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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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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Statistical Analysis System (SAS)01:14

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SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
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Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
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Administrative data linkage in Canada: Implications for sociological research.

Yoko Yoshida1, Michael Haan1, Scott Schaffer1

  • 1The University of Western Ontario, London, Ontario, Canada.

Canadian Review of Sociology = Revue Canadienne De Sociologie
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Summary

Administrative data, collected for non-research purposes, offers significant potential for sociology. Despite challenges, these "found" data can advance sociological understanding and enrich research agendas.

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Area of Science:

  • Sociology
  • Data Science
  • Social Sciences

Background:

  • Administrative data are collected for purposes other than research.
  • These data present unique challenges due to their "found" nature.
  • Existing sociological research can be advanced by utilizing administrative data.

Purpose of the Study:

  • To explore the implications of administrative data for the field of Sociology.
  • To demonstrate the potential of administrative data in advancing sociological debates.
  • To highlight the value of investing in the use of administrative data for future research.

Main Methods:

  • Exploration of the implications of administrative data.
  • Analysis of challenges and potential of "found" data.
  • Demonstration through examples from classical sociological theory.

Main Results:

  • Administrative data can significantly advance sociological debates.
  • These data offer a "new methodological imagination" for sociological inquiry.
  • The use of administrative data can illuminate time-tested sociological concepts.

Conclusions:

  • The potential of administrative data warrants investment in sociological research.
  • Administrative data can enhance our understanding of society.
  • Administrative data are poised to become a key component of future sociological research agendas.