Graphology

About: Graphology is a(n) research topic. Over the lifetime, 214 publication(s) have been published within this topic receiving 2492 citation(s).

Fairness reactions to personnel selection techniques in France and the United States

Abstract: The authors examined the bases for fairness reactions to different selection practices and considered cross-cultural differences in these reactions by comparing respondents from 2 cultures. College students (Ar = 259) from France and the United States rated the favorability of 10 selection procedures and then indicated the bases for these reactions on 7 procedural dimensions. Selection decisions based on interviews, work-sample tests, and resumes were perceived favorably in both cultures. Graphology was perceived more favorably in France than in the United States, but even French reactions toward graphology were somewhat negative. The perceived face validity of the selection procedure was the strongest correlate of favorability reactions among both samples. Beyond comparing the results from each culture, the discussion addresses implications for multinational companies establishing selection systems in foreign countries.

Handwriting Identification: Facts and Fundamentals

Abstract: Introduction: The World of Documents The History of Questioned Document Examination -In Brief A Handwriting Compendium for Document Examiners The Discrimination of Handwriting The Premises for the Identification of Handwriting The Fundamentals of the Identification Process The Discrimination and Identification of Writing Special Problems in the Discrimination and Identification of Writing The Extrinsical Factors Influencing Handwriting The Intrinsical Influences upon Handwriting The Requirements and the Results The Diagnosis of Writing Identification The Scope of Document Examination The Sources of Document Examiners Science, Scientific Method and Writing Identification Graphology Understanding the Terms-Glossary Epilogue

The predictive validity of graphological inferences: A meta-analytic approach

Abstract: The use of graphology as a device for personnel selection is prevalent and increasing. This study attempts to examine the validity of graphology in this particular applied field by means of meta-analysis—a method of integrating research findings across studies. Seventeen studies dealing with the validity of graphology as a personnel selection device were tracked down. A total of 63 graphologists and 51 nongraphologists who evaluated 1223 scripts were included in the data set. The group of non-graphologists served as a control group to establish a base line for the predictive validity that could be obtained on the basis of the script's content without the benefit of any graphological knowledge. Representative correlations between handwritten—based inferences and criteria were calculated for each judge in each study, and correction for sampling error was performed. It was found that correlations between inferences based on content-laden scripts and a general criterion range from 0.136 to 0.206 for all judges (graphologists, psychologists, laymen) and 0.153 – 0.177 for graphologists. In the few cases where neutral scripts were used the validities of the graphologists were near zero. In addition it was found that psychologists (with no knowledge in graphology) outperformed graphologists on all dimensions. The results were discussed, suggesting that the source of the limited validity of handwriting analysis may be the script's content.

The graphology applied to signature verification

Abstract: In this paper we discuss automatic signature verification in the context of the graphology. Graphology is claimed to be useful for everything from understanding health issues, morality and past experiences to hidden talents, and mental problems. It is not restricted to this, though. Forensic document examiners use the concepts of graphology to examine handwriting in order to detect authenticity or forgery. In this work, we describe some of the main features of the graphology and propose a set of features to automatic signature verification. They are evaluated in a database of 5,600 signatures using hidden Markov models.