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Observational research is a method of data collection that has become associated with qualitative research. [1] Compared with quantitative research and experimental research, observational research tends to be less reliable but often more valid [citation needed]. The main advantage of observational research is flexibility.
Observational methods in psychological research entail the observation and description of a subject's behavior. Researchers utilizing the observational method can exert varying amounts of control over the environment in which the observation takes place.
Anthropological survey paper from 1961 by Juhan Aul from University of Tartu who measured about 50 000 people. In fields such as epidemiology, social sciences, psychology and statistics, an observational study draws inferences from a sample to a population where the independent variable is not under the control of the researcher because of ethical concerns or logistical constraints.
Common research designs and data collection methods include: Archival research; Case study uses different research methods (e.g. interview, observation, self-report questionnaire) with a single case or small number of cases. Computer simulation (modeling) Ethnography; Event sampling methodology, also referred to as experience sampling ...
Observational research, (a type of non-experimental, correlational research), involves the researcher observing the ongoing behavior of their subjects. [11] There are multiple methods of observational research such as participant observations, non-participant observations and naturalistic observations. [11]
Participant observation is one type of data collection method by practitioner-scholars typically used in qualitative research and ethnography.This type of methodology is employed in many disciplines, particularly anthropology (including cultural anthropology and ethnology), sociology (including sociology of culture and cultural criminology), communication studies, human geography, and social ...
The goal of matching is to reduce bias for the estimated treatment effect in an observational-data study, by finding, for every treated unit, one (or more) non-treated unit(s) with similar observable characteristics against which the covariates are balanced out (similar to the K-nearest neighbors algorithm).
Observational data forms the foundation of a significant body of knowledge. Observation is a method of data collection and falls into the category of qualitative research techniques. There are a number of benefits of observation, including its simplicity as a data collection method and its usefulness for hypotheses.