Table 2 Multiple-choice distractor plot |
(controlled by T2SELECT=, MRANGE=)
The codes for the response options (distractors) are located according to the measures corresponding to them. Each subtable is presented two ways: with the response code itself (or one of them if several would be in the same place), e.g., Table 2.1, and with the score corresponding to the option, e.g. Table 2.11 (numbered 10 subtables higher).
Table 2 for polytomous items.
Table 2.1: shows the most probable response on the latent variable. In this example, for item "al07", "a" (or any other incorrect option) is most probable up to 3.2 logits, when "d", the correct response, becomes most probable according to the Rasch model.
TABLE 2.1: MOST PROBABLE RESPONSE: MODE (BETWEEN "0" AND "1" IS "0", ETC.) (ILLUSTRATED BY AN OBSERVED CATEGORY)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
a d d 55* al07 newspaper
a c c 64 sa01 magazine
......
b a a 12 nm07 sign on wall
a d d 10 nm05 public place
|------+------+------+------+------+------+------+------| NUM TOPIC
-4 -3 -2 -1 0 1 2 3 4
1 11 1111 111 212 3 2 12 12 1 1 2 STUDENTS
T S M S T
0 10 20 30 40 50 60 70 80 90 99 PERCENTILE
M = Mean, the average of the person measures, S = One Standard Deviation from the mean, T = Two P.SDs. from the mean. Percentile is percentage below the specified position.
* after the item entry NUMber indicates that the item difficulty is anchored.
Table 2.11 is the same as Table 2.1, but the options are shown by their scored values, not by their codes in the data.
TABLE 2.11: MOST PROBABLE RESPONSE: MODE (BETWEEN "0" AND "1" IS "0", ETC.) (BY CATEGORY SCORE)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
0 1 1 55 al07 newspaper
0 1 1 64 sa01 magazine
Table 2.2: shows the predicted average response on the latent variable. In this example, for item "al07", "a" (or any other incorrect option) is the predicted average response up to 3.2 logits, then "d", the correct response, becomes the average predictions. The ":" is at the transition from an average expected wrong response to an average expected "right" response, i.e., where the predicted average score on the item is 0.5, the Rasch-half-point thresholds. The "a" below "2" is positions where the expected average score on the item is 0.25. Similarly "d" would be repeated where the expected average score on the item is 0.75, according to the Rasch model.
TABLE 2.2 EXPECTED SCORE: MEAN (":" INDICATES HALF-POINT THRESHOLD) (ILLUSTRATED BY AN OBSERVED CATEGORY)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
a a : d 55 al07 newspaper
a a : c 64 sa01 magazine
Table 2.12 is the same as Table 2.2, but the options are shown by their scored values, not by their codes in the data.
TABLE 2.12 EXPECTED SCORE: MEAN (":" INDICATES HALF-POINT THRESHOLD) (BY CATEGORY SCORE)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
0 0 : 1 55 al07 newspaper
0 0 : 1 64 sa01 magazine
Table 2.3 shows the Rasch-Thurstonian thresholds = 50% cumulative probability points. The lower category ("a" and other wrong answers) has a greater than 50% probability of being observed up to 3.2 logits, when "d", the correct answer, has a higher than 50% probability.
TABLE 2.3 50% CUMULATIVE PROBABILITY (Rasch-Thurstonian THRESHOLD): MEDIAN (ILLUSTRATED BY AN OBSERVED CATEGORY)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
a d d 55 al07 newspaper
a c c 64 sa01 magazine
Table 2.13 is the same as Table 2.3, but the options are shown by their scored values, not by their codes in the data.
TABLE 2.13 50% CUMULATIVE PROBABILITY (Rasch-Thurstonian THRESHOLD): MEDIAN (BY CATEGORY SCORE)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
0 1 1 55 al07 newspaper
0 1 1 64 sa01 magazine
Table 2.4 shows the item difficulties (or more generally the Rasch-Andrich thresholds) coded by the option of the higher category. For item "al07" this is "d", the correct option.
TABLE 2.4 STRUCTURE MEASURES (RASCH-ANDRICH THRESHOLDS: equal-adjacent-probability thresholds) (ILLUSTRATED BY AN OBSERVED CATEGORY)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
| d | 55 al07 newspaper
| c | 64 sa01 magazine
Table 2.14 is the same as Table 2.4, the Rasch-Andrich thresholds, but the options are shown by their scored values, not by their codes in the data.
TABLE 2.14 STRUCTURE MEASURES (RASCH-ANDRICH THRESHOLDS: equal-adjacent-probability thresholds) (BY CATEGORY SCORE)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
| 1 | 55 al07 newspaper
| 1 | 64 sa01 magazine
Table 2.5 shows the average measures of persons choosing wrong distractors (illustrated by one of the wrong distractors, "a") and the average measures or persons choosing a correct distractor (illustrated by one of the correct distractors, "d").
TABLE 2.5 OBSERVED AVERAGE MEASURES FOR STUDENTS (scored) (ILLUSTRATED BY AN OBSERVED CATEGORY)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
| a d 55 al07 newspaper
| a c | 64 sa01 magazine
Table 2.15 is the same as Table 2.5, but the options are shown by their scored values, not by their codes in the data.
TABLE 2.15 OBSERVED AVERAGE MEASURES FOR STUDENTS (scored) (BY CATEGORY SCORE)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
| 0 1 55 al07 newspaper
| 0 1 | 64 sa01 magazine
Table 2.6, shown first from the Diagnosis menu, shows the average measures from Table 14.3 of the persons choosing each distractor. "m" usually indicates the average measure of persons with missing data. Table 2.6 shows the average ability of the group of examinees who chose each option. Table 2.15 (above) shows the average ability of the people who got an item right and wrong. Table 2.5 (above again) has the right and wrong scoring illustrated with specific MCQ options. If there are more than one correct or incorrect option, only one of each is shown.
TABLE 2.6 OBSERVED AVERAGE MEASURES FOR STUDENTS (unscored) (BY OBSERVED CATEGORY)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
| m ab c d 55 al07 newspaper
| m d c | 64 sa01 magazine
Code for unidentified missing data: m
Table 2.16 is the same as Table 2.6, but the options are shown by their scored values, not by their codes in the data.
TABLE 2.16 OBSERVED AVERAGE MEASURES FOR STUDENTS (unscored) (BY CATEGORY SCORE)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
| m 00 0 1 55 al07 newspaper
| m 0 1 | 64 sa01 magazine
Table 2.7 shows the measures that would be predicted to be observed for incorrect and correct responses if the persons responded exactly as the Rasch model predicts. "a" (an incorrect distractor) shows the average measure for persons in the sample who would be predicted to fail the item, and "d" (a correct distractor) shows the average measure for persons in the sample who would be predicted to succeed on the item.
TABLE 2.7 EXPECTED AVERAGE MEASURES FOR STUDENTS (scored) (ILLUSTRATED BY AN OBSERVED CATEGORY)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
| a d| 55 al07 newspaper
| a c 64 sa01 magazine
Table 2.17 is the same as Table 2.7, but the options are shown by their scored values, not by their codes in the data.
TABLE 2.17 EXPECTED AVERAGE MEASURES FOR STUDENTS (scored) (BY CATEGORY SCORE)
-4 -3 -2 -1 0 1 2 3 4
|------+------+------+------+------+------+------+------| NUM TOPIC
| 0 1| 55 al07 newspaper
| 0 1 64 sa01 magazine
Help for Winsteps Rasch Measurement and Rasch Analysis Software: www.winsteps.com. Author: John Michael Linacre
Facets Rasch measurement software.
Buy for $149. & site licenses.
Freeware student/evaluation Minifac download Winsteps Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation Ministep download |
---|
Forum: | Rasch Measurement Forum to discuss any Rasch-related topic |
---|
Questions, Suggestions? Want to update Winsteps or Facets? Please email Mike Linacre, author of Winsteps mike@winsteps.com |
---|
State-of-the-art : single-user and site licenses : free student/evaluation versions : download immediately : instructional PDFs : user forum : assistance by email : bugs fixed fast : free update eligibility : backwards compatible : money back if not satisfied Rasch, Winsteps, Facets online Tutorials |
---|
Our current URL is www.winsteps.com
Winsteps® is a registered trademark