Naturalistic observation in the context of Observational study


Naturalistic observation in the context of Observational study

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⭐ Core Definition: Naturalistic observation

Naturalistic observation, sometimes referred to as fieldwork, is a valuable form of empirical data collection in research methodology across numerous fields of science (including ethology, anthropology, linguistics, social sciences, and psychology) in which data are collected as they occur in nature, without any manipulation by the observer. Examples range from watching an animal's eating patterns in the forest to observing the behavior of students in a school setting. During naturalistic observation, researchers take great care using unobtrusive methods to avoid interfering with the behavior they are observing. Naturalistic observation contrasts with analog observation in an artificial setting that is designed to be an analog of the natural situation, constrained so as to eliminate or control for effects of any variables other than those of interest. There is similarity to observational studies in which the independent variable of interest cannot be experimentally controlled for ethical or logistical reasons.

Naturalistic observation has both advantages and disadvantages as a research methodology. Observations are more credible because the behavior occurs in a real, typical scenario as opposed to an artificial one generated within a lab. Behavior that could never occur in controlled laboratory environment can lead to new insights. Naturalistic observation also allows for study of events that are deemed unethical to study experimentally, such as the impact of high school shootings on students attending the high school. However, because extraneous variables cannot be controlled as in a laboratory, it is difficult to replicate findings and demonstrate their reliability. In particular, if subjects know they are being observed they may behave differently than otherwise. It may be difficult to generalize findings of naturalistic studies beyond the observed situations.

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Naturalistic observation in the context of Experimental design

The design of experiments (DOE), also known as experiment design or experimental design, is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation. The term is generally associated with experiments in which the design introduces conditions that directly affect the variation, but may also refer to the design of quasi-experiments, in which natural conditions that influence the variation are selected for observation.

In its simplest form, an experiment aims at predicting the outcome by introducing a change of the preconditions, which is represented by one or more independent variables, also referred to as "input variables" or "predictor variables." The change in one or more independent variables is generally hypothesized to result in a change in one or more dependent variables, also referred to as "output variables" or "response variables." The experimental design may also identify control variables that must be held constant to prevent external factors from affecting the results. Experimental design involves not only the selection of suitable independent, dependent, and control variables, but planning the delivery of the experiment under statistically optimal conditions given the constraints of available resources. There are multiple approaches for determining the set of design points (unique combinations of the settings of the independent variables) to be used in the experiment.

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