NotesFAQContact Us
Collection
Advanced
Search Tips
Education Level
Higher Education9
Postsecondary Education9
Elementary Education1
Secondary Education1
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 9 results Save | Export
Christopher Chippewa Tsavatewa – ProQuest LLC, 2023
This paper seeks to empirically validate a sector agonistic instrument that measures the perceived critical success factors in data governance. Twelve constructs (Leadership and Management Commitment; Leadership and Management Alignment; Executive Sponsorship; Robust Data Governance Strategy; Change Management; Training and Education; Governance…
Descriptors: Data, Governance, Stakeholders, Universities
Peer reviewed Peer reviewed
Direct linkDirect link
Spratto, Elisabeth M.; Leventhal, Brian C.; Bandalos, Deborah L. – Educational and Psychological Measurement, 2021
In this study, we examined the results and interpretations produced from two different IRTree models--one using paths consisting of only dichotomous decisions, and one using paths consisting of both dichotomous and polytomous decisions. We used data from two versions of an impulsivity measure. In the first version, all the response options had…
Descriptors: Comparative Analysis, Item Response Theory, Decision Making, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
Peer reviewed Peer reviewed
Direct linkDirect link
Legacy, Chelsey; Zieffler, Andrew; Fry, Elizabeth Brondos; Le, Laura – Statistics Education Research Journal, 2022
The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…
Descriptors: Statistics Education, Introductory Courses, Undergraduate Students, Teaching Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Fife, James H.; James, Kofi; Peters, Stephanie – ETS Research Report Series, 2020
The concept of variability is central to statistics. In this research report, we review mathematics education research on variability and, based on that review and on feedback from an expert panel, propose a learning progression (LP) for variability. The structure of the proposed LP consists of 5 levels of sophistication in understanding…
Descriptors: Mathematics Education, Statistics Education, Feedback (Response), Research Reports
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ernst, Jeremy V.; Bowen, Bradley D.; Williams, Thomas O. – American Journal of Engineering Education, 2016
Students identified as at-risk of non-academic continuation have a propensity toward lower academic self-efficacy than their peers (Lent, 2005). Within engineering, self-efficacy and confidence are major markers of university continuation and success (Lourens, 2014 Raelin, et al., 2014). This study explored academic learning self-efficacy specific…
Descriptors: Engineering, Engineering Education, College Freshmen, Academic Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Alweis, Richard L.; Fitzpatrick, Caroline; Donato, Anthony A. – Journal of Education and Training Studies, 2015
Introduction: The Multiple Mini-Interview (MMI) format appears to mitigate individual rater biases. However, the format itself may introduce structural systematic bias, favoring extroverted personality types. This study aimed to gain a better understanding of these biases from the perspective of the interviewer. Methods: A sample of MMI…
Descriptors: Interviews, Interrater Reliability, Qualitative Research, Semi Structured Interviews
Peer reviewed Peer reviewed
Direct linkDirect link
Yorke, Mantz; Orr, Susan; Blair, Bernadette – Studies in Higher Education, 2014
There has long been the suspicion amongst staff in Art & Design that the ratings given to their subject disciplines in the UK's National Student Survey are adversely affected by a combination of circumstances--a "perfect storm". The "perfect storm" proposition is tested by comparing ratings for Art & Design with those…
Descriptors: Student Surveys, National Surveys, Art Education, Design
Peer reviewed Peer reviewed
Direct linkDirect link
Sockalingam, Nachamma; Schmidt, Henk G. – Interdisciplinary Journal of Problem-based Learning, 2011
This study aimed to identify salient problem characteristics perceived by students in problem-based curricula. To this end, reflective essays from biomedical students (N = 34) on characteristics of good problems were text-analyzed. Students identified eleven characteristics, of which they found the extent to which the problem leads to desired…
Descriptors: Problem Based Learning, Student Attitudes, Essays, Biological Sciences