FAST: earlyMath

Match Quantity

Rating Summary

Classification Accuracyfull bubble
GeneralizabilityModerate Low
Reliabilityfull bubble
Validityempty bubble
Disaggregated Reliability and Validity Datafull bubble
Efficiency
AdministrationIndividual
Administration & Scoring Time1-2 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

earlyMath, part of the FAST assessment suite, is designed to screen and monitor early academic readiness and achievement for students in Kindergarten and 1st grade.

The Formative Assessment System for Teachers (FAST™) is a cloud-based suite of assessment and reporting tools for reading, mathematics, and behavior, which requires no additional costs for hardware or additional materials. FAST, developed by researchers at the University of Minnesota, is supported by an extensive set of materials to support teachers and students, including self-directed training modules that allow teachers to become certified to administer each of the FAST assessments. The entire FAST assessment package, including online certification training and support, is provided at an annual rate of $6 per student.

 

 

Testers will require less than one hour of training.

Paraprofessionals can administer the test.

Where to Obtain: www.fastbridge.org  

Address:

FastBridge Learning
520 Nicollet Mall, Suite 910
Minneapolis, MN 55402-1057

Phone: 612-254-2534

Website: www.fastbridge.org

Training materials are included in the cost of the tool. Additional, optional onsite and webinar-based training services are available for a fee.

Ongoing technical support is available by calling 612-424-3714 or emailing help@fastbridge.org.

earlyMath is an assessment suite used to screen and monitor early numeracy skills for students in Kindergarten and 1st grade.

The development of earlyMath is based on a thorough examination of the most recent research literature and professional consultation in test development and mathematics education. Each of the subtests is aligned with National Common Core State Standards (CCSS, 2010) and three domains of number sense: (a) number, (b) relations, and (c) operations (Purpura & Lonigan, 2013; National Research Council, 2009). Early numeracy skills measured within the three domains include: naming numerals, using the mental number line, counting with one-to-one correspondence, understanding the relation between numerals and quantities, composing and decomposing numbers, basic verbal fact fluency, an understanding of place value, and knowledge of symbols in story problems.

earlyMath is intended for use in Kindergarten and 1st grade or with ages 5–7.

The assessments are individually or group administered in approximately 3–7 minutes per student. Scoring requires an additional one minute.

Available scores include: raw scores, percentile scores, developmental benchmarks and cut points, subscales, composites, and error analysis. Scoring key is provided in the Administration Materials.

 

Classification Accuracy

Classification Accuracy in Predicting Proficiency on the Group Mathematics Assessment and Diagnostic Evaluation (GMADE)

 

Kindergarten

(Spring; 20th Percentile)

n = 212

Kindergarten

(Winter; 15th Percentile)

n = 214

False Positive Rate

0.14

0.03

False Negative Rate

0.25

0

Sensitivity

0.75

1.00

Specificity

0.86

0.97

Positive Predictive Power

0.17

0.30

Negative Predictive Power

0.99

1.00

Overall Classification Rate

0.85

0.97

AUC (ROC)

0.87

0.97

Base Rate

0.04

0.01

Cut Points:

6

6

 

Generalizability

Description of study sample:

·         Number of States: 1 Minnesota

·         Regions: 1

·         Gender

o   50.6% Male

o   49.4% Female

·         Eligible for free or reduced-price lunch: 27.8%

·         Race/Ethnicity:

o   79% White, Non-Hispanic

o   2.5% American Indian/Alaska Native

o   9.3% Black, Non-Hispanic

o   3.7% Asian, Pacific Islander

o   5.6% Hispanic

·         Disability status:  Approximately 8% of students with disabilities

·         Language proficiency status: 100% English proficient

Reliability

Type of Reliability

Age or Grade

n (range)

Coefficient

SEM

Information (including normative data)/Subjects

range

median

Test-Retest

K

36

 

0.76

 

10% Black, 8% Hispanic, 82% White, 15% Free and reduced lunch, and 5% IEP eligible.

Inter-rater

K

45

0.58 – 1.00

0.93

 

A random sample of cases were selected from the 2013-2014 school year.

Alternate Form

K

34 - 38

0.44 - 0.68

0.61

 

5% Asian, 23% Black, 11% Hispanic, 3% Multiracial, 58% White, and 6% IEP eligible.

Coefficient alpha

K

615

0.74-0.84

0.80

 

A random sample of cases were selected from the 2013-2014 school year.

Split-Half

K

615

0.76-0.88

0.83

 

The same sample used to calculate coefficient alpha was used from the 2013-2014 school year

 

Validity

Type of Validity

Age or Grade

Test or Criterion

n (range)

Coefficient (if applicable)

Information (including normative data)/Subjects

range

Median

Concurrent

K

Measures of Academic Progress for Primary Grades – Math (MAP)

220

 

0.46

Data collected in Winter

Predictive

K

MAP

215

 

0.57

Fall to Winter prediction

Predictive

K

MAP

212

 

0.52

Fall to Spring prediction

Predictive

K

MAP

221

 

0.39

Winter to Spring prediction

Concurrent

K

MAP

232

 

0.40

Data collected in Spring

Predictive

K

GMADE composite Level R

142

 

0.44

Fall to Spring prediction

Predictive

K

GMADE composite Level R

144

 

0.34

Winter to Spring prediction

Concurrent

K

GMADE composite Level R

150

 

0.47

Data collected in Spring

 

 

Disaggregated Reliability, Validity, and Classification Data for Diverse Populations

Disaggregated Classification Accuracy in Predicting Proficiency on MAP

 

Kindergarten

(Winter to Spring; 20th Percentile; Black)

n = 11

Kindergarten

(Winter to Spring; 20th Percentile; White)

n = 116

False Positive Rate

0

0.29

False Negative Rate

0.25

0.25

Sensitivity

0.75

0.75

Specificity

0.10

0.71

Positive Predictive Power

1.00

0.23

Negative Predictive Power

0.88

0.96

Overall Classification Rate

0.91

0.72

AUC (ROC)

0.91

0.73

Base Rate

0.36

0.10

Cut Points:

9

10

Disaggregated Reliability

Type of Reliability

Age or Grade

n (range)

Coefficient Range

Coefficient Median

Information (including normative data)/Subjects

Alpha

K

14

 

0.92

American Indian or Alaskan Native

Alpha

K

23

 

0.78

Asian or Pacific Islander

Alpha

K

22

 

0.83

Hispanic

Alpha

K

46

 

0.86

Black

Alpha

K

506

 

0.83

White