Application exercisesA. Examine the data
set presented in Table 4.11 and use it to calculate all of the statistics needed
to fill in the results in Table 4.12. TABLE 4.11: SCORES ON PRETEST B
| STUDENT ID | SCORES (B) |
| 72113PREB | 41 | | 72417PREB | 40 |
| 72111PREB | 38 | | 72109PREB | 37 |
| 72403PREB | 36 | | 72415PREB | 36 |
| 72413PREB | 35 | | 72114PREB | 35 |
| 72103PREB | 34 | | 72410PREB | 34 |
| 72430PREB | 33 | | 72112PREB | 33 |
| 72404PREB | 32 | | 72425PREB | 32 |
| 72440PREB | 31 | | 72106PREB | 31 |
| 72414PREB | 31 | | 72104PREB | 30 |
| 72110PREB | 28 | | 72409PREB | 28 |
| 72420PREB | 28 | | 72422PREB | 27 |
| 72402PREB | 26 | | 72412PREB | 26 |
| 72101PREB | 26 | | 72423PREB | 25 |
| 72427PREB | 24 | | 72102PREB | 23 |
| 72429PREB | 16 | TABLE
4.12: PRETEST RESULTS FOR FORM B STATISTIC PRETEST
B N k M S LOW HIGH RANGE B. Examine
the results shown in Table 4.13. Which test has the largest number of students?
Which test has the highest central tendency? Which test has the most dispersion?
Which test appears to be normally distributed? Which one is negatively skewed?
Which one is positively skewed? TABLE 4.13: IMAGINARY RESULTS FOR THREE
FORMS OF A CRT
| STATISTIC | TEST A | TEST B | TEST C |
| N | 108 | 99 | 57 | | k | 100 | 100
| 100 | | M | 50.52 | 15.11 | 85.25
| | S | 15.16 | 14.10 | 13.95
| | LOW | 8 | 1 | 41 |
| HIGH | 82 | 60 | 99 | | RANGE | 75 | 60 | 59 |
C. Next, examine Table 4.14. You will note that it is exactly the
same as Table 4.8 except that the cut-point for passing or failing the test has
been changed to 80 percent. Recalculate the B-index, agreement statistic, and
item phi for each item. Be sure to carry out and round all operations to three
places to the right of the decimal point instead of the two places that we have
been using in the examples. Record your answers in the spaces provided in Table
4.15. How would you interpret these new indexes? And, how do they compare to the
results that were obtained when the cut-point was 70 percent (see Table 4.9)? TABLE
4.14: ITEM ANALYSIS DATA (FIRST 10 ITEMS ONLY) FOR APPLICATIONS EXERCISE
| STUDENTS | ITEMS | TOTAL | |
| | 1 2 3 4 5 6 7 8 9 10 etc | PERCENT | |
| Shira | 1 1 1 1 1 0 1 1 0 1 | 96
| | | Diana | 0
1 1 1 1 0 1 0 0 1 | 95 | |
| Kathy | 0 0 1 1 1 0
1 0 0 1 | 92 | |
| Kate | 1 0 1 1 1 0 0 0 0 1 | 91 | |
| Carolyn | 1 1 1 1 0 0 1 0 0 1 | 90
| | | Marsha | 1
0 1 1 0 1 1 1 0 1 | 90 | |
| Gabi | 0 1 1 1 1 0 1 0 0 1 | 88 | |
| Sasha | 1 0 1 1 0 0 1 0 0 1 | 80 | |
| Robert | 0 1 1 1 0 1 1 0 0 1 | 79 | |
| Eric | 0 1 1 1 0 1 0 0 0 1 | 72
| | | Michael | 1
0 0 1 1 1 1 1 0 1 | 67 | | | Thom | 1
0 0 1 0 1 0 1 0 1 | 66 | |
| Graham | 1 1 0 1 0 1 0 0 0 1 | 64
| | | James | 0
0 0 1 0 1 0 1 0 1 | 64 | |
| Byron | 0 0 0 1 0 1 1 0 0 0 | 61 | |
TABLE 4.15: ANSWERS FOR APPLICATION EXERCISE C ITEM ITEMS
STATISTIC 1 2 3 4 5 6 7 8 9 10 IFtotal
IFpassed IFfailed B A Ø |