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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 ...
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.
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]
Quantitative psychological research findings result from mathematical modeling and statistical estimation or statistical inference. The two types of research differ in the methods employed, rather than the topics they focus on. There are three main types of psychological research: Correlational research; Descriptive research; Experimental research
In qualitative research, the idea of recursivity refers to the emergent nature of research design. In contrast to standardized research methods, recursivity embodies the idea that the qualitative researcher can change a study's design during the data collection phase. [12] Recursivity in qualitative research procedures contrasts to the methods ...
Meta-research is the study of research through the use of research methods. Also known as "research on research", it aims to reduce waste and increase the quality of research in all fields. Meta-research concerns itself with the detection of bias, methodological flaws, and other errors and inefficiencies.
Repeated measures design: A research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [1] Paired t-test, Wilcoxon signed-rank test