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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
Rankin, Jenny Grant – Online Submission, 2014
The benefits of making data-informed decisions to improve learning rely on educators correctly interpreting given data. Many educators routinely misinterpret data, even at districts with proactive support for data use. The tool most educators use for data analyses, which is an information technology data system or its reports, typically reports…
Descriptors: Data Analysis, Information Systems, Information Utilization, Guides
Reporting Data with "Over-the-Counter" Data Analysis Supports Increases Educators' Analysis Accuracy
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…
Descriptors: Statistical Data, Data Interpretation, Data Analysis, Error of Measurement
Alakurt, Turgay; Bardakci, Salih; Keser, Hafize – Online Submission, 2012
In this study, Turkish ICT student teachers' judgments and justifications in four scenarios involving ICT-related ethical problems were investigated. Scenarios were designed based on Mason's (1986) four ethical issues: privacy, accuracy, property and accessibility. The study was carried out in the fall of 2010. We used the critical incidents…
Descriptors: Foreign Countries, Evaluative Thinking, Preservice Teacher Education, Vignettes