Search results
Results from the WOW.Com Content Network
This field is central to much quantitative research that is undertaken within the social sciences. Quantitative research may involve the use of proxies as stand-ins for other quantities that cannot be directly measured. Tree-ring width, for example, is considered a reliable proxy of ambient environmental conditions such as the warmth of growing ...
Qualitative research (5 C, 58 P) Quantitative research (5 C, 32 P) R. Research methods journals (1 C, 15 P) S. Science experiments (13 C, 28 P)
A list of articles relating to quantitative research methods. This category is often contrasted with qualitative research . Wikimedia Commons has media related to Quantitative research .
Methodologies are traditionally divided into quantitative and qualitative research. Quantitative research is the main methodology of the natural sciences. It uses precise numerical measurements. Its goal is usually to find universal laws used to make predictions about future events.
Quantitative analysis also takes a deductive approach. [8] Examples of content-analytical variables and constructs can be found, for example, in the open-access database DOCA. This database compiles, systematizes, and evaluates relevant content-analytical variables of communication and political science research areas and topics.
A rating scale is a set of categories designed to obtain information about a quantitative or a qualitative attribute. In the social sciences, particularly psychology, common examples are the Likert response scale and 0-10 rating scales, where a person selects the number that reflecting the perceived quality of a product.
Within social science research and practice, questionnaires are most frequently used to collect quantitative data using multi-item scales with the following characteristics: [8] Multiple statements or questions (minimum ≥3; usually ≥5) are presented for each variable being examined.
The ease of quantification is one of the features used to distinguish hard and soft sciences from each other. Scientists often consider hard sciences to be more scientific or rigorous, but this is disputed by social scientists who maintain that appropriate rigor includes the qualitative evaluation of the broader contexts of qualitative data.