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Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission.

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Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission. / Hissbach, Johanna; Klusmann, Dietrich; Hampe, Wolfgang.

In: BMC MED EDUC, Vol. 11, 2011, p. 83.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Hissbach, J, Klusmann, D & Hampe, W 2011, 'Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission.', BMC MED EDUC, vol. 11, pp. 83. https://doi.org/10.1186/1472-6920-11-83

APA

Hissbach, J., Klusmann, D., & Hampe, W. (2011). Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission. BMC MED EDUC, 11, 83. https://doi.org/10.1186/1472-6920-11-83

Vancouver

Hissbach J, Klusmann D, Hampe W. Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission. BMC MED EDUC. 2011;11:83. https://doi.org/10.1186/1472-6920-11-83

Bibtex

@article{a6239d990859471eb7aa9d6f22995ffb,
title = "Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission.",
abstract = "Knowledge in natural sciences generally predicts study performance in the first two years of the medical curriculum. In order to reduce delay and dropout in the preclinical years, Hamburg Medical School decided to develop a natural science test (HAM-Nat) for student selection. In the present study, two different approaches to scale construction are presented: a unidimensional scale and a scale composed of three subject specific dimensions. Their psychometric properties and relations to academic success are compared.",
keywords = "Humans, Male, Female, Young Adult, Regression Analysis, Reproducibility of Results, Statistics as Topic, Psychometrics, Models, Statistical, Health Knowledge, Attitudes, Practice, Curriculum, Natural Science Disciplines/*education, *Predictive Value of Tests, *School Admission Criteria, *Schools, Medical, Students, Medical, Humans, Male, Female, Young Adult, Regression Analysis, Reproducibility of Results, Statistics as Topic, Psychometrics, Models, Statistical, Health Knowledge, Attitudes, Practice, Curriculum, Natural Science Disciplines/*education, *Predictive Value of Tests, *School Admission Criteria, *Schools, Medical, Students, Medical",
author = "Johanna Hissbach and Dietrich Klusmann and Wolfgang Hampe",
year = "2011",
doi = "10.1186/1472-6920-11-83",
language = "English",
volume = "11",
pages = "83",
journal = "BMC MED EDUC",
issn = "1472-6920",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission.

AU - Hissbach, Johanna

AU - Klusmann, Dietrich

AU - Hampe, Wolfgang

PY - 2011

Y1 - 2011

N2 - Knowledge in natural sciences generally predicts study performance in the first two years of the medical curriculum. In order to reduce delay and dropout in the preclinical years, Hamburg Medical School decided to develop a natural science test (HAM-Nat) for student selection. In the present study, two different approaches to scale construction are presented: a unidimensional scale and a scale composed of three subject specific dimensions. Their psychometric properties and relations to academic success are compared.

AB - Knowledge in natural sciences generally predicts study performance in the first two years of the medical curriculum. In order to reduce delay and dropout in the preclinical years, Hamburg Medical School decided to develop a natural science test (HAM-Nat) for student selection. In the present study, two different approaches to scale construction are presented: a unidimensional scale and a scale composed of three subject specific dimensions. Their psychometric properties and relations to academic success are compared.

KW - Humans

KW - Male

KW - Female

KW - Young Adult

KW - Regression Analysis

KW - Reproducibility of Results

KW - Statistics as Topic

KW - Psychometrics

KW - Models, Statistical

KW - Health Knowledge, Attitudes, Practice

KW - Curriculum

KW - Natural Science Disciplines/education

KW - Predictive Value of Tests

KW - School Admission Criteria

KW - Schools, Medical

KW - Students, Medical

KW - Humans

KW - Male

KW - Female

KW - Young Adult

KW - Regression Analysis

KW - Reproducibility of Results

KW - Statistics as Topic

KW - Psychometrics

KW - Models, Statistical

KW - Health Knowledge, Attitudes, Practice

KW - Curriculum

KW - Natural Science Disciplines/education

KW - Predictive Value of Tests

KW - School Admission Criteria

KW - Schools, Medical

KW - Students, Medical

U2 - 10.1186/1472-6920-11-83

DO - 10.1186/1472-6920-11-83

M3 - SCORING: Journal article

VL - 11

SP - 83

JO - BMC MED EDUC

JF - BMC MED EDUC

SN - 1472-6920

ER -