A selected record and an original worked study

2000

Audition Comparisons: Paired and Pooled

Work through an invented audition ledger in which pooled and paired contrasts have opposite signs, then identify which observations support each comparison.

An invented eight-observation audition ledger with pooled contrast โˆ’0.25 and paired change +0.50.
8 / 6
Invented observations/people
โˆ’0.25
Invented pooled contrast
+0.50
Invented paired mean change

The short answer

A changed outcome can reflect a changed condition, changed participants or both. An original small ledger makes those possibilities visible without pretending to reproduce a confidential historical dataset.

Record comparison

Different observations identify different contrasts

Keep the historical record distinct from the stipulated model.

All numerical fixtures below are invented unless explicitly labelled historical.
QuestionRecord or stipulated inputConsequence and limit
PooledFour observations in each conditionDifferent people enter the two groups.
PairedA and B onlyThe same people appear under both conditions.
Causal interpretationNeither contrast gets randomisation for freeTime-varying explanations remain possible.

Chronology

A timeline of the turning points

  1. Joint study

    The selected audition paper appeared.

The selected identification problem

Goldin and Rouseโ€™s paper uses person-round observations and examines candidates appearing under screened and unscreened conditions. Its individual fixed-effects comparison aims to account for time-invariant differences between people; estimates vary across rounds and samples.

The relevant question is which observations actually identify a within-person comparison. A large pooled total need not supply the same information as a smaller repeated-person sample, and a repeated-person contrast does not eliminate every time-varying influence.

Sources for this section: [1]

A fully invented ledger

Let 0 mean no advancement and 1 mean advancement. Candidate A has open 0 and screened 1. Candidate B has open 1 and screened 1. Candidates C and D have only open observations, each 1. Candidates E and F have only screened observations, each 0. There are eight person-round observations from six people.

First calculate each conditionโ€™s pooled success rate. Then calculate the mean screened-minus-open change using only the two paired candidates. Which people supply the paired comparison, and which people change only the pooled composition?

Sources for this section: [1]

Two correct calculations with different answers

Open outcomes are 0, 1, 1, 1, giving 3/4=0.75. Screened outcomes are 1, 1, 0, 0, giving 2/4=0.50. The pooled screened-minus-open contrast is โˆ’0.25.

For the paired candidates, A changes by +1 and B by 0; their mean change is +0.50. C, D, E and F do not identify this within-person contrast. Their inclusion changes the pooled groupsโ€™ composition enough to reverse the sign. These are different estimands, not an arithmetic contradiction.

Sources for this section: [1]

What neither number proves

The fixture has no random assignment, uncertainty calculation or assurance that candidatesโ€™ ability remains constant. The paired result could still reflect practice, changing repertoire or an unmeasured time-related influence.

The historical method motivates asking who is compared with whom. The invented answer illustrates composition rather than establishing a universal effect of screening, reproducing the paperโ€™s estimates or judging any real orchestraโ€™s conduct.

Sources for this section: [1]

Continue the chronology

Biography context

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Connected biographies

The working life behind the record

Quick answers

Common questions

Are the eight outcomes historical audition records?
No. They are invented for this study.
Does a within-person comparison remove every possible confounder?
No. It can account for fixed differences while leaving time-varying differences unresolved.

Primary and institutional sources

How this history was checked

Selected records support the historical discussion. Invented inputs and original answers are labelled; no complete uninspected work is claimed. This article was reviewed on 31 October 2026.

  1. Claudia Goldin and Cecilia Rouse, American Economic Review 90, 715โ€“741, 2000Orchestrating Impartiality: The Impact of โ€œBlindโ€ Auditions on Female Musicians