Standardization Within Individuals: A Simple Method to Neutralize Individual Differences in Skin Conductance
Abstract
The present paper suggests a method to neutralize individual differences in skin conductance responsivity. The method suggested is a standardization of the responses within individuals. This method was compared to the range correction transformation suggested previously. The comparison was based on data from two experiments which evaluated differences between electrodermal responses to relevant and neutral stimuli in information detection tasks. In the first experiment the range correction transformation used the maximal skin conductance response evoked by the subject to one of the regular stimuli presented in the information detection task. The second experiment included responses to unpleasant tones and the range correction transformation was defined as the skin conductance response evoked by the subject to a given stimulus, divided by the response to the unpleasant stimulus. A bootstrap analysis was carried out on five data sets gathered from the two experiments, to statistically compare the transformations. In all cases standard scores better discriminated relevant and neutral stimuli, than range corrected scores. The advantage of standardization was much more salient in the second experiment, where only standard scores produced a statistically significant difference between strong and weak experimental conditions. The analysis demonstrated that the advantage of the method of standard scores is related mainly to its reliance upon the mean, which is a more stable and reliable statistic than the maximal response.
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SCR magnitudes were square root transformed and z-scored within-subjects to control for interindividual differences in skin conductance responsiveness.
“SCR magnitudes were square root transformed to reduce skew and z-scored within-subjects to control for interindividual differences in skin conductance responsiveness (Ben-Shakhar, 1985).”
From The Impact of Intolerance of Uncertainty and Cognitive Behavioural Instructions on Safety Learning (2020) · cites this paper as Ben-Shakhar, 1985
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Extracting Concealed Information from Groups*
Meijer, E. H., Smulders, F. T. Y., & Merckelbach, H. L. G. J. (2010) · Journal of Forensic Sciences · doi:10.1111/j.1556-4029.2010.01474.x · Cited by 28 · see citing works
Dopamine-induced changes in neural network patterns supporting aversive conditioning
Diaconescu, A. O., Menon, M., Jensen, J., Kapur, S., & McIntosh, A. R. (2009) · Brain Research · doi:10.1016/j.brainres.2009.11.064 · Cited by 28 · see citing works
The validity of finger pulse line length for the detection of concealed information
Vandenbosch, K., Verschuère, B., Crombez, G., & Clercq, A. D. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.07.015 · Cited by 28 · see citing works
Improved method for calculating the respiratory line length in the Concealed Information Test
Matsuda, I., & Ogawa, T. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.06.002 · Cited by 28 · see citing works
Dymshitz, J., & Lieblich, I. (1987) · Psychopharmacology · doi:10.1007/bf00176481 · Cited by 28 · see citing works
On the Need of New Methods to Mine Electrodermal Activity in Emotion-Centered Studies
Henriques, R., Paiva, A., & Antunes, C. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-36288-0_18 · Cited by 27 · see citing works
Are you as good as me at telling a story? Individual differences in interpersonal reality monitoring
Nahari, G., & Vrij, A. (2013) · Psychology Crime and Law · doi:10.1080/1068316x.2013.793771 · Cited by 26 · see citing works
Morriss, J., Biagi, N., & Dodd, H. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.07.009 · Cited by 18 · see citing works
- Authors
- Ben‐Shakhar, G.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Corresponding author
- Ben‐Shakhar, Gershon
- ORCID
- Ben‐Shakhar, Gershon
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 1985-05
- Volume
- 22
- Issue
- 3
- Pages
- 292-299
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W2045186928
- Cited by
- 249
- References
- 19
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 9 · 2023: 6 · 2022: 13 · 2021: 12 · 2020: 18 · 2019: 21 · 2018: 12 · 2017: 13 · 2016: 8 · 2015: 7 · 2014: 9 · 2013: 9 · 2012: 7
- FWCI
- 2.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Keywords
- skin conductance, electrodermal activity, individual differences, Z-score, information detection
- MeSH terms
- Adolescent, Child, Galvanic Skin Response, Humans, Individuality
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