FAST™
CBMReading - English
Summary
FAST™ CBMreading is a version of Curriculum Based Measurement of Oral Reading (CBM-R), which was originally developed to index the level and rate of reading achievement. FAST™ CBMreading is used to screen and monitor student progress in reading competency in the primary grades (1-8). Students read aloud for one minute from grade-level or instructional-level passages (three passages per assessment). The words read correct per minute functions as a robust indicator of reading and a sensitive indicator of intervention effects.
- Where to Obtain:
- Theodore J. Christ & Colleagues, LLC/FastBridge Learning, LLC
- info@fastbridge.org
- 520 Nicollet Mall, Suite 910, Minneapolis, MN 55402
- 6122542534
- www.fastbridge.org
- Initial Cost:
- $7.00 per student
- Replacement Cost:
- $7.00 per student per year
- Included in Cost:
- FAST™ assessments are accessed through an annual subscription offered by FastBridge Learning, priced on a “per student assessed” model. The subscription rate for school year 2017–18 is $7.00 per student. There are no additional fixed costs. FAST subscriptions are all inclusive providing access to: all FAST reading and math assessments for universal screening, progress monitoring and diagnostic purposes including Computer Adaptive Testing and Curriculum-Based Measurement; Behavior and Developmental Milestones assessment tools; the FAST data management and reporting system; embedded online system training for staff; and basic implementation and user support. In addition to the online training modules embedded within the FAST application, FastBridge Learning offers onsite training options. One, two, and three day packages are available. Packages are determined by implementation size and which FAST assessments (e.g., reading, math, and/or behavior) a district intends to use: 1-day package: $3,000.00; 2-day package: $6,000.00; 3-day package: $9,000.00. Any onsite training purchase also includes a complimentary online Admin/Manager training session (2 hours) for users who will be designated as District Managers and/or School Managers in FAST. Additionally, FastBridge offers web-based consultation and training delivered by certified FAST trainers. The web-based consultation and training rate is $200.00/hour.
- The FAST™ application is a fully cloud-based system, and therefore computer and Internet access are required for full use of the application. Teachers will require less than one hour of training on the administration of the assessment. A paraprofessional can administer the assessment as a Group Proctor in the FAST application. The application allows for the following accommodations to support accessibility for culturally and linguistically diverse populations: o Enlarged and printed paper materials are available upon request. o Extra breaks as needed. o Preferential seating and use of quiet space. o Proxy responses. o Use of scratch paper. o As part of item development, all items were reviewed for bias and fairness
- Training Requirements:
- Less than 1 hour of training
- Qualified Administrators:
- No minimum qualifications specified.
- Access to Technical Support:
- Users have access to professional development technicians, as well as ongoing technical support.
- Assessment Format:
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- Direct: Computerized
- One-to-one
- Scoring Time:
-
- Scoring is automatic
- Scores Generated:
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- Raw score
- Percentile score
- Developmental benchmarks
- Error analysis
- Other: Words read correct per minute
- Administration Time:
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- 3 minutes per student
- Scoring Method:
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- Automatically (computer-scored)
- Technology Requirements:
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- Computer or tablet
- Internet connection
- Accommodations:
- The FAST™ application is a fully cloud-based system, and therefore computer and Internet access are required for full use of the application. Teachers will require less than one hour of training on the administration of the assessment. A paraprofessional can administer the assessment as a Group Proctor in the FAST application. The application allows for the following accommodations to support accessibility for culturally and linguistically diverse populations: o Enlarged and printed paper materials are available upon request. o Extra breaks as needed. o Preferential seating and use of quiet space. o Proxy responses. o Use of scratch paper. o As part of item development, all items were reviewed for bias and fairness
Descriptive Information
- Please provide a description of your tool:
- FAST™ CBMreading is a version of Curriculum Based Measurement of Oral Reading (CBM-R), which was originally developed to index the level and rate of reading achievement. FAST™ CBMreading is used to screen and monitor student progress in reading competency in the primary grades (1-8). Students read aloud for one minute from grade-level or instructional-level passages (three passages per assessment). The words read correct per minute functions as a robust indicator of reading and a sensitive indicator of intervention effects.
ACADEMIC ONLY: What skills does the tool screen?
- Please describe specific domain, skills or subtests:
- BEHAVIOR ONLY: Which category of behaviors does your tool target?
-
- BEHAVIOR ONLY: Please identify which broad domain(s)/construct(s) are measured by your tool and define each sub-domain or sub-construct.
Acquisition and Cost Information
Administration
- Are norms available?
- Yes
- Are benchmarks available?
- Yes
- If yes, how many benchmarks per year?
- 3
- If yes, for which months are benchmarks available?
- September, December, and May
- BEHAVIOR ONLY: Can students be rated concurrently by one administrator?
- If yes, how many students can be rated concurrently?
Training & Scoring
Training
- Is training for the administrator required?
- Yes
- Describe the time required for administrator training, if applicable:
- Less than 1 hour of training
- Please describe the minimum qualifications an administrator must possess.
- No minimum qualifications
- Are training manuals and materials available?
- Yes
- Are training manuals/materials field-tested?
- No
- Are training manuals/materials included in cost of tools?
- Yes
- If No, please describe training costs:
- Can users obtain ongoing professional and technical support?
- Yes
- If Yes, please describe how users can obtain support:
- Users have access to professional development technicians, as well as ongoing technical support.
Scoring
- Do you provide basis for calculating performance level scores?
-
Yes
- Does your tool include decision rules?
-
No
- If yes, please describe.
- Can you provide evidence in support of multiple decision rules?
-
No
- If yes, please describe.
- Please describe the scoring structure. Provide relevant details such as the scoring format, the number of items overall, the number of items per subscale, what the cluster/composite score comprises, and how raw scores are calculated.
- Three raw scores are calculated for FAST™ CBMreading: a) total words read, which is defined as the total number of words read, including correct and incorrect responses; b) number of errors, which is defined as the total number of errors the student made during the one minute administration; and c) words read correct per minute, which is calculated as the total number of words read in one minute minus the number of errors made during the one minute.
- Describe the tool’s approach to screening, samples (if applicable), and/or test format, including steps taken to ensure that it is appropriate for use with culturally and linguistically diverse populations and students with disabilities.
- FAST™ CBMreading is an evidence-based assessment used to screen and monitor students’ progress in reading achievement in the primary grades (1-8). Each assessment is designed to be highly efficient and give a broad indication of reading competence. The automated output of each assessment gives information on the accuracy and fluency of passage reading which can be used to determine instructional level to inform intervention. To administer the measure, an examiner listens to the child read a set of short passages aloud (typically three passages). Each passage is comprised of approximately 200 to 300 words, which correspond with grade level text. Level 1 corresponds with use in kindergarten or early first grade, Level 2 with second-third grade, Level 3 with fourth, fifth, or sixth grade, and Level 4 with seventh or eighth grade. Each passage is read for one minute while the examiner uses the software to mark omissions, insertions, substitutions, hesitations, and mispronunciations as errors. The number of words read correctly per min (WRC) is then scored using the online application. The browser-based software provides the teacher with a convenient method to score and record assessment data with efficiency and accuracy. The administration of three passages takes approximately 5 minutes per student. The basic procedure includes a standardized set of directions that prompt a student to read aloud: "This is a story about____(read & point to the title). When I say, “BEGIN,” start reading aloud on the top of the page. READ ACROSS THE PAGE and then go to the next line (point to the first word, across the first line, and to the beginning of the second line). Try to read EACH WORD. If you come to a word that you DON'T KNOW, I'll tell it to you. Be sure to do your BEST READING. Okay?" (pause). In addition to following a strict rubric developed in consultation with educators and content experts to write passages, the researchers analyzed data from three rounds of field testing and edited passages that had linguistic issues based on those analyses and input from educators in the schools. The researchers further consulted with experts to decrease the amount of culturally biased material (e.g. first names of characters in the stories) in the assessment. A word bank containing phonetically regular decodable words was developed. The words included in the word bank were in accordance with the word structure suggested by Hiebert and Fisher (2007) and with the word difficulty developed by Menon and Hiebert (1999). Words that were classified as falling into lower levels of difficulty were considered appropriate to use in passage development while words falling into higher levels of difficulty were not included. High frequency word lists were used to design reading passages for students with lower levels of reading. In addition, the developed rubric prohibited the use of predictable writing (e.g. rhyming, repeated phrases or patterns, alliteration) in order to rely on decodability and sight word knowledge, rather than literary clues and cultural context. The goal for developing FAST™ CBMreading materials was to develop passages that were consistent for students in grades 1-8 and provided few confounds with a student’s background knowledge. Therefore, one type of text (narrative) was selected for use. Narratives were selected as the genre for FAST™ CBMreading passages because the events they typically reflect may be autobiographical and reflect episodes that students have been exposed to throughout their early development (Schank & Ableson, 1977; Trabasso & Stein, 1997).
Technical Standards
Classification Accuracy & Cross-Validation Summary
Grade |
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Grade 2
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Grade 3
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Grade 6
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Classification Accuracy Fall | ||||||
Classification Accuracy Winter | ||||||
Classification Accuracy Spring |
Test of Silent Reading Efficiency and Comprehension (TOSREC)
Classification Accuracy
- Describe the criterion (outcome) measure(s) including the degree to which it/they is/are independent from the screening measure.
- The Test of Silent Reading Efficiency and Comprehension (TOSREC) is a brief, group or individually administered test of reading that assesses silent reading of connected text for comprehension. The test can be used for both screening and progress monitoring. The TOSREC measures silent reading speed and accuracy, and comprehension. Respondents are given three minutes to read and verify the truthfulness of as many sentences as possible.
- Describe when screening and criterion measures were administered and provide a justification for why the method(s) you chose (concurrent and/or predictive) is/are appropriate for your tool.
- Describe how the classification analyses were performed and cut-points determined. Describe how the cut points align with students at-risk. Please indicate which groups were contrasted in your analyses (e.g., low risk students versus high risk students, low risk students versus moderate risk students).
- Cut points were selected by optimizing sensitivity, and then balancing sensitivity with specificity using methods presented in Silberglitt and Hintze (2005). The cut points were derived for the 20th percentile.
- Were the children in the study/studies involved in an intervention in addition to typical classroom instruction between the screening measure and outcome assessment?
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No
- If yes, please describe the intervention, what children received the intervention, and how they were chosen.
Cross-Validation
- Has a cross-validation study been conducted?
-
No
- If yes,
- Describe the criterion (outcome) measure(s) including the degree to which it/they is/are independent from the screening measure.
- Describe when screening and criterion measures were administered and provide a justification for why the method(s) you chose (concurrent and/or predictive) is/are appropriate for your tool.
- Describe how the cross-validation analyses were performed and cut-points determined. Describe how the cut points align with students at-risk. Please indicate which groups were contrasted in your analyses (e.g., low risk students versus high risk students, low risk students versus moderate risk students).
- Were the children in the study/studies involved in an intervention in addition to typical classroom instruction between the screening measure and outcome assessment?
- If yes, please describe the intervention, what children received the intervention, and how they were chosen.
Classification Accuracy - Fall
Evidence | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Grade 6 |
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Criterion measure | Test of Silent Reading Efficiency and Comprehension (TOSREC) | Test of Silent Reading Efficiency and Comprehension (TOSREC) | Test of Silent Reading Efficiency and Comprehension (TOSREC) | Test of Silent Reading Efficiency and Comprehension (TOSREC) | Test of Silent Reading Efficiency and Comprehension (TOSREC) | Test of Silent Reading Efficiency and Comprehension (TOSREC) |
Cut Points - Percentile rank on criterion measure | 20 | 20 | 20 | 20 | 20 | 20 |
Cut Points - Performance score on criterion measure | ||||||
Cut Points - Corresponding performance score (numeric) on screener measure | ||||||
Classification Data - True Positive (a) | 52 | 59 | 33 | 53 | 47 | 26 |
Classification Data - False Positive (b) | 30 | 26 | 42 | 26 | 44 | 25 |
Classification Data - False Negative (c) | 15 | 7 | 6 | 15 | 8 | 5 |
Classification Data - True Negative (d) | 70 | 98 | 110 | 80 | 98 | 148 |
Area Under the Curve (AUC) | 0.81 | 0.93 | 0.89 | 0.87 | 0.90 | 0.90 |
AUC Estimate’s 95% Confidence Interval: Lower Bound | 0.76 | 0.90 | 0.86 | 0.83 | 0.87 | 0.87 |
AUC Estimate’s 95% Confidence Interval: Upper Bound | 0.86 | 0.96 | 0.92 | 0.91 | 0.93 | 0.93 |
Statistics | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Grade 6 |
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Base Rate | 0.40 | 0.35 | 0.20 | 0.39 | 0.28 | 0.15 |
Overall Classification Rate | 0.73 | 0.83 | 0.75 | 0.76 | 0.74 | 0.85 |
Sensitivity | 0.78 | 0.89 | 0.85 | 0.78 | 0.85 | 0.84 |
Specificity | 0.70 | 0.79 | 0.72 | 0.75 | 0.69 | 0.86 |
False Positive Rate | 0.30 | 0.21 | 0.28 | 0.25 | 0.31 | 0.14 |
False Negative Rate | 0.22 | 0.11 | 0.15 | 0.22 | 0.15 | 0.16 |
Positive Predictive Power | 0.63 | 0.69 | 0.44 | 0.67 | 0.52 | 0.51 |
Negative Predictive Power | 0.82 | 0.93 | 0.95 | 0.84 | 0.92 | 0.97 |
Sample | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Grade 6 |
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Date | 2012-13 | 2012-13 | 2012-13 | 2012-13 | 2012-13 | 2012-13 |
Sample Size | 167 | 190 | 191 | 174 | 197 | 204 |
Geographic Representation | West North Central (MN) | West North Central (MN) | West North Central (MN) | West North Central (MN) | West North Central (MN) | West North Central (MN) |
Male | ||||||
Female | ||||||
Other | ||||||
Gender Unknown | ||||||
White, Non-Hispanic | ||||||
Black, Non-Hispanic | ||||||
Hispanic | ||||||
Asian/Pacific Islander | ||||||
American Indian/Alaska Native | ||||||
Other | ||||||
Race / Ethnicity Unknown | ||||||
Low SES | ||||||
IEP or diagnosed disability | ||||||
English Language Learner |
Reliability
Grade |
Grade 1
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Grade 2
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Grade 3
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Grade 4
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Grade 5
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Grade 6
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Rating |
- *Offer a justification for each type of reliability reported, given the type and purpose of the tool.
- The first type of reliability evidence we present is inter-rater reliability. Inter-rater reliability is an appropriate measure of reliability for the use of FAST™ CBMreading because teachers listen to students and evaluate their oral reading fluency, including accuracy, so consistency across teachers (raters) is important. The second type of reliability evidence we present is alternate-form reliability. Alternate-form reliability is an appropriate measure of reliability for FAST™ CBMreading as a screening tool because students take alternate forms (actually passages) at each screening time point, so consistency in the rank order of scores over forms (passages) is important. The results presented below are median correlations between students’ scores on multiple passages (39 in first grade, and 60 in the other grades). The maximum amount of time between administration of the passages was two weeks.
- *Describe the sample(s), including size and characteristics, for each reliability analysis conducted.
- Inter-rater Reliability: Approximately 1,900 students in grades 1-6 (see table below for student N by grade level). Students came from three samples, one from Minnesota, one from Georgia, and one from New York. Alternate-form Reliability: Approximately 150 students in each of grades 1-5. Students came from three samples: one from Minnesota, one from Georgia, and another from New York.
- *Describe the analysis procedures for each reported type of reliability.
- Inter-rater reliability coefficients were estimated by calculating the median percent agreement between two teachers scores for each student. Confidence intervals represent 95% confidence intervals. Students were tested on multiple passages in two weeks or less. Alternate-form reliability coefficients were estimated by calculating the Pearson product moment correlations between scores for each combination of passages. The coefficients below represent the median of those correlations. Confidence intervals represent 95% confidence intervals.
*In the table(s) below, report the results of the reliability analyses described above (e.g., internal consistency or inter-rater reliability coefficients).
Type of | Subgroup | Informant | Age / Grade | Test or Criterion | n | Median Coefficient | 95% Confidence Interval Lower Bound |
95% Confidence Interval Upper Bound |
---|
- Results from other forms of reliability analysis not compatible with above table format:
- Manual cites other published reliability studies:
- No
- Provide citations for additional published studies.
- Do you have reliability data that are disaggregated by gender, race/ethnicity, or other subgroups (e.g., English language learners, students with disabilities)?
- No
If yes, fill in data for each subgroup with disaggregated reliability data.
Type of | Subgroup | Informant | Age / Grade | Test or Criterion | n | Median Coefficient | 95% Confidence Interval Lower Bound |
95% Confidence Interval Upper Bound |
---|
- Results from other forms of reliability analysis not compatible with above table format:
- Manual cites other published reliability studies:
- No
- Provide citations for additional published studies.
Validity
Grade |
Grade 1
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Grade 2
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Grade 3
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Grade 4
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Grade 5
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Grade 6
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Rating |
- *Describe each criterion measure used and explain why each measure is appropriate, given the type and purpose of the tool.
- The criterion measure for both types of validity analyzes (concurrent and predictive) is the oral reading fluency measure that is a part of the AIMSWEB system. The measure is an appropriate criterion because is measures a construct hypothesized to be related to FAST™ CBMreading.
- *Describe the sample(s), including size and characteristics, for each validity analysis conducted.
- Concurrent and predictive analyses with AIMSWEB oral reading fluency measure were conducted on a sample of students from Minnesota. There were approximately 220 students in each of grades 1-6.
- *Describe the analysis procedures for each reported type of validity.
- Validity coefficients were calculated by computing Pearson product moment correlations between FAST™ CBMreading and the criterion measure. Confidence intervals represent 95% confidence intervals.
*In the table below, report the results of the validity analyses described above (e.g., concurrent or predictive validity, evidence based on response processes, evidence based on internal structure, evidence based on relations to other variables, and/or evidence based on consequences of testing), and the criterion measures.
Type of | Subgroup | Informant | Age / Grade | Test or Criterion | n | Median Coefficient | 95% Confidence Interval Lower Bound |
95% Confidence Interval Upper Bound |
---|
- Results from other forms of validity analysis not compatible with above table format:
- Manual cites other published reliability studies:
- No
- Provide citations for additional published studies.
- Describe the degree to which the provided data support the validity of the tool.
- The validity coefficients provide moderate to strong evidence for the use of FAST™ CBMreading as a measure of CBM-R.
- Do you have validity data that are disaggregated by gender, race/ethnicity, or other subgroups (e.g., English language learners, students with disabilities)?
- No
If yes, fill in data for each subgroup with disaggregated validity data.
Type of | Subgroup | Informant | Age / Grade | Test or Criterion | n | Median Coefficient | 95% Confidence Interval Lower Bound |
95% Confidence Interval Upper Bound |
---|
- Results from other forms of validity analysis not compatible with above table format:
- Manual cites other published reliability studies:
- No
- Provide citations for additional published studies.
Bias Analysis
Grade |
Grade 1
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Grade 2
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Grade 3
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Grade 4
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Grade 5
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Grade 6
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Rating | No | No | No | No | No | No |
- Have you conducted additional analyses related to the extent to which your tool is or is not biased against subgroups (e.g., race/ethnicity, gender, socioeconomic status, students with disabilities, English language learners)? Examples might include Differential Item Functioning (DIF) or invariance testing in multiple-group confirmatory factor models.
- No
- If yes,
- a. Describe the method used to determine the presence or absence of bias:
- b. Describe the subgroups for which bias analyses were conducted:
- c. Describe the results of the bias analyses conducted, including data and interpretative statements. Include magnitude of effect (if available) if bias has been identified.
Data Collection Practices
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