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Traill (2008, espec.Table "S" on p.31) follows Jerne and Popper in seeing this strategy as probably underlying all knowledge-gathering systems — at least in their initial phase.
The standard test involves the recall period starting immediately after the final list item; this can be referred to as immediate free recall (IFR) to distinguish it from delayed free recall (DFR). In delayed free recall, there is a short distraction period between the final list item and the start of the recall period.
Psychologists have been interested in the factors that are important in behavior change and control since psychology emerged as a discipline. One of the first principles associated with learning and behavior was the Law of Effect, which states that behaviors that lead to satisfying outcomes are likely to be repeated, whereas behaviors that lead ...
A cued recall test is a procedure for testing memory in which a participant is presented with cues, such as words or phrases, to aid recall of previously experienced stimuli. [1]: 182 Endel Tulving and Zena Pearlstone (1966) conducted an experiment in which they presented participants with a list of words to be remembered. The words were from ...
The Simon effect is the difference in accuracy or reaction time between trials in which stimulus and response are on the same side and trials in which they are on opposite sides, with responses being generally slower and less accurate when the stimulus and response are on opposite sides.
The errorless learning procedure is highly effective in reducing the number of responses to the S− during training. In Terrace's (1963) experiment, subjects trained with the conventional discrimination procedure averaged over 3000 S− (errors) responses during 28 sessions of training; whereas subjects trained with the errorless procedure averaged only 25 S− (errors) responses in the same ...
The concept has been widely employed as a metaphor in business, dating back to at least 2001. [5] It is widely used in the technology and pharmaceutical industries. [2] [3] It became a mantra and badge of honor within startup culture and particularly within the technology industry and in the United States' Silicon Valley, where it is a common part of corporate culture.
The general idea is that, the higher reliability is, the better. Classical test theory does not say how high reliability is supposed to be. Too high a value for , say over .9, indicates redundancy of items. Around .8 is recommended for personality research, while .9+ is desirable for individual high-stakes testing. [4]