Analysis of Cornell food article

Analysis of Cornell Food Research Article Your Name Course and Section Professor's Name June 12, 2024 Understanding how to analyze an article is essential for any researcher. Accordingly, the subsequent sections aim to understand the NPR article "Cornell Food Researcher's Downfall Raises Larger Questions for Science" by Brett Dahlberg (2018). Accordingly, this article discusses the scandal surrounding Cornell food researcher Brian Wansink, whose scientific credibility has been suspicious. This case raises several questions about the state of proper scientific research and the use of statistically valid techniques among scientists (Dahlberg, 2018). Statistical Concerns Several statistical concerns underpin the controversy, particularly regarding the creation and production of these articles. Upon analyzing the said article, here are some of them. 1 Data Manipulation and Fabrication: It was established that Wansink's studies used dishonest methodologies and other unethical practices regarding data manipulation to fit hypotheses. This is a severe abuse of research protocol as it leads to invalid studies that are useless to anybody. Data representation is one of the most crucial aspects and essential to statistical analysis, and manipulating data to get a befitting value is unethical (Dahlberg, 2018; Laine, 2019). 2 P-Hacking: Additionally, the article consistently tests the sample through various hypotheses until seemingly "valid" conclusions are reached by chance. P-hacking increases the size of the Type I error rate and, therefore, increases cases of false positives. In Wansink's case, such practices were interpreted to mean that many of his significant discoveries were likely influenced by positive results from multiple tests rather than the actual effects (Gelman, 2018). 3 Selective Reporting: Third is the i...