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Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning".
Larry English prefers the term "characteristics" to dimensions. [6] In fact, a considerable amount of information quality research involves investigating and describing various categories of desirable attributes (or dimensions) of data. Research has recently shown the huge diversity of terms and classification structures used. [7]
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. Among the finding of meta-research is a low rates of reproducibility across a large number of fields. [47]
Perceived Quality: the quality attributed to a good or service based on indirect measures. Some of the dimensions are mutually reinforcing, although others are not: improvement in one may be secured at the expense of others. Understanding the trade-offs desired by customers among these dimensions can help build a competitive advantage.
In science and research, an attribute is a quality of an object (person, thing, etc.). [1] Attributes are closely related to variables. A variable is a logical set of attributes. [1] Variables can "vary" – for example, be high or low. [1]
Within systems engineering, quality attributes are realized non-functional requirements used to evaluate the performance of a system. These are sometimes named architecture characteristics, or "ilities" after the suffix many of the words share.
The dependence tree between software quality characteristics and their measurable attributes is represented in the diagram on the right, where each of the 5 characteristics that matter for the user (right) or owner of the business system depends on measurable attributes (left):
SERVQUAL is a multidimensional research instrument designed to measure service quality by capturing respondents' expectations and perceptions along five dimensions of service quality. [2] The questionnaire consists of matched pairs of items - 22 expectation items and 22 perceptions items - organised into five dimensions which are believed to ...