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RIT 101: Understanding
   Scores from MAP


       Steven L. Wise
   Senior Research Fellow
RIT 101

•   Unique features of the RIT scales
•   Calibrating items for MAP
•   The RIT scale and adaptive testing
•   Scoring a test
•   Interpretation of scores




                                         2
Unique Features of RIT Scales

•   Equal Interval
•   Cross Graded
•   Stable over time
•   Allows us to assess change (growth) over time
•   Allows us to develop item banks
•   Allows us to give tests specific to student
    needs

                                                    3
How do we use the RIT scale?

• The RIT scale is the platform upon which both
  new items are calibrated, a test is chosen for a
  student and a student’s score is computed and
  interpreted.
• MAP is a computerized adaptive test (CAT),
  which means that each student receives a test
  that is tailored to his/her level of proficiency.


                                                  4
Item Calibration

• Item calibration is the process by which we
  figure out how difficult an item is.
• This is extremely useful in both building an
  item bank and administering a CAT
• Based on item response theory—specifically,
  the Rasch model.
  – Specifies the relationship between a student’s
    proficiency level and his/her chances of passing
    the item.
                                                       5
How do we decide a new
                  item’s difficulty?
• Some items are more difficult than others.
• We figure out an item’s difficulty by field
  testing it during live test events.
• We then consider how many students got the
  item right relative to their standing on the RIT
  scale.



                                                     6
A Basic Math Item: 5 + 5 = ?

                    1.0
                    0.9
ProportionCorrect

                    0.8
                    0.7
                    0.6
                    0.5
                    0.4
                    0.3
                    0.2
                    0.1
                    0.0
                       120   170         220   270
                                   RIT
                                                     7
Fitting a Rasch Curve

                    1.0
                    0.9
ProportionCorrect


                    0.8
                    0.7
                    0.6
                    0.5
                    0.4
                    0.3
                    0.2
                    0.1
                    0.0
                       120     170         220   270
                                     RIT
                                                       8
Item Difficulty: the RIT value at which we
                     expect half of the students to pass the item.

                    1.0
                    0.9
ProportionCorrect

                    0.8
                    0.7
                    0.6
                    0.5
                    0.4
                    0.3
                    0.2
                    0.1
                    0.0
                       120       170          220      270
                                        RIT
Difficulty = 170
                                                                9
The Item Bank

• Once an item has been calibrated, it (along
  with its difficulty) will be added to the MAP
  item bank.
• MAP banks contain thousands of test items.
• Large item banks are essential for using CAT.




                                                  10
Scoring a Test

• The scoring of a student’s test under the Rasch
  model takes into account two things:
   – how difficult the items were the student received
   – how she did on those items
• A standard method of scoring is called “maximum
  likelihood”
   – This just means, “What is the most likely RIT score for a
     student who performed as she did on the items she
     received?”
• Conceptually, this is not as complicated as it sounds.
                                                                 11
A One-item Test
                       1

                      0.9

                      0.8

                      0.7
 Proportion Correct




                      0.6

                      0.5

                      0.4

                      0.3

                      0.2

                      0.1

                       0
                            130   140   150   160   170   180   190   200   210   220   230   240   250   260   270

                                                                      RIT

If this item was passed, what are the most likely values of the student’s RIT?
What are the least likely values?                                                                               12
A Two-item Test
                       1

                      0.9

                      0.8

                      0.7
 Proportion Correct




                      0.6

                      0.5

                      0.4

                      0.3

                      0.2

                      0.1

                       0
                            130   140   150   160   170   180   190   200   210   220   230   240   250   260   270

                                                                      RIT


What if the Blue item was passed and the Red Item was failed?                                                   13
A Three-item Test
                         1

                        0.9

                        0.8

                        0.7
   Proportion Correct




                        0.6

                        0.5

                        0.4

                        0.3

                        0.2

                        0.1

                         0
                              130   140   150   160   170   180   190   200   210   220   230   240   250   260   270

                                                                        RIT

What if the Blue and Green items were passed and the Red Item was failed?
                                                                                                                  14
Maximum Likelihood Scoring
                  and CAT
• Notice that item difficulty and student scores
  are on the same scale (RIT).
• The best measurement occurs when students
  are given items whose difficulties are well
  matched to their proficiency levels.
• This is what a CAT does. It tailors the test to
  each student by adjusting item difficulty.
• Result: all students can be measured with
  equal precision.
                                                    15
How a CAT Works

1. Pick an item of appropriate starting difficulty.
2. The item is presented & answered by the
   student.
3. If answer is right, choose a harder item to give
   next. If answer is wrong, choose an easier item
   to give next.
4. Repeat steps 2 & 3 until enough items have
   been given.
5. Calculate the student’s RIT score.
                                                16
Interpreting a RIT Score

• How is a student’s RIT score interpreted?
• A RIT score in math of, say 221, by itself is not
  interpretable.
• We need to have one or more reference
  points to interpret a score.




                                                      17
Reference Points for a Spring
                 RIT Score of 221 in Math
• Normative: Shauna’s 221 is at the 62nd percentile
  relative to other 5th grade students.
• Growth: She has gained 13 RIT points since fall MAP
  testing. Typical growth for students starting at the
  same level was 9 points.
• Predictive: Her score indicates that she is on track to
  being college ready by the 12th grade.
• Content: DesCartes provides information about
  which skills Shauna is currently ready to learn.

                                                        18
Thank you for
  your attention.
steve.wise@nwea.org

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RIT 101: Understanding Scores From MAP

  • 1. RIT 101: Understanding Scores from MAP Steven L. Wise Senior Research Fellow
  • 2. RIT 101 • Unique features of the RIT scales • Calibrating items for MAP • The RIT scale and adaptive testing • Scoring a test • Interpretation of scores 2
  • 3. Unique Features of RIT Scales • Equal Interval • Cross Graded • Stable over time • Allows us to assess change (growth) over time • Allows us to develop item banks • Allows us to give tests specific to student needs 3
  • 4. How do we use the RIT scale? • The RIT scale is the platform upon which both new items are calibrated, a test is chosen for a student and a student’s score is computed and interpreted. • MAP is a computerized adaptive test (CAT), which means that each student receives a test that is tailored to his/her level of proficiency. 4
  • 5. Item Calibration • Item calibration is the process by which we figure out how difficult an item is. • This is extremely useful in both building an item bank and administering a CAT • Based on item response theory—specifically, the Rasch model. – Specifies the relationship between a student’s proficiency level and his/her chances of passing the item. 5
  • 6. How do we decide a new item’s difficulty? • Some items are more difficult than others. • We figure out an item’s difficulty by field testing it during live test events. • We then consider how many students got the item right relative to their standing on the RIT scale. 6
  • 7. A Basic Math Item: 5 + 5 = ? 1.0 0.9 ProportionCorrect 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 120 170 220 270 RIT 7
  • 8. Fitting a Rasch Curve 1.0 0.9 ProportionCorrect 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 120 170 220 270 RIT 8
  • 9. Item Difficulty: the RIT value at which we expect half of the students to pass the item. 1.0 0.9 ProportionCorrect 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 120 170 220 270 RIT Difficulty = 170 9
  • 10. The Item Bank • Once an item has been calibrated, it (along with its difficulty) will be added to the MAP item bank. • MAP banks contain thousands of test items. • Large item banks are essential for using CAT. 10
  • 11. Scoring a Test • The scoring of a student’s test under the Rasch model takes into account two things: – how difficult the items were the student received – how she did on those items • A standard method of scoring is called “maximum likelihood” – This just means, “What is the most likely RIT score for a student who performed as she did on the items she received?” • Conceptually, this is not as complicated as it sounds. 11
  • 12. A One-item Test 1 0.9 0.8 0.7 Proportion Correct 0.6 0.5 0.4 0.3 0.2 0.1 0 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 RIT If this item was passed, what are the most likely values of the student’s RIT? What are the least likely values? 12
  • 13. A Two-item Test 1 0.9 0.8 0.7 Proportion Correct 0.6 0.5 0.4 0.3 0.2 0.1 0 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 RIT What if the Blue item was passed and the Red Item was failed? 13
  • 14. A Three-item Test 1 0.9 0.8 0.7 Proportion Correct 0.6 0.5 0.4 0.3 0.2 0.1 0 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 RIT What if the Blue and Green items were passed and the Red Item was failed? 14
  • 15. Maximum Likelihood Scoring and CAT • Notice that item difficulty and student scores are on the same scale (RIT). • The best measurement occurs when students are given items whose difficulties are well matched to their proficiency levels. • This is what a CAT does. It tailors the test to each student by adjusting item difficulty. • Result: all students can be measured with equal precision. 15
  • 16. How a CAT Works 1. Pick an item of appropriate starting difficulty. 2. The item is presented & answered by the student. 3. If answer is right, choose a harder item to give next. If answer is wrong, choose an easier item to give next. 4. Repeat steps 2 & 3 until enough items have been given. 5. Calculate the student’s RIT score. 16
  • 17. Interpreting a RIT Score • How is a student’s RIT score interpreted? • A RIT score in math of, say 221, by itself is not interpretable. • We need to have one or more reference points to interpret a score. 17
  • 18. Reference Points for a Spring RIT Score of 221 in Math • Normative: Shauna’s 221 is at the 62nd percentile relative to other 5th grade students. • Growth: She has gained 13 RIT points since fall MAP testing. Typical growth for students starting at the same level was 9 points. • Predictive: Her score indicates that she is on track to being college ready by the 12th grade. • Content: DesCartes provides information about which skills Shauna is currently ready to learn. 18
  • 19. Thank you for your attention. steve.wise@nwea.org