Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.855  0.026  0.175  0.548  0.4912  0.51
Anderszewski 2003   25  0.7544  0.0042  0.0536  0.179  0.3939  0.26
Ashkenazy 1981   14  0.7912  0.0111  0.099  0.493  0.617  0.55
Bacha 2000   59  0.6684  0.0063  0.0747  0.0720  0.2856  0.14
Badura 1965   45  0.7130  0.0054  0.0565  0.0510  0.5450  0.16
Barbosa 1983   82  0.4769  0.0071  0.0472  0.0442  0.1076  0.06
Biret 1990   33  0.7331  0.0044  0.0638  0.1612  0.4737  0.27
Blet 2003   56  0.6746  0.0058  0.0653  0.0612  0.3854  0.15
Block 1995   61  0.6362  0.0038  0.0545  0.116  0.4342  0.22
Blumental 1952   66  0.6129  0.0049  0.0559  0.0519  0.2169  0.10
Boshniakovich 1969   16  0.7776  0.0021  0.1118  0.403  0.5814  0.48
Brailowsky 1960   60  0.6453  0.0070  0.0470  0.0442  0.1274  0.07
Bunin 1987   80  0.4879  0.0074  0.0378  0.0334  0.2473  0.08
Bunin 1987b   83  0.4765  0.0073  0.0476  0.0433  0.2466  0.10
Chiu 1999   71  0.5952  0.0067  0.0652  0.0647  0.0577  0.05
Cohen 1997   88  0.3677  0.0088  0.0475  0.0455  0.0480  0.04
Cortot 1951   44  0.7137  0.0050  0.0750  0.077  0.5146  0.19
Csalog 1996   86  0.4163  0.0072  0.0386  0.0360  0.0487  0.03
Czerny 1949   11  0.803  0.068  0.1713  0.4313  0.5217  0.47
Czerny 1990   24  0.757  0.0231  0.0633  0.2414  0.3835  0.30
Duchoud 2007   57  0.6642  0.0048  0.0562  0.056  0.4855  0.15
Ezaki 2006   35  0.7289  0.0057  0.0556  0.0532  0.2265  0.10
Falvay 1989   85  0.4655  0.0087  0.0377  0.0369  0.0485  0.03
Farrell 1958   42  0.726  0.0227  0.0537  0.178  0.5234  0.30
Ferenczy 1958   65  0.6170  0.0066  0.0558  0.0528  0.2464  0.11
Fliere 1977   5  0.8411  0.015  0.156  0.534  0.538  0.53
Fou 1978   15  0.7826  0.0017  0.1021  0.403  0.5713  0.48
Francois 1956   37  0.7233  0.0041  0.0543  0.136  0.5538  0.27
Friedman 1923   38  0.7266  0.0056  0.0473  0.0428  0.4062  0.13
Friedman 1923b   39  0.7273  0.0053  0.0567  0.0528  0.4158  0.14
Friedman 1930   41  0.7264  0.0059  0.0748  0.0725  0.4149  0.17
Garcia 2007   9  0.8236  0.0012  0.0917  0.413  0.6510  0.52
Garcia 2007b   7  0.8328  0.007  0.187  0.532  0.693  0.60
Gierzod 1998   6  0.8416  0.013  0.163  0.576  0.584  0.57
Gornostaeva 1994   34  0.7321  0.0139  0.0542  0.147  0.4541  0.25
Groot 1988   62  0.6315  0.0160  0.0651  0.0628  0.3160  0.14
Harasiewicz 1955   18  0.7735  0.0019  0.0915  0.4113  0.4322  0.42
Hatto 1993   54  0.6985  0.0037  0.0835  0.2219  0.3736  0.29
Hatto 1997   51  0.7190  0.0035  0.0532  0.2515  0.4233  0.32
Horowitz 1949   43  0.7174  0.0055  0.0566  0.0523  0.4552  0.15
Indjic 1988   48  0.7186  0.0036  0.0931  0.2516  0.4232  0.32
Kapell 1951   47  0.7125  0.019  0.1511  0.447  0.4121  0.42
Kissin 1993   12  0.7910  0.0114  0.1010  0.495  0.559  0.52
Kushner 1989   10  0.8114  0.0113  0.108  0.503  0.606  0.55
Luisada 1991   29  0.7457  0.0040  0.0540  0.1626  0.2543  0.20
Lushtak 2004   58  0.6640  0.0061  0.0560  0.0529  0.2068  0.10
Malcuzynski 1961   67  0.6017  0.0168  0.0555  0.0520  0.2863  0.12
Magaloff 1978   63  0.6267  0.0069  0.0557  0.0548  0.0875  0.06
Magin 1975   21  0.7727  0.0015  0.0916  0.417  0.5416  0.47
Michalowski 1933   19  0.7745  0.0024  0.0824  0.321  0.6219  0.45
Milkina 1970   17  0.7723  0.0130  0.0630  0.2615  0.4531  0.34
Mohovich 1999   31  0.7454  0.0046  0.0749  0.0714  0.4847  0.18
Moravec 1969   81  0.4847  0.0084  0.0288  0.0256  0.0583  0.03
Morozova 2008   27  0.7443  0.0029  0.0628  0.309  0.4825  0.38
Neighaus 1950   3  0.8618  0.014  0.184  0.564  0.585  0.57
Niedzielski 1931   49  0.7148  0.0032  0.0634  0.2311  0.5030  0.34
Ohlsson 1999   8  0.8219  0.0110  0.1312  0.445  0.6011  0.51
Osinska 1989   13  0.799  0.0118  0.0919  0.408  0.5615  0.47
Pachmann 1927   68  0.6075  0.0078  0.0568  0.0530  0.2267  0.10
Paderewski 1930   55  0.6951  0.0062  0.0846  0.088  0.4545  0.19
Perlemuter 1992   30  0.7420  0.0133  0.0929  0.2810  0.4628  0.36
Pierdomenico 2008   69  0.6041  0.0051  0.0469  0.0410  0.4561  0.13
Poblocka 1999   28  0.7456  0.0020  0.1014  0.4113  0.4820  0.44
Rabcewiczowa 1932   40  0.7222  0.0134  0.0641  0.158  0.4240  0.25
Rachmaninoff 1923   22  0.7713  0.0128  0.0723  0.3212  0.3829  0.35
Rangell 2001   72  0.5724  0.0164  0.0471  0.044  0.5159  0.14
Richter 1976   64  0.628  0.0265  0.0561  0.0526  0.4353  0.15
Rosen 1989   20  0.7780  0.0026  0.0627  0.3115  0.4327  0.37
Rosenthal 1930   74  0.5660  0.0077  0.0474  0.0428  0.1872  0.08
Rosenthal 1931   76  0.5432  0.0079  0.0382  0.0332  0.2171  0.08
Rosenthal 1931b   75  0.5472  0.0080  0.0564  0.0532  0.1870  0.09
Rosenthal 1931c   79  0.5061  0.0082  0.0384  0.0346  0.0581  0.04
Rosenthal 1931d   77  0.5258  0.0081  0.0380  0.0345  0.0979  0.05
Rossi 2007   78  0.5259  0.0083  0.0287  0.0251  0.0684  0.03
Rubinstein 1939   73  0.5634  0.0076  0.0381  0.0368  0.0486  0.03
Rubinstein 1952   87  0.4138  0.0085  0.0385  0.0360  0.0582  0.04
Rubinstein 1966   70  0.5981  0.0075  0.0383  0.0374  0.0488  0.03
Schilhawsky 1960   32  0.7339  0.0025  0.0626  0.3218  0.4724  0.39
Shebanova 2002   2  0.862  0.142  0.372  0.625  0.602  0.61
Smith 1975   46  0.7187  0.0052  0.0563  0.0510  0.4057  0.14
Sokolov 2002   53  0.694  0.0347  0.0654  0.0610  0.3951  0.15
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   84  0.4649  0.0086  0.0379  0.0349  0.0878  0.05
Uninsky 1932   23  0.7771  0.0016  0.0920  0.407  0.5218  0.46
Uninsky 1971   52  0.7050  0.0022  0.0825  0.3219  0.4226  0.37
Wasowski 1980   26  0.7568  0.0023  0.0822  0.337  0.4823  0.40
Zak 1937   36  0.7278  0.0043  0.0739  0.1626  0.2344  0.19
Zak 1951   50  0.7188  0.0045  0.0744  0.1330  0.2148  0.17
Average   1  0.901  0.481  0.471  0.734  0.621  0.67
Random 1   91  -0.2691  0.0091  0.0191  0.0166  0.0390  0.02
Random 2   89  -0.1082  0.0089  0.0189  0.0174  0.0389  0.02
Random 3   90  -0.1883  0.0090  0.0190  0.0163  0.0491  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).