Can personal qualities of medical students predict in-course examination success and professional behaviour? An exploratory prospective cohort study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Jane Adam, Miles Bore, Jean McKendree, Don Munro, David Powis

ABSTRACT

BACKGROUND: Over two-thirds of UK medical schools are augmenting their selection procedures for medical students by using the United Kingdom Clinical Aptitude Test (UKCAT), which employs tests of cognitive and non-cognitive personal qualities, but clear evidence of the tests' predictive validity is lacking. This study explores whether academic performance and professional behaviours that are important in a health professional context can be predicted by these measures, when taken before or very early in the medical course. METHODS: This prospective cohort study follows the progress of the entire student cohort who entered Hull York Medical School in September 2007, having taken the UKCAT cognitive tests in 2006 and the non-cognitive tests a year later. This paper reports on the students' first and second academic years of study. The main outcome measures were regular, repeated tutor assessment of individual students' interpersonal skills and professional behaviour, and annual examination performance in the three domains of recall and application of knowledge, evaluation of data, and communication and practical clinical skills. The relationships between non-cognitive test scores, cognitive test scores, tutor assessments and examination results were explored using the Pearson product-moment correlations for each group of data; the data for students obtaining the top and bottom 20% of the summative examination results were compared using Analysis of Variance. RESULTS: Personal qualities measured by non-cognitive tests showed a number of statistically significant relationships with ratings of behaviour made by tutors, with performance in each year's objective structured clinical examinations (OSCEs), and with themed written summative examination marks in each year. Cognitive ability scores were also significantly related to each year's examination results, but seldom to professional behaviours. The top 20% of examination achievers could be differentiated from the bottom 20% on both non-cognitive and cognitive measures. CONCLUSIONS: This study shows numerous significant relationships between both cognitive and non-cognitive test scores, academic examination scores and indicators of professional behaviours in medical students. This suggests that measurement of non-cognitive personal qualities in applicants to medical school could make a useful contribution to selection and admission decisions. Further research is required in larger representative groups, and with more refined predictor measures and behavioural assessment methods, to establish beyond doubt the incremental validity of such measures over conventional cognitive assessments. More... »

PAGES

69

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1472-6920-12-69

DOI

http://dx.doi.org/10.1186/1472-6920-12-69

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026969502

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22873571


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "Achievement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aptitude Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Character", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Clinical Competence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Education, Medical, Undergraduate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Educational Measurement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Personality Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Physician's Role", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Physician-Patient Relations", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pilot Projects", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Psychometrics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "School Admission Criteria", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Students, Medical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United Kingdom", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of York", 
          "id": "https://www.grid.ac/institutes/grid.5685.e", 
          "name": [
            "Hull York Medical School, University of York, YO10 5DD, York, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Adam", 
        "givenName": "Jane", 
        "id": "sg:person.0604243114.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0604243114.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Newcastle Australia", 
          "id": "https://www.grid.ac/institutes/grid.266842.c", 
          "name": [
            "School of Psychology, University of Newcastle, 2308, Callaghan, NSW, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bore", 
        "givenName": "Miles", 
        "id": "sg:person.01360656426.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360656426.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of York", 
          "id": "https://www.grid.ac/institutes/grid.5685.e", 
          "name": [
            "Hull York Medical School, University of York, YO10 5DD, York, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McKendree", 
        "givenName": "Jean", 
        "id": "sg:person.01057162567.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057162567.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Newcastle Australia", 
          "id": "https://www.grid.ac/institutes/grid.266842.c", 
          "name": [
            "School of Psychology, University of Newcastle, 2308, Callaghan, NSW, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Munro", 
        "givenName": "Don", 
        "id": "sg:person.01025035756.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025035756.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Newcastle Australia", 
          "id": "https://www.grid.ac/institutes/grid.266842.c", 
          "name": [
            "School of Psychology, University of Newcastle, 2308, Callaghan, NSW, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Powis", 
        "givenName": "David", 
        "id": "sg:person.01275505700.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275505700.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1743-498x.2005.00060.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003462208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1743-498x.2005.00060.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003462208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00001888-197103000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004162162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00001888-197103000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004162162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2923.2009.03535.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005469370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2923.2009.03535.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005469370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2923.2010.03792.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006096230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2923.2010.03792.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006096230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.paid.2010.03.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009550085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00049530412331283462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013521742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2929.2004.02031.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017869104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jrp.2009.05.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023486157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/acm.0b013e31819fb7ff", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029639517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/acm.0b013e31819fb7ff", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029639517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/acm.0b013e31819fb7ff", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029639517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.331.7516.555", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052643247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00049530412331283453", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052686969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077620297", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5694/j.1326-5377.2008.tb01653.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077620297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7227/jace.11.1.2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101033165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7227/jace.11.1.2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101033165"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-12", 
    "datePublishedReg": "2012-12-01", 
    "description": "BACKGROUND: Over two-thirds of UK medical schools are augmenting their selection procedures for medical students by using the United Kingdom Clinical Aptitude Test (UKCAT), which employs tests of cognitive and non-cognitive personal qualities, but clear evidence of the tests' predictive validity is lacking. This study explores whether academic performance and professional behaviours that are important in a health professional context can be predicted by these measures, when taken before or very early in the medical course.\nMETHODS: This prospective cohort study follows the progress of the entire student cohort who entered Hull York Medical School in September 2007, having taken the UKCAT cognitive tests in 2006 and the non-cognitive tests a year later. This paper reports on the students' first and second academic years of study. The main outcome measures were regular, repeated tutor assessment of individual students' interpersonal skills and professional behaviour, and annual examination performance in the three domains of recall and application of knowledge, evaluation of data, and communication and practical clinical skills. The relationships between non-cognitive test scores, cognitive test scores, tutor assessments and examination results were explored using the Pearson product-moment correlations for each group of data; the data for students obtaining the top and bottom 20% of the summative examination results were compared using Analysis of Variance.\nRESULTS: Personal qualities measured by non-cognitive tests showed a number of statistically significant relationships with ratings of behaviour made by tutors, with performance in each year's objective structured clinical examinations (OSCEs), and with themed written summative examination marks in each year. Cognitive ability scores were also significantly related to each year's examination results, but seldom to professional behaviours. The top 20% of examination achievers could be differentiated from the bottom 20% on both non-cognitive and cognitive measures.\nCONCLUSIONS: This study shows numerous significant relationships between both cognitive and non-cognitive test scores, academic examination scores and indicators of professional behaviours in medical students. This suggests that measurement of non-cognitive personal qualities in applicants to medical school could make a useful contribution to selection and admission decisions. Further research is required in larger representative groups, and with more refined predictor measures and behavioural assessment methods, to establish beyond doubt the incremental validity of such measures over conventional cognitive assessments.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1472-6920-12-69", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1028429", 
        "issn": [
          "1472-6920"
        ], 
        "name": "BMC Medical Education", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Can personal qualities of medical students predict in-course examination success and professional behaviour? An exploratory prospective cohort study", 
    "pagination": "69", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8079fb5ee731124a1833a1f1ef833f521f0af751eb683ec4ee2e8dc08a916b12"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22873571"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101088679"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1472-6920-12-69"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1026969502"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1472-6920-12-69", 
      "https://app.dimensions.ai/details/publication/pub.1026969502"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:08", 
    "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/v90/0000000001_0000000264/records_8663_00000550.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1472-6920-12-69"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1186/1472-6920-12-69'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1472-6920-12-69'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1472-6920-12-69'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1472-6920-12-69'


 

This table displays all metadata directly associated to this object as RDF triples.

212 TRIPLES      21 PREDICATES      61 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1472-6920-12-69 schema:about N21f189b41321499bb2543e3fc698772e
2 N2259de9373714ce68d63cc9d03c55b15
3 N2426347f9a754a258fad3fa73446955d
4 N3628aadf67ba4eddb4c3a96f6fd354d1
5 N497d4116a696417baafd87ef6cc65a74
6 N4982b3c9904d4f269e2f7447b1a737b4
7 N5dbcde2f0d9440f9b2a37b58636683af
8 N5f2398941d8c4ab4bcd3e87daff49f76
9 N6227d501eb4e44faa96af139e8c1e5d8
10 N6a93ecd5a602404cbc59dccfd509e636
11 N706f7872316f42568c9e7515129216d5
12 N7720e002b89c467d946ef39e97ed90e0
13 N81139a992f6043aba02387fdfa4937c6
14 N871f2f9f78d74915a3c2a07a98e446a2
15 Naaa55f6d2a0e448da68685bdb83e3a40
16 Nb2598fd9cda94e928ab15dd71e9b6926
17 Nc19c42beaee640ffa4985937482744ac
18 Neda627d4f6b14edaa90cc5a248e52ff8
19 anzsrc-for:17
20 anzsrc-for:1701
21 schema:author N909196d9da864780be69bd6b2e094502
22 schema:citation https://app.dimensions.ai/details/publication/pub.1077620297
23 https://doi.org/10.1016/j.jrp.2009.05.010
24 https://doi.org/10.1016/j.paid.2010.03.042
25 https://doi.org/10.1080/00049530412331283453
26 https://doi.org/10.1080/00049530412331283462
27 https://doi.org/10.1097/00001888-197103000-00007
28 https://doi.org/10.1097/acm.0b013e31819fb7ff
29 https://doi.org/10.1111/j.1365-2923.2009.03535.x
30 https://doi.org/10.1111/j.1365-2923.2010.03792.x
31 https://doi.org/10.1111/j.1365-2929.2004.02031.x
32 https://doi.org/10.1111/j.1743-498x.2005.00060.x
33 https://doi.org/10.1136/bmj.331.7516.555
34 https://doi.org/10.5694/j.1326-5377.2008.tb01653.x
35 https://doi.org/10.7227/jace.11.1.2
36 schema:datePublished 2012-12
37 schema:datePublishedReg 2012-12-01
38 schema:description BACKGROUND: Over two-thirds of UK medical schools are augmenting their selection procedures for medical students by using the United Kingdom Clinical Aptitude Test (UKCAT), which employs tests of cognitive and non-cognitive personal qualities, but clear evidence of the tests' predictive validity is lacking. This study explores whether academic performance and professional behaviours that are important in a health professional context can be predicted by these measures, when taken before or very early in the medical course. METHODS: This prospective cohort study follows the progress of the entire student cohort who entered Hull York Medical School in September 2007, having taken the UKCAT cognitive tests in 2006 and the non-cognitive tests a year later. This paper reports on the students' first and second academic years of study. The main outcome measures were regular, repeated tutor assessment of individual students' interpersonal skills and professional behaviour, and annual examination performance in the three domains of recall and application of knowledge, evaluation of data, and communication and practical clinical skills. The relationships between non-cognitive test scores, cognitive test scores, tutor assessments and examination results were explored using the Pearson product-moment correlations for each group of data; the data for students obtaining the top and bottom 20% of the summative examination results were compared using Analysis of Variance. RESULTS: Personal qualities measured by non-cognitive tests showed a number of statistically significant relationships with ratings of behaviour made by tutors, with performance in each year's objective structured clinical examinations (OSCEs), and with themed written summative examination marks in each year. Cognitive ability scores were also significantly related to each year's examination results, but seldom to professional behaviours. The top 20% of examination achievers could be differentiated from the bottom 20% on both non-cognitive and cognitive measures. CONCLUSIONS: This study shows numerous significant relationships between both cognitive and non-cognitive test scores, academic examination scores and indicators of professional behaviours in medical students. This suggests that measurement of non-cognitive personal qualities in applicants to medical school could make a useful contribution to selection and admission decisions. Further research is required in larger representative groups, and with more refined predictor measures and behavioural assessment methods, to establish beyond doubt the incremental validity of such measures over conventional cognitive assessments.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree true
42 schema:isPartOf N65a4563bd43d431ab308c77bdf2e27cb
43 N80be386b459f4c83bd46765a72666872
44 sg:journal.1028429
45 schema:name Can personal qualities of medical students predict in-course examination success and professional behaviour? An exploratory prospective cohort study
46 schema:pagination 69
47 schema:productId N5f1d032a7a6c44769869050e9d6eae76
48 N9b75dc9625df48119399ceb7f980c52b
49 N9fe4f18c43fe45c6a195649358ead18b
50 Nb83508c8d4234ebc9ff0c9f3ebbf0851
51 Ncb07347615084de0bef87dc42c3a98d1
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026969502
53 https://doi.org/10.1186/1472-6920-12-69
54 schema:sdDatePublished 2019-04-10T15:08
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher Nff2a08eb27d04028821512cffd90002a
57 schema:url http://link.springer.com/10.1186%2F1472-6920-12-69
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N0da18898f1614005826a2a06d06cac1f rdf:first sg:person.01275505700.29
62 rdf:rest rdf:nil
63 N21f189b41321499bb2543e3fc698772e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Educational Measurement
65 rdf:type schema:DefinedTerm
66 N2259de9373714ce68d63cc9d03c55b15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Reproducibility of Results
68 rdf:type schema:DefinedTerm
69 N2426347f9a754a258fad3fa73446955d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Cohort Studies
71 rdf:type schema:DefinedTerm
72 N3628aadf67ba4eddb4c3a96f6fd354d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name United Kingdom
74 rdf:type schema:DefinedTerm
75 N497d4116a696417baafd87ef6cc65a74 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Humans
77 rdf:type schema:DefinedTerm
78 N4982b3c9904d4f269e2f7447b1a737b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Psychometrics
80 rdf:type schema:DefinedTerm
81 N5dbcde2f0d9440f9b2a37b58636683af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Physician's Role
83 rdf:type schema:DefinedTerm
84 N5f1d032a7a6c44769869050e9d6eae76 schema:name readcube_id
85 schema:value 8079fb5ee731124a1833a1f1ef833f521f0af751eb683ec4ee2e8dc08a916b12
86 rdf:type schema:PropertyValue
87 N5f2398941d8c4ab4bcd3e87daff49f76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Students, Medical
89 rdf:type schema:DefinedTerm
90 N6227d501eb4e44faa96af139e8c1e5d8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Physician-Patient Relations
92 rdf:type schema:DefinedTerm
93 N65a4563bd43d431ab308c77bdf2e27cb schema:volumeNumber 12
94 rdf:type schema:PublicationVolume
95 N6a93ecd5a602404cbc59dccfd509e636 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Education, Medical, Undergraduate
97 rdf:type schema:DefinedTerm
98 N6d7f089aaab14209ae3a71d059c99b69 rdf:first sg:person.01025035756.41
99 rdf:rest N0da18898f1614005826a2a06d06cac1f
100 N706f7872316f42568c9e7515129216d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Pilot Projects
102 rdf:type schema:DefinedTerm
103 N71b68e660bfd4dda939001415940a6ef rdf:first sg:person.01057162567.58
104 rdf:rest N6d7f089aaab14209ae3a71d059c99b69
105 N7720e002b89c467d946ef39e97ed90e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Character
107 rdf:type schema:DefinedTerm
108 N80be386b459f4c83bd46765a72666872 schema:issueNumber 1
109 rdf:type schema:PublicationIssue
110 N81139a992f6043aba02387fdfa4937c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Prospective Studies
112 rdf:type schema:DefinedTerm
113 N8595db62d6b747718d90ca9c528b3201 rdf:first sg:person.01360656426.45
114 rdf:rest N71b68e660bfd4dda939001415940a6ef
115 N871f2f9f78d74915a3c2a07a98e446a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Aptitude Tests
117 rdf:type schema:DefinedTerm
118 N909196d9da864780be69bd6b2e094502 rdf:first sg:person.0604243114.10
119 rdf:rest N8595db62d6b747718d90ca9c528b3201
120 N9b75dc9625df48119399ceb7f980c52b schema:name pubmed_id
121 schema:value 22873571
122 rdf:type schema:PropertyValue
123 N9fe4f18c43fe45c6a195649358ead18b schema:name doi
124 schema:value 10.1186/1472-6920-12-69
125 rdf:type schema:PropertyValue
126 Naaa55f6d2a0e448da68685bdb83e3a40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Personality Assessment
128 rdf:type schema:DefinedTerm
129 Nb2598fd9cda94e928ab15dd71e9b6926 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Achievement
131 rdf:type schema:DefinedTerm
132 Nb83508c8d4234ebc9ff0c9f3ebbf0851 schema:name nlm_unique_id
133 schema:value 101088679
134 rdf:type schema:PropertyValue
135 Nc19c42beaee640ffa4985937482744ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name School Admission Criteria
137 rdf:type schema:DefinedTerm
138 Ncb07347615084de0bef87dc42c3a98d1 schema:name dimensions_id
139 schema:value pub.1026969502
140 rdf:type schema:PropertyValue
141 Neda627d4f6b14edaa90cc5a248e52ff8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Clinical Competence
143 rdf:type schema:DefinedTerm
144 Nff2a08eb27d04028821512cffd90002a schema:name Springer Nature - SN SciGraph project
145 rdf:type schema:Organization
146 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
147 schema:name Psychology and Cognitive Sciences
148 rdf:type schema:DefinedTerm
149 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
150 schema:name Psychology
151 rdf:type schema:DefinedTerm
152 sg:journal.1028429 schema:issn 1472-6920
153 schema:name BMC Medical Education
154 rdf:type schema:Periodical
155 sg:person.01025035756.41 schema:affiliation https://www.grid.ac/institutes/grid.266842.c
156 schema:familyName Munro
157 schema:givenName Don
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025035756.41
159 rdf:type schema:Person
160 sg:person.01057162567.58 schema:affiliation https://www.grid.ac/institutes/grid.5685.e
161 schema:familyName McKendree
162 schema:givenName Jean
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057162567.58
164 rdf:type schema:Person
165 sg:person.01275505700.29 schema:affiliation https://www.grid.ac/institutes/grid.266842.c
166 schema:familyName Powis
167 schema:givenName David
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275505700.29
169 rdf:type schema:Person
170 sg:person.01360656426.45 schema:affiliation https://www.grid.ac/institutes/grid.266842.c
171 schema:familyName Bore
172 schema:givenName Miles
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360656426.45
174 rdf:type schema:Person
175 sg:person.0604243114.10 schema:affiliation https://www.grid.ac/institutes/grid.5685.e
176 schema:familyName Adam
177 schema:givenName Jane
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0604243114.10
179 rdf:type schema:Person
180 https://app.dimensions.ai/details/publication/pub.1077620297 schema:CreativeWork
181 https://doi.org/10.1016/j.jrp.2009.05.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023486157
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.paid.2010.03.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009550085
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1080/00049530412331283453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052686969
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1080/00049530412331283462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013521742
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1097/00001888-197103000-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004162162
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1097/acm.0b013e31819fb7ff schema:sameAs https://app.dimensions.ai/details/publication/pub.1029639517
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1111/j.1365-2923.2009.03535.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005469370
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1111/j.1365-2923.2010.03792.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006096230
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1111/j.1365-2929.2004.02031.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017869104
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1111/j.1743-498x.2005.00060.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003462208
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1136/bmj.331.7516.555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052643247
202 rdf:type schema:CreativeWork
203 https://doi.org/10.5694/j.1326-5377.2008.tb01653.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1077620297
204 rdf:type schema:CreativeWork
205 https://doi.org/10.7227/jace.11.1.2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101033165
206 rdf:type schema:CreativeWork
207 https://www.grid.ac/institutes/grid.266842.c schema:alternateName University of Newcastle Australia
208 schema:name School of Psychology, University of Newcastle, 2308, Callaghan, NSW, Australia
209 rdf:type schema:Organization
210 https://www.grid.ac/institutes/grid.5685.e schema:alternateName University of York
211 schema:name Hull York Medical School, University of York, YO10 5DD, York, UK
212 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...