Measures of Academic Progress (MAP)

Mathematics

Rating Summary

Classification Accuracyfull bubble
GeneralizabilityModerate High
Reliabilityhalf bubble
Validityhalf bubble
Disaggregated Reliability and Validity Datahalf bubble
Efficiency
AdministrationIndividual Group
Administration & Scoring Time40 Minutes
Scoring KeyComputer Scored
Benchmarks / NormsYes
Cost Technology, Human Resources, and Accommodations for Special Needs Service and Support Purpose and Other Implementation Information Usage and Reporting

Annual per-student subscription fees start at $13.50 for a bundled assessment suite of Mathematics, Reading, and Language Usage tests. Discounts are available based on volume and other factors. Annual subscription fees include the following:

  • Math, Reading, and Language Usage computer adaptive tests – Each subject-area test can be administered up to 4 times per year.
  • Scoring and Reporting – Because MAP is a computer-delivered assessment, no additional scoring fees are incurred.
  • NWEA Software – all MAP software components are provided at no additional charge.

$3,700/session for onsite start up training or professional development for up to 40 attendees. 

NWEA offers two assessment delivery platforms (web-based and client-server). 

Testers will require 1 – 4 hours of training.

Paraprofessionals can administer the test.

Accommodations:
The adaptive nature of MAP makes it an appropriate assessment for students with a wide range of skills and needs. Additionally, the MAP system is compatible with third‐party software to provide capabilities that address the visually impaired. These capabilities include magnification, highlight, and color contrast.

Local school and districts may determine that certain testing accommodations are appropriate for an individual student.  Twenty separate accommodations to the test are considered allowable.  These accommodations include, but are not limited to, reading the test directions, providing auditory amplification, testing in alternate settings, dictating responses to a scribe, and so on.

NWEA
121 NW Everett Street
Portland, OR 97209

Phone: 503-624-1951
Website: www.nwea.org

Field-tested training manuals are included and should provide all implementation information.

A set of online training courses for teachers and administrators are available online through the NWEA Knowledge Academy.

NWEA provides implementation support for the first testing season and ongoing account management support. Toll-free phone and email technical support is provided for the duration of the contract.

MAP is a system of computerized adaptive assessments, meaning that each student taking a MAP test receives a set of items that is optimal for the student's ability level. The MAP Mathematics, Reading, and Language Usage tests are available for students in Grades 2-10.

MAP is computer administered and administration time averages 40 minutes per student or group.

Scores on MAP tests are reported as RIT scores – shorthand for "Rasch units." The testing model underlying the MAP tests is a one-parameter IRT (Rasch) model, and the RIT scale is a transformation of the Rasch ability estimates; the scale on which scores are actually reported ranges from approximately 100 to 300. Reporting is a prominent feature of the MAP program; students are assigned unique identifiers that permit their scores to be entered into a database of MAP results (across numerous years and states) and their progress to be tracked. Numerous score reporting options are available. In addition to individual, class, and system reports, users can aggregate student performance in customized ways. Student performance can be summarized in standards-referenced terms using scaled scores, percent correct, achievement categories (e.g., Low, Medium, High) or other systems. Achievement can also be summarized in norm-referenced terms, using familiar percentile ranks and standard scores. Finally, achievement progress or growth can be monitored via crossgrade (i.e., vertical) scales.

 

Classification Accuracy

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in Colorado
  Grade 3
n = 6,213
Grade 4
n = 6,280
Grade 5
n = 5,881
Grade 6
n = 6,030
Grade 7
n = 6,205
Grade 8
n = 4,812
False Positive Rate 0.08 0.08 0.07 0.06 0.07 0.06
False Negative Rate 0.28 0.22 0.22 0.24 0.22 0.25
Sensitivity 0.72 0.78 0.78 0.76 0.78 0.75
Specificity 0.92 0.92 0.93 0.94 0.93 0.94
Positive Predictive Power 0.70 0.72 0.74 0.76 0.75 0.75
Negative Predictive Power 0.93 0.95 0.95 0.94 0.94 0.94
Overall Classification Rate 0.88 0.90 0.90 0.90 0.90 0.90
AUC (ROC) 0.93 0.94 0.95 0.95 0.95 0.95
Base Rate 0.20 0.20 0.20 0.20 0.20 0.20
Cut Points: MAP Math RIT Score < 195 205 213 216 220 222
At 90% Sensitivity, Specificity equals 0.77 0.83 0.83 0.86 0.84 0.83
At 80% Sensitivity, Specificity equals 0.90 0.94 0.93 0.95 0.94 0.94
At 70% Sensitivity, Specificity equals 0.95 0.96 0.97 0.98 0.98 0.97

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in Iowa
  Grade 3
n = 940
Grade 4
n = 876
Grade 5
n = 1,075
Grade 6
n = 860
Grade 7
n = 991
Grade 8
n = 968
False Positive Rate 0.10 0.08 0.09 0.08 0.09 0.09
False Negative Rate 0.36 0.31 0.36 0.32 0.30 0.30
Sensitivity 0.64 0.69 0.64 0.68 0.70 0.70
Specificity 0.91 0.92 0.92 0.92 0.91 0.91
Positive Predictive Power 0.65 0.70 0.69 0.69 0.66 0.68
Negative Predictive Power 0.90 0.92 0.90 0.92 0.92 0.92
Overall Classification Rate 0.85 0.88 0.85 0.87 0.87 0.87
AUC (ROC) 0.90 0.93 0.91 0.92 0.92 0.91
Base Rate 0.22 0.20 0.23 0.21 0.20 0.21
Cut Points: MAP Math RIT Score < 186 196 204 211 217 221
At 90% Sensitivity, Specificity equals 0.70 0.75 0.67 0.72 0.70 0.73
At 80% Sensitivity, Specificity equals 0.83 0.87 0.87 0.90 0.88 0.88
At 70% Sensitivity, Specificity equals 0.89 0.94 0.93 0.82 0.94 0.93

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in Kentucky
  Grade 3
n = 2,383
Grade 4
n = 2,277
Grade 5
n = 2,364
Grade 6
n = 2,451
Grade 7
n = 1,974
Grade 8
n = 2,235
False Positive Rate 0.11 0.09 0.11 0.08 0.08 0.08
False Negative Rate 0.36 0.37 0.35 0.37 0.29 0.29
Sensitivity 0.64 0.63 0.65 0.63 0.71 0.71
Specificity 0.89 0.91 0.89 0.92 0.92 0.91
Positive Predictive Power 0.61 0.65 0.60 0.69 0.69 0.69
Negative Predictive Power 0.91 0.90 0.91 0.90 0.93 0.93
Overall Classification Rate 0.84 0.85 0.84 0.86 0.88 0.88
AUC (ROC) 0.89 0.89 0.89 0.91 0.92 0.92
Base Rate 0.21 0.21 0.20 0.22 0.20 0.20
Cut Points: MAP Math RIT Score < 196 201 209 209 215 219
At 90% Sensitivity, Specificity equals 0.63 0.66 0.62 0.72 0.75 0.70
At 80% Sensitivity, Specificity equals 0.81 0.84 0.80 0.87 0.88 0.85
At 70% Sensitivity, Specificity equals 0.89 0.91 0.91 0.94 0.95 0.95

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in North Dakota
  Grade 3
n = 1,282
Grade 4
n = 1,259
Grade 5
n = 1,459
Grade 6
n = 1,497
Grade 7
n = 1,659
Grade 8
n = 1,621
False Positive Rate 0.11 0.10 0.08 0.10 0.08 0.09
False Negative Rate 0.35 0.34 0.40 0.33 0.31 0.36
Sensitivity 0.65 0.66 0.60 0.67 0.69 0.64
Specificity 0.89 0.90 0.92 0.90 0.92 0.91
Positive Predictive Power 0.61 0.63 0.71 0.64 0.71 0.66
Negative Predictive Power 0.91 0.91 0.88 0.91 0.91 0.91
Overall Classification Rate 0.84 0.86 0.85 0.85 0.87 0.86
AUC (ROC) 0.88 0.89 0.88 0.89 0.92 0.91
Base Rate 0.21 0.20 0.24 0.21 0.22 0.21
Cut Points: MAP Math RIT Score < 183 195 202 210 217 223
At 90% Sensitivity, Specificity equals 0.65 0.70 0.64 0.66 0.75 0.65
At 80% Sensitivity, Specificity equals 0.79 0.82 0.82 0.84 0.88 0.85
At 70% Sensitivity, Specificity equals 0.88 0.88 0.88 0.91 0.94 0.93

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in South Carolina
  Grade 3
n = 6,475
Grade 4
n = 6,363
Grade 5
n = 6,101
Grade 6
n = 6,003
Grade 7
n = 5,992
Grade 8
n = 5,682
False Positive Rate 0.08 0.08 0.07 0.07 0.07 0.08
False Negative Rate 0.30 0.26 0.26 0.31 0.30 0.33
Sensitivity 0.70 0.74 0.74 0.69 0.70 0.67
Specificity 0.92 0.92 0.93 0.93 0.93 0.92
Positive Predictive Power 0.71 0.71 0.73 0.74 0.74 0.69
Negative Predictive Power 0.92 0.93 0.93 0.91 0.92 0.91
Overall Classification Rate 0.87 0.88 0.89 0.88 0.88 0.87
AUC (ROC) 0.93 0.93 0.94 0.93 0.93 0.92
Base Rate 0.22 0.21 0.21 0.22 0.22 0.21
Cut Points: MAP Math RIT Score < 194 203 210 213 218 222
At 90% Sensitivity, Specificity equals 0.77 0.76 0.82 0.79 0.75 0.71
At 80% Sensitivity, Specificity equals 0.87 0.89 0.93 0.91 0.90 0.89
At 70% Sensitivity, Specificity equals 0.94 0.95 0.97 0.96 0.95 0.95

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in Wisconsin
  Grade 3
n = 3,567
Grade 4
n = 3,462
Grade 5
n = 3,635
Grade 6
n = 3,512
Grade 7
n = 3,572
Grade 8
n = 3,389
False Positive Rate 0.09 0.07 0.08 0.07 0.07 0.07
False Negative Rate 0.25 0.30 0.29 0.23 0.19 0.23
Sensitivity 0.75 0.70 0.71 0.77 0.81 0.77
Specificity 0.91 0.93 0.92 0.93 0.93 0.93
Positive Predictive Power 0.67 0.72 0.69 0.75 0.75 0.74
Negative Predictive Power 0.93 0.92 0.93 0.94 0.95 0.94
Overall Classification Rate 0.88 0.88 0.88 0.90 0.91 0.90
AUC (ROC) 0.93 0.92 0.92 0.95 0.96 0.96
Base Rate 0.20 0.21 0.20 0.20 0.20 0.20
Cut Points: MAP Math RIT Score < 184 195 202 208 214 218
At 90% Sensitivity, Specificity equals 0.76 0.76 0.76 0.84 0.86 0.85
At 80% Sensitivity, Specificity equals 0.89 0.89 0.87 0.95 0.96 0.97
At 70% Sensitivity, Specificity equals 0.95 0.93 0.95 0.98 0.99 0.99

 

Generalizability

Description of study sample:

  • Number of States: 6 (CO, WI, IA, SC, ND, KY)
  • Size: 241,614
  • Gender:
    • 51% Male
    • 49% Female 
  • Race/Ethnicity:
    • 70% White, Non-Hispanic
    • 15% Black, Non-Hispanic
    • 9% Hispanic
    • 1% American Indian/Alaska Native
    • 3% Asian/Pacific Islander
    • 1% Other
    • 1% Unknown

Cross Validation Study Description of study sample:

  • Number of States: 1
  • Size: 20,276
  • Gender:
    • 51% Male
    • 49% Female 
  • SES: 60.9% Eligible for free or reduced-price lunch
  • Race/Ethnicity:
    • 29.4% White, Non-Hispanic
    • 37.2% Black, Non-Hispanic
    • 19.9% Hispanic
    • 5.4% American Indian/Alaska Native
    • 8.2% Asian/Pacific Islander
  • Disability classification: 15.4% Special Education
  • First language:
    • 72.1% English
    • 16.2% Spanish
    • 4% Somali
    • 4% Hmong
  • Language proficiency status: 23% English Language Learners (ELL/LEP)

Reliability

Type of Reliability Age or Grade n (range) Coefficient
range
Information / Subjects
Internal Consistency 1-9 308-38,374 0.749-0.914 Spring 2008-Fall 2008 correlations for state content aligned MAP Mathematics tests with different item pool structures.
Internal Consistency 5-10 307-1,203 0.735-0.879 Fall 2008-Spring 2009 correlations for state content aligned MAP Mathematics tests with different item pool structures.
Internal Consistency 1-9 303-36,754 0.705-0.910 Spring 2008-Spring 2009 correlations for state content aligned MAP Mathematics tests with different item pool structures.
Test-Retest 1-10 303-33,947 0.749-0.925 Spring 2008-Fall 2008 Test-Retest correlations for state content aligned MAP Mathematics Tests with common item pool structures. 
Test-Retest 2-10 311-37,675 0.703-0.913 Fall 2008-Spring 2008 Test-Retest correlations for state content aligned MAP Mathematics Tests with common item pool structures. 
Test-Retest 2-9 305-35,135 0.729-0.917 Spring 2008-Spring 2009 Test-Retest correlations for state content aligned MAP Mathematics Tests with common item pool structures. 
Marginal 2-10 1,210-122,899 0.978-0.895 Marginal reliabilities for state aligned MAP Mathematics Tests administered in the Spring and Fall of 2008 and Spring 2009.
Marginal 2-10 1,200+ 0.588-0.905 Marginal reliabilities for Goals of state aligned MAP Mathematics Tests administered in the Spring and Fall of 2008 and Spring 2009.
Accuracy and Consistency Classification Decisions 3-8 1,007-50,881 0.928-1.000 Classification Accuracy and Decision Consistency of state content aligned MAP Mathematics Tests administered in the same term as the state accountability test in the 2008-2009 school year.

These data reflect a summary of the total reliability data presented in the Technical Manual (Technical Manual For Measures of Academic Progress (MAP) and Measures of Academic Progress for Primary Grades (MPG). Portland, OR: Northwest Evaluation Association).

Validity

Type of Validity Grade Test or Criterion n (range) Coefficient Information / Subjects
range
Concurrent 2-10 State accountability tests 568-6,398 0.635-0.878  
Predictive 2-10 State accountability tests 352-6,194 0.583-0.868  
Criterion Related 2-10 State accountability tests 352-6,394 0.472-0.724  

These data reflect a summary of the total validity data presented in the Technical Manual (Technical Manual For Measures of Academic Progress (MAP) and Measures of Academic Progress for Primary Grades (MPG). Portland, OR: Northwest Evaluation Association).

Disaggregated Reliability, Validity, and Classification Data for Diverse Populations

Disaggregated Reliability, Validity, and Classification Data for Diverse Populations

Disaggregated Classification Accuracy

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in Colorado
  American Indian
n = 620
African American
n = 2,854
Asian American
n = 1,930
Hispanic
n = 4,816
White American
n = 24,694
False Positive Rate 0.14 0.13 0.04 0.15 0.06
False Negative Rate 0.13 0.19 0.23 0.21 0.27
Sensitivity 0.87 0.82 0.77 0.79 0.73
Specificity 0.86 0.88 0.96 0.85 0.95
Positive Predictive Power 0.87 0.81 0.69 0.76 0.70
Negative Predictive Power 0.86 0.88 0.97 0.87 0.95
Overall Classification Rate 0.87 0.85 0.94 0.83 0.91
AUC (ROC) Median
Range
0.92
0.90 – 0.95
0.92
0.91 – 0.95
0.97
0.95 – 0.98
0.91
0.87 – 0.92
0.95
0.93 – 0.96
Base Rate 0.53 0.40 0.10 0.37 0.15
Cut Points: MAP Math RIT Score < 195 – 222 195 – 222 195 – 222 195 – 222 195 – 222
At 90% Sensitivity, Specificity equals: Median
Range
0.78
0.66 – 0.86
0.78
0.72 – 0.82
0.91
0.85 – 0.94
0.70
0.60 – 0.75
0.86
0.81 – 0.88
At 80% Sensitivity, Specificity equals: Median
Range
0.93
0.85 – 0.96
0.87
0.86 – 0.93
0.97
0.94 – 1.00
0.86
0.78 – 0.88
0.95
0.92 – 0.96
At 70% Sensitivity, Specificity equals: Median
Range
0.96
0.88 – 0.98
0.93
0.92 – 0.97
0.99
0.97 – 1.00
0.92
0.84 – 0.93
0.98
0.95 – 0.99

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in Iowa
  American Indian
n = 28
African American
n = 106
Asian American
n = 16
Hispanic
n = 117
White American
n = 5,420
False Positive Rate 0.14 0.12 0.40 0.11 0.09
False Negative Rate 0.67 0.20 0.09 0.29 0.33
Sensitivity 0.33 0.80 0.91 0.71 0.67
Specificity 0.86 0.88 0.60 0.90 0.92
Positive Predictive Power 0.40 0.84 0.83 0.71 0.67
Negative Predictive Power 0.83 0.86 0.75 0.90 0.92
Overall Classification Rate 0.75 0.85 0.81 0.85 0.87
AUC (ROC) Median
Range
0.94
0.88 – 1.00
0.90
0.83 – 0.98
1.00
0.0 – 1.00
0.94
0.73 – 1.00
0.92
0.90 – 0.92
Base Rate 0.21 0.43 0.69 0.27 0.20
Cut Points: MAP Math RIT Score < 186 – 221 186 – 221 186 – 221 186 – 221 186 – 221
At 90% Sensitivity, Specificity equals: Median
Range
1.00
1.00 – 1.00
0.77
0.25 – 1.00
1.00
1.00 – 1.00
0.70
0.25 – 1.00
0.73
0.66 – 0.76
At 80% Sensitivity, Specificity equals: Median
Range
1.00
1.00 – 1.00
0.85
0.50 – 1.00
1.00
1.00 – 1.00
0.88
0.25 – 1.00
0.88
0.83 – 0.90
At 70% Sensitivity, Specificity equals: Median
Range
1.00
1.00 – 1.00
0.85
0.50 – 1.00
1.00
1.00 – 1.00
1.00
0.75 – 1.00
0.93
0.89 – 0.94

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in Kentucky
  American Indian
n = 15
African American
n = 816
Asian American
n = 67
Hispanic
n = 175
White American
n = 11,287
False Positive Rate 0.17 0.21 0.06 0.14 0.09
False Negative Rate 0.33 0.25 0.23 0.24 0.36
Sensitivity 0.67 0.75 0.77 0.76 0.64
Specificity 0.83 0.79 0.94 0.86 0.91
Positive Predictive Power 0.50 0.67 0.77 0.73 0.64
Negative Predictive Power 0.91 0.85 0.94 0.88 0.91
Overall Classification Rate 0.80 0.78 0.91 0.83 0.86
AUC (ROC) Median
Range
1.00
0.67 – 1.00
0.87
0.82 – 0.88
1.00
0.78 – 1.00
0.92
0.86 – 0.99
0.90
0.89 – 0.92
Base Rate 0.20 0.36 0.19 0.33 0.20
Cut Points: MAP Math RIT Score < 196 - 219 196 - 219 196 - 219 196 - 219 196 - 219
At 90% Sensitivity, Specificity equals: Median
Range
1.00
1.00 – 1.00
0.61
0.46 – 0.67
1.00
0.00 – 1.00
0.80
0.20 – 0.91
0.70
0.61 – 0.74
At 80% Sensitivity, Specificity equals: Median
Range
1.00
1.00 – 1.00
0.78
0.66 – 0.88
1.00
0.67 – 1.00
0.87
0.75 – 1.00
0.84
0.82 – 0.89
At 70% Sensitivity, Specificity equals: Median
Range
1.00
1.00 – 1.00
0.89
0.75 – 0.91
1.00
0.67 – 1.00
1.00
0.92 – 1.00
0.93
0.89 – 0.96

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in North Dakota
  American Indian
n = 525
African American
n = 103
Asian American
n = 72
Hispanic
n = 132
White American
n = 7,797
False Positive Rate 0.19 0.14 0.03 0.16 0.08
False Negative Rate 0.22 0.27 0.46 0.31 0.37
Sensitivity 0.79 0.73 0.54 0.69 0.63
Specificity 0.81 0.86 0.97 0.84 0.92
Positive Predictive Power 0.78 0.71 0.78 0.74 0.64
Negative Predictive Power 0.82 0.87 0.91 0.81 0.91
Overall Classification Rate 0.80 0.82 0.90 0.78 0.86
AUC (ROC) Median
Range
0.88
0.84 – 0.91
0.85
0.53 – 1.00
0.99
0.59 – 1.00
0.86
0.81 – 0.94
0.89
0.88 – 0.92
Base Rate 0.46 0.32 0.18 0.39 0.19
Cut Points: MAP Math RIT Score < 183 – 223 183 – 223 183 – 223 183 – 223 183 – 223
At 90% Sensitivity, Specificity equals: Median
Range
0.63
0.50 – 0.77
0.71
0.33 – 1.00
1.00
0.00 – 1.00
0.57
0.33 – 0.70
0.66
0.63 – 0.75
At 80% Sensitivity, Specificity equals: Median
Range
0.77
0.63 – 0.91
0.78
0.33 – 1.00
1.00
0.00 – 1.00
0.70
0.57 – 1.00
0.83
0.78 – 0.91
At 70% Sensitivity, Specificity equals: Median
Range
0.88
0.76 – 0.94
0.92
0.67 – 1.00
1.00
0.50 – 1.00
0.78
0.67 – 1.00
0.89
0.86 – 0.94

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in South Carolina
  American Indian
n = 40
African American
n = 11,482
Asian American
n = 327
Hispanic
n = 2,852
White American
n = 21,030
False Positive Rate 0.00 0.13 0.03 0.13 0.05
False Negative Rate 0.17 0.27 0.37 0.23 0.35
Sensitivity 0.83 0.73 0.63 0.78 0.65
Specificity 1.00 0.87 0.97 0.87 0.95
Positive Predictive Power 1.00 0.77 0.55 0.71 0.65
Negative Predictive Power 0.97 0.85 0.98 0.90 0.95
Overall Classification Rate 0.98 0.82 0.95 0.84 0.92
AUC (ROC) Median
Range
1.00
0.71 – 1.00
0.90
0.87 – 0.91
0.98
0.93 – 1.00
0.92
0.89 – 0.92
0.94
0.93 – 0.95
Base Rate 0.15 0.37 0.06 0.29 0.12
Cut Points: MAP Math RIT Score < 194 – 222 194 – 222 194 – 222 194 – 222 194 – 222
At 90% Sensitivity, Specificity equals: Median
Range
1.00
0.67 – 1.00
0.68
0.54 – 0.74
1.00
0.57 – 1.00
0.69
0.68 – 0.75
0.80
0.77 – 0.83
At 80% Sensitivity, Specificity equals: Median
Range
1.00
0.67 – 1.00
0.82
0.76 – 0.88
1.00
1.00 – 1.00
0.86
0.82 – 0.89
0.92
0.89 – 0.95
At 70% Sensitivity, Specificity equals: Median
Range
1.00
0.67 – 1.00
0.91
0.88 – 0.93
1.00
1.00 – 1.00
0.94
0.90 – 0.97
0.95
0.94 – 0.98

 

Classification Accuracy in Predicting Proficiency on NCLB-Authorized State Test in Wisconsin
  American Indian
n = 109
African American
n = 2,581
Asian American
n = 993
Hispanic
n = 2,298
White American
n = 15,156
False Positive Rate 0.09 0.17 0.12 0.15 0.06
False Negative Rate 0.30 0.19 0.25 0.22 0.30
Sensitivity 0.70 0.81 0.75 0.78 0.70
Specificity 0.91 0.83 0.88 0.86 0.95
Positive Predictive Power 0.75 0.82 0.62 0.78 0.65
Negative Predictive Power 0.89 0.83 0.93 0.86 0.96
Overall Classification Rate 0.85 0.82 0.85 0.83 0.91
AUC (ROC) Median
Range
0.91
0.86 – 1.00
0.90
0.89 – 0.92
0.90
0.87 – 0.96
0.90
0.86 – 0.92
0.94
0.92 – 0.96
Base Rate 0.28 0.48 0.22 0.39 0.13
Cut Points: MAP Math RIT Score < 184 – 218 184 – 218 184 – 218 184 – 218 184 – 218
At 90% Sensitivity, Specificity equals: Median
Range
0.67
0.50 – 1.00
0.74
0.64 – 0.76
0.67
0.54 – 0.94
0.67
0.53 – 0.72
0.81
0.73 – 0.90
At 80% Sensitivity, Specificity equals: Median
Range
0.80
0.67 – 1.00
0.84
0.82 – 0.88
0.81
0.73 – 1.00
0.86
0.77 – 0.87
0.94
0.90 – 0.98
At 70% Sensitivity, Specificity equals: Median
Range
1.00
0.67 – 1.00
0.91
0.86 – 0.97
0.93
0.87 – 1.00
0.92
0.82 – 0.96
0.98
0.94 – 0.99