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For example, when primed with the word "bank," the left hemisphere would be bias to define it as a place where money is stored, while the right hemisphere might define it as the shore of a river. The right hemisphere may extend this and may also associate the definition of a word with other words that are related.
The generation effect is typically achieved in cognitive psychology experiments by asking participants to generate words from word fragments. [2] This effect has also been demonstrated using a variety of other materials, such as when generating a word after being presented with its antonym, [3] synonym, [1] picture, [4] arithmetic problems, [2] [5] or keyword in a paragraph. [6]
A leading question is a question that suggests a particular answer and contains information the examiner is looking to have confirmed. [1] The use of leading questions in court to elicit testimony is restricted in order to reduce the ability of the examiner to direct or influence the evidence presented. Depending on the circumstances, leading ...
Ψ , the first letter of the Greek word psyche from which the term psychology is derived, is commonly associated with the field of psychology. In 1890, William James defined psychology as "the science of mental life, both of its phenomena and their conditions." [14] This definition enjoyed widespread currency for decades.
Overconfidence effect, a tendency to have excessive confidence in one's own answers to questions. For example, for certain types of questions, answers that people rate as "99% certain" turn out to be wrong 40% of the time. [5] [44] [45] [46] Planning fallacy, the tendency for people to underestimate the time it will take them to complete a ...
A model of the mental lexicon adapted from Stille et al. (2020) In the sample model of the mental lexicon pictured to the right, the mental lexicon is split into three parts under a hierarchical structure: the concept network (semantics), which is ranked above the lemma network (morphosyntax), which in turn is ranked above the phonological network.
The task is to identify the word that connects these three seemingly unrelated ones. In this example, the answer is salt. The link between words is associative, and does not follow rules of logic, concept formation or problem solving, and thus requires the respondent to work outside of these common heuristical constraints.
The implicit association test is a testing method designed by Anthony Greenwald, Debbie McGhee and Jordan Schwartz, and was first introduced in 1998. [2] The IAT measures the associative strength between categories (e.g. Bug, Flower) and attributes (e.g. Bad, Good) by having participants rapidly classify stimuli that represent the categories and attributes of interest on a computer. [3]