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Dr. Deivam M, profile picture
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Selective reporting and misrepresentation of data.pptx

El informe aborda la problemática del 'informe selectivo' y la 'representación errónea de datos' en la investigación, donde se omiten datos que contradicen hipótesis deseadas o se manipulan para encajar en una narrativa. Destaca las consecuencias dañinas de estas prácticas, como la desconfianza pública en la ciencia y el daño a la salud de los pacientes. Se sugieren medidas para prevenir estas conductas, incluyendo promover la transparencia y educar a los investigadores sobre prácticas éticas.

Education◦
Selective reporting (cherry-picking) and misrepresentation of data Dr.M.Deivam Assistant Professor Department of Education H.N.B Garhwal University (A Central University) S.R.T Campus, Tehri Garhwal Uttarakhand – 249 199
•Selective reporting, also known as "cherry-picking," involves intentionally omitting data or findings that contradict the desired outcome or hypothesis. This can include: •Reporting only statistically significant results: Ignoring non- significant findings that might paint a different picture. •Selectively choosing data points: Excluding data that doesn't fit the desired trend or pattern. •Failing to report methodological flaws: Hiding limitations or problems with the research design or data collection that could impact the interpretation of results.
Misrepresentation of Data •Misrepresentation of data goes a step further by actively distorting or manipulating data to fit a particular narrative. This can take various forms: •Data fabrication: Making up data that was never collected. •Data falsification: Altering or manipulating existing data to change the results. •Manipulating images or figures: Adjusting images or graphs to misrepresent the data. •Misinterpreting statistical analyses: Drawing incorrect or misleading conclusions from the data.
Harmful practices • Misleading the scientific community: False or incomplete information can lead other researchers down the wrong path, wasting time and resources. • Undermining public trust: When research misconduct is exposed, it erodes public confidence in science and can have real-world consequences for policy decisions and public health. • Harming patients: Medical decisions based on flawed or fabricated research can have serious consequences for patient health and well- being. • Damaging the careers of researchers: Those who engage in these practices face serious consequences, including retraction of publications, loss of funding, and damage to their reputation.
Preventing Selective Reporting and Misrepresentation: • Promoting a culture of transparency: Encouraging open data sharing, pre-registration of studies, and transparent reporting of methods and results. • Strengthening peer review: Reviewers should be attentive in scrutinizing data presentation and requesting raw data when necessary. • Educating researchers: Providing training on ethical research practices, data management, and responsible reporting. • Enforcing consequences: Institutions and funding agencies must have clear policies and procedures for investigating allegations of misconduct and taking appropriate action.
References • Dooly, M., Moore, E., & Vallejo, C. (2017). Research ethics. Research-publishing. net. • Barrow, J. M., Brannan, G. D., & Khandhar, P. B. (2017). Research ethics. • Israel, M., & Hay, I. (2006). Research ethics for social scientists. Sage.
Thank You