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What is Data Triangulation

Methodologies and Ethics for Social Sciences Research
Data triangulation is a research methodology that entails the utilization of various sources or ways to collect and analyze data pertaining to the same subject matter. The objective is to bolster the reliability and validity of the conclusions by corroborating information acquired from various sources or by employing diverse methods.
Published in Chapter:
Methodological Challenges in Neuropolitical Research and Determining the Sample Selection
Ertuğrul Buğra Orhan (Fırat University, Turkey)
Copyright: © 2024 |Pages: 27
DOI: 10.4018/979-8-3693-1726-6.ch011
Abstract
The burgeoning field of neuropolitics, scrutinizing the intersection of neurological data and political behavior, is gaining traction in interdisciplinary research. This study navigates challenges, methodological advancements, and opportunities in this domain, focusing on data collection tools and integrating qualitative methods. Highlighting neuropolitics' multidisciplinary essence and reliance on EEG, fMRI, and Eye Trackers, the paper delves into decision-making behaviors. It emphasizes the need for standardized research processes and explores the efficacy of these tools, spotlighting EEG's accessibility and the user-friendliness of Eye Trackers. The study links neuropolitics with qualitative methodologies, advocating for sample coherence and employing data triangulation for rigor. It proposes a preliminary model integrating qualitative frameworks and neurological tools, accentuating their potential in enhancing objectivity. It urges collaborative efforts to challenge conventional paradigms in political studies.
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