#SOFTWARE ITEMAN SOFTWARE#

Xcalibre will provide all the IRT parameters in a spreadsheet, in addition to the primary Word report. If you have multiple forms, LOFT, or the вЂњtack-onвЂќ approach, you need to worry about IRT equating. If you have delivered all your items in a single block to examinees, like the example above with 500 people, then that single matrix can just be analyzed with Xcalibre. If not, Iteman is also available as a standalone program.Д«ecause CAT algorithms rely entirely on IRT parameters (unless you are doing special algorithms like diagnostic measurement models or measurement decision theory), we need to calculate the IRT parameters and get them into our testing platform. If you have a FastTest account the Iteman analysis report is now available at a single click.

#SOFTWARE ITEMAN SOFTWARE#

Our Iteman software is designed exactly for this process. This typically includes a review of items with low point-biserial correlations (poor discrimination), items where more examinees selected a distractor than the correct option (key flags), high or low classical P values, and differential item functioning (DIF) flags. Any steps that your organization normally does to review item performance is still relevant.

The purpose of this step is to ensure that items included in your future CAT are of high quality. Perform item analysis, DIF, and other due diligence You also need to Export -> Item Metadata for the test forms that you used, which becomes the вЂњcontrol fileвЂќ for your analysis in the next two steps. This is done using the Export ->Data Analysis Matrix option. If you do deliver the pilot phase with FastTest, you now need to export the data to be analyzed in psychometric analytic software. That is, you might have spreadsheets of data from a previous test delivery system, paper based delivery, or perhaps even already have your IRT parameters from past efforts. Of course, some of you might have existing data. Others might be constrained to still use current test forms and only tack on 20 new items onto the end of every examineeвЂ™s test. Other organizations might need to create 4 linear forms of 100 items with some overlap. That is, some organizations have a captive audience and might be able to have 500 people take all 300 items in their bank next week.

To do so, create test(s) in FastTest to deliver all your items in a matter that meets your practical situation. Now that you have some idea of how many items you need and in which ranges of difficulty and/or content constraints, you can leverage the powerful item authoring functionality of FastTest, as well as the item review and workflow management to ensure that subject matter experts are performing quality assurance on each other.Д«ecause IRT requires that you have data from real examinees to calibrate item difficulty, you need to get that data. For example, you might simulate CATs with three sizes of item bank, so you have a better idea how many items to write. If there are no roadblocks, the next step is to perform monte carlo simulations that help you scope out the project, using the CATSim software. For example, you need to have a decent sized item bank, data on hundreds of examinees (or the future opportunity), and items that are scoreable in real time. The first step, before doing anything else, is to confirm that your assessment meets the basic requirements of CAT. WeвЂ™ll now talk a little more about each of these. Perform item analysis and other due diligence There are nineВ steps to developing a CAT on our industry-leading platform, FastTest: Step If you have some background in IRT but CAT is new, please visit these resourcesДЄnd for videos that delve more deeply into IRT/CAT, If IRT is new to you, please visit these resources

Conditional standard error of measurement.

IRT models (e.g., 3PL, rating scale model).

Also, this article assumes you have mastered the concepts of item response theory and CAT, including: This approach is based on Thompson and Weiss (2011) model, refer there for a general treatment of CAT development, especially the use of simulation studies. Here, we outline the software, data analysis, and project management steps needed to develop and publish a CAT that aligns with best practices and international standards. Developing a sound, defensible CAT is not easy, but our goal is to make it as easy as possible вЂ“ that is, everything you need is available in clean software UI and you never have to write a single line of code. Computerized adaptive testing (CAT) has been around since the 1970s and is well-known for the benefits it can provide, most notably that it can reduce testing time 50-90% with no loss of measurement precision.

Software Iteman