Ads
related to: compare inter rater reliability measures for construction loans and mortgage
Search results
Results From The WOW.Com Content Network
In statistics, inter-rater reliability (also called by various similar names, such as inter-rater agreement, inter-rater concordance, inter-observer reliability, inter-coder reliability, and so on) is the degree of agreement among independent observers who rate, code, or assess the same phenomenon.
Cohen's kappa measures the agreement between two raters who each classify N items into C mutually exclusive categories. The definition of is =, where p o is the relative observed agreement among raters, and p e is the hypothetical probability of chance agreement, using the observed data to calculate the probabilities of each observer randomly selecting each category.
Bennett et al. suggested adjusting inter-rater reliability to accommodate the percentage of rater agreement that might be expected by chance was a better measure than simple agreement between raters. [2] They proposed an index which adjusted the proportion of rater agreement based on the number of categories employed.
Fleiss' kappa is a generalisation of Scott's pi statistic, [2] a statistical measure of inter-rater reliability. [3] It is also related to Cohen's kappa statistic and Youden's J statistic which may be more appropriate in certain instances. [4]
The final page of the loan estimate lists more important details of your mortgage agreement, like the names of the lender and the loan officer, plus three key figures you can use for comparison ...
Reverse mortgage. Construction loan ... by more than 6.5 percentage points for a first-lien loan (a primary mortgage or refi of a ... the borrower to compare the final terms of the closing ...