Observational Experiments PDF

Running head: EXPERIMENTAL STUDIES
Observational experiments
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EXPERIMENTAL STUDIES1
Introduction to Observational Experiments
Observational experiments draw inferences about the impact of an "exposure" or
interference on subjects whereby the investigator watches rather than manipulates the assigning
of participants to classes (for example, by randomisation). The empirical observation of people
in their natural environment requires observational work. As such, individual preferences,
patterns of behavior or policy decisions are dictated by who accepts an experiment or not. It is
therefore necessary for observational research readers to consider that possible causes for the
results of the study to arise. Information for observational studies are either obtained from the
researchers for study purposes (primary statistics) or gathered for other purposes, but they are
used by the researchers to study a new research issue (secondary statistics). The significant trade-
offs in time, money and management of research variables between primary and secondary data
use (Mamdani., et al).
Cross-Sectional Study
A cross-sectional analysis is a sample that concurrently decides access and outcomes for
each subject. It is frequently referred to as a "snapshot" of a group of people. Cross-sectional
experiments are suitable for screening theories as they need comparatively less time and less
money to be carried out (Rothman., et al).
Cross-sectional study has been extensively used in studies of palliative care. Diversity of
symptoms, procedures, programs or other effects, and the factors related to these outcomes, have
been evaluated through the cross-sectional studies method. The cross-sectional scope of the
research has been an important way of assessing a large number of hospice patients, identifying
the prevalence of specific services and creating theories of why service provision may be