Técnicas de análisis de patrones caóticosrevisión de estudios empíricos en Psicología

Bibliographic References

• 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.