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NRTs and CRTs. Group members: Camila, Ariel, Annie, William. NRTs—Norm-referenced Item Analysis. Item facility Item discrimination. Why do we do item analysis?. Assemble a large number of items of the type you want on the test make sure the items are well written and clear
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NRTs and CRTs Group members: Camila, Ariel, Annie, William
NRTs—Norm-referenced Item Analysis • Item facility • Item discrimination
Why do we do item analysis? • Assemble a large number of items of the type you want on the test • make sure the items are well written and clear • Pilot the items • Analyze the results of the pilot testing • Select the most effective items/get rid of the ineffective items or revise the weak ones
The basic purpose of NRTs • To spread students out along a general continuum of language abilities making aptitude, proficiency, or placement decisions
Two item statistics used in IA of NRTS • Item facility(IF):the proportion of students who answered a particular item correctly. 45/50=.90---90% of the students answered the item correctly—the item is very easy • Item discrimination(ID):Caculate IF for the upper group and the lower group using AVERAGE (C2:C6) and AVERAGE (C15:C19) ID=IFu-IFl ex: IFu-IFl=.20
Item Discrimination (ID) • can be calculated by first figuring out who the upper and lower students are on the test • using their total scores to sort them from the highest score to the lowest • Equal numbers of students in three groups—high/middle/low • ID=Ifupper - Iflower
Ideal items in an NRT • Should have an average IFof .50 50% of the students answered correctly and 50% of them answered incorrectly • In reality, items rarely have an IF of exactly .50 • Those that fall in a range between .30 and .70 are usually considered acceptable for NRT purpose
Items within .30 to .70 range • The items among them that have the highest IDs should be further selected for inclusion in the revised test. • This process would help the test designer to keep only those items that are well centered and discriminate well between the high and the low scoring students
Conclusion for NRT • IF and ID are only appropriate for developing and analyzing norm-referenced tests • Used at the institutional level overall English language proficiency tests or placement tests • Not appropriate for developing and analyzing classroom oriented criterion-referenced tests like the diagnostic, progress, and achievement tests
CRTs-Criterion-referenced Item Analysis • Purpose of CRTs—to measure the amount (or percent) of material in a course or program of study that students know • Usually for purposes of making diagnostic, progress, or achievement
Two item statistics used in IA of CRTs 1.The difference index(DI):the item facility on the particular item for the posttest minus the item facility for that same item on the pretest pretest:10/50=.20; posttest:45/50=.90 DI=.90-.20=.70 • DI tells how much the students are improving between the pretest and posttest on each item • The higher the value of the DI, the better. • A value of 1.00 is a perfect difference index
Two item statistics used in IA of CRTs 2.The B-index:the item facility on the particular item for the students who passed the test minus the item facility for the students who failed • The B-index show how well each item is contributing to the pass/fail decisions that are often made with CRTs B-index=IFpass - IFfail=14/14-0/6=1.0-.00=1
P.21 • The B-index tell us how well each item is contributing to the pass/fail decision on this test at the cut-point. • Like ID and DI statistics, the higher the B-index, the better. • A perfect B-index would be 1.00.
Conclusion-CRTs • When should these indices be used? To analyze the items on a CRTs for purposes of revising the test • The items with the highest values should generally be kept in both cases, DI and BI • Making these decisions not as simple as it is for NRT development, because a CRT item may not be performing well in terms of these statistics for many reasons.
Reasons that a CRT item may not be performing well • The item is written/ working poorly • The objective the item is testing is vague • Ss are not ready to learn this particular objective • One/ all of the teachers did not teach this particular objective or teaching it poorly • The materials are confusing with regard to this particular objective • The statistics cannot tell you exactly what is wrong even though they can point you to places in your curriculumwhere something is not working well
Some common-sense analysis of the entire situation needs to be done • To revise the CRT or other aspects of your curriculum such as the objectives, the materials, the teaching, etc.,
What the statistics help you? • Help you figure out where to focus your energies • The DI will tell you how well each item fits the objectives of your curriculum • The BI will tell you how each item is contributing to the pass/fail decision that you must make at whatever cut-point you are using.
2 Definitions for “Criterion” in CRT 1.Refers to the material being taught in the course --CRT would assess the particular learning points of a particular course or program • This definition fits very well with the difference index, which indicates how well each item fits objectives of the curriculum
2 Definitions for “Criterion” in CRT 2. The standard of performance (or cut-point for decision making) that is expected for passing the test/course --CRTs –used to assess whether students pass or fail at a certain criterion level (or cut-point) • Fits very well with the B-index, which indicates how well each item is contributing to the pass/fail decision that you must make at whatever cut-point your are making
What should you focus? • If you are interested in the degree to which your items are reflecting the material in your course….DI • If you are interested in the degree to which your items are helping you make decisions at a certain cut-point…BI • If you are interested in both statistics…DI and BI
What should they not be used? • Not used to analyze the effectiveness of norm-referenced items
What is the Ultimate Goal? • To produce a curriculum and CRTs that match each other such that you get high difference indexes and high B-indexes.