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Scale analysis (statistics)

In statistics, scale analysis is a set of methods to analyze 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 edit

The item-total correlation approach is a way of identifying a group of questions whose responses can be combined 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.

Measurement models edit

Measurement is the assignment of numbers to subjects in such a way that the relations between the objects are represented by the relations between the numbers (Michell, 1990).

Traditional models edit

Modern models based on Item response theory edit

Other models edit

References edit

  • Michell, J (1990). An Introduction to the logic of Psychological Measurement. Hillsdales, NJ: Lawrences Erlbaum Associates Publ.


scale, analysis, statistics, statistics, scale, analysis, methods, analyze, survey, data, which, responses, questions, combined, measure, latent, variable, these, items, dichotomous, agree, disagree, correct, incorrect, polytomous, disagree, strongly, disagree. In statistics scale analysis is a set of methods to analyze 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 Contents 1 Constructing scales 2 Measurement models 2 1 Traditional models 2 2 Modern models based on Item response theory 2 3 Other models 3 ReferencesConstructing scales editThe item total correlation approach is a way of identifying a group of questions whose responses can be combined 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 Measurement models editMeasurement is the assignment of numbers to subjects in such a way that the relations between the objects are represented by the relations between the numbers Michell 1990 Traditional models edit Likert scale Semantic differential Osgood scale Reliability analysis see also Classical test theory and Cronbach s alpha Factor analysisModern models based on Item response theory edit Guttman scale Mokken scale Rasch model Circular Unfolding analysis Circumplex modelOther models edit Latent class analysis Multidimensional scaling NOMINATE scaling method References editMichell J 1990 An Introduction to the logic of Psychological Measurement Hillsdales NJ Lawrences Erlbaum Associates Publ nbsp This statistics related article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Scale analysis statistics amp oldid 1046385165, wikipedia, wiki, book, books, library,

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