beliefs and confidence in science reading, knowledge of…
Descriptors: Foreign Countries, Metacognition, Reading Comprehension, Science Instruction
Akilli, Mustafa – Online Submission, 2015
The aim of this study is to demonstrate the science success regression levels of chosen emotional features of 8th grade students using Structural Equation Model. The study was conducted by the analysis of students' questionnaires and science success in TIMSS 2011 data using SEM. Initially, the factors that are thought to have an effect on science…
Descriptors: Regression (Statistics), Science Achievement, Structural Equation Models, Secondary School Science
Sandler, Martin E. – Online Submission, 2010
Effective assessment of teaching and learning with technology requires a capacity to map learning outcomes. Student attitudes of the use of IT are measured in a structural equation model derived from an instrument based on the principles of undergraduate practice of Chickering and Ehrmann (1996). Institutional and background data are included. By…
Descriptors: Undergraduate Study, Student Attitudes, Academic Achievement, Path Analysis