Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 5 |
Descriptor
Computer Software | 6 |
Factor Analysis | 6 |
Test Reliability | 6 |
Educational Technology | 3 |
Test Validity | 3 |
Attitude Measures | 2 |
Computer Uses in Education | 2 |
Data Analysis | 2 |
Foreign Countries | 2 |
Questionnaires | 2 |
Student Attitudes | 2 |
More ▼ |
Source
Educational and Psychological… | 1 |
International Journal of… | 1 |
Journal of Digital Learning… | 1 |
Sagamore-Venture | 1 |
Statistics Education Research… | 1 |
Turkish Online Journal of… | 1 |
Author
Aiken, Lewis R. | 1 |
Buchanan, Erin | 1 |
Counsell, Alyssa | 1 |
Ertugrul-Akyol, Buket | 1 |
Ndoye, Abdou | 1 |
Parker, Michele A. | 1 |
Ritzhaupt, Albert D. | 1 |
Rovetti, Joseph | 1 |
Suphi, Nilgun | 1 |
Vaske, Jerry J. | 1 |
Yaratan, Huseyin | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Books | 1 |
Information Analyses | 1 |
Numerical/Quantitative Data | 1 |
Reports - Descriptive | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
Canada | 1 |
Cyprus | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Counsell, Alyssa; Rovetti, Joseph; Buchanan, Erin – Statistics Education Research Journal, 2022
The current study sought to evaluate the SASTSc in two samples of students taking a statistics course that incorporates statistical software. The SASTSc was given at two time points, once at the beginning of the semester and then again at the end of the semester. Our evaluation included examining competing factor analytic models, examining…
Descriptors: Psychometrics, Student Attitudes, Statistics Education, Educational Technology
Ertugrul-Akyol, Buket – International Journal of Educational Methodology, 2019
Computational thinking is a way of thinking that covers 21st century skills and includes new generation concepts such as robotics, coding, informatics and information construction. Computational thinking has reached an important point especially in the field of science in line with the rapid developments in technology. Robotics applications,…
Descriptors: Computation, Thinking Skills, 21st Century Skills, Test Construction
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Yaratan, Huseyin; Suphi, Nilgun – Turkish Online Journal of Educational Technology - TOJET, 2013
Questionnaires administered manually can cause surreptitious peer pressure on the candidate to finish when 'the others" have completed theirs, forcing students to rush or skip individual items or may hinder the ability of
noticing participants who may be having difficulty understanding certain items. These drawbacks can have serious…
Descriptors: Synchronous Communication, Questionnaires, Computer Assisted Testing, Undergraduate Students
Ritzhaupt, Albert D.; Ndoye, Abdou; Parker, Michele A. – Journal of Digital Learning in Teacher Education, 2010
With the explosive growth of e-portfolios in teacher preparation programs, it is essential for administration and other relevant stakeholders to understand the student perspective of e-portfolios' organizational uses. This article describes the validation of the modified Electronic Portfolio Student Perspective Instrument (EPSPI). The analysis…
Descriptors: Portfolios (Background Materials), Preservice Teachers, Student Attitudes, Factor Analysis

Aiken, Lewis R. – Educational and Psychological Measurement, 1985
Three numerical coefficients for analyzing the validity and reliability of ratings are described. Each coefficient is computed as the ratio of an obtained to a maximum sum of differences in ratings. The coefficients are also applicable to the item analysis, agreement analysis, and cluster or factor analysis of rating-scale data. (Author/BW)
Descriptors: Computer Software, Data Analysis, Factor Analysis, Item Analysis