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Advanced Topics in
Card Sorting
William Hudson
william.hudson@syntagm.co.uk
www.syntagm.co.uk/design/cardsort.shtml
Advanced Topics

     Subgroups
     Deviants
     Navigational alignment




                                 2
Copyright (c) 2008 Syntagm Ltd
Scope

     Manual (where practical)
     EZSort / EZCalc
     Websort.net
     SynCaps V1
     SynCaps V2 (upcoming release)




                                     3
Copyright (c) 2008 Syntagm Ltd
Subgroups

     EZSort / EZCalc and SynCaps include
     the notion of anonymous subgroups:
               Vegetables
               Carrots
               Onions
                                 Subgroup
               Leeks
               -----
               Lettuce
               Tomatoes


                                            4
Copyright (c) 2008 Syntagm Ltd
Subgroups

     Subgroups tantalize researchers with
     the prospect of a three-level hierarchy:
     groups, subgroups and items

     The reality is not as promising
            Subgroups are a means of refining
            groups but the analysis is still only
            monothetic (based on how often items
            appear together)

                                                    5
Copyright (c) 2008 Syntagm Ltd
Proximity Matrix for Single Participant




                                                         n
                                                      no
                                                  vig




                                                    l
                                                 de
                                               au




                                             fan
                                 Me e t a y




                                 Sy ling io
                                       do e
                                   va t S


                                    ar gn
                                    be ai s




                                   es ig
                                   ar n




                                          in
                                 Cl n
                                 Ca r n e


                                 Ch p a




                                 Ri t Gr
                                 Ca uj ol




                                       eZ
                                 Pi at
                                 Mu t




                                 Wh
                                    am



                                    rlo
                                    sc
                                   no


                                   ra
                                   hit
                                   a


                                 Ch
                                 Be
Beaujolais                            1               1   1               1
Cabernet Sauvignon               1                    1   1               1
Cava                                          1
Champagne                                 1
Chardonnay                                                    1   1   1       1
Claret                           1    1                   1               1
Merlot                           1    1               1                   1
Muscat                                            1               1   1       1
Pinot Grigio                                      1           1       1       1
Riesling                                          1           1   1           1
Syrah                            1    1               1   1
White Zinfandel                                   1           1   1   1
                                                                                  6
Copyright (c) 2008 Syntagm Ltd
Proximity Matrix for All Participants




                                                          n
                                                       no
                                                   vig




                                                     l
                                                  de
                                                au




                                              fan
                                 Me e t a y
                                       do e




                                 Sy ling io
                                   va t S


                                    a r gn
                                   be ai s




                                   es ig
                                   ar n




                                           in
                                 Cl n
                                 Ca r ne

                                 Ch p a




                                 Ri t Gr
                                 Ca u j o l




                                       eZ
                                 Pi a t
                                 Mu o t




                                 Wh
                                    am




                                    sc
                                   no


                                   ra
                                   hit
                                    rl
                                   a


                                 Ch
                                 Be
Beaujolais             9              3   2      11 11 1   419
Cabernet Sauvignon 9                  1   1    2 10 9 2    4 1 10 1
Cava                31                    9    2314        1112
Champagne           21                9        1     13    21
Chardonnay             2              2   1          18    6 11 2 11
Claret             11 10              3             10 1   5    10 1
Merlot             11 9               1   1    1 10        4 2 10 1
Muscat              12                4   3    81          5828
Pinot Grigio        44                1   2    6545           637
Riesling            11                1   1   11     28    6     2 12
Syrah               9 10              1        2 10 10 2   32       2
White Zinfandel        1              2       11 1 1 8     7 12 2
                                                                        7
Copyright (c) 2008 Syntagm Ltd
Subgroups

     For EZSort / EZCalc and SynCaps
     subgroups affect the values added to the
     proximity matrix:
            2 added for items in same subgroup
            1 added for items in same group




                                                 8
Copyright (c) 2008 Syntagm Ltd
Proximity Matrix for Single
Participant (with Subgroups)




                                                      n
                                                    no
                                                vig




                                                 el
                                              nd
                                              au




                                 Me t y
                                 Cl don e




                                 Sy ling io



                                            fa
                                   va t S




                                      ea
                                    ar gn
                                    be i s




                                   es ig
                                   ar n




                                          in
                                 Ca jola
                                 Ca rne


                                 Ch pa




                                 Ri t Gr



                                       eZ
                                 Pi at
                                 Mu ot




                                 Wh
                                    am




                                    sc
                                    au




                                   no


                                   ra
                                   hit
                                    rl
                                 Ch
                                 Be
Beaujolais                           1               1   2               1
Cabernet Sauvignon               1                   2   1               2
Cava                                         2
Champagne                                2
Chardonnay                                                   2   2   2       1
Claret                           1   2                   2               2
Merlot                           2   2               2                   2
Muscat                                           2               2   2       1
Pinot Grigio                                     2           2       2       1
Riesling                                         2           2   2           1
Syrah                            1   2               2   2
White Zinfandel                                  1           1   1   1
                                                                                 9
Copyright (c) 2008 Syntagm Ltd
Dendrograms (SynCaps)




                                 Single Participant
                                  (no subgroups)
                                                      10
Copyright (c) 2008 Syntagm Ltd
Dendrograms (SynCaps)




                                 Two Participants
   Single Participant
                                  (no subgroups)
   (two subgroups)
                                                    11
Copyright (c) 2008 Syntagm Ltd
Dendrograms (SynCaps)
                  Notice that Apples and Plums
                       appear to be a subgroup




                                   Three Participants
                                 (subgroups and noise)
                                                         12
Copyright (c) 2008 Syntagm Ltd
Dendrograms

     The ‘hierarchy’ of a dendrogram only
     shows how frequently items were
     grouped together
     For well-aligned results, dendrograms
     appears to reflect a ‘real’ hierarchy
     Unfortunately, in practical use, this is
     rarely the case – further examination of
     the results is needed

                                                13
Copyright (c) 2008 Syntagm Ltd
Items x Groups (SynCaps V2)

                                 Breaks are for ease of reading
                                 only (they occur every three
                                 rows or columns)




                                                             14
Copyright (c) 2008 Syntagm Ltd
Pairs Map (SynCaps V2)




                                 Deviant Results
   Ideal Results

                                                   15
Copyright (c) 2008 Syntagm Ltd
Subgroups Summary
     Open sorts
            Subgroups are no substitute for multiple
            sorts at different levels
     Semi-open and closed sorts
            Participants will be given some (semi-
            open) or all (closed) group names
            Subgroups can be safely used to refine
            understanding
     Remember that in EZCalc / EZSort and
     SynCaps, subgroups are unnamed
                                                     16
Copyright (c) 2008 Syntagm Ltd
Dealing with Deviants

     Deviants
            Participants whose approach varies
            dramatically from others
            Items that participants do not group
            consistently
     In traditional cluster analysis no analysis
     is performed on participants. Deviant
     items appear only as weakly grouped.


                                                   17
Copyright (c) 2008 Syntagm Ltd
Deviant Items


‘Latest Updates’ and
 ‘Projects’ have very
  week relationships
     with other items




                                 18
Copyright (c) 2008 Syntagm Ltd
Deviant Participants

     Deviant participants have performed the
     sorting task very differently to their
     peers:
            Very different number of groups
            Extreme quality of fit (SynCaps)
            Very low alignment (SynCaps)




                                               19
Copyright (c) 2008 Syntagm Ltd
Quality of Fit

     In Computer-Aided Paper
     Sorting (Caps), each item can
     be marked with a quality of fit
     to its group
     The fit is averaged across
     items and participants
     Average participant fit can
     reveal extremes

                                       20
Copyright (c) 2008 Syntagm Ltd
SynCaps Participant File

Groups Items Pairs AveSize %AveAlign %ExpertAlign
    21    50   59      2.4      80%          73%
    10    50 190         5      63%          59%
    13    50   95      3.8      78%          69%
    15    50 106       3.3      76%          67%
     5    50 310       10       59%          50%
     7    50 302       7.1      60%          52%
    12    50 145       4.2      71%          65%


    AveAlign shows agreement between participants
                                                    21
Copyright (c) 2008 Syntagm Ltd
Participant Scattergram (Excel)
                           %AveAlign by Group Count
   90%
   80%
   70%
   60%
   50%
   40%
   30%
   20%
   10%
     0%
             0                   5   10    15         20   25


                                                                22
Copyright (c) 2008 Syntagm Ltd
Pairs Maps (SynCaps V2)




   All Participants               Participants with
                                 More than 10 Groups
                                                       23
Copyright (c) 2008 Syntagm Ltd
Pairs Map Reminder




                                 Ideal Results
    Deviant Results

                                                 24
Copyright (c) 2008 Syntagm Ltd
Deviants (200 Participants)
                                 %AveAlign
100%
   90%
   80%
   70%
   60%
   50%
   40%
   30%
   20%
   10%
     0%
       Participants who may have been ‘in it to win it’
                                                      25
Copyright (c) 2008 Syntagm Ltd
Navigational Alignment
     The SynCaps participants file includes
     two measures of alignment:
            Average alignment: how similar each
            participant is relative to the average
            across all participants
            Expert alignment: how similar each
            participant is relative to an ‘expert’ result
     When the ‘expert’ result is the current
     information architecture, we call the
     measure ‘navigational alignment’
                                                        26
Copyright (c) 2008 Syntagm Ltd
Navigational Alignment

     The pairs maps (SynCaps V2) is
     adjusted to shown the ‘expert’ results set
     as follows:


                                 Participant
                                 ‘Expert’




                                               27
Copyright (c) 2008 Syntagm Ltd
Navigational Alignment

                                 Travel group

                                 Expenses group


                                 Travel Expenses




                                                28
Copyright (c) 2008 Syntagm Ltd
SynCaps V1
     Data & processing
            Bar code or keyboard data entry
            Simple file format
            EZSort / EZCalc data supported
     Output files
            Cards, items, participants, proximity
            matrices (weighted and unweighted)
     Chart
            Dendrogram
                                                    29
Copyright (c) 2008 Syntagm Ltd
New to SynCaps V2
     Data capture & processing
            Ad hoc items
            Collapse items or groups
            Duplicate items
     Charts
            Pairs map (with ‘expert’ markers)
            Items x groups
            Multi-page printing


                                                30
Copyright (c) 2008 Syntagm Ltd
Items x Groups




                                 31
Copyright (c) 2008 Syntagm Ltd
Workshops

     Advances in Card Sorting (Workshop)
            London, 12 May 2008
            Edinburgh, 28 May 2008
     Attendees will receive a fully licensed
     copy of SynCaps V2

               www.csadvances.com
               www.syntagm.co.uk (design courses)

                                                    32
Copyright (c) 2008 Syntagm Ltd

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UKUPA Mar 08 William Hudson Advanced Topics In Card Sorting

  • 1. Advanced Topics in Card Sorting William Hudson william.hudson@syntagm.co.uk www.syntagm.co.uk/design/cardsort.shtml
  • 2. Advanced Topics Subgroups Deviants Navigational alignment 2 Copyright (c) 2008 Syntagm Ltd
  • 3. Scope Manual (where practical) EZSort / EZCalc Websort.net SynCaps V1 SynCaps V2 (upcoming release) 3 Copyright (c) 2008 Syntagm Ltd
  • 4. Subgroups EZSort / EZCalc and SynCaps include the notion of anonymous subgroups: Vegetables Carrots Onions Subgroup Leeks ----- Lettuce Tomatoes 4 Copyright (c) 2008 Syntagm Ltd
  • 5. Subgroups Subgroups tantalize researchers with the prospect of a three-level hierarchy: groups, subgroups and items The reality is not as promising Subgroups are a means of refining groups but the analysis is still only monothetic (based on how often items appear together) 5 Copyright (c) 2008 Syntagm Ltd
  • 6. Proximity Matrix for Single Participant n no vig l de au fan Me e t a y Sy ling io do e va t S ar gn be ai s es ig ar n in Cl n Ca r n e Ch p a Ri t Gr Ca uj ol eZ Pi at Mu t Wh am rlo sc no ra hit a Ch Be Beaujolais 1 1 1 1 Cabernet Sauvignon 1 1 1 1 Cava 1 Champagne 1 Chardonnay 1 1 1 1 Claret 1 1 1 1 Merlot 1 1 1 1 Muscat 1 1 1 1 Pinot Grigio 1 1 1 1 Riesling 1 1 1 1 Syrah 1 1 1 1 White Zinfandel 1 1 1 1 6 Copyright (c) 2008 Syntagm Ltd
  • 7. Proximity Matrix for All Participants n no vig l de au fan Me e t a y do e Sy ling io va t S a r gn be ai s es ig ar n in Cl n Ca r ne Ch p a Ri t Gr Ca u j o l eZ Pi a t Mu o t Wh am sc no ra hit rl a Ch Be Beaujolais 9 3 2 11 11 1 419 Cabernet Sauvignon 9 1 1 2 10 9 2 4 1 10 1 Cava 31 9 2314 1112 Champagne 21 9 1 13 21 Chardonnay 2 2 1 18 6 11 2 11 Claret 11 10 3 10 1 5 10 1 Merlot 11 9 1 1 1 10 4 2 10 1 Muscat 12 4 3 81 5828 Pinot Grigio 44 1 2 6545 637 Riesling 11 1 1 11 28 6 2 12 Syrah 9 10 1 2 10 10 2 32 2 White Zinfandel 1 2 11 1 1 8 7 12 2 7 Copyright (c) 2008 Syntagm Ltd
  • 8. Subgroups For EZSort / EZCalc and SynCaps subgroups affect the values added to the proximity matrix: 2 added for items in same subgroup 1 added for items in same group 8 Copyright (c) 2008 Syntagm Ltd
  • 9. Proximity Matrix for Single Participant (with Subgroups) n no vig el nd au Me t y Cl don e Sy ling io fa va t S ea ar gn be i s es ig ar n in Ca jola Ca rne Ch pa Ri t Gr eZ Pi at Mu ot Wh am sc au no ra hit rl Ch Be Beaujolais 1 1 2 1 Cabernet Sauvignon 1 2 1 2 Cava 2 Champagne 2 Chardonnay 2 2 2 1 Claret 1 2 2 2 Merlot 2 2 2 2 Muscat 2 2 2 1 Pinot Grigio 2 2 2 1 Riesling 2 2 2 1 Syrah 1 2 2 2 White Zinfandel 1 1 1 1 9 Copyright (c) 2008 Syntagm Ltd
  • 10. Dendrograms (SynCaps) Single Participant (no subgroups) 10 Copyright (c) 2008 Syntagm Ltd
  • 11. Dendrograms (SynCaps) Two Participants Single Participant (no subgroups) (two subgroups) 11 Copyright (c) 2008 Syntagm Ltd
  • 12. Dendrograms (SynCaps) Notice that Apples and Plums appear to be a subgroup Three Participants (subgroups and noise) 12 Copyright (c) 2008 Syntagm Ltd
  • 13. Dendrograms The ‘hierarchy’ of a dendrogram only shows how frequently items were grouped together For well-aligned results, dendrograms appears to reflect a ‘real’ hierarchy Unfortunately, in practical use, this is rarely the case – further examination of the results is needed 13 Copyright (c) 2008 Syntagm Ltd
  • 14. Items x Groups (SynCaps V2) Breaks are for ease of reading only (they occur every three rows or columns) 14 Copyright (c) 2008 Syntagm Ltd
  • 15. Pairs Map (SynCaps V2) Deviant Results Ideal Results 15 Copyright (c) 2008 Syntagm Ltd
  • 16. Subgroups Summary Open sorts Subgroups are no substitute for multiple sorts at different levels Semi-open and closed sorts Participants will be given some (semi- open) or all (closed) group names Subgroups can be safely used to refine understanding Remember that in EZCalc / EZSort and SynCaps, subgroups are unnamed 16 Copyright (c) 2008 Syntagm Ltd
  • 17. Dealing with Deviants Deviants Participants whose approach varies dramatically from others Items that participants do not group consistently In traditional cluster analysis no analysis is performed on participants. Deviant items appear only as weakly grouped. 17 Copyright (c) 2008 Syntagm Ltd
  • 18. Deviant Items ‘Latest Updates’ and ‘Projects’ have very week relationships with other items 18 Copyright (c) 2008 Syntagm Ltd
  • 19. Deviant Participants Deviant participants have performed the sorting task very differently to their peers: Very different number of groups Extreme quality of fit (SynCaps) Very low alignment (SynCaps) 19 Copyright (c) 2008 Syntagm Ltd
  • 20. Quality of Fit In Computer-Aided Paper Sorting (Caps), each item can be marked with a quality of fit to its group The fit is averaged across items and participants Average participant fit can reveal extremes 20 Copyright (c) 2008 Syntagm Ltd
  • 21. SynCaps Participant File Groups Items Pairs AveSize %AveAlign %ExpertAlign 21 50 59 2.4 80% 73% 10 50 190 5 63% 59% 13 50 95 3.8 78% 69% 15 50 106 3.3 76% 67% 5 50 310 10 59% 50% 7 50 302 7.1 60% 52% 12 50 145 4.2 71% 65% AveAlign shows agreement between participants 21 Copyright (c) 2008 Syntagm Ltd
  • 22. Participant Scattergram (Excel) %AveAlign by Group Count 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 0 5 10 15 20 25 22 Copyright (c) 2008 Syntagm Ltd
  • 23. Pairs Maps (SynCaps V2) All Participants Participants with More than 10 Groups 23 Copyright (c) 2008 Syntagm Ltd
  • 24. Pairs Map Reminder Ideal Results Deviant Results 24 Copyright (c) 2008 Syntagm Ltd
  • 25. Deviants (200 Participants) %AveAlign 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Participants who may have been ‘in it to win it’ 25 Copyright (c) 2008 Syntagm Ltd
  • 26. Navigational Alignment The SynCaps participants file includes two measures of alignment: Average alignment: how similar each participant is relative to the average across all participants Expert alignment: how similar each participant is relative to an ‘expert’ result When the ‘expert’ result is the current information architecture, we call the measure ‘navigational alignment’ 26 Copyright (c) 2008 Syntagm Ltd
  • 27. Navigational Alignment The pairs maps (SynCaps V2) is adjusted to shown the ‘expert’ results set as follows: Participant ‘Expert’ 27 Copyright (c) 2008 Syntagm Ltd
  • 28. Navigational Alignment Travel group Expenses group Travel Expenses 28 Copyright (c) 2008 Syntagm Ltd
  • 29. SynCaps V1 Data & processing Bar code or keyboard data entry Simple file format EZSort / EZCalc data supported Output files Cards, items, participants, proximity matrices (weighted and unweighted) Chart Dendrogram 29 Copyright (c) 2008 Syntagm Ltd
  • 30. New to SynCaps V2 Data capture & processing Ad hoc items Collapse items or groups Duplicate items Charts Pairs map (with ‘expert’ markers) Items x groups Multi-page printing 30 Copyright (c) 2008 Syntagm Ltd
  • 31. Items x Groups 31 Copyright (c) 2008 Syntagm Ltd
  • 32. Workshops Advances in Card Sorting (Workshop) London, 12 May 2008 Edinburgh, 28 May 2008 Attendees will receive a fully licensed copy of SynCaps V2 www.csadvances.com www.syntagm.co.uk (design courses) 32 Copyright (c) 2008 Syntagm Ltd