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

Mixed methods studies are been increasingly applied to a diversity of fields. In this paper, we discuss the growing use—and enormous potential—of mixed methods research in the field of sport and physical activity. A second aim is to contribute to strengthening the characteristics of mixed methods research by showing how systematic observation offers rigor within a flexible framework that can be applied to a wide range of situations. Observational methodology is characterized by high scientific rigor and flexibility throughout its different stages and allows the objective study of spontaneous behavior in natural settings, with no external influence. Mixed methods researchers need to take bold yet thoughtful decisions regarding both substantive and procedural issues. We present three fundamental and complementary ideas to guide researchers in this respect: we show why studies of sport and physical activity that use a mixed methods research approach should be included in the field of mixed methods research, we highlight the numerous possibilities offered by observational methodology in this field through the transformation of descriptive data into quantifiable code matrices, and we discuss possible solutions for achieving true integration of qualitative and quantitative findings.

[1]  M. Anguera,et al.  Goal Scoring in Soccer: A Polar Coordinate Analysis of Motor Skills Used by Lionel Messi , 2016, Front. Psychol..

[2]  R. Spaaij,et al.  Mixed Methods in Emerging Academic Subdisciplines , 2015 .

[3]  Toni A. Hilland Mixed Methods Research in the Movement Sciences: Case Studies in Sport, Physical Education and Dance , 2015 .

[4]  M. Sandelowski Real qualitative researchers do not count: the use of numbers in qualitative research. , 2001, Research in nursing & health.

[5]  G. K. Jonsson,et al.  Detecting hidden patterns in the dynamics of play in team sports , 2012 .

[6]  M. Fetters “Haven’t We Always Been Doing Mixed Methods Research?” , 2016 .

[7]  Valerie J. Caracelli,et al.  Toward a Conceptual Framework for Mixed-Method Evaluation Designs , 1989 .

[8]  C. Teddlie,et al.  Putting the Human Back in ‘‘Human Research Methodology’’: The Researcher in Mixed Methods Research , 2010 .

[9]  Anthony J. Onwuegbuzie,et al.  A Call for Conducting Multivariate Mixed Analyses , 2016 .

[10]  R. Bakeman,et al.  Sequential analysis and observational methods for the behavioral sciences , 2011 .

[11]  Júlio Garganta,et al.  SoccerEye: A Software Solution to Observe and Record Behaviours in Sport Settings , 2013 .

[12]  Nancy L. Leech,et al.  Conducting mixed analyses: A general typology , 2007 .

[13]  Salvador Chacón-Moscoso,et al.  Guidelines for reporting evaluations based on observational methodology. , 2015, Psicothema.

[14]  Daniel Lapresa,et al.  Tactical behaviour of winning athletes in major championship 1500-m and 5000-m track finals , 2016, European journal of sport science.

[15]  Julen Castellano,et al.  The Measuring and Observation Tool in Sports , 2008, Behavior research methods.

[16]  F. Varela,et al.  NEUROPHENOMENOLOGY A Methodological Remedy for the Hard Problem , 1996 .

[17]  María Teresa Anguera Argilaga,et al.  Diseños observacionales, cuestión clave en el proceso de la metodología observacional , 2001 .

[18]  Anthony J. Onwuegbuzie,et al.  Mixed Research as a Tool for Developing Quantitative Instruments , 2010 .

[19]  Oleguer Camerino,et al.  Lince: Multiplatform Sport Analysis Software , 2012 .

[20]  J. L. Losada,et al.  Possession Zone as a Performance Indicator in Football. The Game of the Best Teams , 2017, Front. Psychol..

[21]  P. Bazeley Computer Assisted Integration of Mixed Methods Data Sources and Analyses , 2010 .

[22]  Dawn Freshwater,et al.  The 1 + 1 = 3 Integration Challenge , 2015 .

[23]  Pedro Sánchez-Algarra,et al.  Qualitative/quantitative integration in the inductive observational study of interactive behaviour: impact of recording and coding among predominating perspectives , 2012, Quality & Quantity.

[24]  G. K. Jonsson,et al.  Quantifying biopsychosocial aspects in everyday contexts: an integrative methodological approach from the behavioral sciences , 2015, Psychology research and behavior management.

[25]  F. Varela,et al.  The View From Within: First-Person Approaches to the Study of Consciousness , 1999 .

[26]  G. K. Jonsson,et al.  How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches , 2017, Front. Psychol..

[27]  Bruce Thompson,et al.  Stepwise Regression and Stepwise Discriminant Analysis Need Not Apply here: A Guidelines Editorial , 1995 .

[28]  Verónica Morales Sánchez,et al.  Tratamiento metodológico de la observación indirecta en la gestión de organizaciones deportivas , 2014 .

[29]  Andy Clark,et al.  Visual Awareness and Visuomotor Action , 1999 .

[30]  F. Varela,et al.  Radical embodiment: neural dynamics and consciousness , 2001, Trends in Cognitive Sciences.

[31]  Antonio Hernández-Mendo,et al.  Programas informáticos de registro, control de calidad del dato, y análisis de datos , 2014 .

[32]  Carlota Torrents,et al.  Identifying and analyzing motor skill responses in body movement and dance , 2009, Behavior research methods.

[33]  Stuart J. H. Biddle,et al.  Current trends in sport and exercise psychology research , 1997 .

[34]  A. Onwuegbuzie,et al.  Complexity of quantitative analyses used in mixed research articles published in a flagship mathematics education journal , 2014 .

[35]  Gudberg K. Jonsson,et al.  Kinesics and proxemics communication of expert and novice PE teachers , 2013 .

[36]  Nataliya V. Ivankova,et al.  Emerging Trends in the Utilization of Integrated Designs in the Social, Behavioral, and Health Sciences , 2010 .

[37]  S. Biddle,et al.  Research methods in sport and exercise psychology: quantitative and qualitative issues , 2001, Journal of sports sciences.

[38]  Daniel Lapresa,et al.  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 , 2013 .

[39]  M. Anguera,et al.  Observation of Interactions in Adolescent Group Therapy: A Mixed Methods Study , 2017, Front. Psychol..

[40]  R. M. Dios,et al.  Multivariate analysis of indirect free kick in the FIFA World Cup 2014 , 2017 .

[41]  Philip Smith Roger Bakeman John M. Gottman , 1987, Animal Behaviour.

[42]  Teresa Anguera-Argilaga Observational typology , 1979 .

[43]  J. Castellano,et al.  Absolute and Relative Training Load and Its Relation to Fatigue in Football , 2017, Front. Psychol..

[44]  Júlio Garganta,et al.  Ball recovery patterns as a performance indicator in elite soccer , 2014 .

[45]  Verónica Morales Sánchez,et al.  HOISAN 1.2: programa informático para uso en metodología observacional , 2012 .

[46]  M. Anguera,et al.  Sequences of errors in the Judo throw Morote Seoi Nage and their relationship to the learning process , 2013 .

[47]  Dawn Freshwater,et al.  Publishing a Methodological Mixed Methods Research Article , 2015 .

[48]  Anthony J. Onwuegbuzie,et al.  Emergent Data Analysis Techniques in Mixed Methods Research: A Synthesis , 2010 .

[49]  Gudberg K. Jonsson,et al.  Instrumentos no estándar: planteamiento, desarrollo y posibilidades , 2007 .

[50]  T. Anguera,et al.  The temporal structure of judo bouts in visually impaired men and women , 2011, Journal of sports sciences.

[51]  Antonio Hernández Mendo,et al.  Behavioral Structure in Sociomotor Sports: Roller-Hockey , 2002 .

[52]  Charles Teddlie,et al.  A Continuation of the Paradigm Wars? Prevalence Rates of Methodological Approaches Across the Social/Behavioral Sciences , 2010 .

[53]  M. Sandelowski Sample size in qualitative research. , 1995, Research in nursing & health.

[54]  James Llinas,et al.  Handbook of Multisensor Data Fusion : Theory and Practice, Second Edition , 2008 .

[55]  A. O’Cathain,et al.  Three techniques for integrating data in mixed methods studies , 2010, BMJ : British Medical Journal.

[56]  José F. Molina-Azorín,et al.  The use of mixed methods research in the field of behavioural sciences , 2011 .

[57]  José Luis Losada,et al.  Analysis of Corner Kick Success in Elite Football , 2015 .

[58]  L. Giddings Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 2d ed , 2005 .

[59]  Lorena Torres,et al.  Monitoring Internal Load Parameters During Competitive Synchronized Swimming Duet Routines in Elite Athletes , 2014, Journal of strength and conditioning research.

[60]  M. Anguera,et al.  Mastery in Goal Scoring, T-Pattern Detection, and Polar Coordinate Analysis of Motor Skills Used by Lionel Messi and Cristiano Ronaldo , 2017, Front. Psychol..

[61]  F. Varela,et al.  Guiding the study of brain dynamics by using first-person data: Synchrony patterns correlate with ongoing conscious states during a simple visual task , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[62]  Valentino Zurloni,et al.  How to merge observational and physiological data? A case study of , 2017 .

[63]  John W. Creswell,et al.  A Concise Introduction to Mixed Methods Research , 2014 .

[64]  C. Boyd Combining qualitative and quantitative approaches. , 1993, NLN publications.

[65]  F. Varela,et al.  First-person methodologies: What, why, how? , 1999 .

[66]  M. Sandelowski,et al.  On Quantitizing , 2009, Journal of mixed methods research.

[67]  Vicki L. Plano Clark,et al.  Research Questions in Mixed Methods Research , 2010 .

[68]  Antonio Hernández-Mendo,et al.  Avances en estudios observacionales de Ciencias del Deporte desde los mixed methods , 2016 .

[69]  N. Depraz,et al.  A First-Person Analysis Using Third-Person Data as a Generative Method: A Case Study of Surprise in Depression , 2017 .

[70]  Gudberg K. Jonsson,et al.  Hidden patterns of play interaction in soccer using SOF-CODER , 2006, Behavior research methods.

[71]  M. Anguera,et al.  Adapting football to the child: an application of the logistic regression model in observational methodology , 2013 .

[72]  Daniel Roggen,et al.  Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition , 2016, Sensors.

[73]  Anthony J. Onwuegbuzie,et al.  Effect Sizes in Qualitative Research: A Prolegomenon , 2003 .

[74]  Rumen Manolov,et al.  Simulation Theory Applied to Direct Systematic Observation , 2017, Front. Psychol..

[75]  John W. Creswell,et al.  Designing and Conducting Mixed Methods Research , 2006 .

[76]  Daniel Lapresa,et al.  An Example of the Informative Potential of Polar Coordinate Analysis: Sprint Tactics in Elite 1,500-m Track Events , 2017 .

[77]  A. Onwuegbuzie,et al.  Toward a Definition of Mixed Methods Research , 2007 .

[78]  G. K. Jonsson,et al.  Identifying and analyzing the construction and effectiveness of offensive plays in basketball by using systematic observation , 2009, Behavior research methods.

[79]  Daniel Lapresa,et al.  Analysis of diachronic relationships in successful and unsuccessful behaviors by world fencing champions using three complementary techniques , 2017 .

[80]  Narcís Parés,et al.  Quality of physical activity of children in exergames: Sequential body movement analysis and its implications for interaction design , 2016, Int. J. Hum. Comput. Stud..

[81]  Anthony J. Onwuegbuzie,et al.  Typology of Analytical and Interpretational Errors in Quantitative and Qualitative Educational Research , 2003 .

[82]  Gudberg K. Jonsson,et al.  Dynamics of the game in soccer: Detection of T-patterns , 2012 .

[83]  D. Freshwater Mixed Methods Research , 2015 .

[84]  Pat Bazeley,et al.  Editorial: Integrating Data Analyses in Mixed Methods Research , 2009 .

[85]  Daniel Lapresa,et al.  Observational analysis of the offensive sequences that ended in a shot by the winning team of the 2010 UEFA Futsal Championship , 2013, Journal of sports sciences.

[86]  Nancy L. Leech,et al.  Toward a New Era for Conducting Mixed Analyses: The Role of Quantitative Dominant and Qualitative Dominant Crossover Mixed Analyses [Book Chapter] , 2011 .

[87]  Pat Bazeley,et al.  Analysing Qualitative Data: More Than 'Identifying Themes' , 2009 .

[88]  Mary Beth Happ,et al.  Event Analysis Techniques , 2004, ANS. Advances in nursing science.