Ontology type: schema:ScholarlyArticle
2005-10
AUTHORSMarnie E. Rice, Grant T. Harris
ABSTRACTIn order to facilitate comparisons across follow-up studies that have used different measures of effect size, we provide a table of effect size equivalencies for the three most common measures: ROC area (AUC), Cohen's d, and r. We outline why AUC is the preferred measure of predictive or diagnostic accuracy in forensic psychology or psychiatry, and we urge researchers and practitioners to use numbers rather than verbal labels to characterize effect sizes. More... »
PAGES615-620
http://scigraph.springernature.com/pub.10.1007/s10979-005-6832-7
DOIhttp://dx.doi.org/10.1007/s10979-005-6832-7
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1051920481
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/16254746
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology and Cognitive Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Forecasting",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "ROC Curve",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Risk Assessment",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"name": [
"Mental Health Centre, 500 Church St., L9M 1G3, Penetanguishene, Ontario, Canada"
],
"type": "Organization"
},
"familyName": "Rice",
"givenName": "Marnie E.",
"id": "sg:person.01276733246.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276733246.30"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Mental Health Centre, 500 Church St., L9M 1G3, Penetanguishene, Ontario, Canada"
],
"type": "Organization"
},
"familyName": "Harris",
"givenName": "Grant T.",
"id": "sg:person.0706665515.51",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706665515.51"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1037/0003-066x.58.1.78",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002038409"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0033-2909.99.1.100",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002435328"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/1082-989x.7.4.485",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002439846"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/1082-989x.7.4.485",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002439846"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0022-006x.63.5.737",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004642250"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0033-2909.112.1.155",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004794430"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0022-0663.74.2.166",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008407883"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0022-006x.62.4.783",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017977084"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0003-066x.45.6.775",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018050087"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1749-6632.2003.tb07306.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020275566"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0033-2909.111.2.361",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038649379"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1529-1006.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061837439"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1529-1006.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061837439"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1025060413844",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063967691",
"https://doi.org/10.1023/a:1025060413844"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4135/9781412984997",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095899552"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4135/9781412984997",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095899552"
],
"type": "CreativeWork"
}
],
"datePublished": "2005-10",
"datePublishedReg": "2005-10-01",
"description": "In order to facilitate comparisons across follow-up studies that have used different measures of effect size, we provide a table of effect size equivalencies for the three most common measures: ROC area (AUC), Cohen's d, and r. We outline why AUC is the preferred measure of predictive or diagnostic accuracy in forensic psychology or psychiatry, and we urge researchers and practitioners to use numbers rather than verbal labels to characterize effect sizes.",
"genre": "research_article",
"id": "sg:pub.10.1007/s10979-005-6832-7",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1087188",
"issn": [
"0147-7307",
"1573-661X"
],
"name": "Law and Human Behavior",
"type": "Periodical"
},
{
"issueNumber": "5",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "29"
}
],
"name": "Comparing Effect Sizes in Follow-Up Studies: ROC Area, Cohen's d, and r",
"pagination": "615-620",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"f751ab03cef243b44bc14d6b2a30d1741590e6f5d3438e64b084a0d94d8c80f4"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"16254746"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"7801255"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10979-005-6832-7"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1051920481"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10979-005-6832-7",
"https://app.dimensions.ai/details/publication/pub.1051920481"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:28",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87119_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs10979-005-6832-7"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10979-005-6832-7'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10979-005-6832-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10979-005-6832-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10979-005-6832-7'
This table displays all metadata directly associated to this object as RDF triples.
133 TRIPLES
21 PREDICATES
46 URIs
25 LITERALS
13 BLANK NODES