scholarly journals Differential exposure to, and potential impact of, unhealthy advertising to children by socio‐economic and ethnic groups: A systematic review of the evidence

2020 ◽  
Author(s):  
Kathryn Backholer ◽  
Adyya Gupta ◽  
Christina Zorbas ◽  
Rebecca Bennett ◽  
Oliver Huse ◽  
...  
BMJ ◽  
2012 ◽  
Vol 344 (may18 1) ◽  
pp. e2809-e2809 ◽  
Author(s):  
E. A. Akl ◽  
M. Briel ◽  
J. J. You ◽  
X. Sun ◽  
B. C. Johnston ◽  
...  

2021 ◽  
Author(s):  
Evan Giangrande ◽  
Eric Turkheimer

In 2020, Pesta et al. published “Racial and ethnic group differences in the heritability of intelligence: A systematic review and meta-analysis” in Intelligence. The authors frame their analysis as an examination of the Scarr-Rowe hypothesis, which holds that the heritability of intelligence varies as a function of socioeconomic status. Pesta et al. (2020) conclude that the heritability of intelligence does not differ across racial and ethnic groups in the United States. They claim their results challenge the Scarr-Rowe hypothesis and support the hereditarian position that mean differences in IQ among racial and ethnic groups are attributable to genetic differences rather than environmental disparities. In this reply, we outline severe theoretical, methodological, and rhetorical flaws in every step of Pesta et al.’s meta-analysis. The most reliable finding Pesta et al. report is consistent with the Scarr-Rowe hypothesis and directly contradicts a hereditarian understanding of group differences in intelligence. Finally, we suggest that Pesta et al. (2020) serves as an example of how racially motivated and poorly executed work can find its way into a mainstream scientific journal, underscoring the importance of robust peer review and rigorous editorial judgement in the open science era.


2020 ◽  
Vol 46 (2-3) ◽  
pp. 300-321 ◽  
Author(s):  
Ye Sun ◽  
Zhongdang Pan

Abstract Publication bias has been recognized as a threat to the validity of meta-analytic findings and scientific knowledge in general. Given the recent rise in meta-analytic research in communication, how well publication bias concerns are addressed by communication meta-analysts merits attention. In this essay, after a brief overview of publication bias and some major methods of assessment, we provide a systematic review of meta-analyses published in six major communication journals between 2005 and 2018. The review focuses on two aspects of addressing publication bias in meta-analyses: (a) reducing the potential impact of bias via an inclusive literature search; and (b) empirically assessing the extent and impact of bias in meta-analytic findings. Our review shows that the current practices in communication meta-analyses are inadequate in both aspects. We offer recommendations on ways of improving practices in meta-analyses, as well as in research and publication processes, to better safeguard knowledge claims.


2011 ◽  
Vol 16 (1) ◽  
pp. 85-100 ◽  
Author(s):  
Beng Huat See ◽  
Carole Torgerson ◽  
Stephen Gorard ◽  
Hannah Ainsworth ◽  
Graham Low ◽  
...  

2012 ◽  
Vol 43 (2) ◽  
pp. 261-286 ◽  
Author(s):  
Natalie Evans ◽  
Arantza Meñaca ◽  
Erin V.W. Andrew ◽  
Jonathan Koffman ◽  
Richard Harding ◽  
...  

BMJ Open ◽  
2017 ◽  
Vol 7 (7) ◽  
pp. e015005 ◽  
Author(s):  
Komil N Sarwar ◽  
Phoebe Cliff ◽  
Ponnusamy Saravanan ◽  
Kamlesh Khunti ◽  
Krishnarajah Nirantharakumar ◽  
...  

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