uu.seUppsala University Publications

CiteExport$(function(){PrimeFaces.cw("TieredMenu","widget_formSmash_upper_j_idt159",{id:"formSmash:upper:j_idt159",widgetVar:"widget_formSmash_upper_j_idt159",autoDisplay:true,overlay:true,my:"left top",at:"left bottom",trigger:"formSmash:upper:exportLink",triggerEvent:"click"});}); $(function(){PrimeFaces.cw("OverlayPanel","widget_formSmash_upper_j_idt160_j_idt163",{id:"formSmash:upper:j_idt160:j_idt163",widgetVar:"widget_formSmash_upper_j_idt160_j_idt163",target:"formSmash:upper:j_idt160:permLink",showEffect:"blind",hideEffect:"fade",my:"right top",at:"right bottom",showCloseIcon:true});});

On the relation between the *phi*-coefficient and the tetrachoric correlation coefficientPrimeFaces.cw("AccordionPanel","widget_formSmash_some",{id:"formSmash:some",widgetVar:"widget_formSmash_some",multiple:true}); PrimeFaces.cw("AccordionPanel","widget_formSmash_all",{id:"formSmash:all",widgetVar:"widget_formSmash_all",multiple:true});
function selectAll()
{
var panelSome = $(PrimeFaces.escapeClientId("formSmash:some"));
var panelAll = $(PrimeFaces.escapeClientId("formSmash:all"));
panelAll.toggle();
toggleList(panelSome.get(0).childNodes, panelAll);
toggleList(panelAll.get(0).childNodes, panelAll);
}
/*Toggling the list of authorPanel nodes according to the toggling of the closeable second panel */
function toggleList(childList, panel)
{
var panelWasOpen = (panel.get(0).style.display == 'none');
// console.log('panel was open ' + panelWasOpen);
for (var c = 0; c < childList.length; c++) {
if (childList[c].classList.contains('authorPanel')) {
clickNode(panelWasOpen, childList[c]);
}
}
}
/*nodes have styleClass ui-corner-top if they are expanded and ui-corner-all if they are collapsed */
function clickNode(collapse, child)
{
if (collapse && child.classList.contains('ui-corner-top')) {
// console.log('collapse');
child.click();
}
if (!collapse && child.classList.contains('ui-corner-all')) {
// console.log('expand');
child.click();
}
}
PrimeFaces.cw("AccordionPanel","widget_formSmash_responsibleOrgs",{id:"formSmash:responsibleOrgs",widgetVar:"widget_formSmash_responsibleOrgs",multiple:true}); (English)Manuscript (Other academic)
##### Abstract [en]

##### Keyword [en]

phi-coefficient, tetrachoric correlation coefficient, 2 x 2 contingency table, measure of association, dichotomous variables
##### National Category

Probability Theory and Statistics
##### Research subject

Statistics
##### Identifiers

URN: urn:nbn:se:uu:diva-100692OAI: oai:DiVA.org:uu-100692DiVA, id: diva2:210881
#####

PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt456",{id:"formSmash:j_idt456",widgetVar:"widget_formSmash_j_idt456",multiple:true});
#####

PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt462",{id:"formSmash:j_idt462",widgetVar:"widget_formSmash_j_idt462",multiple:true});
#####

PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt468",{id:"formSmash:j_idt468",widgetVar:"widget_formSmash_j_idt468",multiple:true});
Available from: 2009-04-06 Created: 2009-04-06 Last updated: 2011-03-29Bibliographically approved
##### In thesis

We show existence of a continuous bijection between the tetrachoric correlation coefficient and the phi-coefficient under given marginal probabilities. Implications are that the tetrachoric correlation coefficient can be calculated using the assumptions of the phi-coefficient construction, and the phi-coefficient can be calculated using the assumptions of the tetrachoric correlation construction. As a consequence, whether to use the phi-coefficient or the tetrachoric correlation coefficient is a matter of preference only. The result can also be used to construct a numerical table of tetrachoric correlation coefficients, converted from the marginal probabilities and the phi-coefficient, which is easy to calculate by hand. Moreover, a mathematically rigorous definition of the tetrachoric correlation coefficient is provided, along with a proof that the coefficient is well defined.

1. Contributions to the Theory of Measures of Association for Ordinal Variables$(function(){PrimeFaces.cw("OverlayPanel","overlay210896",{id:"formSmash:j_idt892:0:j_idt899",widgetVar:"overlay210896",target:"formSmash:j_idt892:0:parentLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

urn-nbn$(function(){PrimeFaces.cw("Tooltip","widget_formSmash_j_idt1452",{id:"formSmash:j_idt1452",widgetVar:"widget_formSmash_j_idt1452",showEffect:"fade",hideEffect:"fade",showDelay:500,hideDelay:300,target:"formSmash:altmetricDiv"});});

CiteExport$(function(){PrimeFaces.cw("TieredMenu","widget_formSmash_lower_j_idt1505",{id:"formSmash:lower:j_idt1505",widgetVar:"widget_formSmash_lower_j_idt1505",autoDisplay:true,overlay:true,my:"left top",at:"left bottom",trigger:"formSmash:lower:exportLink",triggerEvent:"click"});}); $(function(){PrimeFaces.cw("OverlayPanel","widget_formSmash_lower_j_idt1506_j_idt1508",{id:"formSmash:lower:j_idt1506:j_idt1508",widgetVar:"widget_formSmash_lower_j_idt1506_j_idt1508",target:"formSmash:lower:j_idt1506:permLink",showEffect:"blind",hideEffect:"fade",my:"right top",at:"right bottom",showCloseIcon:true});});