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Descriptive science is a category of science that involves descriptive research; that is, observing, recording, describing, and classifying phenomena.Descriptive research is sometimes contrasted with hypothesis-driven research, which is focused on testing a particular hypothesis by means of experimentation.
The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type (e.g., descriptive-longitudinal case study), research problem, hypotheses, independent and dependent variables, experimental design, and, if applicable, data collection methods and a statistical analysis ...
Case series have a descriptive study design; unlike studies that employ an analytic design (e.g. cohort studies, case-control studies or randomized controlled trials), case series do not, in themselves, involve hypothesis testing to look for evidence of cause and effect (though case-only analyses are sometimes performed in genetic epidemiology ...
The descriptive phenomenological method in psychology [1] [2] was developed by the American psychologist Amedeo Giorgi in the early 1970s. Giorgi based his method on principles laid out by philosophers like Edmund Husserl and Maurice Merleau-Ponty as well as what he had learned from his prior professional experience in psychophysics. [ 3 ]
Descriptive psychology is primarily a conceptual framework for the science of psychology.Created in its original form by Peter G. Ossorio at the University of Colorado at Boulder in the mid-1960s, [1] [2] it has subsequently been applied to domains such as psychotherapy, [3] artificial intelligence, [4] [5] organizational communities, [6] spirituality, [7] research methodology, [8] and theory ...
Phenomenological description has found widespread application within psychology and the cognitive sciences. For example, Maurice Merleau-Ponty is the first well known phenomenologist to openly mingle the results of empirical research with phenomenologically descriptive research.
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A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information, [1] while descriptive statistics (in the mass noun sense) is the process of using and analysing those statistics.