Observation

Ethnography: How Observer Inconsistency Impacts Quality Outcomes

The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp. 212-213).

To safeguard the Credibility of the data generated from ethnographic research, it is Observer inconsistencyimportant that the observer conduct observations in a manner that does not vary greatly across observation events. Regardless of the nonparticipant or participant role (overt or covert), the observer must be trained to understand why consistency matters and how inconsistency may result in unacceptable levels of unwarranted variation in the data.

Maintaining consistency can present a particular challenge in ethnography, where the unpredictability of naturally occurring events can make it difficult to maintain constant focus on the key elements related to the research objectives. Although the participants and the specific activities themselves will change from observation event to observation event, it is critical to the quality of data gathering that, for each observation, the observer concentrates on identifying and recording the behaviors, conversations, contextual factors, and other elements pertaining to the priority areas of observation (determined in the research design phase) and constructs of interest.

For example, in an in-person study to observe the use of a recreational park area among community residents on various days and times of the week, the observer must give deliberate attention to each component of the park relevant to the research objectives. If the observer focuses their observation on the children’s playground on some days, the soccer field on other days, and occasionally on the hiking trails, the research results will fail to provide a realistic assessment of residents’ use of the community park.

Although the ever-changing, unpredictable nature of ethnography—and its ability to challenge the observer’s attention to key variables—is a leading cause of inconsistent data collection, the quality of an observer’s observation may also vary due to inadequate training or personal reasons such as sickness or fatigue. Regardless of the cause, the ethnographer should strive for consistency across all observations by making sure that observers understand and are trained on the following:

  • Research objectives, including background information on the topic and how the results of the research will be used.
  • Specific areas or elements of observation that are prioritized, including the rationale for their priority status.
  • Specific constructs or issues that are prioritized, including the rationale for their priority status.
  • Observation grid, including how it is designed to be used (as both a recording and a reflexive device), how to complete the grid, and how to add important but unanticipated observational components to the grid.
  • Types of observation sites the observer will be working in and how identifying the particular elements of observations of interest may be difficult in some instances—for example, observing a hiking trail at the community park may be narrow and congested—requiring the observer to work rigorously to stay alert and, in addition to taking in the scene as a whole, be ever mindful of the key elements in the observations related to the research objectives.
  • Ways to deal with stress and fatigue on the job.

 

Roller, M. R., & Lavrakas, P. J. (2015). Applied qualitative research design: A total quality framework approach. New York: Guilford Press.

Ethnography & the Observation Method: 15 Articles on Design, Implementation, & Uses

“Ethnography & the Observation Method” is a compilation Ethnography & the Observation Methodthat includes a selection of 15 articles appearing in Research Design Review from 2013 to 2021. There are certainly many other articles in RDR that are relevant to ethnography and the observation method — such as those having to do with multiple methods, e.g., A Multi-method Approach in Qualitative Research, and a quality approach to design, e.g., Quality Frameworks in Qualitative Research, and transparency, e.g., Reporting Qualitative Research: A Model of Transparency — however, the 15 articles chosen for this compilation  are specific to this method. It is hoped that this brief text will be useful to the student, the teacher, and the researcher who is interested in furthering their consideration of a quality approach to designing and conducting ethnographic studies.

“Ethnography & the Observation Method: 15 Articles on Design, Implementation, & Uses” is available for download here.

Five similar compilations, devoted to particular methods or techniques, are also available:

“Reflexivity: 10 Articles on the Role of Reflection in Qualitative Research” is available for download here.

“The Focus Group Method: 18 Articles on Design & Moderating” is available for download here.

“The In-depth Interview Method: 12 Articles on Design & Implementation” is available for download here.

“Qualitative Data Analysis: 16 Articles on Process & Method” is available for download here.

“Qualitative Research: Transparency & Reporting” is available for download here.

Supporting Observational Research

The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp. 217-219) which is a qualitative methods text covering in-depth interviews, focus group discussions, ethnography, qualitative content analysis, case study, and narrative research.

An important element in the Total Quality Framework Analyzability component is Verification, i.e., taking steps to establish some level of support for the data gathered in order to move the researcher closer to achieving high quality outcomes. The verificationSupporting qualitative data tools at the ethnographer’s disposal go beyond those identified for the in-depth interview (IDI) and group discussion methods in that they include the technique of expanded observation. For example, Lincoln and Guba (1985) stated that it is “more likely that credible findings and interpretations” will come from ethnographic data with “prolonged engagement” in the field and “persistent observation” (p. 301). The former refers to spending adequate time at an observation site to experience the breadth of stimuli and activities relevant to the research, and the purpose of the latter (i.e., persistent observation) is “to identify those characteristics and elements in the situation that are most relevant to the problem or issue” (p. 304)—that is, to provide a depth of understanding of the “salient factors.” Both prolonged engagement and persistent observation speak to the idea of expanding observation in terms of time as well as diligence in exploring variables as they emerge in the observation. Although expanding observations in this way may be unrealistic due to the realities of deadlines and research funding, it is an important verification approach unique to ethnography. When practicable, it is recommended that researchers maximize the time allotted for observation and train observers to look for the unexpected or examine more closely seemingly minor occurrences or variables that may ultimately support (or contradict) the observer’s dominant understanding.

The ultimate usefulness of expanded observation is not unlike deviant or negative case analysis (see earlier link). In both instances, the goal is to identify and investigate observational events (or particular variables in these events) that defy explanation or otherwise contradict the general patterns or themes that appear to be emerging from the data. For example, a researcher conducting in-home nonparticipant observations of young mothers Read Full Text