Khoo2015: experimental results (generated) #
Auto-generated from Linglib/Data/Experiments/Khoo2015.json by scripts/gen_experiments.py.
Do not edit by hand: edit the JSON and re-run the generator.
The experiment of section II: participants read a control vignette with a non-modal assertion and a modal vignette in which Smith says 'Fat Tony might be dead' while the participant knows him to be alive, and rated on a seven-point scale either whether what the speaker said is false or whether they would reject it with 'No, ...'. Footnote 13 prints the mean and standard deviation of each cell. The released survey has 31 participants in the False condition and 30 in the Rejection condition, 61 against the paper's sixty, which the t-tests' degrees of freedom (59 between the conditions, 30 within the False one) agree with.
Raw data #
- https://semanticsarchive.net/Archive/Tc0NmIzY/: the survey export datamd.xlsx and the vignettes; footnote 13 is recomputed from its columns C1 false, C1 no, M false and M no
References #
Equations
- Khoo2015.instDecidableEqSentence x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
Equations
- Khoo2015.instReprSentence = { reprPrec := Khoo2015.instReprSentence.repr }
Equations
- Khoo2015.instReprSentence.repr Khoo2015.Sentence.control prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Khoo2015.Sentence.control")).group prec✝
- Khoo2015.instReprSentence.repr Khoo2015.Sentence.modal prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Khoo2015.Sentence.modal")).group prec✝
Instances For
Equations
- Khoo2015.instFintypeSentence = { elems := { val := ↑Khoo2015.Sentence.enumList, nodup := Khoo2015.Sentence.enumList_nodup }, complete := Khoo2015.instFintypeSentence._proof_1 }
Equations
- Khoo2015.instDecidableEqResponse x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
Equations
- One or more equations did not get rendered due to their size.
- Khoo2015.instReprResponse.repr Khoo2015.Response.rejection prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Khoo2015.Response.rejection")).group prec✝
Instances For
Equations
- Khoo2015.instReprResponse = { reprPrec := Khoo2015.instReprResponse.repr }
Equations
- Khoo2015.instFintypeResponse = { elems := { val := ↑Khoo2015.Response.enumList, nodup := Khoo2015.Response.enumList_nodup }, complete := Khoo2015.instFintypeResponse._proof_1 }
The midpoint of the seven-point scale, labelled 'in between'. (section II.i, p. 519; checked against the PDF text layer only.)
Equations
Instances For
A row of footnote 13, p. 520: the mean rating of a vignette under a question.
- mean : Data.Experiments.Decimal
The mean rating on the seven-point scale.
The standard deviation.
Instances For
Equations
- Khoo2015.instDecidableEqRating.decEq { mean := a, sd := a_1 } { mean := b, sd := b_1 } = if h : a = b then h ▸ if h : a_1 = b_1 then h ▸ isTrue ⋯ else isFalse ⋯ else isFalse ⋯
Instances For
Equations
- One or more equations did not get rendered due to their size.
Instances For
Equations
- Khoo2015.instReprRating = { reprPrec := Khoo2015.instReprRating.repr }
The cells of footnote 13, p. 520, by sentence and response; recomputed from the authors'
released data by scripts/check_experiments.py.
Equations
- Khoo2015.ratings Khoo2015.Sentence.control Khoo2015.Response.judgedFalse = { mean := { mantissa := 610, exponent := 2 }, sd := { mantissa := 135, exponent := 2 } }
- Khoo2015.ratings Khoo2015.Sentence.control Khoo2015.Response.rejection = { mean := { mantissa := 560, exponent := 2 }, sd := { mantissa := 113, exponent := 2 } }
- Khoo2015.ratings Khoo2015.Sentence.modal Khoo2015.Response.judgedFalse = { mean := { mantissa := 242, exponent := 2 }, sd := { mantissa := 161, exponent := 2 } }
- Khoo2015.ratings Khoo2015.Sentence.modal Khoo2015.Response.rejection = { mean := { mantissa := 503, exponent := 2 }, sd := { mantissa := 177, exponent := 2 } }