NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chowdhury, Pinaki – Online Submission, 2021
Collecting data on learners' performance in different chemistry contents and analysing them to identify their knowledge and understanding in related content areas is a major task of Chemistry Education Research. The data collection process on the learners' content knowledge and understanding of content knowledge requires a standard measuring tool.…
Descriptors: Data Collection, Standards, Chemistry, Scientific Concepts
Soysal, Sümeyra; Arikan, Çigdem Akin; Inal, Hatice – Online Submission, 2016
This study aims to investigate the effect of methods to deal with missing data on item difficulty estimations under different test length conditions and sampling sizes. In this line, a data set including 10, 20 and 40 items with 100 and 5000 sampling size was prepared. Deletion process was applied at the rates of 5%, 10% and 20% under conditions…
Descriptors: Research Problems, Data Analysis, Item Response Theory, Test Items
Custer, Michael – Online Submission, 2015
This study examines the relationship between sample size and item parameter estimation precision when utilizing the one-parameter model. Item parameter estimates are examined relative to "true" values by evaluating the decline in root mean squared deviation (RMSD) and the number of outliers as sample size increases. This occurs across…
Descriptors: Sample Size, Item Response Theory, Computation, Accuracy
Chavez, Oscar; Papick, Ira; Ross, Dan J.; Grouws, Douglas A. – Online Submission, 2010
The purpose of this paper was to describe the process of development of assessment instruments for the Comparing Options in Secondary Mathematics: Investigating Curriculum (COSMIC) project. The COSMIC project was a three-year longitudinal comparative study focusing on evaluating high school students' mathematics learning from two distinct…
Descriptors: Mathematics Education, Mathematics Achievement, Interrater Reliability, Scoring Rubrics