English term
polychoric correlations
were imputed through multiple imputation procedures using the EM
algorithm. The correlations indicate an association between preschool
participation, educational attainment by age 21, and health compromising
behavior and depressive symptoms in adulthood. Polychoric correlations
using imputed data for the ABC, CPC, and PPP studies are included
in Tables 10.3, 10.4, and 10.5, respectively. Preschool participation was
significantly correlated with highest grade completed at age 21 and two or
more health compromising behaviors for all three studies.
Mar 21, 2017 13:24: Enrique Cavalitto changed "Level" from "Non-PRO" to "PRO"
PRO (2): ProZAli, Murad AWAD
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Proposed translations
علاقة متتالية : علاقة تقيس التوافق بين معدلات مختلفة مقابل أعداد تراتبية أي علاقة تظهر النتيجة بشكل س×ع
ارتباط الأقسام المتعددة
وشائج تراتبية متعددة
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.
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