HAND ANALYSIS FOR DIAGNOSING NEUROTICISM DIMENSIONS
Saanjdya Panicker , Department of Palmistry, Viswa Jyotish Vidyapith Kolkata, India Bharathiya Jyothisha Padana Kendram, Kerala, IndiaAbstract
This study investigates the feasibility of hand analysis for diagnosing neuroticism dimensions. Neuroticism, a personality trait characterized by emotional instability, anxiety, and susceptibility to stress, can have significant impacts on individuals' mental health and well-being. The study examines the relationship between certain hand features and neuroticism dimensions, aiming to develop a diagnostic tool for identifying neurotic tendencies based on hand analysis. Key hand features such as finger length ratios, palm size, and ridge patterns are analyzed in relation to neuroticism dimensions. Through empirical research and data analysis, the study assesses the accuracy and reliability of hand analysis as a diagnostic method for neuroticism dimensions. The findings offer insights into the potential use of hand analysis in psychological assessment and highlight its implications for understanding neuroticism traits.
Keywords
Neuroticism, Hand analysis, Personality traits
References
Benham, William G., the Laws of Scientific Hand Reading, ©1900
Charles Midlo & Harold Cummins, Palmar and Plantar Dermatoglyphics in Primates, 1942
Charles Midlo & Harold Cummins, Finger Prints, Palms and Soles, 1943
Dylan Warren-Davis, Hand Reveals
Eugene Scheimann, M.D., the Doctors's Guide to Better Health through Palmistry, Parker Publishing, 1969
Fred Gettings, the Book of the Hand
Fred Gettings, Palmistry made easy
Harris Hawthorne Wilder, Palm and Sole Studies
https://en.wikipedia.org/wiki/Neuroticism
Nathaniel Altman, Sexual Palmistry
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