Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-20T06:59:31.089Z Has data issue: false hasContentIssue false
  • English
  • Français

Spanish Validation of the Affective Neuroscience Personality Scales

Published online by Cambridge University Press:  10 January 2013

Víctor Abella ,
Jaak Panksepp ,
Dionisio Manga ,
Carmen Bárcena  and
José A. Iglesias
Víctor Abella*
Affiliation:
Universidad de Burgos (Spain)
Jaak Panksepp
Affiliation:
Washington State University (USA)
Dionisio Manga
Affiliation:
Universidad de León (Spain)
Carmen Bárcena
Affiliation:
Universidad de León (Spain)
José A. Iglesias
Affiliation:
Universidad de León (Spain)
*
Correspondence concerning this article should be addressed to Víctor Abella. Departamento de Ciencias de la Educación. Universidad de Burgos. 09001 Burgos (Spain). E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The Affective Neuroscience Personality Scales have been designed to provide a personality assessment tool based on six distinct affective systems. The six neural systems involved were labeled PLAY, SEEK, CARE, FEAR, ANGER and SADNESS. Spirituality has been integrated into the questionnaire as a seventh dimension because, in opinion of Panksepp and his colleagues is one of the most interesting human emotion. The aim of the present paper was introduce the validation of the Spanish version of Affective Neuroscience Personality Scales and their first psychometric results in a sample of 411 college students. Participants completed the Spanish version of ANPS, just as a personality scale of five factors (NEO-FFI-R), and the Scales of Positive and Negative Affect (PANAS). The factor structure obtained and psychometric properties of the scales indicate that the Spanish version of the scales provides an effective tool to measure the seven dimensions of personality proposal in the original questionnaire.

Las Escalas de Personalidad Neuroafectivas han sido diseñadas con la intención de proporcionar una herramienta de evaluación de la personalidad a partir de seis sistemas afectivos bien diferenciados. Los seis sistemas neuronales implicados se han denominado JUEGO, BÚSQUEDA, CUIDADOS, MIEDO, IRA y TRISTEZA. Espiritualidad se ha integrado en el cuestionario como una séptima dimensión debido a que según consideran Panksepp y sus colaboradores es una de las emociones humanas de mayor interés. En este trabajo se presenta la validación española de las Escalas de Personalidad Neuroafectiva y sus primeros resultados psicométricos en una muestra de 412 estudiantes universitarios. Los participantes completaron la versión española de las ANPS, así como una escala de personalidad de cinco factores (NEO-FFI-R) y las Escalas de Afecto Positivo y Negativo (PANAS). La estructura factorial obtenida y las propiedades psicométricas de las escalas indican que la versión española de las escalas se presenta como una herramienta psicométrica eficaz para evaluar las siete dimensiones de la personalidad desde un punto de vista afectivo.

Keywords

affective neuroscience personalitytest validationSpainaffective neuroscience personalit yvalidación de testEspaña
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 14 , Issue 2 , November 2011 , pp. 926 - 935
Copyright
Copyright © Cambridge University Press 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bandalos, D. L. (2002). The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 9(1), 78–102. doi:10.1207/S15328007SEM0901_5CrossRefGoogle Scholar
Bárcena, C. (2006). Asociación de la ideación suicida en adultos con factores personales, perfeccionismo y afecto negativo [Association of suicidal ideation in adults with personal factors, perfectionism and negative affect]. (Doctoral thesis). Universidad de León, Spain. Retrieved from http://www.redined.mec.es/mostrar.php?registro=46021Google Scholar
Canli, T., Zhao, Z., Desmond, J. E., Kang, E. J., Gross, J., & Gabrieli, J. D. E. (2001). An fMRI study of personality influences on brain reactivity to emotional stimuli. Behavioral Neuroscience, 115(1), 33–42. doi:10.1037//0735-7044.115.1.33CrossRefGoogle ScholarPubMed
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98–104. doi:10.1037/0021-9010.78.1.98CrossRefGoogle Scholar
Costa, P. T., & McCrae, R. R. (1985). The NEO Personality Inventory manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R), and NEO Five-Factor Inventory: professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Costa, P. T., & McCrae, R. R. (1999). NEO-PI R, Inventario de Personalidad NEO revisado. NEO-FFI, Inventario NEO reducido de Cinco Factores [Revised NEO Personality Inventory (NEO-PI-R), and NEO Five-Factor Inventory]. Madrid, Spain: TEA Ediciones.Google Scholar
Davis, K. L., Panksepp, J., & Normansell, L. (2003). The Affective Neuroscience Personality Scales: Normative data and implications. Neuro-Psychoanalysis, 5(1), 57–69.Google Scholar
Deckersbach, T., Miller, K. K., Klibanski, A., Fischman, A., Dougherty, D. D., Blais, M. A., … Rauch, S. L. (2006). Regional cerebral brain metabolism correlates of neuroticism and extraversion. Depression and Anxiety, 23(3), 133–138. doi:10.1002/da.20152CrossRefGoogle ScholarPubMed
Eaton, C. A., Velicer, W. F., & Fava, J. L. (1999). Determining the number of components: an evaluation of parallel analysis and the minimum average partial correlation procedures. Unpublished manuscript.Google Scholar
Eysenck, H. J. (1995). How valid is the psychoticism scale? A comment on the Van Kampen critique. European Journal of Personality, 9(2), 103–108. doi:10.1002/per.2410090204CrossRefGoogle Scholar
Eysenck, H. J., & Eysenck, M. W. (1987). Personalidad y diferencias individuales [Personality and individual differences]. Madrid, Spain: Ediciones Pirámide.Google Scholar
Goldberg, L. R. (1990). An alternative “description of personality”: The Big-Five factor structure. Journal of Personality and Social Psychology, 59(6), 1216–1229. doi:10.1037//0022-3514.59.6.1216CrossRefGoogle ScholarPubMed
Goldberg, L. R. (1992). The development of markers of the Big-Five factor structure. Psychological Assessment, 4(1), 26–42. doi:10.1037/1040-3590.4.1.26CrossRefGoogle Scholar
Gray, J. A. (1982). The neuropsychology of anxiety: an enquiry into the functions of the septo-hippocampal system. New York, NY: Oxford University Press.Google Scholar
Gray, J. A. (1994). Three fundamental emotion systems. In Ekman, P. & Davidson, R. (Eds.), The nature of emotion (pp. 243–247). New York, NY: Oxford University Press.Google Scholar
Hambleton, R. K. (2005). Issues, designs and technical guidelines for adapting test into multiple languages and cultures. In Hambleton, R. K., Merenda, P. F., & Spielberger, S. D. (Eds.), Adapting educational and psychological test for cross-cultural assessment (pp 3–38). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. doi:10.1080/10705519909540118CrossRefGoogle Scholar
Johnson, D. L., Wiebe, J. S., Gold, S. M., Andreasen, N. C., Hichwa, R. D., Watkins, G. L., & Ponto, L. L. B. (1999). Cerebral blood flow and personality: A positron emission tomography study. American Journal of Psychiatry, 156, 252–257.CrossRefGoogle ScholarPubMed
Kendler, K. S., Liu, X-Qi., Gardner, C. O., McCullough, M. E., Larson, D., & Prescott, C. A. (2003). Dimensions of religiosity and their relationship to lifetime psychiatric and substance use disorders. American Journal of Psychiatry, 160, 496–503. doi:10.1176/appi.ajp.160.3.496CrossRefGoogle ScholarPubMed
Lattin, J., Carroll, D. J., & Green, P. E. (2003). Analyzing multivariate data. Pacific Grove, CA: Duxbury Press.Google Scholar
Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9(2), 78–102. doi:10.1207/S15328007SEM0902_1CrossRefGoogle Scholar
Lorenzo-Seva, U., & Ferrando, P. J. (2006). FACTOR: A computer program to fit the exploratory factor analysis model. Behavior Research Methods, Instruments and Computers, 38(1), 88–91. doi:10.3758/BF03192753CrossRefGoogle ScholarPubMed
MacLean, P. (1990). The Triune Brain in Evolution. New York, NY: Plenum Press.Google Scholar
Marsh, H. W., Hau, K., Balla, J. R., & Grayson, D. (1998). Is more ever too much? The number of indicators per factor in Confirmatory Factor Analysis. Multivariate Behavioral Research, 33(2), 181–220. doi:10.1207/s15327906mbr3302_1CrossRefGoogle ScholarPubMed
McCrae, R. R., & Costa, P. T. Jr., (1995). Trait explanations in personal psychology. European Journal of Personality, 9(4), 231–252. doi:10.1002/per.2410090402CrossRefGoogle Scholar
McDonald, R. P., & Ho, M. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 71–82. doi:10.1037//1082-989X.7.1.64CrossRefGoogle ScholarPubMed
Miller, W. R., & Thoresen, C. E. (2003). Spirituality, religion, and health: An emerging research field. American Psychologist, 58(1), 24–35. doi:10.1037/0003-066X.58.1.24CrossRefGoogle ScholarPubMed
Montag, C., Fiebach, C. J., Kirsch, P., & Reuter, M. (2011). Interaction of 5-HTTLPR and a variation on the oxytocin receptor gene influences negative emotionality. Biological Psychiatry, 69(6), 901–603. doi:10.1016/j.biopsych.2010.10.026CrossRefGoogle Scholar
Pahlavan, F., Mouchiroud, C., Zenasni, F., & Panksepp, J. (2008). Validation de l'adaptation française de l'échelle neuro-affective de personnalité [French validation of the Affective Neuroscience Personality Scales (ANPS)]. Revue Européene de Psychologie Appliquée/European Review of Applied Psychology, 58(3), 155–163. doi:10.1016/j.erap.2007.08.004CrossRefGoogle Scholar
Panksepp, J. (1998). Affective Neuroscience. New York, NY: Oxford University Press.CrossRefGoogle Scholar
Panksepp, J. (2000). Emotions as natural kinds within the mammalian brain. In Lewis, M. & Haviland-Jones, J. M. (Eds.), Handbook of Emotions (2nd ed.) (pp. 137–156) New York, NY: The Guilford Press.Google Scholar
Panksepp, J. (2004). Textbook of biological psychiatry. New York, NY: Wiley.Google Scholar
Panksepp, J. (2005). Affective consciousness: Core emotional feelings in animals and humans. Consciousness and Cognition, 14, 30–80. doi:10.1016/j.concog.2004.10.00CrossRefGoogle Scholar
Panksepp, J. (2006a). The core emotional systems of the mammalian brain: The fundamental substrates of human emotions. In Corrigall, J., Payne, H., & Wilkinson, H. (Eds.), About a body: Working with the embodied mind in psychotherapy (pp. 14–32). London, UK: Routledge.Google Scholar
Panksepp, J. (2006b). Emotional endophenotypes in evolutionary psychiatry. Progress in Neuro-Psycopharmacology & Biological Psychiatry, 30, 774–784. doi:10.1016/j.pnpbp.2006.01.00CrossRefGoogle ScholarPubMed
Reuter, M., Panksepp, J., Schnabel, N., Kellerhoff, N., Kempel, P., & Henning, J. (2005). Personality and biological markers of creativity. European Journal of Personality, 19(2), 83–95. doi:10.1002/per.534CrossRefGoogle Scholar
Reuter, M., Weber, B., Fiebach, C. J., Elger, C., & Montag, C. (2009). The biological basis of anger: Associations with the gene coding for DARPP-32 (PPP1R1B) and with amygdala volume. Behavioral Brain Research, 202(2), 179–183. doi:10.1016/j.bbr.2009.03.032CrossRefGoogle ScholarPubMed
Sandin, B., Chorot, P., Lostao, L., Joiner, T. E., Santed, M. A., & Valiente, R. M. (1999). Escalas PANAS de afecto positivo y negativo: Validación factorial y convergencia transcultural [The PANAS scales of positive and negative affect: Factor analytic validation and cross/cultural convergence]. Psicothema, 11(1), 37–51.Google Scholar
Schreiber, J. B., Stage, F. K., King, J., Nora, A., & Barlow, E. A. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323–337. doi:10.3200/JOER.99.6.323-338CrossRefGoogle Scholar
Scientific Software International (2006). LISREL v. 8.8 [Computer Program]. Lincolnwood, IL: Scientific Software International.Google Scholar
Spielberger, C. D. (1975). The measurement of state and trait anxiety: Conceptual and methodological issues. In Levi, L. (Ed.), Emotions: Their parameters and measurement. New York, NY: Raven Press.Google Scholar
Watson, D., Clark, L. A., & Tellegen, A. (1984). Cross-cultural convergence in the structure of mood: A Japanese replication and a comparison with U.S. findings. Journal of Personality and Social Psychology, 47(1), 127–144. doi:10.1037/0022-3514.47.1.127CrossRefGoogle Scholar
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. doi:10.1037/0022-3514.54.6.1063CrossRefGoogle ScholarPubMed