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Can interviews or a focus group improve the causal inferences drawn from experiments? Can quantitative text analysis help develop workflows as a qualitative scholar? Can we learn from a single case in a way that helps us with a statistical model? There is much to learn from the careful use of all these methodological combinations. The Practice of Multi-Method Research is aimed at practical researchers: from undergraduates preparing for an honors thesis, to graduate students designing a dissertation, through to seasoned scholars considering a new approach for their next set of studies. It offers a hands-on, practical guide to combining research across various methodological traditions: qualitative, machine learning, and quantitative approaches to concepts and measurement, adding quantitative and data-science components to process-tracing designs and to qualitative case studies in general, how qualitative research can strengthen regression-type designs, and how to mix qualitative elements with experiments..
Qualitative and quantitative methods can help make sense of the range of meanings connected with concepts, mapping usage and clarifying alternatives so people can position their intended meanings with respect to the space of existing alternatives. Likewise, qualitative and quantitative methods can help clarify where measurement problems come from, and can be used together to turn abstract ideas about measurement error into far research conversations about how social dynamics work to produce social science measures in the first place. Qualitative and quantitative approaches to conceptualization and measurement involves familiar tensions between deep attention to texts versus breadth and representation across a broader collection; between human comprehensibility and optimal work with complex, multidimensional mathematical and linguistic representations; and between familiarity and precision. Good research designs, like those discussed in this chapter, mitigate these tensions and emphasize the strengths of both methods.
How can regression-type studies, which try to get causal inferences by controlling for variables until whatever is left is plausibly a causal relationship, benefit as much as possible from qualitative research? This chapter offers three qualitative research designs that can help test and improve quantitative causal inferences based on control variables. First, we consider process-tracing designs that seek to discover previously unknown confounding variables that can be added as new control variables, thereby refining and improving the statistical model. Second, we discuss process tracing that seeks to confirm that control variables have a direct connection to the outcome variable, and therefore are relevant controls. Third, we discuss process tracing to check whether control variables might be posttreatment and therefore at least partially harmful. Finally, we provide a demonstration of the kind of iterated interaction that we have in mind between statistical efforts at causal inference and qualitative research to learn more about the assumptions behind the model, involving the relationship between labor union strength and the prevalence of employment law across U.S. states.
How can mixed-method research add value to experiments? There is much to learn by adding qualitative components to experiments that can test for problems related to measurement; networks and spillover among experimental subjects; issues related to the meaning of treatments, outcomes, and other aspects of the experiment for participants; the exhaustiveness of the intended causal content of the treatment; and moderation effects related to subgroups of participants, or to differences across implementations of an experiment in divergent contexts. Some of these areas relate to the goal of theoretical generalization from the initial experiment, but most of them also have connections with the meaning and quality of the causal inference for the experiment at hand.
Process tracing methods, which involve ways of using information within a single case to think carefully about questions of social-science theory, have become one of the leading qualitative methods in political science and related fields. Can mixed-method approach to process tracing work without destroying the qualitative logic of the method? This chapter argues that two distinct forms of process tracing, involving testing of existing causal theories and discovery of new theories, each have room for mixed-method strategies. We show that qualitative components can become steps within a testing-based process tracing argument, and offer guidelines for structuring such studies. We then offer a novel approach to combining machine-learning techniques like LASSO regression with discovery-based process tracing, illustrating the design with an application to the rise in visibility of U.S. far right broadcaster Alex Jones.
How can quantitative methods support case studies in general? One common task in case-study research is presenting audiences with a large collection of texts. Text-as-data methods may facilitate this task by summarizing the overall collection more quickly and understandably than we can usually do ourselves, and by locating individual documents within the collection. We offer an application, showing how text-as-data methods effectively summarize the large collection of legal documents available regarding defendants in cases related to the January 6th invasion and facilitate case-study exploration and understanding of specific individuals. We also discuss how mixed-method approaches may save time and resources as a way of moving across levels of analysis within a case-study design. We wind up the chapter by raising a note of caution regarding common attempts to use statistics as a test of generalizability for case studies and regarding the somewhat less common but still recurrent designs that mix game theory and qualitative research. Both of these approaches can work, and can offer insights, but both are harder than they may initially appear.
Research designs can combine qualitative, quantitative, experimental, and data-science methods through careful planning, attention to details and assumptions, and methodological execution. This chapter introduces the book's perspective, arguing that designs that combine methods carefully and with close attention to their details will outperform designs where two or more methods are carried out in parallel and then compared. The chapter also considers a range of practical and philosophical questions related to whether it makes sense to combine methods. Is one method always best, such that it isn't worth trying? Do methods speak fundamentally different languages, such that there is no point? Are methods and problems inextricably linked, such that the question is irrelevant? We argue against each of these views.
This article contributes to the understanding of the racial politics underpinning nation branding through a two-step mixed-method analysis of the Image Bank of Sweden, an online promotional material provided through the branding platform Sharing Sweden. First, an exploratory quantitative analysis reveals a paradox: while White individuals overwhelmingly dominate the images of Sweden, Black and Asian individuals appear at rates disproportionate to their actual demographic presence – particularly in contexts related to education and student life. Second, a multi-modal discourse analysis of images and texts shows how the representations of higher education and student life mobilize racialized bodies to project an image of Sweden as diverse, modern, and globally competitive. At the same time, White students’ portrayal is accompanied by messages of Swedish traditions, reinforcing existing views of Sweden as a White nation. Ultimately, we argue that such portrayals reproduce the logics of tokenistic multiculturalism and commodification of racial difference and whiteness within the aesthetic economy of nation branding.
Especially in the context of climate adaptation policy, creating support for hard policy instruments and convincing people that their individual contributions do matter are two significant challenges. In this study, we test the effect of an individually versus collectively framed gain-appeal infographic on the acceptance of hard policy instruments and this in the context of strictly private climate change adaptation behaviour. We used a mixed methods approach focussing on reducing private paving in domestic gardens in Belgium. Evidence from an online survey experiment (n = 3,389) showed that policy makers implementing a collectively framed infographic can increase the acceptance of a more strict permit policy and a yearly financial contribution, while simultaneously enhancing personal and collective self-efficacy and outcome expectancy beliefs. Complementary insights from qualitative data learned that perceived (in)equity is a crucial point of attention when designing climate policies addressing private paving. A collectively framed infographic may convey the message ‘yes, we ánd I can’. With these “findings, we want to trigger new opportunities in climate policies beyond the current policy scopes.
A barrier to meeting the goal of universal health coverage in India is the inequality in utilisation of health services between indigenous and non-indigenous people. This study aimed to explore the determinants of utilisation, or non-utilisation, of public healthcare services among the Santals, an indigenous community living in West Bengal, India. The study holistically explored the utilisation of public healthcare facilities using a framework that conceptualised service coverage to be dependent on a set of determinants – viz. the nature and severity of the ailment, availability, accessibility (geographical and financial), and acceptability of the healthcare options and decision-making around these further depends on background characteristics of the individual or their family/household. This cross-sectional study adopts ethnographic approach for detailed insight into the issue and interviewed 422 adult members of Santals living in both rural (Bankura) and urban (Howrah) areas of West Bengal for demographic, socio-economic characteristics and healthcare utilisation behaviour using pre-tested data collection schedule. The findings revealed that utilisation of the public healthcare facilities was low, especially in urban areas. Residence in urban areas, being female, having higher education, engaging in salaried occupation and having availability of private allopathic and homoeopathic doctors in the locality had higher odds of not utilising public healthcare services. Issues like misbehaviour from the health personnel, unavailability of medicine, poor quality of care, and high patient load were reported as the major reasons for non-utilisation of public health services. The finding highlights the importance of improving the availability and quality of care of healthcare services for marginalised populations because these communities live in geographically isolated places and have low affordability of private healthcare. The health programme needs to address these issues to improve the utilisation and reduce the inequality in healthcare utilisation, which would be beneficial for all segments of Indian population.
In collaboration with the HR team of a large IT service provider, this chapter relates to a study of fifty individuals who have been identified as high performers by their employer and the search for indicators and patterns of sustainable high performance.
The research design consisted of initial interviews at a virtual day, attendance of 2.5-day off-site coaching workshops and up to 60-minute follow-up interviews. During the workshop days, 24-hour heart rate variability (HRV) measurements were collected – a well-established biomarker of well-being, strain and recovery. As HRV data are difficult to analyze without contextual information, interviews, focus-group sessions, participatory observation and debriefing interviews were combined in order to contextualize the quantitative measurements and involve the participants in the interpretation and sense-making of the findings.
The methodological goal of this chapter is to demonstrate how orchestrating, improvising and performing a mixed-method study has been essential to validate, augment and complement quantitative data. The study results depend on the ability of the researchers to skilfully and empathetically engage with the interviewees and to engage them as participants in the interpretation of their data and thus as co-producers of meaning.
Several initiatives within psychiatric nursing targets Non-suicidal self-injury (NSSI) in DK, but none targets the new phenomenon Digital Self-harm. Digital self-harm involves the use of Social media (SoMe) to harm oneself for example by communicating condescending content about and to oneself through fake profiles, seeking out conflicts to be humiliated, and consciously get others to say vicious things about themselves. Further, images are exchanged showing wounds, broken extremities, etc. and thoughts and feelings are exchanged about suicidal actions as well as methods for both self-harm and suicide actions. We do not know enough about what constitutes the problem nor do we know how to address neither the behavior nor their consequences. Due to conflicting results, more research is needed to understand how media affects NSSI as well as suicidal behavior.
Objectives
The overall objective of this study is to map, at a national level, how SoMe is used as part of NSSI and suicidal behavior and get insight as to what constitutes the behavior and how we address it through three sub-studies.
Methods
The study will be carried out as a mixed method study and includes a systematic review (Study 1), a qualitative part, which will be examined through interviews (Study 2), and finally a quantitative part that will be conducted through questionnaires (Study 3).
Results
The project is ongoing.
Conclusions
Prospects of this study are that the project will create clarity about the essence of the phenomenon of digital self-harm, how NSSI and suicidal behavior is affected and generate enough knowledge to develop interventions aiming digital self-harming and suicidal behavior.
With regards to the latest European Recommendations, developing key competences has become an important goal of education. The purpose of this comparative study is to focus on this topic considering the teaching of Latin and Greek in upper secondary school in Italy and Spain. A multiple case study with a mixed research design was used, with 173 students and 25 teachers as participants in the quantitative part and 40 students and 18 teachers in the qualitative part. The underlined results are a) the importance of working on the learning concepts of the students of Classics, as this influences the way they study b) the teaching factors that help pupils to develop key competences are evaluation, feedback, teacher personality, interactivity and discipline. Useful paths for daily teaching and new perspectives for future research in this field are offered.
This paper focuses on the use of ‘concurrent evaluation’ to evaluate a nationally scaled-up programme in Bangladesh that was implemented by BRAC (an international development organisation) using Shasthya Shebika (SS) – volunteer community health workers – to promote home fortification with micronutrient powders (MNP) for children under-five.
Design:
We developed a programme impact pathway to conceptualise the implementation and evaluation strategy and developed a strategic partnership among the key programme stakeholders for better use of evaluation evidence. We developed a multi-method concurrent evaluation strategy to provide insights into the BRAC programme and created provision for course correction to the implementation plan while it was in operation.
Setting:
One hundred sixty-four sub-districts and six urban slums in Bangladesh.
Participants:
Caregivers of children 6–59 months, SS and BRAC’s staff members.
Results:
The evaluation identified low awareness about home fortification among caregivers, inadequate supply and frequent MNP stockouts, and inadequate skills of BRAC’s SS to promote MNP at the community level as hindrances to the achievement of programme goals. The partners regularly discussed evaluation results during and after implementation activities to assess progress in programme coverage and any needs for modification. BRAC initiated a series of corrections to the original implementation plan to address these challenges, which improved the design of the MNP programme; this resulted in enhanced programme outcomes.
Conclusions:
Concurrent evaluation is an innovative approach to evaluate complex real-world programmes. Here it was utilised in implementing a large-scale nutrition programme to measure implementation process and effectiveness.
To explore the acceptance and effects of life review on older adults.
Design:
A mixed-method study design was utilized in this study.
Setting:
Four nursing homes located in Fuzhou, China.
Participants:
Sixty-two older adults from four nursing homes were selected according to the criteria set for this study.
Method:
Sixty-two older adults were randomly assigned to either the life review group or the control group, and 55 of them completed the study. Twenty-four participants took part in qualitative interviews after the life review program concluded. The Geriatric Depression Scale–15, Rosenberg Self-Esteem Scale, and Purpose in Life Test were adopted to measure depression, self-esteem, and meaning in life, respectively.
Results:
The findings indicated that life review can reduce depressive symptoms and may be effective at improving self-esteem and meaning in life among Chinese elderly people. More importantly, it revealed that cultural factors such as values, beliefs, and attitudes could interfere with participation in a life review.
Conclusions:
A culturally sensitive life review program could be an alternative approach to psychotherapy for promoting mental health in older adults.
Background: In the past decade, a great deal of research has examined the efficacy and mechanisms of attentional bias modification (ABM), a computerized cognitive training intervention for anxiety and other disorders. However, little research has examined how anxious patients perceive ABM, and it is unclear to what extent perceptions of ABM influence outcome. Aims: To examine patient perceptions of ABM across two studies, using a mixed methods approach. Method: In the first study, participants completed a traditional ABM program and received a hand-out with minimal information about the purpose of the task. In the second study, participants completed an adaptive ABM program and were provided with more extensive rationale and instructions for changing attentional biases. Results: A number of themes emerged from qualitative data related to perceived symptom changes and mechanisms of action, acceptability, early perceptions of the program, barriers/facilitators to engagement, and responses to adaptive features. Moreover, quantitative data suggested that patients’ perceptions of the program predicted symptom reduction as well as change in attentional bias. Conclusions: Our quantitative data suggest that it may be possible to quickly and inexpensively identify some patients who may benefit from current ABM programs, although our qualitative data suggest that ABM needs major modifications before it will be an acceptable and credible treatment more broadly. Although the current study was limited by sample size and design features of the parent trials from which these data originated, our findings may be useful for guiding hypotheses in future studies examining patient perceptions towards ABM.
A two-grid method for solving the Cahn-Hilliard equation is proposed in this paper. This two-grid method consists of two steps. First, solve the Cahn-Hilliard equation with an implicit mixed finite element method on a coarse grid. Second, solve two Poisson equations using multigrid methods on a fine grid. This two-grid method can also be combined with local mesh refinement to further improve the efficiency. Numerical results including two and three dimensional cases with linear or quadratic elements show that this two-grid method can speed up the existing mixed finite method while keeping the same convergence rate.
Two-phase fluid flows on substrates (i.e. wetting phenomena) are important in many industrial processes, such as micro-fluidics and coating flows. These flows include additional physical effects that occur near moving (three-phase) contact lines. We present a new 2-D variational (saddle-point) formulation of a Stokesian fluid with surface tension that interacts with a rigid substrate. The model is derived by an Onsager type principle using shape differential calculus (at the sharp-interface, front-tracking level) and allows for moving contact lines and contact angle hysteresis and pinning through a variational inequality. Moreover, the formulation can be extended to include non-linear contact line motion models. We prove the well-posedness of the time semi-discrete system and fully discrete method using appropriate choices of finite element spaces. A formal energy law is derived for the semi-discrete and fully discrete formulations and preliminary error estimates are also given. Simulation results are presented for a droplet in multiple configurations to illustrate the method.
We introduce a family of mixed discontinuous Galerkin (DG) finite element methods fornearly and perfectly incompressible linear elasticity. These mixed methods allow thechoice of polynomials of any order k ≥ 1 for the approximation of thedisplacement field, and of order k or k − 1 for thepressure space, and are stable for any positive value of the stabilization parameter. Weprove the optimal convergence of the displacement and stress fields in both cases, witherror estimates that are independent of the value of the Poisson’s ratio. These estimatesdemonstrate that these methods are locking-free. To this end, we prove the correspondinginf-sup condition, which for the equal-order case, requires a construction to establishthe surjectivity of the space of discrete divergences on the pressure space. In theparticular case of near incompressibility and equal-order approximation of thedisplacement and pressure fields, the mixed method is equivalent to a displacement methodproposed earlier by Lew et al. [Appel. Math. Res. express3 (2004) 73–106]. The absence of locking of this displacementmethod then follows directly from that of the mixed method, including the uniform errorestimate for the stress with respect to the Poisson’s ratio. We showcase the performanceof these methods through numerical examples, which show that locking may appear ifDirichlet boundary conditions are imposed strongly rather than weakly, as we do here.