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Posted: February 19th, 2022

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Within subject design are used during an experiment by exposing each participant to more than one part of experiment (Myers & Hansen, 2012). It is used when a researcher wants to test for multiple factors. Between subject design uses different participants for each part of the experiment (Myers & Hansen, 2012). This design is used when a researcher to test multiple factors at once and it normally allows the study to be ran in less time. Large N designs are widely used for experiments when testing a number of subjects because it uses participants for each condition and cross-examining groups. This design is used for a larger group of people (Myers & Hanson, 2012). While Small n designs are used when tests a single subject or a couple of subjects (Myers & Hansen, 2012). Use of Large N design is useful for finding trends because it uses data collected from many subjects. Small n design can take place over the course of many years and the participants are often tested multiple times a year (Myers & Hanson, 2012). Within subject designs are useful when studies want to test a lot of people in a short period of time. Large N designs are chosen when a need to generalization.

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During an experiment, subject design is applied by exposing each participant to more than one element of the experiment (Myers & Hansen, 2012). When a researcher wants to test for numerous variables, he or she will utilize this method. Different volunteers are used for each section of the experiment in the between subject design (Myers & Hansen, 2012). This design is employed when a researcher wants to examine numerous variables at the same time, and it usually allows the study to be completed in less time. Because it uses participants for each condition and cross-examining groups, large N designs are commonly utilized for investigations when testing a large number of people. This layout is intended for a larger gathering of individuals (Myers & Hanson, 2012). When testing a single subject, Small n designs are employed.

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