Misuse of analysis of variance in African biomedical journals: a call for more vigilance

Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleague...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Abubakar, Bilyaminu [verfasserIn] Uthman, Yaaqub Abiodun Jatau, Abubakar Ibrahim Danbatta, Abubakar Nuhu, Hafsat Nasidi Mustapha, Mohammed

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	African biomedical journals Analysis of variance Misuse of analysis of variance One-way analysis of variance Two-way analysis of variance

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: Bulletin of the National Research Centre - Berlin : Springer, 2018, 46(2022), 1 vom: 13. Aug.
Übergeordnetes Werk:	volume:46 ; year:2022 ; number:1 ; day:13 ; month:08

Links:	Volltext

DOI / URN:	10.1186/s42269-022-00924-8

Katalog-ID:	SPR047850442

Internformat


LEADER	01000caa a22002652 4500
001	SPR047850442
003	DE-627
005	20230508015434.0
007	cr uuu---uuuuu
008	220814s2022 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1186/s42269-022-00924-8 \|2 doi
035			\|a (DE-627)SPR047850442
035			\|a (SPR)s42269-022-00924-8-e
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	1		\|a Abubakar, Bilyaminu \|e verfasserin \|0 (orcid)0000-0002-4909-4840 \|4 aut
245	1	0	\|a Misuse of analysis of variance in African biomedical journals: a call for more vigilance
264		1	\|c 2022
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
500			\|a © The Author(s) 2022
520			\|a Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud.
650		4	\|a African biomedical journals \|7 (dpeaa)DE-He213
650		4	\|a Analysis of variance \|7 (dpeaa)DE-He213
650		4	\|a Misuse of analysis of variance \|7 (dpeaa)DE-He213
650		4	\|a One-way analysis of variance \|7 (dpeaa)DE-He213
650		4	\|a Two-way analysis of variance \|7 (dpeaa)DE-He213
700	1		\|a Uthman, Yaaqub Abiodun \|4 aut
700	1		\|a Jatau, Abubakar Ibrahim \|4 aut
700	1		\|a Danbatta, Abubakar \|4 aut
700	1		\|a Nuhu, Hafsat Nasidi \|4 aut
700	1		\|a Mustapha, Mohammed \|4 aut
773	0	8	\|i Enthalten in \|t Bulletin of the National Research Centre \|d Berlin : Springer, 2018 \|g 46(2022), 1 vom: 13. Aug. \|w (DE-627)1035877007 \|w (DE-600)2946659-3 \|x 2522-8307 \|7 nnns
773	1	8	\|g volume:46 \|g year:2022 \|g number:1 \|g day:13 \|g month:08
856	4	0	\|u https://dx.doi.org/10.1186/s42269-022-00924-8 \|z kostenfrei \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_SPRINGER
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 46 \|j 2022 \|e 1 \|b 13 \|c 08

Indexfelder

author_variant	b a ba y a u ya yau a i j ai aij a d ad h n n hn hnn m m mm
matchkey_str	article:25228307:2022----::iuefnlssfainenfiaboeiajunla
hierarchy_sort_str	2022
publishDate	2022
allfields	10.1186/s42269-022-00924-8 doi (DE-627)SPR047850442 (SPR)s42269-022-00924-8-e DE-627 ger DE-627 rakwb eng Abubakar, Bilyaminu verfasserin (orcid)0000-0002-4909-4840 aut Misuse of analysis of variance in African biomedical journals: a call for more vigilance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud. African biomedical journals (dpeaa)DE-He213 Analysis of variance (dpeaa)DE-He213 Misuse of analysis of variance (dpeaa)DE-He213 One-way analysis of variance (dpeaa)DE-He213 Two-way analysis of variance (dpeaa)DE-He213 Uthman, Yaaqub Abiodun aut Jatau, Abubakar Ibrahim aut Danbatta, Abubakar aut Nuhu, Hafsat Nasidi aut Mustapha, Mohammed aut Enthalten in Bulletin of the National Research Centre Berlin : Springer, 2018 46(2022), 1 vom: 13. Aug. (DE-627)1035877007 (DE-600)2946659-3 2522-8307 nnns volume:46 year:2022 number:1 day:13 month:08 https://dx.doi.org/10.1186/s42269-022-00924-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 46 2022 1 13 08
spelling	10.1186/s42269-022-00924-8 doi (DE-627)SPR047850442 (SPR)s42269-022-00924-8-e DE-627 ger DE-627 rakwb eng Abubakar, Bilyaminu verfasserin (orcid)0000-0002-4909-4840 aut Misuse of analysis of variance in African biomedical journals: a call for more vigilance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud. African biomedical journals (dpeaa)DE-He213 Analysis of variance (dpeaa)DE-He213 Misuse of analysis of variance (dpeaa)DE-He213 One-way analysis of variance (dpeaa)DE-He213 Two-way analysis of variance (dpeaa)DE-He213 Uthman, Yaaqub Abiodun aut Jatau, Abubakar Ibrahim aut Danbatta, Abubakar aut Nuhu, Hafsat Nasidi aut Mustapha, Mohammed aut Enthalten in Bulletin of the National Research Centre Berlin : Springer, 2018 46(2022), 1 vom: 13. Aug. (DE-627)1035877007 (DE-600)2946659-3 2522-8307 nnns volume:46 year:2022 number:1 day:13 month:08 https://dx.doi.org/10.1186/s42269-022-00924-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 46 2022 1 13 08
allfields_unstemmed	10.1186/s42269-022-00924-8 doi (DE-627)SPR047850442 (SPR)s42269-022-00924-8-e DE-627 ger DE-627 rakwb eng Abubakar, Bilyaminu verfasserin (orcid)0000-0002-4909-4840 aut Misuse of analysis of variance in African biomedical journals: a call for more vigilance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud. African biomedical journals (dpeaa)DE-He213 Analysis of variance (dpeaa)DE-He213 Misuse of analysis of variance (dpeaa)DE-He213 One-way analysis of variance (dpeaa)DE-He213 Two-way analysis of variance (dpeaa)DE-He213 Uthman, Yaaqub Abiodun aut Jatau, Abubakar Ibrahim aut Danbatta, Abubakar aut Nuhu, Hafsat Nasidi aut Mustapha, Mohammed aut Enthalten in Bulletin of the National Research Centre Berlin : Springer, 2018 46(2022), 1 vom: 13. Aug. (DE-627)1035877007 (DE-600)2946659-3 2522-8307 nnns volume:46 year:2022 number:1 day:13 month:08 https://dx.doi.org/10.1186/s42269-022-00924-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 46 2022 1 13 08
allfieldsGer	10.1186/s42269-022-00924-8 doi (DE-627)SPR047850442 (SPR)s42269-022-00924-8-e DE-627 ger DE-627 rakwb eng Abubakar, Bilyaminu verfasserin (orcid)0000-0002-4909-4840 aut Misuse of analysis of variance in African biomedical journals: a call for more vigilance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud. African biomedical journals (dpeaa)DE-He213 Analysis of variance (dpeaa)DE-He213 Misuse of analysis of variance (dpeaa)DE-He213 One-way analysis of variance (dpeaa)DE-He213 Two-way analysis of variance (dpeaa)DE-He213 Uthman, Yaaqub Abiodun aut Jatau, Abubakar Ibrahim aut Danbatta, Abubakar aut Nuhu, Hafsat Nasidi aut Mustapha, Mohammed aut Enthalten in Bulletin of the National Research Centre Berlin : Springer, 2018 46(2022), 1 vom: 13. Aug. (DE-627)1035877007 (DE-600)2946659-3 2522-8307 nnns volume:46 year:2022 number:1 day:13 month:08 https://dx.doi.org/10.1186/s42269-022-00924-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 46 2022 1 13 08
allfieldsSound	10.1186/s42269-022-00924-8 doi (DE-627)SPR047850442 (SPR)s42269-022-00924-8-e DE-627 ger DE-627 rakwb eng Abubakar, Bilyaminu verfasserin (orcid)0000-0002-4909-4840 aut Misuse of analysis of variance in African biomedical journals: a call for more vigilance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud. African biomedical journals (dpeaa)DE-He213 Analysis of variance (dpeaa)DE-He213 Misuse of analysis of variance (dpeaa)DE-He213 One-way analysis of variance (dpeaa)DE-He213 Two-way analysis of variance (dpeaa)DE-He213 Uthman, Yaaqub Abiodun aut Jatau, Abubakar Ibrahim aut Danbatta, Abubakar aut Nuhu, Hafsat Nasidi aut Mustapha, Mohammed aut Enthalten in Bulletin of the National Research Centre Berlin : Springer, 2018 46(2022), 1 vom: 13. Aug. (DE-627)1035877007 (DE-600)2946659-3 2522-8307 nnns volume:46 year:2022 number:1 day:13 month:08 https://dx.doi.org/10.1186/s42269-022-00924-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 46 2022 1 13 08
language	English
source	Enthalten in Bulletin of the National Research Centre 46(2022), 1 vom: 13. Aug. volume:46 year:2022 number:1 day:13 month:08
sourceStr	Enthalten in Bulletin of the National Research Centre 46(2022), 1 vom: 13. Aug. volume:46 year:2022 number:1 day:13 month:08
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	African biomedical journals Analysis of variance Misuse of analysis of variance One-way analysis of variance Two-way analysis of variance
isfreeaccess_bool	true
container_title	Bulletin of the National Research Centre
authorswithroles_txt_mv	Abubakar, Bilyaminu @@aut@@ Uthman, Yaaqub Abiodun @@aut@@ Jatau, Abubakar Ibrahim @@aut@@ Danbatta, Abubakar @@aut@@ Nuhu, Hafsat Nasidi @@aut@@ Mustapha, Mohammed @@aut@@
publishDateDaySort_date	2022-08-13T00:00:00Z
hierarchy_top_id	1035877007
id	SPR047850442
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR047850442</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230508015434.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220814s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s42269-022-00924-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR047850442</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42269-022-00924-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Abubakar, Bilyaminu</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-4909-4840</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Misuse of analysis of variance in African biomedical journals: a call for more vigilance</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">African biomedical journals</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Analysis of variance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Misuse of analysis of variance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">One-way analysis of variance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Two-way analysis of variance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Uthman, Yaaqub Abiodun</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jatau, Abubakar Ibrahim</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Danbatta, Abubakar</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nuhu, Hafsat Nasidi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mustapha, Mohammed</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Bulletin of the National Research Centre</subfield><subfield code="d">Berlin : Springer, 2018</subfield><subfield code="g">46(2022), 1 vom: 13. Aug.</subfield><subfield code="w">(DE-627)1035877007</subfield><subfield code="w">(DE-600)2946659-3</subfield><subfield code="x">2522-8307</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:46</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:1</subfield><subfield code="g">day:13</subfield><subfield code="g">month:08</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s42269-022-00924-8</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">46</subfield><subfield code="j">2022</subfield><subfield code="e">1</subfield><subfield code="b">13</subfield><subfield code="c">08</subfield></datafield></record></collection>
author	Abubakar, Bilyaminu
spellingShingle	Abubakar, Bilyaminu misc African biomedical journals misc Analysis of variance misc Misuse of analysis of variance misc One-way analysis of variance misc Two-way analysis of variance Misuse of analysis of variance in African biomedical journals: a call for more vigilance
authorStr	Abubakar, Bilyaminu
ppnlink_with_tag_str_mv	@@773@@(DE-627)1035877007
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut
collection	springer
remote_str	true
illustrated	Not Illustrated
issn	2522-8307
topic_title	Misuse of analysis of variance in African biomedical journals: a call for more vigilance African biomedical journals (dpeaa)DE-He213 Analysis of variance (dpeaa)DE-He213 Misuse of analysis of variance (dpeaa)DE-He213 One-way analysis of variance (dpeaa)DE-He213 Two-way analysis of variance (dpeaa)DE-He213
topic	misc African biomedical journals misc Analysis of variance misc Misuse of analysis of variance misc One-way analysis of variance misc Two-way analysis of variance
topic_unstemmed	misc African biomedical journals misc Analysis of variance misc Misuse of analysis of variance misc One-way analysis of variance misc Two-way analysis of variance
topic_browse	misc African biomedical journals misc Analysis of variance misc Misuse of analysis of variance misc One-way analysis of variance misc Two-way analysis of variance
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Bulletin of the National Research Centre
hierarchy_parent_id	1035877007
hierarchy_top_title	Bulletin of the National Research Centre
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)1035877007 (DE-600)2946659-3
title	Misuse of analysis of variance in African biomedical journals: a call for more vigilance
ctrlnum	(DE-627)SPR047850442 (SPR)s42269-022-00924-8-e
title_full	Misuse of analysis of variance in African biomedical journals: a call for more vigilance
author_sort	Abubakar, Bilyaminu
journal	Bulletin of the National Research Centre
journalStr	Bulletin of the National Research Centre
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2022
contenttype_str_mv	txt
author_browse	Abubakar, Bilyaminu Uthman, Yaaqub Abiodun Jatau, Abubakar Ibrahim Danbatta, Abubakar Nuhu, Hafsat Nasidi Mustapha, Mohammed
container_volume	46
format_se	Elektronische Aufsätze
author-letter	Abubakar, Bilyaminu
doi_str_mv	10.1186/s42269-022-00924-8
normlink	(ORCID)0000-0002-4909-4840
normlink_prefix_str_mv	(orcid)0000-0002-4909-4840
title_sort	misuse of analysis of variance in african biomedical journals: a call for more vigilance
title_auth	Misuse of analysis of variance in African biomedical journals: a call for more vigilance
abstract	Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud. © The Author(s) 2022
abstractGer	Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud. © The Author(s) 2022
abstract_unstemmed	Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud. © The Author(s) 2022
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	1
title_short	Misuse of analysis of variance in African biomedical journals: a call for more vigilance
url	https://dx.doi.org/10.1186/s42269-022-00924-8
remote_bool	true
author2	Uthman, Yaaqub Abiodun Jatau, Abubakar Ibrahim Danbatta, Abubakar Nuhu, Hafsat Nasidi Mustapha, Mohammed
author2Str	Uthman, Yaaqub Abiodun Jatau, Abubakar Ibrahim Danbatta, Abubakar Nuhu, Hafsat Nasidi Mustapha, Mohammed
ppnlink	1035877007
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1186/s42269-022-00924-8
up_date	2024-07-03T15:23:58.682Z
_version_	1803571941797265409
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR047850442</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230508015434.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220814s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s42269-022-00924-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR047850442</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42269-022-00924-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Abubakar, Bilyaminu</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-4909-4840</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Misuse of analysis of variance in African biomedical journals: a call for more vigilance</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings. Although misuse of analysis of variance is of global concern, its prevalence in African-based biomedical journals has raised concerns among colleagues. Methods We sampled the current issues/last published issues of all African biomedical journals aggregated in an African journal aggregator. We scanned through all the journals’ sample articles in the journal aggregator and retrieved articles that either applied analysis of variance or were supposed to use the test. Results Our results show that 126 articles of the total 1789 sampled articles employed analysis of variance test for analysis. Of these, 99 (78.6%) articles used the analysis of variance test correctly, while 27 (21.4%) misused the test. Not stating the type of analysis of variance test employed for analysis was the most prevalent misuse of analysis of variance test. Conclusions In overall, the study demonstrated that misuse of analysis of variance test is prevalent in African biomedical journals. Therefore, all stakeholders (medical schools, reviewers, journal editors) need to do more to nip it in the bud.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">African biomedical journals</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Analysis of variance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Misuse of analysis of variance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">One-way analysis of variance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Two-way analysis of variance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Uthman, Yaaqub Abiodun</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jatau, Abubakar Ibrahim</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Danbatta, Abubakar</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nuhu, Hafsat Nasidi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mustapha, Mohammed</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Bulletin of the National Research Centre</subfield><subfield code="d">Berlin : Springer, 2018</subfield><subfield code="g">46(2022), 1 vom: 13. Aug.</subfield><subfield code="w">(DE-627)1035877007</subfield><subfield code="w">(DE-600)2946659-3</subfield><subfield code="x">2522-8307</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:46</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:1</subfield><subfield code="g">day:13</subfield><subfield code="g">month:08</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s42269-022-00924-8</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">46</subfield><subfield code="j">2022</subfield><subfield code="e">1</subfield><subfield code="b">13</subfield><subfield code="c">08</subfield></datafield></record></collection>
score	7.4022093

Nicht das Richtige dabei?

Schreiben Sie uns!

Misuse of analysis of variance in African biomedical journals: a call for more vigilance

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?