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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 ...
Rational analysis is a theoretical framework, methodology, and research program in cognitive science that has been developed by John Anderson. [1] [2] The goal of rational analysis as a research program is to explain the function and purpose of cognitive processes and to discover the structure of the mind.
Exclusion criteria concern properties of the study sample, defining reasons for which patients from the target population are to be excluded from the current study sample. Typical exclusion criteria are defined for either ethical reasons (e.g., children, pregnant women, patients with psychological illnesses, patients who are not able or willing ...
For example, classical economics is based on the assumption that people are rational agents that maximize expected utility. However, people often depart from the ideal standards of rationality in various ways. For example, they may only look for confirming evidence and ignore disconfirming evidence. Another factor studied in this regard are the ...
As the study of argument is of clear importance to the reasons that we hold things to be true, logic is of essential importance to rationality. Arguments may be logical if they are "conducted or assessed according to strict principles of validity", [1] while they are rational according to the broader requirement that they are based on reason and knowledge.
For example, a thermometer will not display different temperatures for each individual who observes it. Temperature, as measured by an accurate, well calibrated thermometer, is empirical evidence. By contrast, non-empirical evidence is subjective, depending on the observer.
[1] [2] The rationale is that combining different outcome measures gives greater statistical power. For example, the composite measure "Killed or Seriously Injured" is often used in studies of road safety. While deaths are easier to count and are an outcome of undisputed importance, they are also much fewer than the number seriously injured ...
A design rationale is the explicit listing of decisions made during a design process, and the reasons why those decisions were made. [2] Its primary goal is to support designers by providing a means to record and communicate the argumentation and reasoning behind the design process. [3]