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Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.
[4] [30] Depending on the type and depth of the interview, this method belongs either to quantitative or to qualitative research. [30] [4] The terms research conversation [79] and muddy interview [80] have been used to describe interviews conducted in informal settings which may not occur purely for the purposes of data collection. Some ...
Choosing a research question is the central element of both quantitative and qualitative research and in some cases it may precede construction of the conceptual framework of study; in all cases, it makes the theoretical assumptions in the framework more explicit and indicates what the researcher wants to know most and first.
Questionnaires are frequently used in quantitative marketing research and social research. They are a valuable method of collecting a wide range of information from a large number of individuals, often referred to as respondents. What is often referred to as "adequate questionnaire construction" is critical to the success of a survey ...
Quantitative research is concerned with testing hypotheses derived from theory or being able to estimate the size of a phenomenon of interest. [42] If the research question is about people, participants may be randomly assigned to different treatments (this is the only way that a quantitative study can be considered a true experiment).
In some fields, quantitative research may begin with a research question (e.g., "Does listening to vocal music during the learning of a word list have an effect on later memory for these words?") which is tested through experimentation. Usually, the researcher has a certain theory regarding the topic under investigation.
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies.
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.