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Contents of data

itang1 edited this page Sep 20, 2019 · 5 revisions

Pipeline:

question_acc_output | excluded_original_asc vs. original_asc | reformat_asc | fix_align_output | scripter_output | robodoc_output | eyedry_output | analysis | manuscript

question_acc_output/

  • contents generated by question_acc.py
  • see src/copy_question_acc for details

excluded_original_asc/

  • .asc data files that were excluded for any reason
  • participants could have been excluded due to
    • irreparable data files
    • not fixating on the critical region on at least 50% of experimental trials
    • answering too many 'was that limerick dirty' questions incorrectly

original_asc/

  • put original .asc data here by hand; retrieve them from the eyetracker computers

reformat_asc/

  • contents generated by reformat_asc.py

FA_Dir/

  • contents generated by fix_align.R; fixes the alignment of the eyetracks
  • see src/copy_fix_align for details

scripter/

  • contents are auto-generated by scripter and make_cnt
  • see src/copy_make_cnt and src/copy_Scripter2 for details

robodoc/

  • contents generated by Robodoc.py
  • see src/copy_Robodoc for details

eyedry/

  • copy_Stat/: a copy of the statistical analysis software Stat by Gary Perlman (1986)
    • we used anovas and elogit for our analysis
  • within each of the five graphs folders:
    • original_eyedry_output/: contains output from the eyedry software
      • only the IXS (item x subject) data was analyzed
      • the other two IXI (item x item) and SXS (subject x subject) data were not analyzed; we just saved a copy of them just in case because they were already there
    • edited_eyedry_output/: slightly tweaks the original eyedry output such that we can use it
      • generated by the src/edit_cond.py script
      • note that the column headers are seq,subj,item,cond,R1,R2,R3,R4,R5,R6,R7
      • puts 0's in the place of nothing where there are non-fixations, and writes out the match/clash conditions as text
        • condition 1 = match_tap
        • condition 2 = match_this
        • condition 3 = clash_tap
        • condition 4 = clash_this
      • e.g. 103,1,1,2,,,,,,332, becomes 103,1,1,match_this,0,0,0,0,0,332,0
    • Limerick1_graphs.xlsx - contains figures for each of the measures, created from their anovas
    • trace_graphs.txt - trace of how eyedry crunched the numbers
      • generated by eyedry
    • note that graphs2 does not contain an original_eyedry_output_2/ folder, an edited_eyedry_output_2 folder, nor a trace_graphs2.txt file
      • this is because it uses the same eyedry outputs as graphs1
      • the only difference is that zero-fixations were excluded during the anova step
    • note that graphs3 does not contain an orignial_eyedry_output_3/ folder, nor a trace_graphs3.txt file
      • this is because it uses the same eyedry outputs as graphs1
      • the only difference is that data was removed for participants who never fixated in Region3 under a particular condition, since this was making the Region3 firstPass and goPast anovas unbalanced (see edited_eyedry_output_3)

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