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Related Concept Videos

Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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BEYOND TEXT: USING ARRAYS TO REPRESENT AND ANALYZE ETHNOGRAPHIC DATA.

Corey M Abramson1, Daniel Dohan2

  • 1University of Arizona, Tucson, AZ, USA.

Sociological Methodology
|February 3, 2016
PubMed
Summary
This summary is machine-generated.

Sociologists developed ethnoarray analysis, an interactive visual tool, to manage and present complex ethnographic data. This approach enhances transparency and sharing in qualitative research, addressing common fieldwork challenges.

Keywords:
computational ethnographycomputational methodsdata analysisethnographymixed methodsrepresentationtransparencyvisualization

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Area of Science:

  • Sociology
  • Qualitative Research Methods
  • Data Visualization

Background:

  • Methodological debates in sociology emphasize open data, explicit theorizing, and visualization.
  • Ethnography presents unique challenges due to diverse epistemologies and rich, context-dependent data.
  • Pragmatic issues in managing, analyzing, and presenting ethnographic fieldwork data are common.

Purpose of the Study:

  • To introduce ethnoarray analysis, an interactive visual approach for ethnographic data.
  • To provide tools addressing logistical and technical complexities in qualitative research.
  • To support transparency, depth, context, and interpretation in ethnography.

Main Methods:

  • Development of an interactive visual approach termed 'ethnoarray' analysis.
  • Application of the ethnoarray model using data from a serious illness ethnographic study.
  • Linking ethnoarrays to data repositories for enhanced analysis and sharing.

Main Results:

  • Ethnoarray analysis offers a practical solution for managing and presenting complex ethnographic data.
  • The approach facilitates new forms of analysis, interpretation, and data sharing.
  • It remains sensitive to the epistemic diversity within ethnography.

Conclusions:

  • Ethnoarray analysis can address widely shared challenges in sociological ethnography.
  • This method promotes greater transparency and accessibility in qualitative research.
  • Potential implications for the scope, practice, and forms of ethnography are discussed.