Técnicas de análisis de patrones caóticosrevisión de estudios empíricos en Psicología
- Ramos Villagrasa, Pedro J.
- García Izquierdo, Antonio León 1
-
1
Universidad de Oviedo
info
ISSN: 0212-9728, 1695-2294
Año de publicación: 2011
Volumen: 27
Número: 1
Páginas: 239-248
Tipo: Artículo
Otras publicaciones en: Anales de psicología
Resumen
For a variety of reasons longitudinal research remains uncom-mon in Psychology. Traditional longitudinal analysis techniques, based on linearity assumption, offer limited ways to study different types of changes over time. This article describes nonlinearity analysis techniques, with emphasis in those whom allow the study of chaotic patterns in time series (Lyapunov exponents, recurrence plots, surrogate data, Kolmogorov. entropy, Hurst. exponent, and correlation dimension). Our main objective is to check the use of these techniques in Psychology with a research review of PsycIN-FO articles database. Results show the wide use of these techniques in some topics and the prevalence of articles published on impact factor. journals. A considerable amount of articles have been cited. All of these reveal the growing presence of these techniques in Psycholo-gy. Finally, we think that techniques based on chaos theory offer a com-plementary perspective to study time series patterns.. We expect a grown in their application to psychological research.
Referencias bibliográficas
- Ancona, D.G., Okhuysen, G.A., y Perlow, L.A. (2001a). Taking time to integrate temporal research. Academy of Management Review, 26 (4), 512-529.
- Ancona, D.G., Goodman, P.S., Lawrence, B., y Tushman, M.L. (2001b). Time: a new research lens. Academy of Management Review, 26 (4), 645-683.
- Anokhin, A.P., Lutzenberger, W., y Birbaumer, N. (1999). Spatiotemporal organization of brain dynamics and intelligence: an EEG study in adolescents. International Journal of Psychophysiology, 33 (3), 259-273.
- Aparicio, T., Pozo, E.F., y Saura, D. (2008). Detecting determinism using recurrence quantification analysis: three test procedures. Journal of Economic Behavior & Organization, 65 (3-4), 768-787.
- Arrieta, C., Navarro, J., y Vicente, S. (2008). Factores asociados a la emer-gencia de patrones diferenciales en la motivación en el trabajo. Psicot-hema, 20 (4), 745-752.
- Aßmann, B., Romano, M.C, Thiel, M., y Niemitz, C. (2006). Hierarchical organization of a reference system in newborn spontaneous movements. Infant Behavior & Development, 30 (4), 568-586.
- Aßmann, B., Thiel, M., Romano, M.C., y Niemitz, C. (2006). Recurrence plot analyses suggest a novel reference system involved in newborn spontaneous movements. Behavior Research Methods, 38 (3), 400-406.
- Basar, E., y Güntekin, B. (2007). A breakthrough in neuroscience needs a "Neebolous Cartesian System": oscillations, quantum dynamics and chaos in the brain and vegetative system. International Journal of Psychophy-siology, 64 (1), 108-122.
- Bornas, X., Llabrés, J., Noguera, M., López, A.M., Tortella-Feliu, M., Fulla-na, M.A., Montoya, P., Gelabert, J.M., y Vila, I. (2006). Changes in Herat rate variability of flight phobics during a paced breathing task and exposure to fearful stimuli. International Journal of Clinical and Health Psychology, 6 (3), 549-563.
- Bornas, X., Mühlberger, A., Llabrés, J., Wiedemann, G., y Pauli, P. (2009). Looking for traces of phylogenetic fears: differences in EEG slow oscillations and complexity between spider- and flight phobic subjects. International Journal of Clinical and Health Psychology, 9 (1), 37-49.
- Bornas, X., Noguera, M., Tortella-Feliu, M., Llabrés, J., Montoya, P., Sitges, C., y Tur, I. (2010). Exposure induced changes in EEG phase synchrony and entropy: A snake phobia case report. International Journal of Clinical and Health Psychology, 10 (1), 167-179.
- Bryk, A.S. y Raudenbush, S.W. (1992). Hierachical linear models: Applications and data analysis methods. Newbury Park: Sage.
- Buela-Casal, G., Carretero-Dios, H., y de los Santos-Roig, M. (2002). Estu-dio comparativo de las revistas de Psicología en castellano con factor de impacto. Psicothema, 14 (4), 837-852.
- Carbonell, X., y Calvó, N. (2009). Las revistas españolas de Psicología: cómo elegir la revista donde publicar. Anales de Psicología, 25 (2), 209-216.
- Carver, C.S. (1997). Dynamical social psychology: chaos and catastrophe for all. Psychological Inquiry, 8 (2), 100-119.
- Ceja, L., y Navarro, J. (2009). Dynamics of flow: a nonlinear perspective. Journal of Happiness Studies, 10 (6), 665-684.
- Chan, D. (2003). Data analysis and modeling longitudinal processes. Group & Organizational Management, 28 (3), 341-365.
- Chatfield, C. (1996). The analysis of time series: an introduction. New York, NY: Chapman & Hall.
- Christman, S.D., y Weaver, R. (2008). Linear versus non-linear measures of temporal variability in finger tapping and their relation to performance on open-versus closed-loop motor tasks: comparing standard deviations to Lyapunov exponents. Laterality, 13 (3), 255-281
- Cvitanovic, P. (1989). Universality in chaos (2a ed.). Bristol: Adam Hilger.
- Fabrigar, L.R., Petty, R.E., Smith, S.M., y Crites, S.L. (2006). Understanding knowledge effects on attitude-behavior consistency: the role of relevance, complexity, and amount of knowledge. Journal of Personality and Social Psychology, 90 (4), 556-577.
- Ferri, R., Pettinato, S., Nobili, L., Billiard, M., y Ferrillo, F. (1999). Correlation dimension of EEG slow-wave activity during sleep in narcoleptic patients under bed rest conditions. International Journal of Psychophysiology, 34 (1), 37-43.
- Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178, 471-479.
- Genaidy, A.M., Karwowski, W, Christensen, D.M, Vogiatzis, C, Deraiseh, N., y Prins, A. (1998). What is "heavy? Ergonomics, 41 (4), 420-432.
- George, J.M., y Jones, G.R. (2000). The role of time in theory and theory building. Journal of Management, 26 (4), 657-684.
- González, M. (2005). Una metodología para el análisis no lineal del bienestar psicológico en la adolescencia. Encuentros en Psicología Social, 3 (2), 59-70.
- González, M, Coenders, G, y Casas, F. (2006). Using non-linear models for a complexity approach to psychological well-being. Quality & Quantity 42 (1), 1-21.
- González, M., Casas, F., y Coenders, G. (2007). A complexity approach to psychological well-being in adolescense: major strengths and methodological issues. Social Indicators Research, 80 (2), 267-295.
- González, M, Coenders, G, Saez, M., y Casas, F. (2010). Non-linearity, complexity, and limited measurement in the relationship between satisfaction with specific life domains and satisfaction with life as a whole. Journal of Hapiness Studies, 11 (3), 335-352.
- Govindan, R.B, Narayanan, K, y Gopinathan, M.S. (1998). On the evidence of Deterministic Chaos in ECG: Surrogate and Predictability Analysis. Chaos, 8, 495-502.
- Granata, K.P., y Gottipati, P. (2008). Fatigue influences the dynamic stability of the torso. Ergonomics, 51 (8), 1258-1271.
- Grassberger, P. y Procaccia, I. (1983). On the characterization of strange attractors. Physical Review Letter, 50, 346-350.
- Gregersen, H., y Sailer, L. (1993). Chaos theory and its implications for social science research. Human Relations, 46 (7), 777-802.
- Guastello, S.J. (1998). Creative problem solving groups at the edge of chaos. Journal of Creative Behavior, 32 (1), 38-57.
- Guastello, S.J. (2007). Non-linear dynamics and leadership emergence. The Leadership Quarterly, 18 (4), 357-369.
- Guastello, S.J., y Liebovitch, M. (2009). Introduction to nonlinear dynamics and complexity. En S.J. Guastello, M. Koopmans y D. Pincus (Eds.), Chaos and complexity in psychology. The theory of nonlinear dynamical systems (pp.1-40). New York: Cambridge University Press.
- Heath, R.A. (2000). Nonlinear dynamics. Techniques and applications in Psychology. Mahwah, NJ: Lawrence Erlbaum.
- Heiby, E.M., Pagano, I.S., Blaine, D.D., Nelson, K., y Heath, R.A. (2003). Modeling unipolar depression as a chaotic processes. Psychological Assessment, 15 (3), 426-434.
- Hofmann, D.A. (1997). An Overview of the Logic and Rationale of Hierarchical Linear Models. Journal of Management, 23 (6), 723-744.
- Hofmann, D.A., Jacobs, R y Gerras, S.J. (1992). Mapping Individual Performance Over Time. Journal of Applied Psychology, 77 (2), 185-195.
- Hurst, H.E. (1951). Long-term storage capacity of reservoirs. Transactions of the American Society of Civil Engineers, 116, 770-808.
- Iverson, G.L, Gaetz, M.B, Rzempoluck, E.J, McLean, P, Linden, W, y Remick, R. (2005). A new potential marker for abnormal cardiac physiology in depression. Journal of Behavioral Medicine, 28 (6), 507-511.
- Jin, S, Na, S, Kim, S, Ham, B, Lee, D, Lee, J, y Lee, H. (2003). Hemispheric laterality and dimensional complexity in schizophrenia under sound and light stimulation. International Journal of Psychophysiology, 49 (1), 1-15.
- Katz, D, y Kahn, R.L. (1966). The social psychology of organizations. New York, NY: Wiley.
- Keshavan, M.S., Cashmere, J.D., Miewald, J, y Yeragani, V.K. (2004). Decreased nonlinear complexity and chaos during sleep in first episode schizophrenia: a preliminary report. Schizophrenia Research, 71 (2-3), 263-272.
- Kirsch, P, Besthorn, C, Klein, S, Rindfleisch, J, y Olbrich, R. (2000). The dimensional complexity of the EEG during cognitive tasks reflects the impaired information processing in schizophrenic patients. International Journal of Psychophysiology, 36 (3), 237-246.
- Kondakor, I, Michel, C, Wackermann, J, Koenig, T, Tanaka, H, Peuvot, J, y Dietrich, L. (1999). Single-dose piracetam effects on global complexity measures of human spontaneous multichannel EEG. International Journal of Psychophysiology, 34 (1), 81-87.
- Lehnertz, K. (1999). Non-linear time series analysis of intracranial EEG recordings in patients with epilepsy - an overview. International Journal of Psychophysiology, 34 (1), 45-52.
- Lindsey, J.K. (2001). Nonlinear models in medical statistics. Oxford: Oxford University Press.
- Llabrés, J., Bornas, X., Noguera, M., López, A.M., y Barceló, F. (2005). Caos en el electrocardiograma de estudiantes con miedo a volar? Un análisis de no linealidad. International Journal of Clinical and Health Psychology, 5 (2), 273-284.
- Lockhart, T.E., y Liu, J. (2008). Differentiating fall-prone and healthy adults using local dynamic stability. Ergonomics, 51 (12), 1860-1872.
- Longstaff, M.G., y Heath, R.A. (1999). A nonlinear analysis of the temporal characteristics of handwriting. Human Movement Science, 18 (4), 485-524.
- Lorenz, E.N. (1995). La esencia del caos: un campo de conocimiento que se ha conver-tido en parte importante del mundo que nos rodea. Madrid: Debate (Orig. 1993).
- Lotka, A.J. (1926). The frequency distribution of scientific productivity. Journal of Washington Academy of Sciences, 16, 317-323.
- Marwan, N., Romano, M.C., Thiel, M., y Kurths, J. (2007). Recurrence Plots for the Analysis of Complex Systems. Physics Reports, 438 (5-6), 237-329.
- Mateo, M.A. (2003). Notas sobre la Complejidad en la Psicología. Anales de Psicología, 19 (2), 315-326.
- Mathieu, J.E., y Schulze, W. (2006). The influence of team knowledge and formal plans on episodic team process-performance relationships. Academy of Management Journal, 49 (3), 605-619.
- Mégrot, F., Bardy, B., y Dietrich, G. (2002). Dimensionality and the dynamics of human unstable equilibrium. Journal of Motor Behavior, 34 (4), 323-328.
- Mitchell, T.R., y James, L.R. (2001). Building better theory: time and the specification of when thing happen. Academy of Management Review, 26 (4), 530-547.
- Mölle, M., Schwank, I., Marshall, L., Klöhn, A., y Born, J. (2000). Dimensional complexity and power spectral measures of the EEG during functional versus predicative problem solving. Brain and Cognition, 44 (3), 547-563.
- Molnár, M., Osman-Sági, J., Nagy, Z., y Kenéz, J. (1999). Scalp distribution of the dimensional complexity of the EEG and the P3 ERP component in stroke patients. International Journal of Psychophysiology, 34 (1), 53-63.
- Munné, F. (2005). Qué es la complejidad? Encuentros en Psicología Social, 3 (2), 6-17.
- Nashoni, E., Aizenberg, D., Sigler, M., Strasberg, B., Zalsman, G., Imbar, S., Adler, E., y Weizman, A. (2004). Heart rate variability increases in elderly depressed patients who respond to electroconvulsive therapy. Journal of Psychosomatic Research, 56 (1), 89-94.
- Navarro, J. (2007). La psicología social de las organizaciones desde la pers-pectiva de la complejidad. Revisión y estado actual de una relación prometedora. Encuentros en Psicología Social, 3 (2), 78-87.
- Navarro, J., y Quijano, S.D. (2003). Dinámica no lineal en la motivación en el trabajo: propuesta de un modelo y resultados preliminares. Psicothema, 15 (4), 643-649.
- Navarro, J., y Arrieta, C. (2010). Chaos in human behavior: the case of work motivation. The Spanish Journal of Psychology, 13 (1), 244-256.
- Navarro, J., Arrieta, C., y Ballén, C. (2007). An approach to the study of dynamics of work motivation using the diary method. Nonlinear Dynamics, Psychology, and Life Sciences, 11 (4), 473-498.
- Nicolis, G., y Prigogine, I. (1989). Exploring complexity: an introduction. New York, NY: Freeman and Co.
- Nowak, A., y Vallacher, R.R. (1998). Dynamical Social Psychology. New York, NY: Guildford Press.
- Ott, E. (1993). Chaos in Dynamical Systems. New York, NY: Cambridge University Press.
- Pastor, J, y García-Izquierdo, A.L. (2007). Complejidad y psicología social de las organizaciones. Psicothema, 19 (2), 212-217.
- Ployhart, R.E, Holtz, B.C., y Bliese, P.D. (2002). Longitudinal data analysis: applications of random coefficient modeling to leadership research. The Leadership Quarterly, 13 (4), 455-486.
- Roe, R.A. (2008). Time in applied psychology: the study of 'what happens' rather than 'what is'. European Psychologist, 13 (1), 37-52.
- Sammer, G. (1999). Working memory load and EEG-dynamics as revealed by point correlation dimension analysis. International Journal of Psychophy-siology, 34 (1), 89-101.
- Schreiber, T., y Schmitz, A. (1996). Improved surrogate data for nonlinearity test. Physical Review Letters, 77, 635-640.
- Schreiber, T, y Schmitz, A. (2000). Surrogate time series. Physica D, 142 (3-4), 346-382.
- Schroeck, F.E. Jr. (1994). New mathematical techniques for pattern recognition. In R. Vallacher and A. Nowak, Dynamical Systems in Social Psychology (pp.71-93). San Diego, CA: Academic Press.
- Shannon, C.E, y Weaver, W. (1949). A Mathematical Model of Communication. Urbana, IL: University of Illinois Press.
- Scott, W.G. (1961). Organization theory: an overview and appraisal. Journal Academy Management, 4 (1), 7-26.
- Srinivasan, K., Ashok, M.V., Vaz, M., y Yeragani, V.K. (2002). Decreased chaos of heart rate time series in children of patients with panic disorder. Depression and Anxiety, 15 (4), 159-167.
- Tanaka, T., Aihara, K, y Taki, M. (1998). Analysis of positive Lyapunov exponents from random time series. Physica D, 111, 42-50.
- Teplan, M, Krakovská, A. y Stolc, S. (2006). EEG responses to long-term audio-visual stimulation. International Journal of Pychophysiology, 59 (2), 81-90.
- Theiler, J, Eubank, S, Longtin, A, Galdrikian, B, y Farmer, J.D. (1992). Testing for nonlinearity in time series: The method of surrogate data. Physica D, 58, 77-94.
- Tóth, E, Kondákor, I., Túry, F., Gáti, A, Weisz, J, y Molnár, M. (2004). Nonlinear and linear EEG complexity changes caused by gustatory stimuli in anorexia nervosa. International Journal of Pychophysiology, 51 (3), 253-260.
- Treffner, P.J, y Kelso, J.A. (1999). Dynamics encounters: long memory during functional stabilization. Ecological Psychology, 11 (2), 103-137.
- Wolf, A, Swift, J. B, Swinney, H, y Vastano, J. A. (1985). Determining Lyapunov exponents from a time series. Physica D, 16, 285-317.
- Yeragani, V.K, Rao, R, Jayaraman, A, Pohl, R, Balon, R, y Glitz, D. (2002). Heart rate time series: decreased chaos after intravenous lactate and increased non-linearity after isoproterenol in normal subjects. Psychiatry Research, 109 (1), 81-92.
- Yegarani, V.K, Mallavarapu, M, Radhakrishna, R.K, Tancer, M, y Uhde, T. (2004). Linear and nonlinear measures of blood pressure variability: increased chaos of blood pressure time series in patients with panic disorder. Depression and Anxiety, 19 (2), 85-95.
- Yeragani, V.K, y Rao, R. (2003). Effect of nortripyline and paroxetine on measures of chaos of heart rate time series in patients with panic disorder. Journal of Psychosomatic Research, 55 (6), 507-513.
- Zaror, G, y Guastello, S.J. (2000). Self-organization and leadership emergence: A cross-cultural replication. Nonlinear dynamics, psychology, and life sciences, 4 (1), 113-119.