Data Analysis & Reporting Flashcards

In a Multi-Tiered System of Support (MTSS), which data is used to determine whether a student should move from Tier 2 to Tier 3 services?

Answer: Progress monitoring data showing insufficient response to the Tier 2 intervention

In MTSS, data-based decision making uses progress monitoring data to evaluate a student's response to intervention and determine if more intensive support is needed.

Progress monitoring data should be collected at which frequency for students receiving Tier 2 interventions?

Answer: Regularly (e.g., weekly or bi-weekly) to track response to intervention

Frequent, ongoing progress monitoring (weekly or bi-weekly) at Tier 2 allows timely detection of student response or non-response so interventions can be adjusted promptly.

A counselor notices that attendance data shows a spike in absences every Monday. The MOST likely data-driven next step is to:

Answer: Investigate potential patterns such as weekend substance use or work obligations

Patterns in attendance data should prompt investigation into possible contributing factors before drawing conclusions or implementing interventions.

When using a standardized risk screener, a student scores in the 'elevated risk' range. This result MEANS that:

Answer: The student's score warrants follow-up assessment to clarify the level of need

A positive screen indicates elevated risk and the need for follow-up assessment; it is not a diagnosis and does not confirm the presence of a disorder.

A student assistance counselor uses data to identify that students with three or more risk factors show significantly poorer outcomes. This finding BEST supports which practice?

Answer: Targeting early, intensive intervention resources to students with multiple risk factors

Research on cumulative risk supports directing more intensive, early intervention resources to students with multiple risk factors to prevent worse outcomes.

Which action represents appropriate use of data in a student assistance program decision-making cycle?

Answer: Reviewing outcome data annually to determine whether to continue, modify, or discontinue a program

A data-driven decision-making cycle involves regularly reviewing outcomes to make informed decisions about program continuation, modification, or discontinuation.

A school's MTSS team is reviewing data and finds that 22% of students are not meeting behavioral benchmarks. According to MTSS logic, this finding SUGGESTS:

Answer: The universal (Tier 1) system may need strengthening before adding Tier 2 supports

When more than roughly 20% of students fail to meet benchmarks, it typically indicates a systemic issue with Tier 1 that must be addressed before layering on higher-tier services.