Trial Exclusion Attention Check Token Tool

Description

Flag required attention-check mismatches.

Behavioral-study coding depends on observation intervals, missing samples, event records and assignment rules. Partial-, whole- and momentary-sampling summaries answer different questions; local agreement or coverage does not establish actual behavior, a diagnosis or an effective intervention.

Flag required attention-check mismatches.

When to use this tool

Use Trial Exclusion Attention Check Token when checking the stated behavioral-research observation, assignment, coverage or coding convention.

How to use the tool and how it works

Enter observed, expected, required. Follow any array-alignment requirements below. Use the units and conventions below.
Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
Read failedIndexes, exclude. Inspect exclude before interpreting the associated values.

Flag required attention-check mismatches. Require aligned observed/expected/required arrays; failedIndexes includes required unequal entries, exclude reports any failure.^[1]

Input field	Meaning and units	Accepted input
observed	Observed	Required. Array of text; maximum UTF-16 length 8192; maximum items 256.
expected	Expected	Required. Array of text; maximum UTF-16 length 8192; maximum items 256.
required	Required	Required. Array of boolean; maximum items 256.

Output field	Interpretation	Returned shape
failedIndexes	Failed Indexes	Required. Array of safe integer; maximum items 256.
exclude	Exclude	Required. Boolean.

json

{
  "input": {
    "observed": [
      "A",
      "B"
    ],
    "expected": [
      "A",
      "C"
    ],
    "required": [
      true,
      true
    ]
  },
  "output": {
    "failedIndexes": [
      1
    ],
    "exclude": true
  }
}

Limitations and assumptions

Expected answers and exclusion policy are supplied; literal mismatch does not establish inattention or justify a research exclusion independently.
Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.

Alternative or Complementary methods

Use verified observations and the study’s complete sampling/coding protocol, with appropriate statistical and professional interpretation for health or intervention decisions.

References

Calculation and input contract: behavioral-science/trial-exclusion-attention-check-token — tool.io

Similar or alternative tools

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