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Serial-position effect is the tendency of a person to recall the first and last items in a series best, and the middle items worst. [1] The term was coined by Hermann Ebbinghaus through studies he performed on himself, and refers to the finding that recall accuracy varies as a function of an item's position within a study list. [ 2 ]
Like the forgetting curve, the learning curve is exponential. Ebbinghaus had also documented the serial position effect, which describes how the position of an item affects recall. The two main concepts in the serial position effect are recency and primacy.
There are three main types of recall: free recall, cued recall and serial recall. Psychologists test these forms of recall as a way to study the memory processes of humans [ 1 ] and animals. [ 2 ] Two main theories of the process of recall are the two-stage theory and the theory of encoding specificity .
Serial memory processing is the act of attending to and processing one item at a time. This is usually contrasted against parallel memory processing, which is the act ...
Experiments have shown that in comparison to free recall, the serial recall learning curve increases linearly with the number of trials. The purpose of a study by Bruner, Miller, and Zimmerman (1955) was to determine if this learning difference is a result of the order in which the participant sees the items, or if it is instead dependent on ...
Autocorrelation, sometimes known as serial correlation in the discrete time case, is the correlation of a signal with a delayed copy of itself as a function of delay. Informally, it is the similarity between observations of a random variable as a function of the time lag between them.
The body of the article is very well comprised. The section on the primacy effect accurately describes the term and what role it plays in the serial-position effect. In addition, the recency effect section in the body of the article follows a same relevance and support to the reader in understanding the initial term for which the article was ...
Curve fitting [12] [13] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [14] possibly subject to constraints. [ 15 ] [ 16 ] Curve fitting can involve either interpolation , [ 17 ] [ 18 ] where an exact fit to the data is required, or smoothing , [ 19 ] [ 20 ] in which a "smooth ...