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How numerical are ANS representations?
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 re...
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| Format: | Data Data |
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2023
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| Online Access: | https://dx.doi.org/10.17028/rd.lboro.19061051.v1 |
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| _version_ | 1818165596866478080 |
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| author | Jayne Pickering James S. Adelman Matthew Inglis |
| author_facet | Jayne Pickering James S. Adelman Matthew Inglis |
| author_sort | Jayne Pickering (1384821) |
| collection | Figshare |
| description | 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 |
| format | Data Data |
| id | rr-article-19061051 |
| institution | Loughborough University |
| publishDate | 2023 |
| record_format | Figshare |
| spelling | rr-article-190610512023-01-09T10:18:15Z How numerical are ANS representations? Jayne Pickering (1384821) James S. Adelman (11590034) Matthew Inglis (1384290) Cognitive and computational psychology not elsewhere classified Approximate Number System Object Tracking System Cognitive Science not elsewhere classified <p>Data and analyses associated with the manuscript "How numerical are ANS representations?"</p> <p><br></p> <p>Qu et al data are posted at <a href="https://osf.io/u82fn/" target="_blank">https://osf.io/u82fn/</a></p> <p><br></p> <p><br></p> <p>Code book</p> <p><br></p> <p>HowNumerical-Exp1-Data.xlsx</p> <p><br></p> <p>Trial-by-Trial data</p> <p><br></p> <p>Participant Private ID - participant ID</p> <p>Reaction Time - RT (ms)</p> <p>Response - Keyboard response</p> <p>Correct - 1 if correct, 0 if incorrect</p> <p>NumA - Image for first number (see stimuli property file)</p> <p>NumB - Image for second number (see stimuli property file)</p> <p>NumC - Image for third number (see stimuli property file)</p> <p>Question - question ID</p> <p>Q.type - condition (2x2, 3x3, 4x4, etc)</p> <p>Answer.type - answer type (big, small or correct)</p> <p>TrialType - NonSymbolic or Symbolic</p> <p><br></p> <p>Participant data</p> <p><br></p> <p>Participant Private ID - participant ID</p> <p>Sex - participant self-reported sex (1 female, 2 male)</p> <p>Age - participant self-reported age</p> <p>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)</p> <p>Residence - self-reported country of residence</p> <p>Lang - whether English is first language (1 - Yes, 2 - Yes but joint with another language, 3 - No)</p> <p>Tech.probs - did the participant have technical problems? (1 - No)</p> <p>NSx2.overall.acc - accuracy (%) ono the nonsymbolic 2x2 problems</p> <p>NSx3.overall.acc - accuracy (%) ono the nonsymbolic 3x3 problems</p> <p>NSx4.overall.acc - accuracy (%) ono the nonsymbolic 4x4 problems</p> <p>NSx5.overall.acc - accuracy (%) ono the nonsymbolic 5x5 problems</p> <p>NSx6.overall.acc - accuracy (%) ono the nonsymbolic 6x6 problems</p> <p>NSx7.overall.acc - accuracy (%) ono the nonsymbolic 7x7 problems</p> <p>NSx8.overall.acc - accuracy (%) ono the nonsymbolic 8x8 problems</p> <p>Sx2 - accuracy (%) ono the symbolic 2x2 problems</p> <p>Sx3 - accuracy (%) ono the symbolic 3x3 problems</p> <p>Sx4 - accuracy (%) ono the symbolic 4x4 problems</p> <p>Sx5 - accuracy (%) ono the symbolic 5x5 problems</p> <p>Sx6 - accuracy (%) ono the symbolic 6x6 problems</p> <p>Sx7 - accuracy (%) ono the symbolic 7x7 problems</p> <p>Sx8 - accuracy (%) ono the symbolic 8x8 problems</p> <p><br></p> <p><br></p> <p><br></p> <p>HowNumerical-Exp2-Data.xlsx</p> <p><br></p> <p>Trial-by-Trial data</p> <p><br></p> <p>Participant Private ID - participant ID</p> <p>Reaction Time - RT (ms)</p> <p>Response - Keyboard response</p> <p>Correct - 1 if correct, 0 if incorrect</p> <p>Multiplicand - multiplicand</p> <p>Multiplier - multiplier</p> <p>Answer - purported answer</p> <p>AnswerType - answer type (large, small, correct)</p> <p>Condition - small x large, large x small, small x small, large x large</p> <p>TrialType - NonSymbolic or Symbolic</p> <p><br></p> <p>Participant data</p> <p><br></p> <p>PPT - participant ID</p> <p>Sex - participant self-reported sex (1 female, 2 male)</p> <p>Age - participant self-reported age</p> <p>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)</p> <p>Residence - self-reported country of residence</p> <p>Lang - whether English is first language (1 - Yes, 2 - Yes but joint with another language, 3 - No)</p> <p>Tech.probs - did the participant have technical problems? (1 - No)</p> <p>Tech.prob.exp - self-reported explanatin of the technical problem</p> <p>NS-LL - accuracy (proportion) on the nonsymbolic large x large problems</p> <p>NS-LS - accuracy (proportion) on the nonsymbolic large x small problems</p> <p>NS-SL - accuracy (proportion) on the nonsymbolic small x large problems</p> <p>NS-SS - accuracy (proportion) on the nonsymbolic small x small problems</p> <p>S-LL - accuracy (proportion) on the symbolic large x large problems</p> <p>S-LS - accuracy (proportion) on the symbolic large x small problems</p> <p>S-SL - accuracy (proportion) on the symbolic small x large problems</p> <p>S-SS - accuracy (proportion) on the symbolic small x small problems</p> 2023-01-09T10:18:15Z Dataset Dataset 10.17028/rd.lboro.19061051.v1 https://figshare.com/articles/dataset/How_numerical_are_ANS_representations_/19061051 CC BY-NC 4.0 |
| spellingShingle | Cognitive and computational psychology not elsewhere classified Approximate Number System Object Tracking System Cognitive Science not elsewhere classified Jayne Pickering James S. Adelman Matthew Inglis How numerical are ANS representations? |
| title | How numerical are ANS representations? |
| title_full | How numerical are ANS representations? |
| title_fullStr | How numerical are ANS representations? |
| title_full_unstemmed | How numerical are ANS representations? |
| title_short | How numerical are ANS representations? |
| title_sort | how numerical are ans representations? |
| topic | Cognitive and computational psychology not elsewhere classified Approximate Number System Object Tracking System Cognitive Science not elsewhere classified |
| url | https://dx.doi.org/10.17028/rd.lboro.19061051.v1 |