Uma abordagem plural da análise sequencial a partir de perspectivas complementares: estudo de caso do comportamento na esgrima com um delineamento de métodos mistos
Agências Suporte
- Agradecemos sinceramente o apoio de: 1) INEFC (Institut Nacional d'Educació Física de Catalunya); 2) o projeto do governo espanhol Integración entre datos observacionales y datos provenientes de sensores externos: Evolución del software LINCE PLUS y desarrollo de la aplicación móvil para la optimización del deporte y la actividad física beneficiosa para la salud [EXP_74847] (2023). Ministerio de Cultura y Deporte, Consejo Superior de Deporte and European Union.; 3) Grup de Recerca i Innovació en Dissenys (GRID), Tecnología i Aplicació Multimedia i Digital als Dissenys Observacionals [Grant number 2021 SGR 00718] (2022-2024); e 4) INEFC Barcelona Sport Sciences Research Group (2021 GRC 01191).
Resumo
O objetivo deste estudo é destacar diferentes perspetivas da sequencialidade, cada uma envolvendo técnicas analíticas distintas, a partir de uma perspetiva de métodos mistos. Os estudos de métodos mistos têm sido definidos por vários autores como aqueles que integram elementos qualitativos e quantitativos. Por um lado, a partir de uma abordagem “clássica” e utilizando um conjunto de dados simulados, examinamos os méritos do cálculo da distância entre sequências como medida da sua similaridade ou dissimilaridade. Por outro lado, exploramos três abordagens da análise sequencial — análise sequencial de retardos, análise de coordenadas polares e deteção de T-padrões — com o objetivo de analisar o grau de convergência dos seus resultados. Após a discussão destas técnicas, apresentamos um estudo de caso empírico no domínio das ciências do desporto. Neste estudo, analisamos uma competição de esgrima das fases finais de um campeonato mundial como um caso particular de observação sistemática. Considerando o forte componente metodológico deste trabalho, centramo-nos no primeiro nível da diacronia — análise intra-sessão — ainda que o nosso objetivo seja alargar a análise à diacronia inter-sessão. Utilizando um instrumento observacional específico, criámos um conjunto de dados que, após os controlos necessários de qualidade, foi analisado recorrendo às três técnicas referidas. Os resultados foram depois combinados e analisados quanto às suas semelhanças e diferenças. Finalmente, com base nos resultados deste estudo de caso, propomos um procedimento para aproveitar o potencial e as garantias oferecidas pela análise sequencial, de modo a reunir casos individuais com estruturas e sequências semelhantes, construindo assim um estudo de caso múltiplo robusto.
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Referências
1. Abbott, A. (1990). A primer on sequence methods. Organization Science, 1(4), 373–392. https://doi.org/10.1287/orsc.1.4.373
2. Abbott, A. (1992). From causes to events: Notes on narrative positivism. Sociological Methods & Research, 20(4), 428–455. https://doi.org/10.1177/0049124192020004002
3. Abbott, A. (1995). Sequence analysis. Annual Review of Sociology, 21, 93–113. https://doi.org/10.1146/annurev.so.21.080195.000521
4. Abbott, A. (2001). Time matters: On theory and method. University of Chicago Press.
5. Abbott, A., & Forrest, J. (1986). Optimal matching methods for historical sequences. The Journal of Interdisciplinary History, 15(1), 471–494. https://doi.org/10.2307/204500
6. Abbott, A., & Hrycak, A. (1990). Measuring resemblance in sequence data: An optimal matching analysis of musicians' careers. American Journal of Sociology, 96(1), 144–185. https://doi.org/10.1086/229526
7. Abbott, A., & Tsay, A. (2000). Sequence analysis and optimal matching methods in sociology. Sociological Methods & Research, 29(1), 3–33. https://doi.org/10.1177/0049124100029001001
8. Alcover, C., Mairena, M. A., Mezzatesta, M., Elías, N., Díez, M., Balañá, G., González, M., Rodríguez-Medina, J., Anguera, M. T., & Arias-Pujol, E. (2019). Mixed methods approach to describe social interaction during a group intervention for adolescents with Autism Spectrum Disorders. Frontiers in Psychology, 10, Article 1158. https://doi.org/10.3389/fpsyg.2019.01158
9. Allison, P. D., & Liker, J. K. (1982). Analyzing sequential categorical data on dyadic interaction: A comment on Gottman. Psychological Bulletin, 91(2), 393–403. https://doi.org/10.1037/0033-2909.91.2.393
10. American Psychological Association. (2002). Ethical principles of psychologists and code of conduct. American Psychologist, 57(12), 1060–1073. https://doi.org/10.1037/0003-066X.57.12.1060
11. Anguera, M. T. (1990). Metodología observacional. In J. Arnau, M. T. Anguera, & J. Gómez (Eds.), Metodología de la investigación en Ciencias del Comportamiento (pp. 125–236). Secretariado de Publicaciones de la Universidad de Murcia.
12. Anguera, M. T. (1997). From prospective patterns in behavior to joint analysis with a retrospective perspective. In Colloque sur invitation «Méthodologie d’analyse des interactions sociales». Université de la Sorbonne.
13. Anguera, M. T. (2003). Observational methods (General). In R. Fernández-Ballesteros (Ed.), Encyclopedia of psychological assessment (Vol. 2, pp. 632–637). Sage.
14. Anguera, M. T. (2007). Análisis de la temporalidad en registros observacionales de situaciones deportivas: ¿Dos caras de una misma realidad? [Analysis of temporality in observational datasets from sporting situations: Two sides of the same coin?]. In A. Borges & P. Prieto (Eds.), Psicología y Ciencias Afines en los albores del siglo XXI. Homenaje al Profesor Sánchez Bruno (pp. 25–40). Grupo Editorial Universitario.
15. Anguera, M. T. (2017). Transiciones interactivas a lo largo de un proceso de desarrollo: Complementariedad de análisis [Interactive transitions throughout a development process: A complementary analysis approach]. In C. Santoyo (Coord.), Mecanismos básicos de toma de decisiones: Perspectivas desde las ciencias del comportamiento y del desarrollo (pp. 179–213). CONACYT 178383/UNAM.
16. Anguera, M. T. (2018). Avances sostenidos en pos de la indagación de regularidades en el comportamiento humano: Del caso único al caso múltiple [Sustained progress in investigating patterns in human behavior: From the single to the multiple case]. In Academia de Psicología de España (Ed.), Psicología para un mundo sostenible (Vol. II, pp. 31–50). Editorial Pirámide.
17. Anguera, M. T., Blanco-Villaseñor, A., Hernández-Mendo, A., & Losada, J. L. (2011). Diseños observacionales: ajuste y aplicación en psicología del deporte. Cuadernos de Psicología del Deporte, 11(2), 63–76.
18. Anguera, M. T., Camerino, O., Castañer, M., Sánchez-Algarra, P., & Onwuegbuzie, A. J. (2017). The specificity of observational studies in physical activity and sports sciences: Moving forward in mixed methods research and proposals for achieving quantitative and qualitative symmetry. Frontiers in Psychology, 8, Article 2196. https://doi.org/10.3389/fpsyg.2017.02196
19. Anguera, M. T., Jonsson, G. K., Escolano-Pérez, E., Sánchez-Lopez, C. R., Losada, J. L., & Portell, M. (2023). T-pattern detection in the scientific literature of this century: A systematic review. Frontiers in Psychology, 14, 1085980. https://doi.org/10.3389/fpsyg.2023.1085980
20. Aragón, S., Lapresa, D., Arana, X., Anguera, M. T., & Garzón, B. (2016). Tactical behaviour of winning athletes in major championship 1500-m and 5000-m track finals. European Journal of Sport Science, 16(3), 279–286. https://doi.org/10.1080/17461391.2015.1009494
21. Arias-Pujol, E., & Anguera, M. T. (2017). Observation of interactions in adolescent group therapy: A mixed methods study. Frontiers in Psychology, 8, Article 1188. https://doi.org/10.3389/fpsyg.2017.01188
22. Bakeman, R. (1978). Untangling streams of behavior: Sequential analysis of observation data. In G. P. Sackett (Ed.), Observing behavior (Vol. 2, pp. 63–78). University Park Press.
23. Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis (2nd ed.). Cambridge University Press.
24. Bakeman, R., & Quera, V. (2011). Sequential analysis and observational methods for the behavioral sciences. Cambridge University Press. https://doi.org/10.1017/CBO9780511984324
25. Billari, F. C. (2001). Sequence analysis in demographic research. Canadian Studies in Population, 28(2), 439–458. https://doi.org/10.25336/P6G30C
26. Blanco-Villaseñor, A., & Anguera, M. T. (2000). Evaluación de la calidad en el registro del comportamiento: Aplicación a deportes de equipo. In E. Oñate, F. García-Sicilia, & L. Ramallo (Eds.), Métodos numéricos en ciencias sociales (pp. 30–48). Centro Internacional de Métodos Numéricos en Ingeniería (CIMNE).
27. Blossfeld, H.-P., Hamerle, A., & Mayer, K. U. (1989). Event history analysis: Statistical theory and application in the social sciences. Lawrence Erlbaum.
28. Blossfeld, H.-P., & Rohwer, G. (1995). Techniques of event history modeling: New approaches to causal analysis. Lawrence Erlbaum Associates.
29. Borrie, A., Jonsson, G. K., & Magnusson, M. S. (2002). Temporal pattern analysis and its applicability in sport: An explanation and preliminary data. Journal of Sports Sciences, 20(10), 845–852. https://doi.org/10.1080/026404102320675675
30. Camerino, O., Castañer, M., & Anguera, M. T. (Eds.). (2012). Mixed methods research in the movement sciences: Case studies in sport, physical education and dance. Routledge.
31. Castañer, M., Barreira, D., Camerino, O., Anguera, M. T., Canton, A., & Hileno, R. (2016). Goal scoring in soccer: A polar coordinate analysis of motor skills used by Lionel Messi. Frontiers in Psychology, 7, Article 806. https://doi.org/10.3389/fpsyg.2016.00806
32. Castañer, M., Barreira, D., Camerino, O., Anguera, M. T., Fernandes, T., & Hileno, R. (2017). Mastery in goal scoring, T-pattern detection and polar coordinate analysis of motor skills used by Lionel Messi and Cristiano Ronaldo. Frontiers in Psychology, 8, Article 741. https://doi.org/10.3389/fpsyg.2017.00741
33. Chaverri, J., Camerino, O., Anguera, M. T., Blanco-Villaseñor, Á., & Losada, J. L. (2010). Interaction contexts in soccer: Detection of T-patterns. Gymnasium: Revista de Educação Física, Desporto e Saúde, 2(1), 69–92.
34. Cochran, W. G. (1954). Some methods for strengthening the common χ² test. Biometrics, 10, 417–451. https://doi.org/10.2307/3001616
35. Comité de Ética de Investigaciones Clínicas de la Administración Deportiva de Cataluña. (2005). Orden PRE/99/2005 (DOGC 4347 de 21/3/2005). http://portaldogc.gencat.cat/utilsEADOP/PDF/4347/417073.pdf
36. Diefenbach, T. (2009). Are case studies more than sophisticated storytelling? Methodological problems of qualitative empirical research mainly based on semi-structured interviews. Quality & Quantity, 43, 875–894. https://doi.org/10.1007/s11135-008-9164-0
37. Dijkstra, W., & Taris, T. (1995). Measuring the agreement between sequences. Sociological Methods & Research, 24(2), 214–231. https://doi.org/10.1177/0049124195024002004
38. Escolano-Pérez, E., Herrero-Nivela, M. L., & Anguera, M. T. (2019). Preschool metacognitive skill assessment in order to promote educational sensitive response from mixed-methods approach: Complementarity of data analysis. Frontiers in Psychology, 10, Article 1298. https://doi.org/10.3389/fpsyg.2019.01298
39. Fédération Internationale d'Escrime. (2014). Rules and regulations. http://www.fie.ch/Fencing/Rules.aspx
40. Font, R., Daza, G., Irurtia, A., Tremps, V., Cadens, M., Mesas, J. A., & Iglesias, X. (2022). Analysis of the variables influencing success in elite handball with polar coordinates. Sustainability, 14(23), 15542. https://doi.org/10.3390/su142315542
41. Gabin, B., Camerino, O., Anguera, M. T., & Castañer, M. (2012). Lince: Multiplatform sport analysis software. Procedia - Social and Behavioral Sciences, 46, 4692–4694. https://doi.org/10.1016/j.sbspro.2012.06.320
42. García-Fariña, A., Jiménez Jiménez, F., & Anguera, M. T. (2018). Observation of physical education teachers’ communication: Detecting patterns in verbal behavior. Frontiers in Psychology, 9, Article 334. https://doi.org/10.3389/fpsyg.2018.00334
43. Gauthier, J.A., Bühlmann, F., & Blanchard, P. (2014). Introduction: Sequence analysis in 2014. In P. Blanchard, F. Bühlmann, & J.-A. Gauthier (Eds.), Advances in sequence analysis: Theory, method, applications (pp. 1–17). Springer. https://doi.org/10.1007/978-3-319-04969-4_1
44. George, L. K. (1993). Sociological perspectives on life transitions. Annual Review of Sociology, 19(1), 353–373. https://doi.org/10.1146/annurev.so.19.080193.002033
45. Gerring, J. (2004). What is a case study and what is it good for? American Political Science Review, 98(2), 341–354. https://doi.org/10.1017/S0003055404001182
46. Gutiérrez-Santiago, A., Prieto, I., Camerino, O., & Anguera, M. T. (2013). Sequences of errors in the judo throw Morote Seoi Nage and their relationship to the learning process. Journal of Sports Engineering and Technology, 227(1), 57–63. https://doi.org/10.1177/1754337111431916
47. Harriss, D. J., MacSween, A., & Atkinson, G. (2019). Ethical standards in sport and exercise science research: 2020 update. International journal of sports medicine, 40(13), 813-817. https://doi.org/10.1055/a-1015-3123
48. Hernández-Mendo, A., López-López, J. A., Castellano, J., Morales-Sánchez, V., & Pastrana, J. L. (2012). Hoisan 1.2: Programa informático para uso en metodología observacional. Cuadernos de Psicología del Deporte, 12(1), 55–78. https://doi.org/10.4321/S1578-84232012000100006
49. Herriott, R. E., & Firestone, W. A. (1983). Multisite qualitative policy research: Optimizing description and generalizability. Educational Researcher, 12(2), 14–19. https://doi.org/10.3102/0013189X012002014
50. Hilliard, R. B. (1993). Single-case methodology in psychotherapy process and outcome research. Journal of Consulting and Clinical Psychology, 61, 373–380. https://doi.org/10.1037/0022-006X.61.3.373
51. Iglesias, X., & Anguera, M. T. (2012). The influence of environmental factors in the context of elite fencing. In O. Camerino, M. Castañer, & M. T. Anguera (Eds.), Mixed methods research in the movement sciences: Cases in sport, physical education and dance (pp. 83–93). Routledge.
52. Iglesias, X., Gasset, A., González, C., & Anguera, M. T. (2010). Interacción competitiva y presión ambiental en deportes de combate: Aplicación de la metodología observacional. Revista Iberoamericana de Psicología del Ejercicio y el Deporte, 5(2), 267–282.
53. José, J., Leitão, J., Iglesias, X., Anguera, M. T., & Campaniço, J. (2017). Observational instrument for fencing: Tactical actions characterization. Motricidade, 13(1), 209.
54. Lapresa, D., Alsasua, R., Arana, J., & Garzón, B. (2013a). Comparative analysis of T-patterns using real time data and simulated data by assignment of conventional durations: The construction of efficacy in children's basketball. International Journal of Performance Analysis in Sport, 13(2), 321–339. https://doi.org/10.1080/24748668.2013.11868651
55. Lapresa, D., Álvarez, L., Arana, J., Garzón, B., & Caballero, V. (2013c). Observational analysis of the offensive sequences that ended in a shot by the winning team of the 2010 UEFA Futsal Championship. Journal of Sports Sciences, 31(5), 1731–1739. https://doi.org/10.1080/02640414.2013.803584
56. Lapresa, D., Arana, J., Anguera, M. T., & Garzón, B. (2013b). Comparative analysis of the sequentiality using SDIS-GSEQ and THEME: A concrete example in soccer. Journal of Sports Sciences, 31(5), 1687–1695. https://doi.org/10.1080/02640414.2013.796061
57. Lapresa, D., Del Río, A., Arana, J., Amatria, M., & Anguera, M. T. (2018). Use of effective play-space by U12 FC Barcelona players: An observational study combining lag sequential analysis and T-pattern detection. International Journal of Performance Analysis in Sport, 18(2), 293–309. https://doi.org/10.1080/24748668.2018.1475195
58. Levy, R., Ghisletta, P., Le Goff, J. M., Spini, D., & Widmer, E. (Eds.). (2005). Towards an interdisciplinary perspective on the life course (Vol. 10). Elsevier. https://doi.org/10.1016/S1040-2608(05)10016-1
59. Liao, T. F., Bolano, D., Brzinsky-Fay, C., Cornwell, B., Fasang, A. E., Helske, S., Piccarreta, R., Raab, M., Ritschard, G., Struffolino, E., & Studer, M. (2022). Sequence analysis: Its past, present, and future. Social Science Research, 107, 102772. https://doi.org/10.1016/j.ssresearch.2022.102772
60. Magnusson, M. S. (1996). Hidden real-time patterns in intra- and inter-individual behavior: Description and detection. European Journal of Psychological Assessment, 12(2), 112–123. https://doi.org/10.1027/1015-5759.12.2.112
61. Magnusson, M. S. (2000). Discovering hidden time patterns in behavior: T-patterns and their detection. Behavior Research Methods, Instruments, & Computers, 32(1), 93–110. https://doi.org/10.3758/BF03200792
62. Magnusson, M. S. (2018). Temporal patterns in interactions. In E. Brauner, M. Boos, & M. Kolbe (Eds.), The Cambridge handbook of group interaction analysis (pp. 323–353). Cambridge University Press. https://doi.org/10.1017/9781316286302.017
63. Maneiro, R., & Amatria, M. (2018). Polar coordinate analysis of relationships with teammates, areas of the pitch, and dynamic play in soccer: A study of Xabi Alonso. Frontiers in Psychology, 9, Article 389. https://doi.org/10.3389/fpsyg.2018.00389
64. Maneiro, R., Amatria, M., & Anguera, M. T. (2019). Dynamics of Xavi Hernández’s game: A vectorial study through polar coordinate analysis. Journal of Sports Engineering and Technology, 233(2), 143–155. https://doi.org/10.1177/1754337119830472
65. McClure, E. (1983). Sociocultural variables in children's sequencing of stories. Discourse Processes, 6(2), 131–143. https://doi.org/10.1080/01638538309544559
66. Menescardi, C., Falco, C., Estevan, I., Ros, C., Morales-Sánchez, V., & Hernández-Mendo, A. (2019). Is it possible to predict an athlete’s behavior? The use of polar coordinates to identify key patterns in taekwondo. Frontiers in Psychology, 10, Article 1232. https://doi.org/10.3389/fpsyg.2019.01232
67. Morillo, J. P., Reigal, R. E., Hernández-Mendo, A., Montaña, A., & Morales-Sánchez, V. (2017). Decision-making by handball referees: Design of an ad hoc observation instrument and polar coordinate analysis. Frontiers in Psychology, 8, Article 1842. https://doi.org/10.3389/fpsyg.2017.01842
68. Nunes, H., Iglesias, X., Del Giacco, L., & Anguera, M. T. (2022). The pick-and-roll in basketball from deep interviews of elite coaches: A mixed method approach from polar coordinate analysis. Frontiers in Psychology, 13, 801100. https://doi.org/10.3389/fpsyg.2022.801100
69. Pérez-Tejera, F., Valera, S., & Anguera, M. T. (2018). Using systematic observation and polar coordinates analysis to assess gender-based differences in park use in Barcelona. Frontiers in Psychology, 9, Article 2299. https://doi.org/10.3389/fpsyg.2018.02299
70. Portell, M., Anguera, M. T., Hernández-Mendo, A., & Jonsson, G. K. (2015). Quantifying biopsychosocial aspects in everyday contexts: An integrative methodological approach from the behavioral sciences. Psychology Research and Behavior Management, 8, 153–160. https://doi.org/10.2147/PRBM.S82417
71. Portell, M., Sene-Mir, A. M., Anguera, M. T., Jonsson, G. K., & Losada, J. L. (2019). Support system for the assessment and intervention during the manual material handling training at the workplace: Contributions from the systematic observation. Frontiers in Psychology, 10, Article 1247. https://doi.org/10.3389/fpsyg.2019.01247
72. Posner, M. I., Rothbart, M. K., & Sheese, B. E. (2007). Attention genes. Developmental Science, 10(1), 24–29. https://doi.org/10.1111/j.1467-7687.2007.00559.x
73. Preciado, M., Anguera, M. T., Olarte, M., & Lapresa, D. (2021). Revisión sistemática en fútbol sala desde los mixed methods. Revista de Psicología del Deporte, 30, 75–96.
74. Quera, V. (2018). Analysis of interaction sequences. In E. Brauner, M. Boos, & M. Kolbe (Eds.), The Cambridge handbook of group interaction analysis (pp. 295–322). Cambridge University Press. https://doi.org/10.1017/9781316286302.016
75. Rodríguez-Medina, J., Rodríguez-Navarro, H., Arias, V., Arias, B., & Anguera, M. T. (2018). Non-reciprocal friendships in a school-age boy with autism: The ties that build? Journal of Autism and Developmental Disorders, 48(9), 2980–2994. https://doi.org/10.1007/s10803-018-3575-0
76. Roustan, M., Izquierdo, C., & Anguera, M. T. (2013). Sequential analysis of an interactive peer support group. Psicothema, 25(3), 396–401. https://doi.org/10.7334/psicothema2012.93
77. Sackett, G. P. (1980). Lag sequential analysis as a data reduction technique in social interaction research. In D. B. Sawin, R. C. Hawkins, L. O. Walker, & J. H. Penticuff (Eds.), Exceptional infant: Psychosocial risks in infant-environment transactions (Vol. 4, pp. 300–340). Brunner/Mazel.
78. Sáiz-Manzanares, M. C., Alonso-Martínez, L., & Marticorena-Sánchez, R. (2022). A systematic review of the use of T-Patterns and T-String analysis (TPA) with THEME: Analysis using mixed methods and data mining techniques. Frontiers in Psychology, 13, 943907. https://doi.org/10.3389/fpsyg.2022.943907
79. Sandelowski, M. (1996). One is the liveliest number: The case orientation of qualitative research. Research in Nursing & Health, 19, 525–529. https://doi.org/10.1002/(SICI)1098-240X(199612)19:6<525::AID-NUR8>3.0.CO;2-Q
80. Sankoff, D., & Kruskal, J. B. (1983). Time warps, string edits, and macromolecules. Addison-Wesley.
81. Santoyo, C., Jonsson, G. K., Anguera, M. T., & López-López, J. A. (2017). Observational analysis of the organization of on-task behavior in the classroom using complementary data analyses. Anales de Psicología, 33(3), 497–514. https://doi.org/10.6018/analesps.33.3.271061
82. Santoyo, C. V., & Mendoza, B. G. (2018). Behavioral patterns of children involved in bullying episodes. Frontiers in Psychology, 9, Article 456. https://doi.org/10.3389/fpsyg.2018.00456
83. Schegloff, E. (2000). On granularity. Annual Review of Sociology, 26, 715–720. https://doi.org/10.1146/annurev.soc.26.1.715
84. Siggelkow, N. (2007). Persuasion with case studies. Academy of Management Journal, 50, 20–24. https://doi.org/10.5465/amj.2007.24160882
85. Soriano, D., Tarragó, R., Lapresa, D., Callan, M., & Iglesias, X. (2024). Observation system for the technical-tactical analysis of judo by the Rio 2016 Olympic champions. PLoS One, 19(5), e0303689. https://doi.org/10.1371/journal.pone.0303689
86. Soto, A., Camerino, O., Iglesias, X., Anguera, M. T., & Castañer, M. (2022). LINCE PLUS software for systematic observational studies in sports and health. Behavior Research Methods, 54(3), 1263–1271. https://doi.org/10.3758/s13428-021-01642-1
87. Stake, R. E. (1995). The art of case study research. Sage.
88. Stake, R. E. (2006). Multiple case study analysis. Guilford Press.
89. Studer, M., & Ritschard, G. (2016). What matters in differences between life trajectories: A comparative review of sequence dissimilarity measures. Journal of the Royal Statistical Society: Series A (Statistics in Society), 179(2), 481–511. https://doi.org/10.1111/rssa.12125
90. Tarragó, R., Iglesias, X., Lapresa, D., & Anguera, M. T. (2016). Complementariedad entre las relaciones diacrónicas de los T-patterns y los patrones de conducta en acciones de esgrima de espada masculina de élite. Cuadernos de Psicología del Deporte, 16(1), 113–128.
91. Tarragó, R., Iglesias, X., Lapresa, D., Anguera, M. T., Ruiz-Sanchís, L., & Arana, J. (2017). Analysis of diachronic relationships in successful and unsuccessful behaviors by world fencing champions using three complementary techniques. Anales de Psicología, 33(3), 471–485. https://doi.org/10.6018/analesps.33.3.271041
92. Tarragó, R., Iglesias, X., Michavila, J. J., Chaverri, D., Ruiz-Sanchís, L., & Anguera, M. T. (2015). Análisis de patrones en asaltos de espada de alto nivel. Cuadernos de Psicología del Deporte, 15(1), 149–158. https://doi.org/10.4321/S1578-84232015000100015
93. Vuchinich, S. (1984). Sequencing and social structure in family conflict. Social Psychology Quarterly, 47, 217–234. https://doi.org/10.2307/3033819
94. Yamaguchi, K. (1991). Event history analysis. Sage.
95. Yin, R. K. (2014). Case study research: Design and methods (5th ed.). Sage.
96. Zurloni, V., Cavalera, C., Diana, B., Elia, M., & Jonsson, G. K. (2014). Detecting regularities in soccer dynamics: A T-pattern approach. Revista de Psicología del Deporte, 23(1), 157–164.
Las obras que se publican en esta revista están sujetas a los siguientes términos:
1. El Servicio de Publicaciones de la Universidad de Murcia (la editorial) conserva los derechos patrimoniales (copyright) de las obras publicadas, y favorece y permite la reutilización de las mismas bajo la licencia de uso indicada en el punto 2.
2. Las obras se publican en la edición electrónica de la revista bajo una licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0 España (texto legal). Se pueden copiar, usar, difundir, transmitir y exponer públicamente, siempre que: i) se cite la autoría y la fuente original de su publicación (revista, editorial y URL de la obra); ii) no se usen para fines comerciales; iii) se mencione la existencia y especificaciones de esta licencia de uso.
3. Condiciones de auto-archivo. Se permite y se anima a los autores a difundir electrónicamente las versiones pre-print (versión antes de ser evaluada) y/o post-print (versión evaluada y aceptada para su publicación) de sus obras antes de su publicación, ya que favorece su circulación y difusión más temprana y con ello un posible aumento en su citación y alcance entre la comunidad académica. Color RoMEO: verde.
