Deneysel ya da nedensel karşılaştırmalı çalışmalarda gruplardaki katılımcı sayısını belirlemede ise G∗Power oldukça revaçta. Ücretsiz, basit ve kullanışlı bir araç. Son baktığımda 60 bin atıf almıştı (10/11): https://t.co/lkuhi0adzP
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RT @KordingLab: Most people neglect that in the context of p-hacking most effect sizes are inflated. Producing too low power. Which then ag…
RT @KordingLab: Most people neglect that in the context of p-hacking most effect sizes are inflated. Producing too low power. Which then ag…
RT @KordingLab: Most people neglect that in the context of p-hacking most effect sizes are inflated. Producing too low power. Which then ag…
RT @NINDS4Rigor: This poll indicated many researchers find issue with underpowered studies. How do we fix this? There are programs, li…
Most people neglect that in the context of p-hacking most effect sizes are inflated. Producing too low power. Which then again produces the “need” to p hack in subsequent papers. Bad research practices compound.
This poll indicated many researchers find issue with underpowered studies. How do we fix this? There are programs, like G3*Power, that can help determine sufficient sample size (make sure you understand the underlying principles). https://t.co/uxON
Deneysel ya da nedensel karşılaştırmalı çalışmalarda gruplardaki katılımcı sayısını belirlemede ise G∗Power oldukça revaçta. Ücretsiz, basit ve kullanışlı bir araç: Faul vd. (2007). Behavior Research Methods, 39(2). https://t.co/lkuhi0adzP (11/30)
The text above is from: Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). GPower 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://t.co/71T