Translation and content validation of the trans-contextual model questionnaire battery and development of a web-based version for 10-to 12-year-old Danish schoolchildren

Abstract The trans-contextual model (TCM) offers a heuristic-based theoretical framework to understand fifth-grade Danish schoolchildren’s motivation to participate in the 11 for Health in Denmark educational football concept, as well as their intention and behaviour to participate in vigorous physical activity (PA) in a leisure-time context. The implementation of this model framework in a validated web-based version of the 3-part TCM questionnaire battery requires transparent, qualitative cross-cultural translation and adaptation so that effectiveness of the 11 for Health concept can be evaluated in a Danish context. The focus of this translation and adaptation process was on content validity and conceptual, item, semantic, and operational equivalencies. This study consisted of three parts: (1) translation and creation of a web-based questionnaire version, (2) cognitive debriefing interviews in two independent groups of schoolchildren (ten boys and six girls, Mage = 11.65 years) and (3) observation during implementation of the questionnaire battery. Through analytical triangulation of interviews and observations, we identified four themes: considerations to be taken into account in creating the web-based questionnaire battery, adjustments needed when translating the questionnaire battery, required personal information, and response categories. Further, we identified and resolved problems with regard to the introduction of the questionnaire battery, to 23 out of 57 questions, to providing personal information, and to response categories. The translated and adapted TCM questionnaire battery seems to be suitable for 10- to 12-year-old Danish schoolchildren and shows content validity. The Danish web-based version of the TCM is now ready for large-scale testing of its psychometric properties.

[1]  P. Krustrup,et al.  Football is medicine: it is time for patients to play! , 2018, British Journal of Sports Medicine.

[2]  P. Cuijpers,et al.  Brief self-rated screening for depression on the Internet. , 2010, Journal of Affective Disorders.

[3]  M. Ince,et al.  Use of Trans-Contextual Model-Based Physical Activity Course in Developing Leisure-Time Physical Activity Behavior of University Students , 2015, Perceptual and motor skills.

[4]  M. Hagger,et al.  Extending the trans-contextual model in physical education and leisure-time contexts: examining the role of basic psychological need satisfaction. , 2010, The British journal of educational psychology.

[5]  I. Karsai,et al.  The perceived autonomy support scale for exercise settings (PASSES): Development, validity, and cross-cultural invariance in young people , 2007 .

[6]  N. Young,et al.  International cross‐cultural validation study of the Canadian Haemophilia Outcomes: Kids’ Life Assessment Tool , 2015, Haemophilia : the official journal of the World Federation of Hemophilia.

[7]  Pediatric Migraine Disability Assessment (PedMIDAS): Translation Into Brazilian Portuguese and Cross‐Cultural Adaptation , 2017, Headache.

[8]  S. McKenna.  Measuring patient-reported outcomes: moving beyond misplaced common sense to hard science , 2011, BMC medicine.

[9]  M. Hagger,et al.  Transferring motivation from educational to extramural contexts: a review of the trans-contextual model , 2012 .

[10]  Robert J. Vallerand,et al.  An integrative analysis of intrinsic and extrinsic motivation in sport. , 1999 .

[11]  I. Karsai,et al.  Teacher, peer and parent autonomy support in physical education and leisure-time physical activity: A trans-contextual model of motivation in four nations , 2009, Psychology & health.

[12]  A Danish version of the oral health impact profile-14 (OHIP-14): translation and cross-cultural adaptation , 2020, BMC oral health.

[13]  Vassilis Barkoukis,et al.  Perceived autonomy support in physical education and leisure-time physical activity : A cross-cultural evaluation of the trans-contextual model , 2005 .

[14]  Helen J Wall,et al.  Emojis: Insights, Affordances, and Possibilities for Psychological Science. , 2017, Trends in cognitive sciences.

[15]  P. Krustrup,et al.  The “11 for Health in Denmark” intervention in 10‐ to 12‐year‐old Danish girls and boys and its effects on well‐being—A large‐scale cluster RCT , 2020, Scandinavian journal of medicine & science in sports.

[16]  Nicola Brown,et al.  Survey Development for Adolescents Aged 11–16 Years: A Developmental Science Based Guide , 2018, Adolescent Research Review.

[17]  P. Krustrup,et al.  Physical Fitness and Body Composition in 10–12-Year-Old Danish Children in Relation to Leisure-Time Club-Based Sporting Activities , 2018, BioMed research international.

[18]  Frederick Conrad,et al.  FROM IMPRESSIONS TO DATA: INCREASING THE OBJECTIVITY OF COGNITIVE INTERVIEWS , 1996 .

[19]  Bo Shen,et al.  Urban adolescents’ exercise intentions and behaviors: An exploratory study of a trans-contextual model , 2008 .

[20]  M. Hagger,et al.  Integrating the theory of planned behaviour and self-determination theory in health behaviour: a meta-analysis. , 2009, British journal of health psychology.

[21]  M. Hagger.  The trans-contextual model of motivation : an integrated multi-theory model to explain the processes of motivational transfer across context , 2014 .

[22]  C. Ritz,et al.  Improved cognitive performance in preadolescent Danish children after the school-based physical activity programme “FIFA 11 for Health” for Europe – A cluster-randomised controlled trial , 2018, European journal of sport science.

[23]  G. Andersson,et al.  Internet Administration of Three Commonly Used Questionnaires in Panic Research: Equivalence to Paper Administration in Australian and Swedish Samples of People With Panic Disorder , 2006 .

[24]  E. Peña,et al.  Lost in translation: methodological considerations in cross-cultural research. , 2007, Child development.

[25]  P. Krustrup,et al.  An 11-week school-based ‘health education through football programme’ improves health knowledge related to hygiene, nutrition, physical activity and well-being—and it’s fun! A scaled-up, cluster-RCT with over 3000 Danish school children aged 10–12 years old , 2021, British Journal of Sports Medicine.

[26]  L. B. Mokkink,et al.  COSMIN methodology for evaluating the content validity of patient-reported outcome measures: a Delphi study , 2018, Quality of Life Research.

[27]  Martyn Standage,et al.  A model of contextual motivation in physical education: Using constructs from self-determination and achievement goal theories to predict physical activity intentions. , 2003 .

[28]  C. Forrest,et al.  Translation and cross-cultural adaptation of eight pediatric PROMIS® item banks into Spanish and German , 2018, Quality of Life Research.

[29]  R. Leshem.  Brain Development, Impulsivity, Risky Decision Making, and Cognitive Control: Integrating Cognitive and Socioemotional Processes During Adolescence—An Introduction to the Special Issue , 2016, Developmental neuropsychology.

[30]  D. Collins.  Pretesting survey instruments: An overview of cognitive methods , 2003, Quality of Life Research.

[31]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[32]  I. Ajzen.  Constructing a TpB Questionnaire: Conceptual and Methodological Considerations , 2002 .

[33]  John Brodersen,et al.  Adapting Patient‐Reported Outcome Measures for Use in New Languages and Cultures , 2013 .

[34]  Ruth Filik,et al.  Sarcasm in Written Communication: Emoticons are Efficient Markers of Intention , 2016, J. Comput. Mediat. Commun..

[35]  M. Buman,et al.  World Health Organization 2020 guidelines on physical activity and sedentary behaviour , 2020, British Journal of Sports Medicine.

[36]  C. Terwee,et al.  The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. , 2010, Journal of clinical epidemiology.

[37]  E. Deci,et al.  Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. , 2000, The American psychologist.

[38]  Jacqueline L. Scott.  Children as Respondents: Methods for Improving Data Quality , 1997 .

[39]  Helen J. Wall,et al.  Emojis: Insights, Affordances, and Possibilities for Psychological Science , 2017, Trends in Cognitive Sciences.

[40]  S. Biddle,et al.  Physical Self-Perceptions in Adolescence , 2003 .

[41]  I. Ajzen.  The theory of planned behavior , 1991 .

[42]  J. Fereday,et al.  Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development , 2006 .

[43]  R. Ryan,et al.  Perceived locus of causality and internalization: examining reasons for acting in two domains. , 1989, Journal of personality and social psychology.

[44]  N. Vath,et al.  The assessment of disability in children and adolescents with headache: Adopting PedMIDAS in an epidemiological study , 2010, European journal of pain.

[45]  C. Bombardier,et al.  Guidelines for the process of cross-cultural adaptation of self-report measures. , 2000, Spine.

[46]  Sarah Alismail,et al.  Exploring and Understanding Participants’ Perceptions of Facial Emoji Likert Scales in Online Surveys , 2020, ACM Trans. Soc. Comput..

[47]  Robert J. Vallerand,et al.  A hierarchical model of intrinsic and extrinsic motivation for sport and physical activity. , 2007 .

[48]  N. Borgers,et al.  Response Effects in Surveys on Children and Adolescents: The Effect of Number of Response Options, Negative Wording, and Neutral Mid-Point , 2004 .

[49]  K. Roulston.  Data analysis and ‘theorizing as ideology’ , 2001 .

[50]  Alexandra A. García.  Cognitive interviews to test and refine questionnaires. , 2011, Public health nursing.

[51]  M. Hagger,et al.  The Trans-Contextual Model of Autonomous Motivation in Education , 2015, Review of educational research.

[52]  M. Hagger,et al.  Motivational predictors of students' participation in out-of-school learning activities and academic attainment in science: An application of the trans-contextual model using Bayesian path analysis , 2018, Learning and Individual Differences.

[53]  Sera L. Young,et al.  Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer , 2018, Front. Public Health.

[54]  G. Steffgen,et al.  Does Motivation in Physical Education Have an Impact on Out-of-School Physical Activity over Time? A Longitudinal Approach , 2020, International journal of environmental research and public health.

[55]  J. Piek,et al.  Motivation for physical activity in children: a moving matter in need for study. , 2013, Human movement science.

[56]  L. Platt,et al.  How do children answer questions about frequencies and quantities? Evidence from a large-scale field test , 2013 .

[57]  M. Herdman,et al.  Using quantitative methods within the Universalist model framework to explore the cross-cultural equivalence of patient-reported outcome instruments , 2014, Quality of Life Research.

[58]  B. Halkier.  Focus groups as social enactments: integrating interaction and content in the analysis of focus group data , 2010 .