How numerical are ANS representations?
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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
创建时间:
2023-06-28



