Gudberg K. Jonsson

Scopus Publications

Editorial: Best practice approaches for mixed methods research in psychological science, volume II
Gudberg K. Jonsson, Mariona Portell, José Luis Losada, Judith Schoonenboom
Frontiers in Psychology, 2025
The evolution of mixed methods research in psychological science marks a pivotal shift from the historically entrenched divide between qualitative and quantitative paradigms. Mixed methods emerged in the late 20th century as a reconciliatory approach. By integrating diverse methodologies, it enriched psychological inquiry and gained momentum. Over the past decades, its adoption has expanded exponentially across disciplines, reflecting its versatility in addressing complex research questions. Yet, this growth has also introduced challenges, including conceptual ambiguities, heterogeneous design taxonomies, and inconsistent quality in application. As the field matures, establishing methodological rigor and standardized criteria remains critical to ensure the credibility and coherence of mixed methods research.The way psychological and educational research is conducted has changed significantly over the last two decades. Researchers are increasingly working across disciplines and internationally, and new technologies have enabled them to develop new methods. As a result of these two tendencies, research projects and research questions have become much more complex and dynamic. It has become increasingly necessary to use more than one method to answer these questions, leading to a steady increase in mixed methods studies. Moreover, mixed methods research itself has become more complex, interdisciplinary, and collaborative. Previously, the basic idea of mixed methods research involved a combination of qualitative and quantitative data collection, analyzed separately, and then brought together by a single researcher or a small team at the end of the study. However, this is no longer the case.Volume II of Best Practice Approaches for Mixed Methods Research in Psychological Science reflects this increase of these diverse forms of complexity. It builds on the highly successful inaugural volume of "Best Practice Approaches for Mixed Methods Research in Psychological Science" (Anguera, et al., 2020). We will discuss the relation between the two further below.The complexity of mixed methods research grows as more studies are conducted by interdisciplinary teams. Poth et al. champion integrative teamwork in mixed methods research, proposing strategies to harness disciplinary synergies. Their reflection on a literacy case study identifies enablers (e.g., shared frameworks) and barriers (e.g., methodological silos), advocating for collaborative capacity-building to tackle complex problems.As psychological research moves away from performing cross-sectional research to develop theories about change and toward longitudinal research, complexity increases, but so do opportunities for mixed methods research. Lykkegaard and Qvortrup track tertiary students' dropout considerations, revealing fluctuating motivations shaped by academic-personal alignment. Their mixed methods design captures both stable trends and individual variability, challenging linear assumptions about dropout pathways.As for tracking data, the COVID pandemic brought new challenges as well as new digital interventions, including Corona apps. Fiol-deRoque et al. evaluated PsyCovidApp, a digital tool for healthcare workers. A questionnaire on the app's use and perceived utility was enhanced by interviews with users that explored these topics in greater depth and identified barriers and suggestions for improvement. The latter topic was the subject of additional panels with experts. As a result, not only could the most important benefits and barriers be identified, but also suggestions for optimizing the process could be generated.An innovative method combination involving questionnaire data is described by Buchholtz and Vollstedt. As in the two previous studies, Buchholtz and Vollstedt use interview data to study their questionnaire outcomes in depth, but they do so by utilizing an innovative intermediate step: interviewees were asked to Q-sort their questionnaire responses, which were analyzed quantitatively to develop different profiles.The articles discussed above involved innovative mixed methods studies that analyzed separate quantitative and qualitative data with the aim of understanding the process behind quantitative results, through the analysis of qualitative data separately collected, in this case interviews.The majority of articles in this Research Topic follow a different pattern. These articles employ a methodology in which qualitative data are quantitized. In contrast to the previous articles, these articles start with qualitative data, which is coded in great detail. These codes are then counted, and correlational and temporal patterns are used to develop patterns and profiles. In these articles, there is only one round of data collection, namely qualitative data collection, which is subsequently quantitized and interpreted qualitatively. In mixed methods notation, the design of this methodology is QUALQUANQUAL (Anguera, 2020). Since there is only one round of data collection, these articles do not combine two methodologies. Instead, they rely on a single integrated methodology that takes qualitative data as input, quantifies it using detailed coding, and then interprets it qualitatively.Although the pattern QUALQUANQUAL applies to all studies using this methodology, the collection methods, types of coding and patterns derived can vary hugely. This was already visible in the inaugural volume of "Best Practice Approaches for Mixed Methods Research in Psychological Science" (Anguera, et al., 2020), which comprised 32 manuscripts that advanced both methodological innovations and their applications across disciplines, of these 19 manuscripts that used this methodology. This collection introduced technological breakthroughs in data collection methods, including sensor-based approaches and specialized analytical software such as LINCE (Soto-Fernández et al., 2021), SAGT (Hernández-Mendo et al., 2016), GSEQ (Quera & Bakeman, 2001), HOISAN (Hernández-Mendo et al., 2012), and THEME (Magnusson, 1996, 2020, Magnusson et al,. 2016). Many contributors adopted a mixed methods approach, drawing on the 'connecting' notion (Creswell & Plano Clark, 2007) and on subsequent methodological developments of this same logic proposed by Anguera et al. (2017Anguera et al. ( , 2018Anguera et al. ( , 2021)). The methodological approaches featured T-Pattern Analysis, polar coordinate analysis, and sequential analysis applied across domains spanning sports, education, clinical psychology, and conversation analysis, demonstrating the breadth of mixed methods utility in psychological inquiry.The foundation of this methodology, quantitization, is described by Onwuegbuzie. Onwuegbuzie reimagines quantitizing -the transformation of qualitative data into quantitative forms -via the DIME-Driven Model (Descriptive, Inferential, Measurement, Exploratory). This meta-framework addresses philosophical and practical barriers to quantitizing, advocating for its strategic use to enrich analysis without compromising qualitative depth. Similarly, Hunyadi explores eye tracking paired with T-pattern analysis to detect grammatical violations, revealing how behavioural patterns (e.g., gaze duration) correlate with syntactic processing. While initial hypotheses about total gaze duration were unsupported, the study suggests combining eye tracking with neurophysiological methods (e.g., ERP: Event-Related Potentials) for richer insights. Finally, Chacón-Moscoso et al. present a case study on workplace climate assessment, systematizing interview data through quantitizing and polar coordinate analysis. Their approach demonstrates how mixed methods can unveil hidden dynamics in organizational settings, offering actionable strategies for improvement.Using the QUALQUANQUAL methodology to build patterns and profiles, various contributions illustrate mixed methods' versatility in addressing real-world challenges. In education, Qiao et al. identify group metacognition as a critical driver of collaborative learning outcomes, revealing three performance categories (H_T, EF, L_T) tied to metacognitive interactions. Their findings advocate pedagogical strategies that foster collective reflection. Tronchoni et al. analyse participatory interaction in university lectures using lag sequential analysis, uncovering 12 dialogical patterns that promote deep learning. Their work underscores the value of non-intrusive observation in refining instructional practices.Bonilla Rodríguez et al investigated conflict management strategies in secondary school classrooms using a mixed methods design based on indirect observation, following the QUALQUANQUAL framework, on teachers' focus groups. The findings revealed notable gaps in teachers' understanding of conflict dynamics and highlighted a reliance on intuitive rather than systematically trained strategies. The study advocates for enhancing teachers' cognitive and emotional skills to improve classroom conflict management and adaptive coping mechanisms. Alarcón-Espinoza et al. applies a similar procedure to analyze interactions between teachers and students, demonstrating how the detected diachronic regularities contribute to understanding emotional regulation and classroom climate in daily educational settings.Gläser-Zikuda et al. examine reflective writing through concurrent MMR, combining linguistic analysis and content analysis. Their work sheds light on how levels of reflection can be both qualitatively and quantitatively assessed, offering insights into teacher education and pedagogical growth. The QUALQUANQUAL methodology can also be useful in systematic reviews. Whereas systematic reviews commonly rely on the researchers coding articles on specific themes, the Systematic Review by Kim and Cruz synthesizes 150 studies on PE teachers' leadership using text mining and meta-analysis. Their review highlights autonomy-supporting behaviors as key to student motivation and engagement. Regional disparities in research focus (e.g., health in Asian/European studies) call for culturally tailored interventions.Three cross-cutting themes emerge:• Integration as Innovation: Techniques like polar coordinate analysis, lag sequential analysis, and Q methodology demonstrate how blending qualitative depth with quantitative precision yields novel insights.• Technology as Catalyst: Digital tools (e.g., LINCE, THEME) and automated processes enhance methodological rigor while democratizing access to mixed methods approaches.• Contextual Sensitivity: From migrant parenting to pandemic-era mental health, studies emphasize the need for culturally and contextually adaptive frameworks.We dedicate this manuscript to our dear friend and coauthor, Prof. M. We mourn the loss of an exceptional colleague, mentor, and friend. Her wisdom, kindness, and dedication left a lasting imprint on the research community. Teresa's legacy lives on through the methodologies she developed, the collaborations she fostered, and the many lives she touched. Her memory will remain a guiding light for all who had the privilege of knowing her.This Research Topic exemplifies the transformative potential of mixed methods in psychological science. Building on the foundation laid by Volume I, this second volume addresses persistent methodological challenges through carefully selected studies that exemplify genuine integration of qualitative and quantitative approaches. The included studies transcend traditional methodological boundaries, advancing both theory and practice by emphasizing conceptual innovations, methodological advancements, and practical implementations across education, mental health, cultural adaptation, and organizational behavior.Collectively, these works illuminate complex psychological phenomena, offering insights unattainable through single-method approaches while providing researchers with clear pathways for navigating mixed methods design. They offer scalable solutions for education, healthcare, and beyond.As the field evolves, fostering methodological literacy and interdisciplinary dialogue remains paramount. The contributions herein not only reflect the current state of the art but also chart a course for future research that is integrative, context-sensitive, and technologically empowered.
Therapeutic communication laboratory: integrating mixed methods with digital tools and reflective professional practice
Francisco Molinero, Gudberg K. Jonsson, M. Teresa Anguera, Laszlo Hunyadi, István Szekrényes
Frontiers in Psychology, 2025
Communication has been recognized as the matrix in which the helping professionals operate in order to generate changes. In particular, psychotherapy is fundamentally a professional practice based, from its origins, on conversation. This study aims to establish the methodological and instrumental foundations of a therapeutic communication laboratory utilizing a mixed-methods approach. The primary objective is to develop and implement tools and procedures for the effective analysis of psychotherapy session recordings. We present a methodological proposal containing the foundations of a therapeutic communication laboratory which allows a new dialogue between professional practice and empirical research based on observation. We describe the processes of data incorporation and analysis of recorded sessions from a mixed methods perspective (Qual-Quan-Qual). The automation and integration of various digital tools, aligned with this mixed methods approach, are essential to achieve closer collaboration between practitioners and researchers. The incorporation of the transcription and labeling processes of the recordings into analysis tools such as Elan and Theme allows us to advance in these objectives. This approach enhances the training and supervision of psychotherapy professionals and bridges the gap between theoretical intervention models and their practical application. From a research standpoint, it enables the development of a knowledge base and observational instruments to advance the creation of more effective intervention models.
Corrigendum: Therapeutic communication laboratory: integrating mixed methods with digital tools and reflective professional practice (Frontiers in Psychology, (2025), 16, (1447587), 10.3389/fpsyg.2025.1447587)
Francisco Molinero, Gudberg K. Jonsson, M. Teresa Anguera, Laszlo Hunyadi, István Szekrényes
Frontiers in Psychology, 2025
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Editorial: Advances in sport science: latest findings and new scientific proposals, volume II
Rubén Maneiro, Iyán Iván-Baragaño, José L. Losada, Antonio Ardá, Mario Amatria, Gudberg K. Jonsson
Frontiers in Psychology, 2025
Research in Sport Science is shaped by technological advancements (Oviedo-Caro et al., 2024), 13 shifting trends, and social influences (Chan et al., 2019). In recent years, significant progress has been 14 demonstrated in this field through various technologies, methodologies, and research approaches. 15Wearable sensors, increasingly accessible in both professional and amateur sports, have facilitated the 16 collection of a vast amount of physiological data (Seshadri et al., 2019) Sports practice is socially linked to gender, leading to social stigma and reduced participation. This 41 poses a clear issue, considering the benefits associated with sports practice and physical exercise. 42Understanding the differences and similarities between men and women in their sports participation is 43 essential for advancing effective gender equality. Within this topic, research has been conducted on 44 gender differences in managing competitive contexts among male and female archers. The findings 45 revealed that women were more vulnerable to the negative effects of failures during competition. 46Moreover, there is consensus on the positive impact of physical activity on attention levels, academic 47 performance, and social relationships. However, very few studies have focused on analyzing this 48 influence in students with special educational needs. In this topic, a positive association between 49 physical activity and these variables has been demonstrated in students with intellectual disabilities-50 a population requiring special attention and historically excluded from academic and research domains. 51This type of socially impactful work highlights the need for research in heterogeneous populations, 52 encompassing the full spectrum of individuals, whether athletes or students. Finally, and in direct 53 relation to sports performance, this topic has highlighted the influence of psychological and 54 personality-related variables on the professional performance of athletes across various sports. In 55 football, differences in players' personalities have been demonstrated based on their level of 56 experience, as well as based on gender. This is undoubtedly linked to the individual motivations of 57 each athlete, which, as evidenced, can regulate behavior and the degree of effort individuals exert. 58Similarly, the influence of social, psychological, and demographic variables on emotional regulation 59 in individual athletes has been analyzed, yielding significant conclusions for the field of knowledge. 60In summary, the second edition of 'Advances in Sport Science: Latest Findings and New Scientific 61 Proposals' serves as a valuable platform for researchers worldwide to exchange knowledge and 62 disseminate novel research in the field of Sport Science. The findings presented, possessing significant 63 social impact, have the potential to enhance practices and outcomes across diverse domains of 64 application. 65To further advance the field of Sport Science, the third edition of "Advances in Sport Science: Latest 67 Findings and New Scientific Proposals" -Volume III will be launched [link]. This volume will serve 68 as a dedicated platform for the dissemination of diverse academic contributions, with a particular 69 emphasis on: 70• The influence of psychological factors on athletic skill development.• The development and evaluation of innovative training methodologies. 72• The application of advanced statistical techniques in sports research. 73These areas of focus will drive continued progress and innovation within the field of Sport Science.
Application of association rules to ball possessions in professional men’s football
Rubén Maneiro, Mario Amatria, José L. Losada, Gudberg K. Jonsson, Antonio Ardá, Iyán Iván-Baragaño
Frontiers in Psychology, 2025
IntroductionThis study represents one of the first attempts to apply association rule mining to the analysis of ball possession in professional men’s football. The goal was to uncover hidden patterns among key tactical variables influencing possession success.MethodsUsing observational methodology, 2,324 ball possessions from the UEFA Euro 2020 championship were analyzed. The Apriori algorithm was applied to generate a total of 4,818 association rules, focusing on variables such as possession time, tactical intent, and field zones where possession occurred.ResultsThe results show that short possessions, with the intent to progress and developed in advanced zones of the field, are strongly associated with successful outcomes. This is reflected in high lift values (up to 40) and strong confidence levels. In contrast, long possessions in offensive zones did not consistently correlate with success.DiscussionThese findings suggest that possession duration alone is not a reliable predictor of success. Instead, the combination of short possessions, in advanced zones, and with progressive intent, is more closely associated with positive outcomes. Association rule mining emerges as a valid and interpretable tool to support decision-making in elite football.
Editorial: Behavior and self-similarity between nano and human scales: from T-pattern and T-string analysis (TPA) with THEME to T-societies
Magnus S. Magnusson, Gudberg K. Jonsson, Mariona Portell, M. Teresa Anguera, Maurizio Casarrubea, Frank Schwab
Frontiers in Psychology, 2023
The first was the T-pattern concept, a statistical hierarchical self-similar (pseudo-fractal) pattern recurring with significant translation symmetry since detected in human, animal, and brain network behavior (Magnusson 1996(Magnusson , 2000(Magnusson , 2005;;Magnusson et al. 2016;Casarrubea et al. 2015Casarrubea et al. , 2018;;Casarrubea and Di Giovanni 2020). Gradually, more structural concepts i.e., (Magnusson 2020(Magnusson , 2023)). T-societies are notably not found in earlier Homo Sapiens nor in social insects that use very different mechanisms, more like those in bodies as societies of cells.With the invention of writing, powerful precise cumulative extra-individual (external) memory, in a biological eye-blink human T-Societies appeared with this unique self-similarity across some nine orders of magnitude in years and size, coinciding with explosive growth in human knowledge, laws, science, and technology. While humans descend from earlier primates, human mass-societies descend from the far earlier mass-societies of proteins existing on the same bio-mathematical continuum unifying culture and biology.Presenting a new view of human modern mass social life, we aim to give the reader the most up-to-date perspective on how T-pattern detection and analysis (TPA) with Theme has led to new insight into the structure of behavior, interaction, communication and social organization in both human and non-human subjects. Contributions in this Research Topic (RT) range from different areas such as behavioral and brain sciences, health sciences, sport science, education, and communication thus suggesting the remarkable affordability and versatility of TPA in the study of the most multifaceted aspects of human and non-human behavior.The diversity of disciplines utilizing TPA does not place a preferential order in the fruition of the contents, with the sole exception of the contribution that the Reader of this RT should take into consideration first, i.e. that of Prof. M.S. Magnusson, creator of the T-system and TPA (Magnusson 2023). In his elegant work, in fact, the Author presents important propaedeutic aspects of theoretical and conceptual order concerning the model and method at the basis of the detection algorithm. He then continues with the definition of his new and striking addition to the T-system, the concept of T-societies the basis for his definition of the biomathematical self-similarity and uniqueness of human mass-societies at the heart of this RT. The RT continues with a contribution by Fioretti and Neumann (2022) in which the Authors summarize and rationalize current typologies of organizational forms, arranging available classifications in a hierarchy of increasing generality; in a second step, they discuss various communication structures pointing to the presence of several sources endowed with global connections as the most efficient diffusion mode. Sáiz-Manzanares et al. ( 2022) present a systematic review of the use of TPA during the last half decade with a special focus on mixed methods and data mining techniques; the contribution offers a detailed overview of the use of the approach in the study of human and non-human behavior. Alonso-Vega et al. ( 2022) discuss the role of verbal interaction pattern analysis in Clinical Psychology, analyze the patterns of verbal interactions, and compare the results using TPA and GSEQ, i.e. a software tool sequential analysis. Simon and Blanchet (2022) focus on three adult-child relationships: those with a foster carer, a father, and a mother; interestingly, very different interactive processes were identified: for instance, with the foster carer the interaction patterns were mainly focused on play objects, whereas they involved more collaborative activity with the father and distraction/avoidance behaviors with the mother. Santos et al. (2022) discuss the use of TPA in Sport Science, by analyzing offensive and defensive actions of football goalkeepers; the authors argue that the study could contribute to a better knowledge of the goalkeeper's behaviors in the competition. Pennill and Timmers (2022) propose an original application of TPA in describing patterns of verbal interaction in newly formed music ensembles; the Authors suggest that such a novel use of TPA could contribute to the understanding of human group behavior and interaction patterns leading to expert team performance. Casarrubea et al. (2022) present a review of the use of different approaches, such as transition matrices based analyses and TPA, in the study of the behavior from rodents to non-human primates; the Authors discuss the advantages and drawbacks of each approach and suggest that their work could represent a useful background for all scientists who intend to study quantitative and structural aspects of behavior. Anguera et al. (2023) present an elegant review of the use of TPA in the modern scientific literature; following PRISMA guidelines, searches were carried out by means of different and widely known scientific databases such as Scopus, PsycINFO, Web of Science; the Authors conclude that TPA shows a remarkable affordability and applicability and that a noticeable presence TPA in studies using observational methodology is evident. Chacón-Moscoso et al. ( 2023) present the so-called "Methodological Quality Scale" (MQS), i.e. a tool with adequate reliability, validity evidence, and metric properties; the Authors suggest that, unlike other existing scales, MQS is easy to apply and methodological quality profiles can be obtained in different areas of intervention and with different types of methods. Finally, in the field of Pedagogical Science, Belza et al. (2023) present a study concerning the application of TPA to identify important aspects of the choreography followed by Pikler educators; results show complex patterns and how educators establish interaction with children.As Editors of this RT, we are delighted to say that it has been a great pleasure to host such different contributions and from such different fields of research, and we hope that the Reader will have the same pleasure in reading these contributions, which, we are sure, will be able to provide useful insights for all those researchers who intend to use TPA in their research.
Patterns of Interactive and Motor Behavior: Animal-Assisted Intervention in Inclusive Education
Meritxell Solé, Oleguer Camerino, Maylos Rodrigo, Gudberg Jonsson, Queralt Prat, Marta Castañer
Apunts Educacion Fisica Y Deportes, 2023
Un sistema educativo inclusivo genera cambios en las prácticas pedagógicas y abre la necesidad de implementar metodologías innovadoras para ofrecer más oportunidades al alumno de participar en dicho sistema. Las intervenciones asistidas con animales (IAA) aportan efectos beneficiosos de la interacción entre seres humanos y animales, contribuyendo así al éxito de la educación inclusiva. Este estudio se llevó a cabo mediante la metodología de observación sistemática sobre dos estudios de casos de niños con discapacidades durante un curso escolar. Se ha validado el Sistema de observación de intervenciones asistidas con animales (OSAAI, por sus siglas en inglés). La observación con el sistema OSAAI, la codificación con el programa informático LINCE PLUS y el análisis de patrones temporales (patrones T) con el paquete informático Theme permitieron obtener patrones de conducta de forma sistematizada de la interacción y la conducta motriz entre los agentes de la tríada: participante, animal de terapia y docente. Los resultados han mostrado un aumento progresivo de los patrones comunicativos acompañado de expresiones emocionales proactivas de los participantes. Estos resultados demuestran los efectos beneficiosos de la estimulación cognitiva, motriz, multisensorial e interactiva que registra el IAA con el alumno que tiene discapacidades de diferente etiología en un contexto educativo inclusivo.Un sistema educativo inclusivo genera cambios en las prácticas pedagógicas y abre la necesidad de implementar metodologías innovadoras para ofrecer más oportunidades al alumno de participar en dicho sistema. Las intervenciones asistidas con animales (IAA) aportan efectos beneficiosos de la interacción entre seres humanos y animales, contribuyendo así al éxito de la educación inclusiva. Este estudio se llevó a cabo mediante la metodología de observación sistemática sobre dos estudios de casos de niños con discapacidades durante un curso escolar. Se validó el Sistema de observación de intervenciones asistidas con animales (OSAAI, por sus siglas en inglés). La observación con el sistema OSAAI, la codificación con el programa informático LINCE PLUS y el análisis de patrones temporales (T-patterns) con el paquete informático Theme, permitieron obtener patrones de conducta de forma sistematizada de la interacción y la conducta motriz entre los agentes de la tríada: participante, animal de terapia y docente. Los resultados han mostrado un aumento progresivo de los patrones comunicativos acompañado de expresiones emocionales proactivas de los participantes. Estos resultados demuestran los efectos beneficiosos de la estimulación cognitiva, motriz, multisensorial e interactiva que registra el IAA con el alumno que tiene discapacidades de diferente etiología en un contexto educativo inclusivo.
T-pattern detection in the scientific literature of this century: A systematic review
M. Teresa Anguera, Gudberg K. Jonsson, Elena Escolano-Pérez, Carmen Rosa Sánchez-Lopez, José Luis Losada, Mariona Portell
Frontiers in Psychology, 2023
IntroductionScientific literature contains mainly systematic reviews focused on substantial aspects, but there are also approaches that have combined both substantial and methodological aspects, which is our preferred option since it undeniably adds value. The aims of this study were: (1) to carry out a systematic review of the literatura on T-Pattern analysis (TPA), and (2) to explore the possible contribution of mixed methods research to the integration of qualitative and quantitative elements on a synthesis level.MethodsBased on PRISMA guidelines, searches were carried out in the Scopus, PsycINFO, and Web of Science databases. The general search syntax was: “THEME” AND (“T-Patterns” OR “T Patterns”) carried out in title, keywords and abstract. In addition, we included empirical articles on THEME and T-Patterns collected in other sources based on citations in several empirical works and consultations with different authors. This selection process resulted in 125 primary documents making up this systematic review.ResultsThe results showed that the detection of structures in behavior patterns forms a nexus between studies carried out in very diverse fields and contexts. Most studies are observational, whilst the applicability and power of T-Pattern detection are extraordinary. It allows the researcher to go deeper in a robust analysis that responds to the integration of qualitative and quantitative elements which constitutes the leit motive of mixed methods; and also to discover the deep, hidden structure that underlies the respective databases, regardless of the methodology used in each study. The possibilities in assigning parameters notably increase the options for obtaining results and their interpretation.DiscussionIt is relevant the extraordinary strength and applicability of T-pattern detection. There is a high presence of T-pattern detection and analysis in studies using observational methodology. It is necessary commit to consolidating the methodological analysis of selected works, as taking individual and collective responsibility for improving methodological quality of TPA studies, taking advantage of the resources provided by the THEME program.
Structural analyses in the study of behavior: From rodents to non-human primates
Maurizio Casarrubea, Jean-Baptiste Leca, Noëlle Gunst, Gudberg K. Jonsson, Mariona Portell, Giuseppe Di Giovanni, Stefania Aiello, Giuseppe Crescimanno
Frontiers in Psychology, 2022
The term “structure” indicates a set of components that, in relation to each other, shape an organic complex. Such a complex takes on essential connotations of functionally unitary entity resulting from the mutual relationships of its constituent elements. In a broader sense, we can use the word “structure” to define the set of relationships among the elements of an emergent system that is not determined by the mere algebraic sum of these elements, but by the interdependence relationships of these components from which the function of the entire structure itself derives. The behavior of an integrated living being can be described in structural termsviaan ethogram, defined as an itemized list of behavioral units. Akin to an architectural structure, abehavioral structurearises from the reciprocal relationships that the individual units of behavior establish. Like an architectural structure, thefunctionof the resulting behaving complex emerges from the relationships of the parts. Hence, studying behavior in its wholeness necessitates not only the identification of its constitutive units in their autarchic individuality, but also, and importantly, some understanding of their relationships. This paper aimed to critically review different methods to study behavior in structural terms. First, we emphasized the utilization of T-pattern analysis, i.e., one of the most effective and reliable tools to provide structural information on behavior. Second, we discussed the application of other methodological approaches that are based on the analysis of transition matrices, such as hierarchical clustering, stochastic analyses, and adjusted residuals. Unlike T-pattern analysis, these methods allow researchers to explore behavioral structure beyond its temporal characteristics and through other relational constraints. After an overview of how these methods are used in the study of animal behavior, from rodents to non-human primates, we discussed the specificities, advantages and challenges of each approach. This paper could represent a useful background for all scientists who intend to study behavior both quantitatively and structurally, that is in terms of the reciprocal relationships that the various units of a given behavioral repertoire normally weave together.
Exploring playful asymmetries for gender-related decision-making through T-pattern analysis
Miguel Pic, Vicente Navarro-Adelantado, Gudberg K. Jonsson
Physiology and Behavior, 2021
Diachronic analysis of qualitative data
M. Teresa Anguera, Mariona Portell, Antonio Hernández-Mendo, Pedro Sánchez-Algarra, Gudberg K. Jonsson
Routledge Reviewer S Guide to Mixed Methods Analysis, 2021
Professional boxing analysis with T-Patterns
Miguel Pic, Gudberg K. Jonsson
Physiology and Behavior, 2021
Editorial: Best Practice Approaches for Mixed Methods Research in Psychological Science
M. Teresa Anguera, Angel Blanco-Villaseñor, Gudberg K. Jonsson, José Luis Losada, Mariona Portell
Frontiers in Psychology, 2020
T-patterns integration strategy in a longitudinal study: a multiple case analysis
Carlos Santoyo, Gudberg Konrad Jonsson, María Teresa Anguera, Mariona Portell, Andrea Allegro, Ligia Colmenares, Guadalupe Yamilet Torres
Physiology and Behavior, 2020
Has the use of body image in advertising changed in the first two decades of the new century?
Laura Camerino, Oleguer Camerino, Queralt Prat, Gudberg K. Jonsson, Marta Castañer
Physiology and Behavior, 2020
Gender Differences in Strategic Behavior in a Triadic Persecution Motor Game Identified Through an Observational Methodology
Miguel Pic, Vicente Navarro-Adelantado, Gudberg K. Jonsson
Frontiers in Psychology, 2020
Support system for the assessment and intervention during the manual material handling training at the workplace: Contributions from the systematic observation
Mariona Portell, Anna M. Sene-Mir, M. Teresa Anguera, Gudberg K. Jonsson, José L. Losada
Frontiers in Psychology, 2019
Editorial on the research topic Systematic Observation: Engaging researchers in the study of daily life as it is lived
M. Teresa Anguera, Angel Blanco-Villaseñor, Gudberg K. Jonsson, José Luis Losada, Mariona Portell
Frontiers in Psychology, 2019
T-pattern detection and analysis for the discovery of hidden features of behaviour
M. Casarrubea, M.S. Magnusson, M.T. Anguera, G.K. Jonsson, M. Castañer, A. Santangelo, M. Palacino, S. Aiello, F. Faulisi, G. Raso, S. Puigarnau, O. Camerino, G. Di Giovanni, G. Crescimanno
Journal of Neuroscience Methods, 2018
T-pattern analysis and cognitive load manipulation to detect low-stake lies: An exploratory study
Barbara Diana, Valentino Zurloni, Massimiliano Elia, Cesare Cavalera, Olivia Realdon, Gudberg K. Jonsson, M. Teresa Anguera
Frontiers in Psychology, 2018
Detection of ludic patterns in two triadic motor games and differences in decision complexity
Miguel Pic Aguilar, Vicente Navarro-Adelantado, Gudberg K. Jonsson
Frontiers in Psychology, 2018
How game location affects soccer performance: T-pattern analysis of attack actions in home and away matches
Barbara Diana, Valentino Zurloni, Massimiliano Elia, Cesare M. Cavalera, Gudberg K. Jonsson, M. Teresa Anguera
Frontiers in Psychology, 2017
Detection and selection of behavioral patterns using theme: A concrete example in grassroots soccer
Mario Amatria, Daniel Lapresa, Javier Arana, M. Anguera, Gudberg Jonsson
Sports, 2017
Observational analysis of the organization of on-task behavior in the classroom using complementary data analysis
Carlos Santoyo Velasco, Gudberg Jonsson, María Teresa Anguera, José Antonio López-López
Anales De Psicologia, 2017
Tidal location of atlantic cod in icelandic waters and identification of vertical and horizontal movement patterns in cod behavior
Gudberg K. Jonsson, Vilhjalmur Thorsteinsson, Gunnar G. Tomasson
Neuromethods, 2016
Identification and description of behaviours and domination patterns in captive vervet monkeys (Cercophitecus Aethiops Pygerythrus) during feeding time
Gerardo Ortiz, Gudberg K. Jonsson, Ana Lilia del Toro
Neuromethods, 2016
Immersive dynamics: Presence experiences and patterns of attention
Michael Brill, Gudberg K. Jonsson, Magnus S. Magnusson, Frank Schwab
Neuromethods, 2016
Paraverbal communicative teaching t-patterns using socin and soprox observational systems
Marta Castañer, Oleguer Camerino, M. Teresa Anguera, Gudberg K. Jonsson
Neuromethods, 2016
Quantifying biopsychosocial aspects in everyday contexts: An integrative methodological approach from the behavioral sciences
Mariona Portell, M. Teresa Anguera, Antonio Hernández-Mendo, Gudberg Jonsson
Psychology Research and Behavior Management, 2015
T-pattern analysis for the study of temporal structure of animal and human behavior: A comprehensive review
M. Casarrubea, G.K. Jonsson, F. Faulisi, F. Sorbera, G. Di Giovanni, A. Benigno, G. Crescimanno, M.S. Magnusson
Journal of Neuroscience Methods, 2015
T-pattern analysis in soccer games: Relationship between time and attack actions
Cesare Cavalera, Diana Barbara, Massimiliano Elia, Gudberg K. Jonsson, Valentino Zurloni, M. Teresa Anguera
Cuadernos De Psicologia Del Deporte, 2015
Degradation of T-patterns in observational studies: A study on the effectiveness in futsal
Daniel Lapresa, Oleguer Camerino, Josep Cabedo, M. Teresa Anguera, Gudberg K. Jonsson, Javier Arana
Cuadernos De Psicologia Del Deporte, 2015
Detecting regularities in soccer dynamics: A T-pattern approach
Revista De Psicologia Del Deporte, 2014
Observational software, data quality control and data analysis
Revista De Psicologia Del Deporte, 2014
Autonomous acquisition of natural language
Proceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 Part of the Multi Conference on Computer Science and Information Systems Mccsis 2014, 2014
Expanding the study of internet gambling behavior: Trends within the icelandic lottery and sportsbetting platform
Heather M. Gray, Guðberg K. Jónsson, Debi A. LaPlante, Howard J. Shaffer
Journal of Gambling Studies, 2013
Kinesics and proxemics communication of expert and novice PE teachers
Marta Castañer, Oleguer Camerino, M. Teresa Anguera, Gudberg K. Jonsson
Quality and Quantity, 2013
Personality and self-esteem in social interaction
Emerging Communication Studies in New Technologies and Practices in Communication, 2012
Dynamics of the game in soccer: Detection of T-patterns
Oleguer Foguet Camerino, Javier Chaverri, M. Teresa Anguera, Gudberg K. Jonsson
European Journal of Sport Science, 2012
Detecting hidden patterns in the dynamics of play in team sports
Mixed Methods Research in the Movement Sciences Case Studies in Sport Physical Education and Dance, 2012
Detecting hidden patterns in the dynamics of play in team sports
Mixed Methods Research in the Movement Sciences Case Studies in Sport Physical Education and Dance, 2012
Evaluating multimodal human-robot interaction: A case study of an early humanoid prototype
Gudberg K. Jonsson, Kristinn R. Thorisson
ACM International Conference Proceeding Series, 2011
Identification of vertical and horizontal movement patterns in cod behavior
Gudberg K. Jonsson, Vilhjalmur Thorsteinsson, Gunnar Gudni Tomasson
ACM International Conference Proceeding Series, 2011
Ball recovery in the handball tournament of the 2008 Beijing Olympic Games: Sequential analysis of positional play as used by the Spanish team's defence
António Lopes, Oleguer Camerino, M. Teresa Anguera, Gudberg K. Jonsson
ACM International Conference Proceeding Series, 2011
Observing the paraverbal communication of coaches in competitive match situations
Marta Castañer, Catarina Miguel, M. Teresa Anguera, Gudberg K. Jonsson
ACM International Conference Proceeding Series, 2011
Observing the paraverbal communicative style of expert and novice PE teachers by means of SOCOP: A sequential analysis
Marta Castañer, Oleguer Camerino, Mª Teresa Anguera, Gudberg K. Jonsson
Procedia Social and Behavioral Sciences, 2010
Application of t-pattern detection and analysis in sports research
Gudberg K. Jonsson, M. Teresa Anguera, Pedro Sanchez-Algarra, Conceicao Olivera, Jorge Campanico, Marta Castaner, Carlota Torrents, Maria Dinusova, Javier Chaverri, Oleguer Camerino, Magnus S. Magnusson
Open Sports Sciences Journal, 2010
Identifying and analyzing the construction and effectiveness of offensive plays in basketball by using systematic observation
Jordi Fernandez, Oleguer Camerino, M. Teresa Anguera, Gudberg K. Jonsson
Behavior Research Methods, 2009
Identifying and analyzing motor skill responses in body movement and dance
Marta Castañer, Carlota Torrents, M. T. Anguera, Mária Dinušová, Gudberg K. Jonsson
Behavior Research Methods, 2009
Neurocognition and artificial general intelligence: The missing links of RoboCup research
OGAI Journal Oesterreichische Gesellschaft Fuer Artificial Intelligence, 2008
Behavioural comparison of human-animal (dog) and human-robot (AIBO) interactions
A. Kerepesi, E. Kubinyi, G.K. Jonsson, M.S. Magnusson, Á. Miklósi
Behavioural Processes, 2006
Hidden patterns of play interaction in soccer using SOF-CODER
Gudberg K. Jonsson, M. Teresa Anguera, Ángel Blanco-Villaseñor, José Luis Losada, Antonio Hernández-Mendo, Toni Ardá, Oleguer Camerino, Julen Castellano
Behavior Research Methods, 2006
Detection of temporal patterns in dog-human interaction
A. Kerepesi, G.K. Jonsson, Á. Miklósi, J. Topál, V. Csányi, M.S. Magnusson
Behavioural Processes, 2005
Temporal pattern analysis and its applicability in sport: An explanation and exemplar data
Andrew Borrie, Gudberg K. Jonsson, Magnus S. Magnusson
Journal of Sports Sciences, 2002

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