Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Data Interpretation | 2 |
| Factor Structure | 2 |
| Chemistry | 1 |
| College Science | 1 |
| Expectation | 1 |
| Factor Analysis | 1 |
| Goodness of Fit | 1 |
| Learning | 1 |
| Measures (Individuals) | 1 |
| Reliability | 1 |
| Research Problems | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Oregon (Portland) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Elizabeth B. Vaughan; A. Montoya-Cowan; Jack Barbera – Chemistry Education Research and Practice, 2024
The Meaningful Learning in the Laboratory Instrument (MLLI) was designed to measure students' expectations before and after their laboratory courses and experiences. Although the MLLI has been used in various studies and laboratory environments to investigate students' cognitive and affective laboratory expectations, the authors of the instrument…
Descriptors: Test Validity, Test Reliability, Expectation, Measures (Individuals)
Peer reviewedMerenda, Peter F. – Measurement and Evaluation in Counseling and Development, 1997
Offers suggestions for proper procedures for authors to use--and some pitfalls to avoid--when writing studies using factor analysis methods. Discusses distinctions among different methods of analysis, the adequacy of factor structure, and other notes of caution. Encourages authors to ensure that their research is statistically sound. (RJM)
Descriptors: Data Interpretation, Factor Analysis, Factor Structure, Reliability

Direct link
