FAST CBMreading
Reading English
Summary
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. Development of CBMreading passages began with detailed passage specifications designed to control passage difficulty and text complexity, emphasize contexts that most students would be familiar and were engaging and grade/age appropriate. Steps were taken to minimize the differential impact of background knowledge and cultural context. For instance, the rubric prohibited the use of predictable patterns based on rhyming, repeated phrases, and alliteration, specified word and language restrictions to prevent bias. Also, passage writers were required to use bias-free language when describing people of varying age, race, appearance, education, and lifestyle. Additionally, all passages were submitted to several rounds of editorial review and empirical research. In all rounds of data collection during the development phases for CBMreading a culturally diverse sample of students was used. In each study, all students from the participating sites, without exclusion, were included. For example, several studies were undertaken to evaluate passage difficulty and use the results to further refine passages and remove/replace those that did not perform as expected. The sample was ethnically diverse and included students from all income strata and students with disabilities. 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. Each passage is read aloud 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).
- Where to Obtain:
- FastBridge Learning, LLC
- sales@fastbridge.org
- 150 South Fifth Street, Suite 600, Minneapolis, MN 55402
- 612-254-2534
- www.fastbridge.org
- Initial Cost:
- $7.50 per student
- Replacement Cost:
- $7.50 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 2019–20 is $7.50 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. Several online training options in each assessment and report are available with the FAST subscription. In addition, schools can purchase additional training, or attend regional learning sessions, should they so choose.” A 2-day, onsite training, at the rate of $7000, provides in-depth training in screening and progress monitoring in reading and math. 2-day regional learning sessions are offered at a rate of $425/person.
- 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.
- Training Requirements:
- Less than one hour of training.
- Qualified Administrators:
- Access to Technical Support:
- Users have access to ongoing technical support.
- Assessment Format:
-
- Individual
- Other: The stimulus material is presented in paper form and responses are recorded by the administrator on a digital record form in the FAST system.
- Scoring Time:
-
- Scoring is automatic OR
- 1 minutes per student
- Scores Generated:
-
- Raw score
- Percentile score
- Developmental benchmarks
- Error analysis
- Other : Words read correct per minute.
- Administration Time:
-
- 3 minutes per student
- Scoring Method:
-
- Automatically (computer-scored)
- Technology Requirements:
-
- Computer or tablet
- Internet connection
Tool Information
Descriptive Information
- Please provide a description of your tool:
- 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. Development of CBMreading passages began with detailed passage specifications designed to control passage difficulty and text complexity, emphasize contexts that most students would be familiar and were engaging and grade/age appropriate. Steps were taken to minimize the differential impact of background knowledge and cultural context. For instance, the rubric prohibited the use of predictable patterns based on rhyming, repeated phrases, and alliteration, specified word and language restrictions to prevent bias. Also, passage writers were required to use bias-free language when describing people of varying age, race, appearance, education, and lifestyle. Additionally, all passages were submitted to several rounds of editorial review and empirical research. In all rounds of data collection during the development phases for CBMreading a culturally diverse sample of students was used. In each study, all students from the participating sites, without exclusion, were included. For example, several studies were undertaken to evaluate passage difficulty and use the results to further refine passages and remove/replace those that did not perform as expected. The sample was ethnically diverse and included students from all income strata and students with disabilities. 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. Each passage is read aloud 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).
- Is your tool designed to measure progress towards an end-of-year goal (e.g., oral reading fluency) or progress towards a short-term skill (e.g., letter naming fluency)?
-
ACADEMIC ONLY: What dimensions does the tool assess?
- BEHAVIOR ONLY: Please identify which broad domain(s)/construct(s) are measured by your tool and define each sub-domain or sub-construct.
- BEHAVIOR ONLY: Which category of behaviors does your tool target?
Acquisition and Cost Information
Administration
Training & Scoring
Training
- Is training for the administrator required?
- Yes
- Describe the time required for administrator training, if applicable:
- Less than one 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 ongoing technical support.
Scoring
- 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.
- Do you provide basis for calculating slope (e.g., amount of improvement per unit in time)?
- Yes
- ACADEMIC ONLY: Do you provide benchmarks for the slopes?
- Yes
- ACADEMIC ONLY: Do you provide percentile ranks for the slopes?
- Yes
- Describe the tool’s approach to progress monitoring, behavior samples, test format, and/or scoring practices, including steps taken to ensure that it is appropriate for use with culturally and linguistically diverse populations and students with disabilities.
- Users define a progress monitoring schedule that includes frequency of administration, an end goal date, and target score. For each data point, a single form is administered. Accuracy and rate scores are computed and plotted across time. Scores and trends are compared to a performance target to determine student response to instruction and intervention.
Rates of Improvement and End of Year Benchmarks
- Is minimum acceptable growth (slope of improvement or average weekly increase in score by grade level) specified in your manual or published materials?
- Yes
- If yes, specify the growth standards:
- National growth norms, representing average weekly rates of improvement (ROI) from fall to spring , and derived from the full population of students are used as the basis for acceptable growth. Using the median ROI growth rate for each measure and grade, the FAST system computes growth rate benchmarks based on 80% , 100%, 120% and 150% of the median. The 120% rate, called "Ambitious" in the system serves as the FAST recommended growth target. This target was chosen because research show that Tier 2 and Tier 3 students receiving appropriate, research-based intensive intervention should expect to growth about 20% faster than the general population.
- Are benchmarks for minimum acceptable end-of-year performance specified in your manual or published materials?
- Yes
- If yes, specify the end-of-year performance standards:
- Minimum acceptable end-of-year performance are based on a national percentile threshold. For all grades and assessments the spring 40th national percentile is used.
- Date
- 2017-2018
- Size
- 294230
- Male
- 51
- Female
- 49
- Unknown
- Eligible for free or reduced-price lunch
- 48%
- Other SES Indicators
- White, Non-Hispanic
- 45.7
- Black, Non-Hispanic
- Hispanic
- American Indian/Alaska Native
- Asian/Pacific Islander
- Other
- Unknown
- Disability classification (Please describe)
- Not collected. The results were derived from schools that use FAST for universal screening. Because the sample included the full population of students in the schools it would include students across all disability categories.
- First language (Please describe)
- Not reported
- Language proficiency status (Please describe)
- Not reported
Performance Level
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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Grade 7
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Grade 8
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---|---|---|---|---|---|---|---|---|
Rating |
- *Offer a justification for each type of reliability reported, given the type and purpose of the tool.
- Because CBM Reading is a timed measure internal consistency reliability is not appropriate. Test-retest reliability is a reasonable way to demonstrate consistency in CBM Reading the measure between test administrations. This analysis demonstrates the stability of oral reading rate across short periods of time as measured by this tool. It allows us to quantify the amount of variation in scores across time are due to random variation rather than true growth. We used adjacent administrations of the same test form provide reliability evidence. Because CBM Reading uses fixed forms for progress monitoring, it is important to demonstrate that alternate forms provide consistent measurement of students' basic math computation skills. Alternate form reliability was calculated to demonstrate consistency between progress monitoring forms. This reliability coefficient was calculated from actual progress monitoring data using scores from forms administered no more than two weeks apart.
- *Describe the sample(s), including size and characteristics, for each reliability analysis conducted.
- The data file consisted of all scores collected during the 2018-2019 school year. The sample demographics represent at least 15 states in each grade, all race/ethnicity categories, urban, suburban, and rural school districts, and the full range of socio-economic status. See results below for specific sample sizes by tool, grade, and analysis.
- *Describe the analysis procedures for each reported type of reliability.
- For test-retest reliability the mean correlation coefficient across all pairs was computed from the z transformed values. After transforming, the correlations were averaged and back transformed from z to r to calculate reliability. For alternate form reliability the reliability coefficient was calculated from actual progress monitoring data using scores from forms administered no more than two weeks apart.
*In the table(s) below, report the results of the reliability analyses described above (e.g., model-based evidence, internal consistency or inter-rater reliability coefficients). Include detail about the type of reliability data, statistic generated, and sample size and demographic information.
Type of | Subscale | Subgroup | Informant | Age / Grade | Test or Criterion | n (sample/ examinees) |
n (raters) |
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 | Subscale | Subgroup | Informant | Age / Grade | Test or Criterion | n (sample/ examinees) |
n (raters) |
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:
- N/A
- Manual cites other published reliability studies:
- No
- Provide citations for additional published studies.
Validity
Grade |
Grade 1
|
Grade 2
|
Grade 3
|
Grade 4
|
Grade 5
|
Grade 6
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Grade 7
|
Grade 8
|
---|---|---|---|---|---|---|---|---|
Rating |
- *Describe each criterion measure used and explain why each measure is appropriate, given the type and purpose of the tool.
- FAST aReading is an appropriate criterion measure for CBM Reading. The criterion tool is part of the FAST screening system, but not part of the FAST progress monitoring system. Additionally, FAST aReading is a standards based adaptive assessment that assesses broad reading abilities; whereas the CBM Reading is a measure of oral reading fluency which is distinct from, but central to, general reading ability as measured by FAST aReading. The measures have no overlapping items.
- *Describe the sample(s), including size and characteristics, for each validity analysis conducted.
- The data file consisted of all scores collected during the 2018-2019 school year. The sample demographics represent at least 15 states in each grade, all race/ethnicity categories, urban, suburban, and rural school districts, and the full range of socio-economic status. See results below for specific sample sizes by tool, grade, and analysis.
- *Describe the analysis procedures for each reported type of validity.
- Concurrent validity was calculated by correlating student scores during the same season administration of the CBM Reading tool and the FAST aReading criterion measure. Predictive validity was calculated by correlating student scores adjacent season administrations (for example, Fall to Winter) of the CBM Reading tool and the FAST aReading criterion measure.
*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 | Subscale | Subgroup | Informant | Age / Grade | Test or Criterion | n (sample/ examinees) |
n (raters) |
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:
- N/A
- 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.
- CBM Reading is designed to measure foundational oral reading fluency skills that are critical to overall success in reading, and are sensitive to interventions delivered through MTSS. As such demonstrating the relationship between scores on CBM Reading and a broad measure of reading ability reflects this purpose. Concurrent and predictive validity are both reasonable metrics for evaluating the validity of a progress monitoring tool. The results provide strong evidence of the value and validity of using CBM Reading to predict general reading outcomes.
- 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 | Subscale | Subgroup | Informant | Age / Grade | Test or Criterion | n (sample/ examinees) |
n (raters) |
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:
- N/A
- Manual cites other published reliability studies:
- No
- Provide citations for additional published studies.
- N/A
Bias Analysis
Grade |
Grade 1
|
Grade 2
|
Grade 3
|
Grade 4
|
Grade 5
|
Grade 6
|
Grade 7
|
Grade 8
|
---|---|---|---|---|---|---|---|---|
Rating | No | No | 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.
Growth Standards
Sensitivity: Reliability of Slope
Grade | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Grade 6 | Grade 7 | Grade 8 |
---|---|---|---|---|---|---|---|---|
Rating |
- Describe the sample, including size and characteristics. Please provide documentation showing that the sample was composed of students in need of intensive intervention. A sample of students with intensive needs should satisfy one of the following criteria: (1) all students scored below the 30th percentile on a local or national norm, or the sample mean on a local or national test fell below the 25th percentile; (2) students had an IEP with goals consistent with the construct measured by the tool; or (3) students were non-responsive to Tier 2 instruction. Evidence based on an unknown sample, or a sample that does not meet these specifications, may not be considered.
- The data file consisted of all scores collected during the 2018-2019 school year in which the students were in the 30th national percentile or lower. The sample demographics represent at least 15 states in each grade, all race/ethnicity categories, urban, suburban, and rural school districts, and the full range of socio-economic status. See results below for specific sample sizes by tool, grade, and analysis.
- Describe the frequency of measurement (for each student in the sample, report how often data were collected and over what span of time).
- Data for this analysis was comprised of students for whom there was data for at least 10 data points collected over at least 20 weeks.
- Describe the analysis procedures.
- The split-half method, in which the slope from all odd administrations was correlated with the slope from all even administrations was used to compute the reliability of slope. The sample was limited to at-risk students with a national percentile at or below the 30th percentile, and those who had at least 10 observations over a 20 week span.
In the table below, report reliability of the slope (e.g., ratio of true slope variance to total slope variance) by grade level (if relevant).
Type of | Subscale | Subgroup | Informant | Age / Grade | Test or Criterion | n (sample/ examinees) |
n (raters) |
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 of the slope data that is disaggregated by subgroups (e.g., race/ethnicity, gender, socioeconomic status, students with disabilities, English language learners)?
- No
If yes, fill in data for each subgroup with disaggregated reliability of the slope data.
Type of | Subscale | Subgroup | Informant | Age / Grade | Test or Criterion | n (sample/ examinees) |
n (raters) |
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.
Sensitivity: Validity of Slope
Grade | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Grade 6 | Grade 7 | Grade 8 |
---|---|---|---|---|---|---|---|---|
Rating |
- Describe each criterion measure used and explain why each measure is appropriate, given the type and purpose of the tool.
-
- Describe the sample(s), including size and characteristics. Please provide documentation showing that the sample was composed of students in need of intensive intervention. A sample of students with intensive needs should satisfy one of the following criteria: (1) all students scored below the 30th percentile on a local or national norm, or the sample mean on a local or national test fell below the 25th percentile; (2) students had an IEP with goals consistent with the construct measured by the tool; or (3) students were non-responsive to Tier 2 instruction. Evidence based on an unknown sample, or a sample that does not meet these specifications, may not be considered.
- Describe the frequency of measurement (for each student in the sample, report how often data were collected and over what span of time).
- Describe the analysis procedures for each reported type of validity.
In the table below, report predictive validity of the slope (correlation between the slope and achievement outcome) by grade level (if relevant).
NOTE: The TRC suggests controlling for initial level when the correlation for slope without such control is not adequate.
Type of | Subscale | Subgroup | Informant | Age / Grade | Test or Criterion | n (sample/ examinees) |
n (raters) |
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 validity studies:
- No
- Provide citations for additional published studies.
- Describe the degree to which the provided data support the validity of the tool.
- Do you have validity of the slope data that is disaggregated by subgroups (e.g., race/ethnicity, gender, socioeconomic status, students with disabilities, English language learners)?
- No
If yes, fill in data for each subgroup with disaggregated validity of the slope data.
Type of | Subscale | Subgroup | Informant | Age / Grade | Test or Criterion | n (sample/ examinees) |
n (raters) |
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 validity studies:
- No
- Provide citations for additional published studies.
Alternate Forms
Grade | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Grade 6 | Grade 7 | Grade 8 |
---|---|---|---|---|---|---|---|---|
Rating |
- Describe the sample for these analyses, including size and characteristics:
- Forms were developed carefully to achieve content balance. Thus, each form was derived from a common blueprint. To demonstrate empirically the equivalence of forms, we used progress monitoring data. After selecting students who scored below the 30th percentile and had at least 10 observations over 20 weeks, we calculated a mean score for each form adjusted for typical growth. The form means were subtracted for the grand mean for all forms within the grade of interest. That difference was converted to standard deviation units. Comparability of the entire set of 20 forms is also summarized using analysis of variance where Form is treated as a fixed factor. The results indicate that Form accounts for a very small amount of the total score variance (between 0% and 2%). This is a very small percent and will have a trivial effect on the growth slope over the 20 or so administrations that are common for progress monitoring. The data file consisted of all scores collected during the 2018-2019 school year in which the students were below the 30th national percentile or lower. The sample demographics represent at least 15 states in each grade, all race/ethnicity categories, urban, suburban, and rural school districts, and the full range of socio-economic status. See results below for specific sample sizes by tool, grade, and analysis.
- What is the number of alternate forms of equal and controlled difficulty?
- 20
- If IRT based, provide evidence of item or ability invariance
- If computer administered, how many items are in the item bank for each grade level?
- N/A
- If your tool is computer administered, please note how the test forms are derived instead of providing alternate forms:
- N/A
Decision Rules: Setting & Revising Goals
Grade | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Grade 6 | Grade 7 | Grade 8 |
---|---|---|---|---|---|---|---|---|
Rating |
- In your manual or published materials, do you specify validated decision rules for how to set and revise goals?
- No
- If yes, specify the decision rules:
-
What is the evidentiary basis for these decision rules?
NOTE: The TRC expects evidence for this standard to include an empirical study that compares a treatment group to a control and evaluates whether student outcomes increase when decision rules are in place.
Decision Rules: Changing Instruction
Grade | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Grade 6 | Grade 7 | Grade 8 |
---|---|---|---|---|---|---|---|---|
Rating |
- In your manual or published materials, do you specify validated decision rules for when changes to instruction need to be made?
- No
- If yes, specify the decision rules:
-
What is the evidentiary basis for these decision rules?
NOTE: The TRC expects evidence for this standard to include an empirical study that compares a treatment group to a control and evaluates whether student outcomes increase when decision rules are in place.
Data Collection Practices
Most tools and programs evaluated by the NCII are branded products which have been submitted by the companies, organizations, or individuals that disseminate these products. These entities supply the textual information shown above, but not the ratings accompanying the text. NCII administrators and members of our Technical Review Committees have reviewed the content on this page, but NCII cannot guarantee that this information is free from error or reflective of recent changes to the product. Tools and programs have the opportunity to be updated annually or upon request.