Next Article in Journal
Measuring Biases of Visual Attention: A Comparison of Four Tasks
Next Article in Special Issue
Migration and Adaptation as Indicators of Social Mobility Migrants
Previous Article in Journal
Postnatal Acetaminophen and Potential Risk of Autism Spectrum Disorder among Males
Previous Article in Special Issue
Motivational Conflicts and the Psychological Structure of Perfectionism in Patients with Anxiety Disorders and Patients with Essential Hypertension
Open AccessArticle

Formalized Computer-Aided Handwriting Psychology: Validation and Integration into Psychological Assessment

1
IHS Institute for Handwriting Sciences, 8046 Zurich, Switzerland
2
Hochschule für Philosophie, 80539 Munich, Germany
*
Author to whom correspondence should be addressed.
Behav. Sci. 2020, 10(1), 27; https://doi.org/10.3390/bs10010027
Received: 23 October 2019 / Revised: 22 December 2019 / Accepted: 30 December 2019 / Published: 3 January 2020
(This article belongs to the Special Issue XVI European Congress of Psychology)
In contrast to traditional researches that involve a manual, non-quantitative, and subjective way of performing handwriting analysis, in the current research, a special computer-aided method of revised handwriting analysis is used. It includes the detection of personality traits via manual quantitative registration of handwriting signs and their automated quantitative evaluation. This method is based on a mathematical–statistical model that integrates multiple international publications on the evaluation of handwriting signs. The first aim is the validation of the revised method against the 16 Personality Factor Questionnaire Revised (16PF-R), which is performed as a self-report personality test by test persons and was developed and researched empirically by Raymond B. Cattell et al. A second aim is the development of an integrated model for assessment including handwriting analysis: when both methods come to the same result on a certain scale, then the construct can be accepted with higher reliability; in contrast, when results are contradictory, they should be regarded as a limitation of each method and raise awareness in the researchers, as these contradictions are a precious source of additional information regarding the complexity, ambiguity, and context specificity of personality traits. View Full-Text
Keywords: computer-aided handwriting analysis; handwriting psychology; 16PF-R personality assessment; personality traits; validation study; multi-factor psychometric instruments; integration of personality assessment methods computer-aided handwriting analysis; handwriting psychology; 16PF-R personality assessment; personality traits; validation study; multi-factor psychometric instruments; integration of personality assessment methods
Show Figures

Figure 1

MDPI and ACS Style

Chernov, Y.; Caspers, C. Formalized Computer-Aided Handwriting Psychology: Validation and Integration into Psychological Assessment. Behav. Sci. 2020, 10, 27.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop