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. Author manuscript; available in PMC: 2010 Jun 11.
Published in final edited form as: J Exp Psychol Learn Mem Cogn. 2008 May;34(3):602–615. doi: 10.1037/0278-7393.34.3.602

Table 1.

Error Measures Used

Error name Error calculation Error description
Raw error eRij = dIij – dAij Response error for object i, turn j, relative to actual target direction (dA) on a circular scale (dI = indicated target direction)
Linear error eLij = eRij ± 360° Raw error (eR) adjusted to be within 180° of a particular reference direction (e.g., 0°, eLij – 1)
Heading error eHj=arc tan(isineRj)4(icoseRj)4 a Mean (using circular statistics) raw error (eR) for all 4 objects for a particular turn (j)
Deviation error eDij = eRijeHj Raw error (eR), for object i adjusted by mean eR for all 4 objects on corresponding turn (j)
Adjusted linear error eALij = eLijeLij–1 Linear error (eL) for object i on turn j adjusted by eL for object i on turn j – 1
Adjusted linear deviation error eALDij=eALijieALj4 Adjusted linear error (eAL) for object i adjusted by mean eAL for all objects on corresponding turn
Angular separation error eASi1,i2j=eALi1jeALi2j Absoluteb error in angular separation between a given pair of objects (i1, i2) on a given turn (j)
Position error ePi1,i2j=eALi1j+eALi2j Absolute sum of adjusted linear error for a given pair of objects (i1, i2) on a given turn (j)
a

If (icoseRj4)<0, then eHj = eHj + 180.

b

Absolute differences and sums were used so that the error scores could be aggregated within and across participants without positive and negative errors canceling each other out. Transforming the differences and sums in this way also rendered irrelevant the issue concerning which way around the circle angular separation was measured.