Item difficulty modeling studies involve (a) hypothesizing item features, or item response demands, that are likely to predict item difficulty with some degree of accuracy; and (b) entering the features as independent variables into a regression equation or other statistical model to predict difficulty. In this review, we report findings from 13…

The effect of 3 item arrangements (easy to hard, hard to easy, and random) on test anxiety was studied using an actual classroom examination administered to 126 graduate students (36 males and 90 females) under power conditions. Results indicate that anxiety level and test item arrangement are related. (TJH)

The effect of using statistical and cognitive item difficulty to determine item order on multiple-choice tests was examined, using 120 undergraduate students. Students performed better when items were ordered by increasing cognitive difficulty rather than decreasing difficulty. The statistical ordering of difficulty had little effect on…

Current coaching practices used in training test wiseness for analogy items on standardized test batteries were investigated in a 3-group design involving about 100 undergraduates in each condition. The largest improvement came in items in the middle range of difficulty, but overall effects of coaching were important. (SLD)

Examined whether providing item review on a computerized adaptive test could be used by examinees to inflate their scores. Two studies involving 139 undergraduates suggest that examinees are not highly proficient at discriminating item difficulty. A simulation study showed the usefulness of a strategy identified by G. Kingsbury (1996) as a way to…

Studied the cognitive equivalence of computerized and paper-and-pencil reading comprehension tests using verbal protocol analysis. Results for 48 college students indicate that the only significant difference between the computerized and paper-and-pencil tests was in the frequency of identifying important information in the passage. (SLD)

The use of the "none-of-the-above" option (NOTA) in 20 college-level multiple-choice tests was evaluated for classes with 100 or more students. Eight academic disciplines were represented, and 295 NOTA and 724 regular test items were used. It appears that the NOTA can be compatible with good classroom measurement. (TJH)

Effects of altering test difficulty on examinee ability measures and test length in a computer adaptive test were studied for 225 medical technology students in 3 test difficulty conditions. Results suggest that, with an item pool of sufficient depth and breadth, acceptable targeting to test difficulty is possible. (SLD)