Using the Kruskal-Wallis H Test to Compare Citation Differences Among Communication Areas of Specialization in the Title of the Article
DOI:
https://doi.org/10.62477/3pavkn13Keywords:
knowledge management, artificial intelligence, article titles, bibliometrics, communication specializations, citation analysis, familywise error, homoscedasticity, impact factors, Kruskal-Wallis H Test, reference librariansAbstract
This study examines how including specific communication areas of specialization “in the title of an article” affects its citation count. Using Google Scholar’s “Cite By” data and the Kruskal-Wallis H test, a method used when the data is non-parametric and violates the assumption of normal distributions, we compared citation numbers for 480 articles across 12 National Communication Association (NCA) specializations, ranked by search results. Articles were categorized based on whether the specialization appeared in the title (experimental) or anywhere else in the article (as baseline control). Tier 1 analysis, comparing six groups, resulted in H (5, 240) = 69.144, p< .001, with a large effect size of ????2≈0.2741. The Tier 2 analysis, comparing six different groups, resulted in H (5, 240) =59.257, p< .001, with a large effect size of ????2≈0.2319. A contribution to knowledge management, our findings indicate that keyword placement in the title of the article is an effective tool which influences scholarly impact. Keywords in the title of the article is a powerful and generally effective tool for maximizing citation counts in the communication field, though its impact can vary depending on the specific area of specialization.