TY - JOUR
T1 - Can Graphology Predict Occupational Success? Two Empirical Studies and Some Methodological Ruminations
AU - Ben-Shakhar, Gershon
AU - Bar-Hillel, Maya
AU - Bilu, Yoram
AU - Ben-Abba, Edor
AU - Flug, Anat
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 1986/11
Y1 - 1986/11
N2 - Two empirical studies for testing the validity of graphological predictions are reported. In the first, the graphologists rated bank employees on several job relevant traits, based on handwritten biographies. The scripts were also rated on the same traits by a clinical psychologist with no knowledge of graphology. The criterion was the ratings on the same traits by the employees' supervisors. The graphologists' and the clinician's correlations with the criterion were typically between 0.2 and 0.3. To test whether these validities might be attributable to the scripts' content, we developed a third method of prediction. The information in the texts (e.g., education) was systematically extracted and combined in a linear model. This model outperformed the human judges. In the second study, graphologists were asked only to judge the profession, out of 8 possibilities, of 40 successful professionals. This was done on the basis of rich (e.g., containing numbers and Latin script as well as Hebrew text), though uniform, scripts. The graphologists did not perform significantly better than a chance model.
AB - Two empirical studies for testing the validity of graphological predictions are reported. In the first, the graphologists rated bank employees on several job relevant traits, based on handwritten biographies. The scripts were also rated on the same traits by a clinical psychologist with no knowledge of graphology. The criterion was the ratings on the same traits by the employees' supervisors. The graphologists' and the clinician's correlations with the criterion were typically between 0.2 and 0.3. To test whether these validities might be attributable to the scripts' content, we developed a third method of prediction. The information in the texts (e.g., education) was systematically extracted and combined in a linear model. This model outperformed the human judges. In the second study, graphologists were asked only to judge the profession, out of 8 possibilities, of 40 successful professionals. This was done on the basis of rich (e.g., containing numbers and Latin script as well as Hebrew text), though uniform, scripts. The graphologists did not perform significantly better than a chance model.
UR - http://www.scopus.com/inward/record.url?scp=0039298810&partnerID=8YFLogxK
U2 - 10.1037/0021-9010.71.4.645
DO - 10.1037/0021-9010.71.4.645
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AN - SCOPUS:0039298810
SN - 0021-9010
VL - 71
SP - 645
EP - 653
JO - Journal of Applied Psychology
JF - Journal of Applied Psychology
IS - 4
ER -