When measuring health inequality using ordinal data, analysts typically must choose between indices specifically based … upon ordinal data and more standard indices using ordinal data which has been transformed into cardinal data. This paper … ordinal and cardinal based indices. There is relatively little sensitivity to the ethical choices made by the analyst in terms …

descriptive analysis or linear regressions-ignores that the underlying collected well-being information is ordinal. If the well …-being function is ordinal, then monotonic transformations are allowed. We demonstrate that treating ordinal data by methods intended … under which the use of cardinal method to an ordinal variable gives an illusionary sense of robustness, while in fact one …

descriptive analysis or linear regressions-ignores that the underlying collected well-being information is ordinal. If the well …-being function is ordinal, then monotonic transformations are allowed. We demonstrate that treating ordinal data by methods intended … under which the use of cardinal method to an ordinal variable gives an illusionary sense of robustness, while in fact one …

goodness-of-fit strategy, Ordinal Pattern Analysis (OPA) that will (we argue) be more appropriate for judging the goodness …-of-fit of simulations in many situations. OPA is based on matches and mismatches among the ordinal properties of predictions and … validity of competing simulations. We provide examples to illustrate how OPA can be employed to assess the ordinal fit and …