The use of mixed methods research in the field of behavioural sciences

Lopez-Fernandez, Olatz; Molina‐Azorín, José F.

doi:10.1007/s11135-011-9543-9

Cited by 52 publications

(36 citation statements)

References 42 publications

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“…The scientific literature of the past 25 years has presented, from varying and sometimes opposing standpoints, a wide spectrum of theoretical positions and empirical findings in relation to studies that are claimed to represent mixed methods research studies (López-Fernández and Molina-Azorín, 2011). Mixed methods research is growing in most disciplines—as demonstrated by Onwuegbuzie and Corrigan (2016) via their recent meta-prevalence rate study.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2017

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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.

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Section: Discussionmentioning

confidence: 99%

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

et al. 2017

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“…In this case, the designs used are sequential, given that the qualitative part helps to evaluate and interpret the results obtained from the quantitative data [28]. …”

Section: Methodsmentioning

confidence: 99%

“…[28]) can respond to such issue. Mixed methods research is formally defined here as the combination of quantitative and qualitative research techniques, methods, approaches, concepts or languages into a single study.…”

Section: Introductionmentioning

confidence: 99%

Solving a methodological challenge in work stress evaluation with the Stress Assessment and Research Toolkit (StART): a study protocol

Guglielmi

Simbula

Vignoli

et al. 2013

J Occup Med Toxicol

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BackgroundStress evaluation is a field of strong interest and challenging due to several methodological aspects in the evaluation process. The aim of this study is to propose a study protocol to test a new method (i.e., the Stress Assessment and Research Toolkit) to assess psychosocial risk factors at work.DesignThis method addresses several methodological issues (e.g., subjective vs. objective, qualitative vs quantitative data) by assessing work-related stressors using different kinds of data: i) organisational archival data (organisational indicators sheet); ii) qualitative data (focus group); iii) worker perception (questionnaire); and iv) observational data (observational checklist) using mixed methods research. In addition, it allows positive and negative aspects of work to be considered conjointly, using an approach that considers at the same time job demands and job resources.DiscussionThe integration of these sources of data can reduce the theoretical and methodological bias related to stress research in the work setting, allows researchers and professionals to obtain a reliable description of workers’ stress, providing a more articulate vision of psychosocial risks, and allows a large amount of data to be collected. Finally, the implementation of the method ensures in the long term a primary prevention for psychosocial risk management in that it aims to reduce or modify the intensity, frequency or duration of organisational demands.

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“…There is a growing body of literature incorporating qualitative research to address this issue (Daouk‐Öyry & McDowal, ; Lopez‐Fernandez & Molina‐Azorin, ). One approach, the Cognitive Interview (CI) is increasingly acknowledged as an appropriate method for exploring respondent interpretation of items in order to ascertain equivalence.…”

mentioning

confidence: 99%

Initial Validation and Refinement of the Hierarchical Inventory of Personality for Children in the Australian Context

Watt

Hopkinson

Costello

et al. 2017

Australian Psychologist

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Objective: Amelioration of cross-cultural and cross-language impacts on scale validity should be of concern to the researcher. The Hierarchical Personality Inventory for Children, (HiPIC), a 144-item Five-Factor Model Flemish personality scale, is both a cross-cultural and language scale in Australia. The present study is a mixed method validation study of the translated version of the HiPIC for use within the Australian context. Method: Cognitive interviewing of 10 end-users of the HiPIC identified potentially confusing items. Alternate items were generated by a team of developmental psychologists. A further sample of parents/carers of children aged 5-14 years (N = 399) completed the HiPIC items. Iterative single-factor principal component analyses of the internal structure of facets were used to select psychometrically defensible items for an adapted HiPIC or HiPIC-A. The hierarchical model of the HiPIC-A was then confirmed against a Flemish HiPIC sample using Procrustes rotation, with external validity considered by comparison to the Strengths and Difficulties Questionnaire. Results: The resulting HiPIC-A, reduced to 124 items including 13 adapted items, achieved sound internal consistency and high total congruence (0.98) with the Flemish sample. Regression against the Strengths and Difficulties Questionnaire demonstrated further support for external validity of the HiPIC-A. Conclusion: The mixed method design was an effective approach to a cross-language cultural adaptation and validation of the HiPIC, confirming the robust nature of the HiPIC model. The potential for the adapted HiPIC-A to identify adaptive and maladaptive developmental trajectories in Australian children has important implications for practice and further research. On-going validation is outlined.

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The use of mixed methods research in the field of behavioural sciences

Cited by 52 publications

References 42 publications

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

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

Solving a methodological challenge in work stress evaluation with the Stress Assessment and Research Toolkit (StART): a study protocol

Initial Validation and Refinement of the Hierarchical Inventory of Personality for Children in the Australian Context

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