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Unobtrusive research

Unobtrusive research (or unobtrusive measures) is a method of data collection used primarily in the social sciences. The term unobtrusive measures was first coined by Webb, Campbell, Schwartz, & Sechrest in a 1966 book titled Unobtrusive Measures: Nonreactive Research in the Social Sciences.[1] The authors described methodologies which do not involve direct elicitation of data from the research subjects. Unobtrusive measures are contrasted with interviews and questionnaires, in that they try to find indirect ways to obtain the necessary data. The unobtrusive approach often seeks unusual data sources, such as garbage, graffiti and obituaries, as well as more conventional ones such as published statistics.

Unobtrusive measures should not be perceived as an alternative to more reactive methods such as interviews, surveys and experiments, but rather as an additional tool in the tool chest of the social researcher. Unobtrusive measures can assist in tackling known biases such as selection bias and experimenter's bias. Webb and his colleagues emphasize the importance of triangulating the results obtained through various methodologies, each with its own unique set of (usually unknown) biases.

The proliferation of digital media opened a new era for communication researchers in search of unobtrusively obtained data sources. Online communication creates digital footprints that can allow an analysis of data that are obtained through unobtrusive methods, and are also massively larger than any corpora obtained via elicitation and human transcription. These footprints can now be used to analyze topics such as the content of communication events, the process of communication, and the structure of the communicative network. The surge of Internet-sourced research data rekindled the discussion of the ethical aspects of using unobtrusively obtained data. For example, can all data collected in the public domain be used for research purposes? When should we seek consent, and is it realistic to require informed consent from sources of unobtrusively collected data? These questions do not have a simple answer, and the solution is a result of a careful and ongoing dialog between researchers, and between researchers and society.[2]

References edit

  1. ^ Webb, Eugene J. et al. Unobtrusive Measures: Nonreactive Research in the Social Sciences. Chicago: Rand McNally, 1966
  2. ^ AoIR. "Association of Internet Researchers Ethics Guide".
  • Lee, R. M. (2000). Unobtrusive Methods in Social Research. Open University Press.
  • Webb, E. J.; Campbell, D. T.; Schwartz, R. D. & Sechrest, L. (2000). Unobtrusive Measures; revised edition. Thousand Oaks: Sage Publications Inc. ISBN 0-7619-2011-0

unobtrusive, research, this, article, needs, additional, citations, verification, please, help, improve, this, article, adding, citations, reliable, sources, unsourced, material, challenged, removed, find, sources, news, newspapers, books, scholar, jstor, apri. This article needs additional citations for verification Please help improve this article by adding citations to reliable sources Unsourced material may be challenged and removed Find sources Unobtrusive research news newspapers books scholar JSTOR April 2011 Learn how and when to remove this message Unobtrusive research or unobtrusive measures is a method of data collection used primarily in the social sciences The term unobtrusive measures was first coined by Webb Campbell Schwartz amp Sechrest in a 1966 book titled Unobtrusive Measures Nonreactive Research in the Social Sciences 1 The authors described methodologies which do not involve direct elicitation of data from the research subjects Unobtrusive measures are contrasted with interviews and questionnaires in that they try to find indirect ways to obtain the necessary data The unobtrusive approach often seeks unusual data sources such as garbage graffiti and obituaries as well as more conventional ones such as published statistics Unobtrusive measures should not be perceived as an alternative to more reactive methods such as interviews surveys and experiments but rather as an additional tool in the tool chest of the social researcher Unobtrusive measures can assist in tackling known biases such as selection bias and experimenter s bias Webb and his colleagues emphasize the importance of triangulating the results obtained through various methodologies each with its own unique set of usually unknown biases The proliferation of digital media opened a new era for communication researchers in search of unobtrusively obtained data sources Online communication creates digital footprints that can allow an analysis of data that are obtained through unobtrusive methods and are also massively larger than any corpora obtained via elicitation and human transcription These footprints can now be used to analyze topics such as the content of communication events the process of communication and the structure of the communicative network The surge of Internet sourced research data rekindled the discussion of the ethical aspects of using unobtrusively obtained data For example can all data collected in the public domain be used for research purposes When should we seek consent and is it realistic to require informed consent from sources of unobtrusively collected data These questions do not have a simple answer and the solution is a result of a careful and ongoing dialog between researchers and between researchers and society 2 References edit Webb Eugene J et al Unobtrusive Measures Nonreactive Research in the Social Sciences Chicago Rand McNally 1966 AoIR Association of Internet Researchers Ethics Guide Lee R M 2000 Unobtrusive Methods in Social Research Open University Press Webb E J Campbell D T Schwartz R D amp Sechrest L 2000 Unobtrusive Measures revised edition Thousand Oaks Sage Publications Inc ISBN 0 7619 2011 0 Retrieved from https en wikipedia org w index php title Unobtrusive research amp oldid 1183097841, wikipedia, wiki, book, books, library,

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