Loughborough University
Browse
1/1
9 files

How numerical are ANS representations?

dataset
posted on 2023-01-09, 10:18 authored by Jayne Pickering, James S. Adelman, Matthew InglisMatthew Inglis

Data and analyses associated with the manuscript "How numerical are ANS representations?"


Qu et al data are posted at https://osf.io/u82fn/



Code book


HowNumerical-Exp1-Data.xlsx


Trial-by-Trial data


Participant Private ID - participant ID

Reaction Time - RT (ms)

Response - Keyboard response

Correct - 1 if correct, 0 if incorrect

NumA - Image for first number (see stimuli property file)

NumB - Image for second number (see stimuli property file)

NumC - Image for third number (see stimuli property file)

Question - question ID

Q.type - condition (2x2, 3x3, 4x4, etc)

Answer.type - answer type (big, small or correct)

TrialType - NonSymbolic or Symbolic


Participant data


Participant Private ID - participant ID

Sex - participant self-reported sex (1 female, 2 male)

Age - participant self-reported age

High.qual - particpant self-reported highest qualification (1 to 8: Did not finish school, Finished school education up to age 16 (or the equivalent - e.g. GED), Finished school education up to age 18, Trade/technical/vocational-training qualification, Some university, Bachelor's degree, Master's degree, PhD)

Residence - self-reported country of residence

Lang - whether English is first language (1 - Yes, 2 - Yes but joint with another language, 3 - No)

Tech.probs - did the participant have technical problems? (1 - No)

NSx2.overall.acc - accuracy (%) ono the nonsymbolic 2x2 problems

NSx3.overall.acc - accuracy (%) ono the nonsymbolic 3x3 problems

NSx4.overall.acc - accuracy (%) ono the nonsymbolic 4x4 problems

NSx5.overall.acc - accuracy (%) ono the nonsymbolic 5x5 problems

NSx6.overall.acc - accuracy (%) ono the nonsymbolic 6x6 problems

NSx7.overall.acc - accuracy (%) ono the nonsymbolic 7x7 problems

NSx8.overall.acc - accuracy (%) ono the nonsymbolic 8x8 problems

Sx2 - accuracy (%) ono the symbolic 2x2 problems

Sx3 - accuracy (%) ono the symbolic 3x3 problems

Sx4 - accuracy (%) ono the symbolic 4x4 problems

Sx5 - accuracy (%) ono the symbolic 5x5 problems

Sx6 - accuracy (%) ono the symbolic 6x6 problems

Sx7 - accuracy (%) ono the symbolic 7x7 problems

Sx8 - accuracy (%) ono the symbolic 8x8 problems




HowNumerical-Exp2-Data.xlsx


Trial-by-Trial data


Participant Private ID - participant ID

Reaction Time - RT (ms)

Response - Keyboard response

Correct - 1 if correct, 0 if incorrect

Multiplicand - multiplicand

Multiplier - multiplier

Answer - purported answer

AnswerType - answer type (large, small, correct)

Condition - small x large, large x small, small x small, large x large

TrialType - NonSymbolic or Symbolic


Participant data


PPT - participant ID

Sex - participant self-reported sex (1 female, 2 male)

Age - participant self-reported age

High.qual - particpant self-reported highest qualification (1 to 8: Did not finish school, Finished school education up to age 16 (or the equivalent - e.g. GED), Finished school education up to age 18, Trade/technical/vocational-training qualification, Some university, Bachelor's degree, Master's degree, PhD)

Residence - self-reported country of residence

Lang - whether English is first language (1 - Yes, 2 - Yes but joint with another language, 3 - No)

Tech.probs - did the participant have technical problems? (1 - No)

Tech.prob.exp - self-reported explanatin of the technical problem

NS-LL - accuracy (proportion) on the nonsymbolic large x large problems

NS-LS - accuracy (proportion) on the nonsymbolic large x small problems

NS-SL - accuracy (proportion) on the nonsymbolic small x large problems

NS-SS - accuracy (proportion) on the nonsymbolic small x small problems

S-LL - accuracy (proportion) on the symbolic large x large problems

S-LS - accuracy (proportion) on the symbolic large x small problems

S-SL - accuracy (proportion) on the symbolic small x large problems

S-SS - accuracy (proportion) on the symbolic small x small problems

History

Ethics review number

Loughborough University 1693

Usage metrics

    Mathematics Education

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC