Week 7: Best Practices for Screening Academic Deficits Flashcards
(16 cards)
Rate of improvement
The speed at which a student improves their skill in a target area within a given amount of time
Diagnostic accuracy
Statistical term that indicates how precise a measure is, based on applied thresholds in identifying students who are at risk for later deficits.
Sensitivity
How accurate a measure is, based on cut score, in identifying students who will later demonstrate deficient skills in target area
Specificity
How accurate a measure is, based on a cut score, in identifying students who will not later demonstrate deficient skills in the target area
Universal Screening
A process that generally consists of administering measures or collecting other data to allowed broad generalizations to made regarding the future outcomes and performance of all students at an individual and group level
Universal screening is…
Systematic
Universal
Periodic
Purposes of Univeral Screening
Early identification of students in need of academic skill remediation
Evaluating quality of systems in place (school, grade, classroom etc.)
Understand student growth over time
Multiple-Gate Approach
Conducting stages or gates of assessments with increasingly smaller groups of students
Multiple Skill Assessment
Administering variety of skill assessments at one time and considering all the data at once
Progress Monitoring
Evaluating response to Tier 1 instruction over a perid of time for students considered at risk
Universal screening is a diagnostic assessment to determine disability status (T/F)
F
Universal screening is an assessment of observable skills linked directly to intervention (T/F)
T
Universal screening is only for one group of students (T/F)
F
Universal Screening is a global assessment of all students
T
Questions to ask when selecting a Universal Screening Measure
What data is already being collected?
Does this measure relate back to the interventions/instruction?
Does this measure demonstrate reliability, validity, classification accuracy and evidence of limited bias?
What resources or expertise are needed to adopt this measure?
