polychoric correlations
Arabic translation: علاقة متتالية : علاقة تقيس التوافق بين معدلات مختلفة مقابل أعداد تراتبية أي علاقة تظهر النتيجة بشكل س×ع
| 16:15 Mar 18, 2017 |
| English to Arabic translations [PRO] Science - Mathematics & Statistics / statistics | |||||
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|  Selected response from: Nassar Aljuratli Germany Local time: 10:34 | ||||
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علاقة متتالية : علاقة تقيس التوافق بين معدلات مختلفة مقابل أعداد تراتبية أي علاقة تظهر النتيجة بشكل س×ع Explanation: Polychoric correlation measures agreement between multiple raters for ordinal variables (sometimes called “ordered-category” data). Ordinal variables can be placed in order, but can’t be divided or multiplied. For example: a person’s level of depression. |
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ارتباط الأقسام المتعددة Explanation: In statistics, polychoric correlation is a technique for estimating the correlation between two theorised normally distributed continuous latent variables, from two observed ordinal variables. Reference: http://dar.bibalex.org/webpages/mainpage.jsf?PID=DAF-Job:184... https://en.wikipedia.org/wiki/Polychoric_correlation |
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3 hrs confidence:
وشائج تراتبية متعددة Explanation: What is Polychoric Correlation? Polychoric correlation measures agreement between multiple raters for ordinal variables (sometimes called “ordered-category” data). Ordinal variables can be placed in order, but can’t be divided or multiplied. For example: a person’s level of depression, their level of disagreement or agreement, or how much they value possessions. Calculating Polychoric Correlation The polcyhoric coefficient was renowned in history for being difficult to calculate and involved calculus. The term “polychoric correlation” actually refers to a pre-computing table method using the polychoric series. The tables, developed by Karl Pearson, made the process a little easier but it’s now unusual to perform the calculation by hand; Software is almost always used and the calculations are made using the maximum likelihood method, not tables. Most statistical software has an option to find the coefficient. The input is usually a n*m contingency table. Reference: http://www.statisticshowto.com/polychoric-correlation/ |
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