Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Data Collection | 2 |
| Generalizability Theory | 2 |
| Likert Scales | 2 |
| Nonparametric Statistics | 2 |
| Statistical Significance | 2 |
| College Faculty | 1 |
| Data Analysis | 1 |
| Effect Size | 1 |
| Electronic Publishing | 1 |
| Error of Measurement | 1 |
| Faculty Development | 1 |
| More ▼ | |
Author
| Bartlett, Lesley Erin | 1 |
| Duffy, Ashlee Mills | 1 |
| Marshall, Margaret J. | 1 |
| Powell, Stephen | 1 |
| Simsek, Ahmet Salih | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 1 |
Audience
Location
| Alabama | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textSimsek, Ahmet Salih – International Journal of Assessment Tools in Education, 2023
Likert-type item is the most popular response format for collecting data in social, educational, and psychological studies through scales or questionnaires. However, there is no consensus on whether parametric or non-parametric tests should be preferred when analyzing Likert-type data. This study examined the statistical power of parametric and…
Descriptors: Error of Measurement, Likert Scales, Nonparametric Statistics, Statistical Analysis
Marshall, Margaret J.; Duffy, Ashlee Mills; Powell, Stephen; Bartlett, Lesley Erin – International Journal of ePortfolio, 2017
An ePortfolio Assessment Institute (AI) structured as a faculty development opportunity was undertaken to increase faculty confidence in teaching and assessing ePortfolios and to collect reliable data about student performance on four learning outcomes associated with an institutionwide ePortfolio initiative. Faculty raters participated in the…
Descriptors: Electronic Publishing, Portfolio Assessment, Faculty Development, Data Collection
