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Unobtrusive Analysis

One of the challenges every social science researcher faces is how to gather and analyze data that reflect true human experience. Although typical research is conducted via observation or questionnaires, human behavior is interrupted through these methods; therefore, the validity of the data collected may be unreliable. For example, when communication graduate researchers use undergraduate communication students to survey for various research projects, the undergraduate population may grow tired or even resentful of completing the surveys. A survey also interrupts or intrudes upon a student’s life; therefore, it may not directly reflect the actual behavior or expected attitude during the natural stream of interactions with that participant. Unobtrusive measures help to reduce the amount of selection bias and researcher bias throughout a research project. Because the researcher is not interacting directly with the participants, he or she cannot influence the participants’ responses or interactions. If a researcher conducts an experiment in which the participants are observed directly, the physical presence of the researcher may have an effect on the behavior of the participants. Unobtrusive measures allow for data collection and analysis to be completed without the researcher intruding in the research context. This entry discusses methods of indirect data collection before examining the unobtrusive analysis of existing documents and data sources, as well as Internet and social media sources. The entry concludes with a section on ethical considerations of unobtrusive data collection and analysis.

Indirect Data Collection

To avoid the possibility of the presence of a researcher interfering with the human behavior of the research participants, a number of indirect data collection methods may be employed. For example, if a researcher would like to measure the effectiveness of communication approaches for wait staff within a restaurant, the servers could each be coached in a particular approach. Then following the experiment, the amount tipped for the servers could be calculated and compared.

Another commonly used indirect collection method is using undetectable recording devices and tools to record human interactions, which are later analyzed by the researcher. This approach may be controversial, as it is common practice for all research participants to be willing and aware of participation in a research experiment. In addition, legal and ethical considerations must be assessed prior to recording any human interaction (this is expanded upon in a later section).

The nature of indirect data collection is to collect data without the participants’ knowledge. Although the goal of this is to obtain data that are free of bias introduced due to participant knowledge, participants have a right to privacy. Some information may be considered public and therefore not subject to privacy laws or regulations. However, a researcher is often still required to obtain a signed consent form prior to analyzing or using any data collected during the experiment.

Analyzing Existing Documents

A common approach to unobtrusive research methods is through content analysis. The content used for such analysis comes from existing documents, such as newspaper articles or organizational documents. The content can be analyzed quantitatively or qualitatively through thematic analysis, indexing, or quantitative description analysis, and other methods.

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