The research methodology is a series of logical strategies that systemically form an evidence-based practice. It helps to achieve breakthroughs creatively in different settings, to conclude a critical but endless causal discourse. During the research, new facts are discovered, verified, and analyzed to conceive contemporary tools that forge pathbreaking solutions to scientific and non-scientific problems.
Research methodology gives information about the modus operandi of empirical studies curated for achieving transient and extended goals.
The dichotomy of qualitative and quantitative analysis
The fundamental principle of priori and posteriori knowledge underpin the selection of qualitative and quantitative research methods. Surveys are designed in case of quantitative, whereas qualitative data is proposed holistically in the form of case studies, ethnography, grounded theory, phenomenological study or content analysis.
Pursuing mental models to deduce a research design
Within the realm of philosophical approaches to knowledge creation lies the selection of deductive or inductive research approach. While both aim to test a hypothesis, the difference lies in the investigative approaches, research paradigm, the sequence of investigation, purpose (exploratory/ explanatory), and generalization.
The case research action research continuum
Examining a paradox can take the shape of cross-sectional, longitudinal and action researches, or a convergence of two to bridge the knowledge gap. It is the cardinal requirement of successful research and establishes the tangibility and reality of the phenomenon and the degree of dependence on the researcher.
Pilot testing for optimal robustness
Empirical studies are orchestrated using probability and non-probability sampling manifesting as random, stratified, cluster, multi-stage, quota, purposive, snowball and convenience methods. It requires the formulation of a questionnaire or an observational paradigm to generalize the research findings.
Group dynamics, observation logistics, and survey analysis
A quintessential obligation characterizing scientific research is the analysis procedure to deduce relationships and construe patterns. Includes a range of tests encompassing classification and regression algorithms such as decision trees, naïve Bayes, and linear regression models executed on tools such as Python, SPSS, STATA, E-views, and R programming.
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