Standard
Reporting transparency in analysis of variance assumption testing. / Sainte-Marie, Maxime; Pedersen, Asger Dalsgaard; Mongeon, Philippe.
18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings. red. / Wolfgang Glanzel; Sarah Heeffer; Pei-Shan Chi; Ronald Rousseau. International Society for Scientometrics and Informetrics, 2021. s. 967-978 (Proceedings of the International Conference on Scientometrics and Informetrics).
Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
Harvard
Sainte-Marie, M, Pedersen, AD & Mongeon, P 2021,
Reporting transparency in analysis of variance assumption testing. i W Glanzel, S Heeffer, P-S Chi & R Rousseau (red),
18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings. International Society for Scientometrics and Informetrics, Proceedings of the International Conference on Scientometrics and Informetrics, s. 967-978, 18th International Conference on Scientometrics and Informetrics Conference, ISSI 2021, Leuven, Belgien,
12/07/2021. <
https://kuleuven.app.box.com/s/kdhn54ndlmwtil3s4aaxmotl9fv9s329>
APA
Sainte-Marie, M., Pedersen, A. D., & Mongeon, P. (2021).
Reporting transparency in analysis of variance assumption testing. I W. Glanzel, S. Heeffer, P-S. Chi, & R. Rousseau (red.),
18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings (s. 967-978). International Society for Scientometrics and Informetrics. Proceedings of the International Conference on Scientometrics and Informetrics
https://kuleuven.app.box.com/s/kdhn54ndlmwtil3s4aaxmotl9fv9s329CBE
Sainte-Marie M, Pedersen AD, Mongeon P. 2021.
Reporting transparency in analysis of variance assumption testing. Glanzel W, Heeffer S, Chi P-S, Rousseau R, red. I 18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings. International Society for Scientometrics and Informetrics. s. 967-978. (Proceedings of the International Conference on Scientometrics and Informetrics).
MLA
Sainte-Marie, Maxime, Asger Dalsgaard Pedersen og Philippe Mongeon
"Reporting transparency in analysis of variance assumption testing"., Glanzel, Wolfgang og Heeffer, Sarah Chi, Pei-Shan Rousseau, Ronald (red.).
18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings. International Society for Scientometrics and Informetrics. (Proceedings of the International Conference on Scientometrics and Informetrics). 2021, 967-978.
Vancouver
Sainte-Marie M, Pedersen AD, Mongeon P.
Reporting transparency in analysis of variance assumption testing. I Glanzel W, Heeffer S, Chi P-S, Rousseau R, red., 18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings. International Society for Scientometrics and Informetrics. 2021. s. 967-978. (Proceedings of the International Conference on Scientometrics and Informetrics).
Author
Sainte-Marie, Maxime ; Pedersen, Asger Dalsgaard ; Mongeon, Philippe. /
Reporting transparency in analysis of variance assumption testing. 18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings. red. / Wolfgang Glanzel ; Sarah Heeffer ; Pei-Shan Chi ; Ronald Rousseau. International Society for Scientometrics and Informetrics, 2021. s. 967-978 (Proceedings of the International Conference on Scientometrics and Informetrics).
Bibtex
@inproceedings{309f636bcbee491a89d52743bbb7f10e,
title = "Reporting transparency in analysis of variance assumption testing",
abstract = "ANOVA models in general are valid only insofar as both homoscedasticity and multiple comparisons between groups are controlled for. While recent studies suggest that researchers in various disciplines seldom comply with these requirements, lack of rigor in methodological reporting makes a proper, large-scale, and transdisciplinary assessment of the situation impossible. Given this situation, the present paper attempts a large-scale and transdisciplinary assessment of statistical reporting transparency in ANOVA-related papers, using customized regular expressions on the full-text of articles published in Elsevier journals. Results show that, beyond important variations at multiple disciplinary levels, reporting transparency in the testing of ANOVA statistical assumptions is generally lacking, as a minority of ANOVA-related papers refer to either homoscedasticity or multiplicity correction. Also, articles from higher-quartile journals tend to report statistical assumptions more thoroughly than those from lower-quartile journals, regardless of discipline or subdiscipline.",
keywords = "ANOVA",
author = "Maxime Sainte-Marie and Pedersen, {Asger Dalsgaard} and Philippe Mongeon",
year = "2021",
language = "English",
isbn = "9789080328228",
series = "Proceedings of the International Conference on Scientometrics and Informetrics",
pages = "967--978",
editor = "Wolfgang Glanzel and Sarah Heeffer and Pei-Shan Chi and Ronald Rousseau",
booktitle = "18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings",
publisher = "International Society for Scientometrics and Informetrics",
note = "18th International Conference on Scientometrics and Informetrics Conference, ISSI 2021 ; Conference date: 12-07-2021 Through 15-07-2021",
}
RIS
TY - GEN
T1 - Reporting transparency in analysis of variance assumption testing
AU - Sainte-Marie, Maxime
AU - Pedersen, Asger Dalsgaard
AU - Mongeon, Philippe
PY - 2021
Y1 - 2021
N2 - ANOVA models in general are valid only insofar as both homoscedasticity and multiple comparisons between groups are controlled for. While recent studies suggest that researchers in various disciplines seldom comply with these requirements, lack of rigor in methodological reporting makes a proper, large-scale, and transdisciplinary assessment of the situation impossible. Given this situation, the present paper attempts a large-scale and transdisciplinary assessment of statistical reporting transparency in ANOVA-related papers, using customized regular expressions on the full-text of articles published in Elsevier journals. Results show that, beyond important variations at multiple disciplinary levels, reporting transparency in the testing of ANOVA statistical assumptions is generally lacking, as a minority of ANOVA-related papers refer to either homoscedasticity or multiplicity correction. Also, articles from higher-quartile journals tend to report statistical assumptions more thoroughly than those from lower-quartile journals, regardless of discipline or subdiscipline.
AB - ANOVA models in general are valid only insofar as both homoscedasticity and multiple comparisons between groups are controlled for. While recent studies suggest that researchers in various disciplines seldom comply with these requirements, lack of rigor in methodological reporting makes a proper, large-scale, and transdisciplinary assessment of the situation impossible. Given this situation, the present paper attempts a large-scale and transdisciplinary assessment of statistical reporting transparency in ANOVA-related papers, using customized regular expressions on the full-text of articles published in Elsevier journals. Results show that, beyond important variations at multiple disciplinary levels, reporting transparency in the testing of ANOVA statistical assumptions is generally lacking, as a minority of ANOVA-related papers refer to either homoscedasticity or multiplicity correction. Also, articles from higher-quartile journals tend to report statistical assumptions more thoroughly than those from lower-quartile journals, regardless of discipline or subdiscipline.
KW - ANOVA
UR - http://www.scopus.com/inward/record.url?scp=85112617475&partnerID=8YFLogxK
M3 - Article in proceedings
AN - SCOPUS:85112617475
SN - 9789080328228
T3 - Proceedings of the International Conference on Scientometrics and Informetrics
SP - 967
EP - 978
BT - 18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings
A2 - Glanzel, Wolfgang
A2 - Heeffer, Sarah
A2 - Chi, Pei-Shan
A2 - Rousseau, Ronald
PB - International Society for Scientometrics and Informetrics
T2 - 18th International Conference on Scientometrics and Informetrics Conference, ISSI 2021
Y2 - 12 July 2021 through 15 July 2021
ER -