NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Garn, Alex C.; Webster, E. Kipling – Measurement in Physical Education and Exercise Science, 2018
The Test of Gross Motor Development--Second Edition (TGMD-2) is a widely used evaluation tool of children's fundamental motor skills (FMS). This study illustrates how exploratory structural equation modeling (ESEM) addresses current limitations associated with TGMD-2 factor structure. Using the normative dataset from the TGMD-2 manual, we test…
Descriptors: Motor Development, Performance Tests, Factor Structure, Structural Equation Models
Pawade, Yogesh R.; Diwase, Dipti S. – Journal of Educational Technology, 2016
Item analysis of Multiple Choice Questions (MCQs) is the process of collecting, summarizing and utilizing information from students' responses to evaluate the quality of test items. Difficulty Index (p-value), Discrimination Index (DI) and Distractor Efficiency (DE) are the parameters which help to evaluate the quality of MCQs used in an…
Descriptors: Test Items, Item Analysis, Multiple Choice Tests, Curriculum Development
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Büyükturan, Esin Bagcan; Sireci, Ayse – Journal of Education and Training Studies, 2018
Item discrimination index, which indicates the ability of the item to distinguish whether or not the individuals have acquired the qualities that are evaluated, is basically a validity measure and it is estimated by examining the fit between item score and the test score. Based on the definition of item discrimination index, classroom observation…
Descriptors: Foreign Countries, Classroom Observation Techniques, Scores, Test Items
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Marie, S. Maria Josephine Arokia; Edannur, Sreekala – Journal of Educational Technology, 2015
This paper focused on the analysis of test items constructed in the paper of teaching Physical Science for B.Ed. class. It involved the analysis of difficulty level and discrimination power of each test item. Item analysis allows selecting or omitting items from the test, but more importantly item analysis is a tool to help the item writer improve…
Descriptors: Item Analysis, Relevance (Education), Standardized Tests, Achievement Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Vaughn, Brandon K.; Wang, Qiu – Educational and Psychological Measurement, 2010
A nonparametric tree classification procedure is used to detect differential item functioning for items that are dichotomously scored. Classification trees are shown to be an alternative procedure to detect differential item functioning other than the use of traditional Mantel-Haenszel and logistic regression analysis. A nonparametric…
Descriptors: Test Bias, Classification, Nonparametric Statistics, Regression (Statistics)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Siko, Jason Paul – International Journal of E-Learning & Distance Education, 2014
In this study, the perceptions of parents (n = 14) and students (n = 47) enrolled in a blended learning course, the first of its kind at their school, were examined. Student performance in the blended and in the traditional portion of the course was examined, and the Educational Success Prediction Instrument (ESPRI) was administered to predict…
Descriptors: Blended Learning, Educational Technology, Distance Education, Electronic Learning
Lancaster, Diana M.; And Others – 1987
Difficulty and discrimination ability were compared between multiple choice and short answer items in midterm and final examinations for the internal medicine course at Louisiana State University School of Dentistry. The examinations were administered to 67 sophomore dental students in that course. Additionally, the impact of the source of the…
Descriptors: Dental Schools, Dentistry, Difficulty Level, Discriminant Analysis