In evaluating Jia Li's concerns, what is the best next step for the school psychologist?

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Multiple Choice

In evaluating Jia Li's concerns, what is the best next step for the school psychologist?

Explanation:
When a school psychologist is faced with concerns about a student, the priority is to gather information across different contexts to understand what’s really happening. By asking about Jia Li’s behavior under various conditions and then conducting a targeted assessment, you can determine whether the difficulty is related to academics (such as skill gaps or instructional issues) or to behavior (such as self-regulation, attention, or social–emotional factors). This approach uses data from multiple sources and settings, which helps reveal patterns—does the behavior occur only in certain subjects, at particular times of day, or with specific people? It also guides what kind of support is needed. If the issue is academic, the path might involve targeted instructional supports, accommodations, or further learning assessments. If it’s behavioral, the plan could focus on behavior management strategies or behavioral supports, perhaps informed by a functional behavioral assessment. Jumping straight to interventions without understanding the root cause risks choosing actions that won’t help. Observing only in math, for example, could miss patterns seen in other classes or during social interactions. External referrals can be unnecessary or slow down help if school-based data already point to a clear direction. So the best next step is a thorough, context-rich data collection followed by an assessment to classify the issue as academic or behavioral and to tailor the subsequent plan accordingly.

When a school psychologist is faced with concerns about a student, the priority is to gather information across different contexts to understand what’s really happening. By asking about Jia Li’s behavior under various conditions and then conducting a targeted assessment, you can determine whether the difficulty is related to academics (such as skill gaps or instructional issues) or to behavior (such as self-regulation, attention, or social–emotional factors).

This approach uses data from multiple sources and settings, which helps reveal patterns—does the behavior occur only in certain subjects, at particular times of day, or with specific people? It also guides what kind of support is needed. If the issue is academic, the path might involve targeted instructional supports, accommodations, or further learning assessments. If it’s behavioral, the plan could focus on behavior management strategies or behavioral supports, perhaps informed by a functional behavioral assessment.

Jumping straight to interventions without understanding the root cause risks choosing actions that won’t help. Observing only in math, for example, could miss patterns seen in other classes or during social interactions. External referrals can be unnecessary or slow down help if school-based data already point to a clear direction. So the best next step is a thorough, context-rich data collection followed by an assessment to classify the issue as academic or behavioral and to tailor the subsequent plan accordingly.

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