Evaluation of large-group lectures in medicine - development of the SETMED-L (Student Evaluation of Teaching in MEDical Lectures) questionnaire

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Evaluation of large-group lectures in medicine - development of the SETMED-L (Student Evaluation of Teaching in MEDical Lectures) questionnaire. / Müller, Tjark; Montano, Diego; Poinstingl, Herbert; Dreiling, Katharina; Schiekirka-Schwake, Sarah; Anders, Sven; Raupach, Tobias; von Steinbüchel, Nicole.

in: BMC MED EDUC, Jahrgang 17, Nr. 1, 18.08.2017, S. 137.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Müller, T, Montano, D, Poinstingl, H, Dreiling, K, Schiekirka-Schwake, S, Anders, S, Raupach, T & von Steinbüchel, N 2017, 'Evaluation of large-group lectures in medicine - development of the SETMED-L (Student Evaluation of Teaching in MEDical Lectures) questionnaire', BMC MED EDUC, Jg. 17, Nr. 1, S. 137. https://doi.org/10.1186/s12909-017-0970-8

APA

Müller, T., Montano, D., Poinstingl, H., Dreiling, K., Schiekirka-Schwake, S., Anders, S., Raupach, T., & von Steinbüchel, N. (2017). Evaluation of large-group lectures in medicine - development of the SETMED-L (Student Evaluation of Teaching in MEDical Lectures) questionnaire. BMC MED EDUC, 17(1), 137. https://doi.org/10.1186/s12909-017-0970-8

Vancouver

Bibtex

@article{83d6bebb6eba482995735263d4b41a65,
title = "Evaluation of large-group lectures in medicine - development of the SETMED-L (Student Evaluation of Teaching in MEDical Lectures) questionnaire",
abstract = "BACKGROUND: The seven categories of the Stanford Faculty Development Program (SFDP) represent a framework for planning and assessing medical teaching. Nevertheless, so far there is no specific evaluation tool for large-group lectures that is based on these categories. This paper reports the development and psychometric validation of a short German evaluation tool for large-group lectures in medical education (SETMED-L: 'Student Evaluation of Teaching in MEDical Lectures') based on the SFDP-categories.METHODS: Data were collected at two German medical schools. In Study 1, a full information factor analysis of the new 14-item questionnaire was performed. In Study 2, following cognitive debriefings and adjustments, a confirmatory factor analysis was performed. The model was tested for invariance across medical schools and student gender. Convergent validity was assessed by comparison with results of the FEVOR questionnaire.RESULTS: Study 1 (n = 922) yielded a three-factor solution with one major (10 items) and two minor factors (2 items each). In Study 2 (n = 2740), this factor structure was confirmed. Scale reliability ranged between α = 0.71 and α = 0.88. Measurement invariance was given across student gender but not across medical schools. Convergent validity in the subsample tested (n = 246) yielded acceptable results.CONCLUSION: The SETMED-L showed satisfactory to very good psychometric characteristics. The main advantages are its short yet comprehensive form, the integration of SFDP-categories and its focus on medical education.",
keywords = "Journal Article",
author = "Tjark M{\"u}ller and Diego Montano and Herbert Poinstingl and Katharina Dreiling and Sarah Schiekirka-Schwake and Sven Anders and Tobias Raupach and {von Steinb{\"u}chel}, Nicole",
year = "2017",
month = aug,
day = "18",
doi = "10.1186/s12909-017-0970-8",
language = "English",
volume = "17",
pages = "137",
journal = "BMC MED EDUC",
issn = "1472-6920",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Evaluation of large-group lectures in medicine - development of the SETMED-L (Student Evaluation of Teaching in MEDical Lectures) questionnaire

AU - Müller, Tjark

AU - Montano, Diego

AU - Poinstingl, Herbert

AU - Dreiling, Katharina

AU - Schiekirka-Schwake, Sarah

AU - Anders, Sven

AU - Raupach, Tobias

AU - von Steinbüchel, Nicole

PY - 2017/8/18

Y1 - 2017/8/18

N2 - BACKGROUND: The seven categories of the Stanford Faculty Development Program (SFDP) represent a framework for planning and assessing medical teaching. Nevertheless, so far there is no specific evaluation tool for large-group lectures that is based on these categories. This paper reports the development and psychometric validation of a short German evaluation tool for large-group lectures in medical education (SETMED-L: 'Student Evaluation of Teaching in MEDical Lectures') based on the SFDP-categories.METHODS: Data were collected at two German medical schools. In Study 1, a full information factor analysis of the new 14-item questionnaire was performed. In Study 2, following cognitive debriefings and adjustments, a confirmatory factor analysis was performed. The model was tested for invariance across medical schools and student gender. Convergent validity was assessed by comparison with results of the FEVOR questionnaire.RESULTS: Study 1 (n = 922) yielded a three-factor solution with one major (10 items) and two minor factors (2 items each). In Study 2 (n = 2740), this factor structure was confirmed. Scale reliability ranged between α = 0.71 and α = 0.88. Measurement invariance was given across student gender but not across medical schools. Convergent validity in the subsample tested (n = 246) yielded acceptable results.CONCLUSION: The SETMED-L showed satisfactory to very good psychometric characteristics. The main advantages are its short yet comprehensive form, the integration of SFDP-categories and its focus on medical education.

AB - BACKGROUND: The seven categories of the Stanford Faculty Development Program (SFDP) represent a framework for planning and assessing medical teaching. Nevertheless, so far there is no specific evaluation tool for large-group lectures that is based on these categories. This paper reports the development and psychometric validation of a short German evaluation tool for large-group lectures in medical education (SETMED-L: 'Student Evaluation of Teaching in MEDical Lectures') based on the SFDP-categories.METHODS: Data were collected at two German medical schools. In Study 1, a full information factor analysis of the new 14-item questionnaire was performed. In Study 2, following cognitive debriefings and adjustments, a confirmatory factor analysis was performed. The model was tested for invariance across medical schools and student gender. Convergent validity was assessed by comparison with results of the FEVOR questionnaire.RESULTS: Study 1 (n = 922) yielded a three-factor solution with one major (10 items) and two minor factors (2 items each). In Study 2 (n = 2740), this factor structure was confirmed. Scale reliability ranged between α = 0.71 and α = 0.88. Measurement invariance was given across student gender but not across medical schools. Convergent validity in the subsample tested (n = 246) yielded acceptable results.CONCLUSION: The SETMED-L showed satisfactory to very good psychometric characteristics. The main advantages are its short yet comprehensive form, the integration of SFDP-categories and its focus on medical education.

KW - Journal Article

U2 - 10.1186/s12909-017-0970-8

DO - 10.1186/s12909-017-0970-8

M3 - SCORING: Journal article

C2 - 28821257

VL - 17

SP - 137

JO - BMC MED EDUC

JF - BMC MED EDUC

SN - 1472-6920

IS - 1

ER -