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Isbell, Daniel R.; Brown, Dan; Chen, Meishan; Derrick, Deidre J.; Ghanem, Romy; Arvizu, María Nelly Gutiérrez; Schnur, Erin; Zhang, Meixiu; Plonsky, Luke – Modern Language Journal, 2022
Scientific progress depends on the integrity of data and research findings. Intentionally distorting research data and findings constitutes scientific misconduct and introduces falsehoods into the scientific record. Unintentional distortions arising from questionable research practices (QRPs), such as unsystematically deleting outliers, pose…
Descriptors: Data Analysis, Applied Linguistics, Research Problems, Integrity