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Descriptive research generally precedes explanatory research. For example, over time the periodic table's description of the elements allowed scientists to explain chemical reaction and make sound prediction when elements were combined. Hence, descriptive research cannot describe what caused a situation. Thus, descriptive research cannot be ...
A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...
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 ...
According to the authors, a strong research design requires both qualitative and quantitative research, a research question that poses an important and real question that will contribute to the base of knowledge about this particular subject, and a comprehensive literature review from which hypotheses (theory-driven) are then drawn.
In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. [1] Results from probability theory and statistical theory are employed to guide the practice. In business and medical research, sampling is widely used for gathering information about a population. [2]
When a sample consists of more than one variable, descriptive statistics may be used to describe the relationship between pairs of variables. In this case, descriptive statistics include: Cross-tabulations and contingency tables; Graphical representation via scatterplots; Quantitative measures of dependence; Descriptions of conditional ...
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.
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