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Scale analysis (statistics)
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Scale analysis (statistics) : ウィキペディア英語版
Scale analysis (statistics)
In statistics, scale analysis is a set of methods to analyse survey data, in which responses to questions are combined to measure a latent variable. These items can be dichotomous (e.g. yes/no, agree/disagree, correct/incorrect) or polytomous (e.g. disagree strongly/disagree/neutral/agree/agree strongly). Any measurement for such data is required to be reliable, valid, and homogeneous with comparable results over different studies.
==Constructing scales==

The item-total correlation approach is a way of identifying a group of questions whose responses can be combined together into a single measure or scale. This is a simple approach that works by ensuring that, when considered across a whole population, responses to the questions in the group tend to vary together and, in particular, that responses to no individual question are poorly related to an average calculated from the others.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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