Description

Distances between constructs are used as a measure of similarity. They have the disadvantage that they are not invariant to construct reflection. The following distance measures are available:

For most grid purposes, the first two options will suffice.

R-Code

In OpenRepGrid the function distance calculates various types of distances for constructs and for elements (the default is euclidean). The argument along determines if distances for 1) constructs or 2) elements are calculated. The default is to calculate distances for constructs:

distance(fbb2003)

############################
Distances between constructs
############################

Distance method:  euclidean 

                                  1     2     3     4     5     6     7     8     9
(1) clever - not bright     1       10.39  2.45  9.54  3.74  6.78  2.83  8.19  7.68
(2) disorganiz - organized  2              9.38  4.58  8.49  7.07  9.27  7.14  8.54
(3) listens - doesn't he    3                    8.89  2.45  7.21  3.46  8.43  8.43
(4) no clear v - clear view 4                          7.81  7.42  8.31  7.35  7.62
(5) understand - no underst 5                                7.07  4.00  7.28  7.28
(6) ambitious - no ambitio  6                                      6.32  5.57  6.56
(7) respected - not respec  7                                            7.94  6.71
(8) distant - warm          8                                                  5.10
(9) rather agg - not aggres 9                                                      

Distance for elements:

distance(fbb2003, along=2)

##########################
Distances between elements
##########################

Distance method:  euclidean 

                               1     2     3     4     5     6     7     8
(1) self                 1        4.47  8.19  3.87  7.75  9.80  6.78  8.89
(2) my father            2             10.15  4.36  8.83 11.22  4.00  9.33
(3) an old flame         3                    7.48  6.56  7.42 10.05  5.48
(4) an ethical person    4                          6.24  9.11  6.24  6.93
(5) my mother            5                                9.06  8.83  4.36
(6) a rejected teacher   6                                     12.65  8.19
(7) as I would love to b 7                                            8.77
(8) a pitied person      8                                                

To change the distance measure supply any unambigous string of the available distance methods to the argument dmethod. E.g. for the manhattan distance bewteen constructs:

distance(fbb2003, dmethod="manhattan")

############################
Distances between constructs
############################

Distance method:  manhattan 

                                  1     2     3     4     5     6     7     8     9
(1) clever - not bright     1       28.00  4.00 23.00  8.00 16.00  6.00 15.00 17.00
(2) disorganiz - organized  2             24.00 11.00 22.00 16.00 24.00 19.00 19.00
(3) listens - doesn't he    3                   19.00  6.00 18.00  8.00 17.00 21.00
(4) no clear v - clear view 4                         19.00 19.00 19.00 18.00 18.00
(5) understand - no underst 5                               16.00  8.00 15.00 19.00
(6) ambitious - no ambitio  6                                     16.00 13.00 15.00
(7) respected - not respec  7                                           17.00 15.00
(8) distant - warm          8                                                 10.00
(9) rather agg - not aggres 9                                                      

For other distance metrics:

distance(fbb2003, dm="canb")            # canberra distance for constructs
distance(fbb2003, dm="mink", p=3)       # minkowski metric to the power of 3  for constructs

If the distances are calculated for further processing, the printing to the console can be surpressed distance and the results can be saved into an object (here d).

d <- distance(fbb2003)

The object is a matrix. So we can look at the distances for the first construct only by

d[1, ]
    (1) clever - not bright  (2) disorganiz - organized    (3) listens - doesn't he (4) no clear v - clear view 
                   0.000000                   10.392305                    2.449490                    9.539392 
(5) understand - no underst  (6) ambitious - no ambitio  (7) respected - not respec          (8) distant - warm 
                   3.741657                    6.782330                    2.828427                    8.185353 
(9) rather agg - not aggres 
                   7.681146 

Lack of invariance to construct reflection

Note that when you inverse a construct the distance measure will change. Reversing the frist consstruct of fbb2003 will yield different values than before.

x <- swapPoles(fbb2003, 1)
d <- distance(x)
d[1, ]
    (1) not bright - clever  (2) disorganiz - organized    (3) listens - doesn't he (4) no clear v - clear view 
                   0.000000                    3.464102                   11.747340                    4.795832 
(5) understand - no underst  (6) ambitious - no ambitio  (7) respected - not respec          (8) distant - warm 
                  10.677078                    8.124038                   10.954451                    7.937254 
(9) rather agg - not aggres 
                   8.426150 

Make sure you are aware of this fact when using distance measures and constructs.

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