Basic Item Analysis for Multiple-Choice Tests (ERIC Digest).
ERIC Clearinghouse on Assessment and Evaluation. Provides suggestions for the improvement of multiple-choice tests using item analysis statistics. These statistics are typically provided by measurement services, where tests are machine-scored, as well as by testing software packages. |
Constructing Written Test Questions For the Basic and Clinical Sciences - Section IV.
National Board of Medical Examiners. Section of the manual specifically addressing Interpretation of Item Analysis Results (recommending 'pattern of response' analysis using traditional item analysis data), and Establishing a Pass/Fail Standard (describing the modified Ebel and Angoff procedures and the Hofstee Method). Full 181-page guide (PDF file). |
Item Analysis.
Runte, R. An overview of traditional item analysis, covering its purposes, needed sample sizes, basic steps, and interpretation of the results of teacher made tests using manual or computerized methods. Particularly good on the interpretation of item statistics using tabular examples. |
Item Bias Review (ERIC Digest).
ERIC Clearinghouse on Assessment and Evaluation. Discusses three issues to consider when evaluating items for bias--fairness, bias, and stereotyping. The issues are presented and sample review questions are posed. |
Test statistics.
Hulse, S.F.. Provides an overview of useful test statistics and their meaning. Discusses the Spearman-Brown and Kuder-Richardson methods for reliability analysis and the use of difficulty and discrimination indices to assess test items. Previously published in Radiologic Technology, 61, 139-141, 1989. |