Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.4781  0.0049  0.0546  0.0545  0.0866  0.06
Anderszewski 2003   37  0.544  0.045  0.0714  0.3815  0.4613  0.42
Ashkenazy 1981   33  0.5514  0.0224  0.0721  0.3322  0.3422  0.33
Bacha 2000   84  0.2170  0.0077  0.0387  0.0342  0.1165  0.06
Badura 1965   24  0.5738  0.0042  0.0540  0.1427  0.3139  0.21
Barbosa 1983   50  0.4776  0.0061  0.0547  0.0562  0.0473  0.04
Biret 1990   68  0.3772  0.0064  0.0370  0.0357  0.0488  0.03
Blet 2003   47  0.4864  0.0053  0.0454  0.0449  0.0574  0.04
Block 1995   38  0.5328  0.0133  0.0533  0.198  0.3830  0.27
Blumental 1952   78  0.2511  0.0283  0.0379  0.0350  0.0486  0.03
Boshniakovich 1969   40  0.5337  0.0034  0.0537  0.1613  0.3736  0.24
Brailowsky 1960   34  0.5566  0.0050  0.0552  0.0526  0.2845  0.12
Bunin 1987   5  0.6435  0.0012  0.075  0.458  0.496  0.47
Bunin 1987b   6  0.6432  0.0013  0.114  0.468  0.495  0.47
Chiu 1999   43  0.5062  0.0071  0.0383  0.0346  0.0672  0.04
Cohen 1997   81  0.2443  0.0084  0.0364  0.0352  0.0487  0.03
Cortot 1951   67  0.3752  0.0074  0.0462  0.0461  0.0577  0.04
Csalog 1996   87  0.0985  0.0087  0.0385  0.0373  0.0384  0.03
Czerny 1949   36  0.5557  0.0044  0.0543  0.1036  0.2044  0.14
Czerny 1990   23  0.5763  0.0029  0.0522  0.3222  0.2827  0.30
Duchoud 2007   60  0.4286  0.0055  0.0550  0.0546  0.0670  0.05
Ezaki 2006   4  0.6625  0.0115  0.0712  0.4021  0.3020  0.35
Falvay 1989   15  0.6055  0.0026  0.0527  0.2827  0.2531  0.26
Farrell 1958   72  0.3680  0.0070  0.0369  0.0324  0.2357  0.08
Ferenczy 1958   74  0.3567  0.0078  0.0378  0.0343  0.1069  0.05
Fliere 1977   17  0.5958  0.0023  0.0618  0.3425  0.2428  0.29
Fou 1978   28  0.5619  0.0127  0.0529  0.2524  0.3625  0.30
Francois 1956   39  0.5347  0.0031  0.0634  0.1728  0.2041  0.18
Friedman 1923   86  0.1254  0.0086  0.0371  0.0349  0.0771  0.05
Friedman 1923b   85  0.1260  0.0085  0.0380  0.0364  0.0576  0.04
Friedman 1930   62  0.4133  0.0069  0.0386  0.0334  0.1861  0.07
Garcia 2007   69  0.3730  0.0166  0.0375  0.037  0.4747  0.12
Garcia 2007b   76  0.3259  0.0082  0.0384  0.0327  0.1664  0.07
Gierzod 1998   46  0.4890  0.0048  0.0549  0.0527  0.2151  0.10
Gornostaeva 1994   29  0.5636  0.0030  0.0630  0.2424  0.2833  0.26
Groot 1988   21  0.5724  0.0114  0.1117  0.3416  0.4018  0.37
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   80  0.2421  0.0158  0.0372  0.0332  0.1763  0.07
Hatto 1997   77  0.2683  0.0057  0.0453  0.0432  0.1659  0.08
Horowitz 1949   41  0.5242  0.0038  0.0538  0.1514  0.3537  0.23
Indjic 1988   82  0.2334  0.0059  0.0548  0.0535  0.1552  0.09
Kapell 1951   51  0.4720  0.0147  0.0458  0.0428  0.3546  0.12
Kissin 1993   25  0.5726  0.0132  0.0531  0.2227  0.2538  0.23
Kushner 1989   35  0.5516  0.0118  0.0819  0.3328  0.2826  0.30
Luisada 1991   44  0.5031  0.0054  0.0457  0.0438  0.1554  0.08
Lushtak 2004   7  0.6453  0.0016  0.083  0.4613  0.468  0.46
Malcuzynski 1961   10  0.632  0.122  0.212  0.565  0.571  0.56
Magaloff 1978   19  0.5873  0.006  0.0715  0.3821  0.3717  0.37
Magin 1975   27  0.5639  0.0021  0.0626  0.289  0.3723  0.32
Michalowski 1933   59  0.4371  0.0056  0.0463  0.0444  0.1160  0.07
Milkina 1970   58  0.4444  0.0046  0.0455  0.0430  0.2549  0.10
Mohovich 1999   13  0.6113  0.023  0.086  0.4510  0.4611  0.45
Moravec 1969   66  0.3745  0.0075  0.0374  0.0369  0.0379  0.03
Morozova 2008   22  0.5761  0.0043  0.0544  0.1044  0.1050  0.10
Neighaus 1950   14  0.6041  0.0010  0.1310  0.4413  0.499  0.46
Niedzielski 1931   83  0.2150  0.0076  0.0382  0.0330  0.1955  0.08
Ohlsson 1999   64  0.409  0.0365  0.0373  0.0347  0.0768  0.05
Osinska 1989   54  0.4651  0.0072  0.0366  0.0370  0.0481  0.03
Pachmann 1927   65  0.3974  0.0060  0.0461  0.0425  0.3248  0.11
Paderewski 1930   61  0.4246  0.0073  0.0365  0.0346  0.0767  0.05
Perlemuter 1992   2  0.737  0.038  0.0911  0.425  0.544  0.48
Pierdomenico 2008   8  0.6327  0.0125  0.0528  0.2713  0.3624  0.31
Poblocka 1999   73  0.3629  0.0167  0.0376  0.0375  0.0382  0.03
Rabcewiczowa 1932   55  0.4648  0.0062  0.0460  0.0433  0.1756  0.08
Rachmaninoff 1923   18  0.5877  0.0020  0.0825  0.2810  0.3921  0.33
Rangell 2001   63  0.4140  0.0052  0.0551  0.0545  0.1062  0.07
Richter 1976   12  0.628  0.0311  0.0913  0.402  0.5010  0.45
Rosen 1989   49  0.4768  0.0051  0.0456  0.0440  0.1953  0.09
Rosenthal 1930   56  0.4610  0.0240  0.0635  0.1619  0.4232  0.26
Rosenthal 1931   32  0.5569  0.0028  0.0524  0.297  0.5016  0.38
Rosenthal 1931b   45  0.4982  0.0035  0.0432  0.199  0.4429  0.29
Rosenthal 1931c   57  0.456  0.0341  0.0736  0.1617  0.3834  0.25
Rosenthal 1931d   53  0.4688  0.0045  0.0445  0.0715  0.3643  0.16
Rossi 2007   30  0.5512  0.0236  0.0441  0.126  0.3240  0.20
Rubinstein 1939   88  0.0349  0.0088  0.0288  0.0266  0.0483  0.03
Rubinstein 1952   75  0.3318  0.0181  0.0367  0.0357  0.0578  0.04
Rubinstein 1966   79  0.2565  0.0079  0.0377  0.0354  0.0575  0.04
Schilhawsky 1960   11  0.6256  0.0022  0.0716  0.3711  0.4115  0.39
Shebanova 2002   71  0.3687  0.0080  0.0381  0.0363  0.0485  0.03
Smith 1975   1  0.745  0.037  0.097  0.447  0.3714  0.40
Sokolov 2002   20  0.5822  0.0117  0.089  0.446  0.497  0.46
Sztompka 1959   52  0.4778  0.0063  0.0459  0.0437  0.1758  0.08
Tomsic 1995   9  0.6315  0.029  0.118  0.447  0.543  0.49
Uninsky 1932   26  0.5623  0.0137  0.0439  0.1419  0.4235  0.24
Uninsky 1971   31  0.553  0.074  0.0720  0.334  0.5312  0.42
Wasowski 1980   70  0.3617  0.0168  0.0368  0.0357  0.0480  0.03
Zak 1937   42  0.5089  0.0039  0.0542  0.1028  0.2642  0.16
Zak 1951   16  0.6075  0.0019  0.0723  0.3217  0.4019  0.36
Average   3  0.671  0.251  0.251  0.618  0.502  0.55
Random 1   89  -0.1184  0.0091  0.0191  0.0159  0.0489  0.02
Random 2   91  -0.1891  0.0090  0.0190  0.0183  0.0291  0.01
Random 3   90  -0.1279  0.0089  0.0189  0.0169  0.0390  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).