Learning preferences

Make learning more comfortable. Changes apply immediately.

Enlarges page content, including diagrams and their labels. You can also use your browser’s zoom.

Choose the colours that are easiest for you to distinguish. Applies to lesson diagrams and lab plots. Labels, shapes, hatching and line patterns also distinguish meanings. Source photographs and raw image brightness stay unchanged; mask-only views are available for image overlays.

ExampleComparisonSample link

Saved in this browser on this device. Preferences are separate from progress backups.

Psychology and human behavior · Perception mechanisms 2

Separate detecting a signal from deciding it is there

Use hits and false alarms to distinguish response policy from improved sensory discrimination.

Your task: Calculate two response rates and explain why more detections alone do not establish better sensitivity.

Open the investigation · Read the explanation · Your saved evidence

Starting recap and vocabulary

A rate divides a count by the relevant number of opportunities. A false alarm is a 'yes' when the signal is absent.

Criterion
The decision policy for reporting a signal.
Hit rate
Yes responses on signal trials divided by signal trials.
False-alarm rate
Yes responses on no-signal trials divided by no-signal trials.
01 · TRY

If a listener reports more tones, must their hearing have improved?

Complete a two-by-two table for each condition: signal present/absent by yes/no. Calculate hit and false-alarm rates. Explain what changed and what further evidence would distinguish sensitivity from response policy.

Complete the labeled table or trace with the supplied records. Explain each step in words before using the technical term.

Make a provisional claim

Loading saved evidence…

Inspect evidence and test an explanation

The investigation controls appear when your local evidence is ready.

04 · UNDERSTAND

Connect evidence and mechanism

Separate detecting a signal from deciding it is there

Use hits and false alarms to distinguish response policy from improved sensory discrimination.

A question to investigate

If a listener reports more tones, must their hearing have improved?

Calculate two response rates and explain why more detections alone do not establish better sensitivity.

Mechanism and evidence

Sensation concerns detecting and converting physical stimulation; perception concerns organizing and interpreting sensory information. Attention, expectations and context affect reported experience. An absolute threshold is often operationalized as detection on half the trials under specified conditions. In signal detection, observed responses depend on both information quality and a decision criterion. A more liberal criterion can increase both hits and false alarms. The linked text introduces these distinctions.

In these invented trials, a yes response has two possible meanings. On a tone trial it is a hit; on a noise-only trial it is a false alarm. A no on a tone trial is a miss, while a no on a noise-only trial is a correct rejection. Label all four cells before calculating percentages. Total yes responses combine two denominators and therefore obscure the mechanism.

Condition A produces 24 hits, 16 misses, 4 false alarms and 36 correct rejections. Condition B produces 34 hits, 6 misses, 14 false alarms and 26 correct rejections. A’s hit rate is 24/40 = 60%; its false-alarm rate is 4/40 = 10%. B’s corresponding rates are 85% and 35%. Both rise by 25 percentage points. This pattern is compatible with a criterion change; it does not by itself quantify unchanged sensitivity.

Make a second prediction for a genuinely stronger signal with unchanged instructions. One might expect better separation of signal and noise, but the actual response distribution must be measured. To estimate a sensitivity statistic, one must state its model and assumptions; subtracting the two rates is not the standard normal-distribution sensitivity measure. This lesson deliberately stops at the observable rates.

For transfer, design a comparison that includes noise-only trials and records the instructions. Do not test classmates with loud sounds or flashing stimuli. The supplied records allow the reasoning without any sensory exposure. A diagram of the response categories plus your written interpretation is the required artifact.

Inspect the relationships

Reality and responseSays yesSays no
Signal presentHitMiss
Signal absentFalse alarmCorrect rejection

Your table: Replace these labels with A’s counts, then B’s counts. Keep the two 40-trial denominators visible.

Worked example

Condition A: hit rate 60%, false-alarm rate 10%. Condition B: 85% and 35%. Reporting more signals also generated more false alarms; an improved hearing claim is not established.

Independent application

A new detector has 18 hits in 20 signal trials and 9 false alarms in 10 noise trials. Which report is accurate? Explain the denominator, process or rule before checking the response. Record a revision after feedback.

Reading

OpenStax Psychology 2e, sensation versus perception. The numerical records and tasks are original fictional teaching examples; they are not findings reported by this source.

Worked example

Condition A: hit rate 60%, false-alarm rate 10%. Condition B: 85% and 35%. Reporting more signals also generated more false alarms; an improved hearing claim is not established.

Check the reasoning, then transfer it

Loading response history…

Keep your evidence and choose a next step

Loading saved lesson status…