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Reporting transparency in analysis of variance assumption testing

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

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. ed. / Wolfgang Glanzel; Sarah Heeffer; Pei-Shan Chi; Ronald Rousseau. International Society for Scientometrics and Informetrics, 2021. p. 967-978 (Proceedings of the International Conference on Scientometrics and Informetrics).

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Sainte-Marie, M, Pedersen, AD & Mongeon, P 2021, Reporting transparency in analysis of variance assumption testing. in W Glanzel, S Heeffer, P-S Chi & R Rousseau (eds), 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, pp. 967-978, 18th International Conference on Scientometrics and Informetrics Conference, ISSI 2021, Leuven, Belgium, 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. In W. Glanzel, S. Heeffer, P-S. Chi, & R. Rousseau (Eds.), 18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings (pp. 967-978). International Society for Scientometrics and Informetrics. Proceedings of the International Conference on Scientometrics and Informetrics https://kuleuven.app.box.com/s/kdhn54ndlmwtil3s4aaxmotl9fv9s329

CBE

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, editors. In 18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings. International Society for Scientometrics and Informetrics. pp. 967-978. (Proceedings of the International Conference on Scientometrics and Informetrics).

MLA

Sainte-Marie, Maxime, Asger Dalsgaard Pedersen and Philippe Mongeon "Reporting transparency in analysis of variance assumption testing"., Glanzel, Wolfgang and Heeffer, Sarah Chi, Pei-Shan Rousseau, Ronald (editors). 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. In Glanzel W, Heeffer S, Chi P-S, Rousseau R, editors, 18th Internaitonal Conference on Scientometrics & Informetrics ISSI2021, 12–15 July 2021 KU Leuven, Belgium, Proceedings. International Society for Scientometrics and Informetrics. 2021. p. 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. editor / Wolfgang Glanzel ; Sarah Heeffer ; Pei-Shan Chi ; Ronald Rousseau. International Society for Scientometrics and Informetrics, 2021. pp. 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 -