Making Reliability Reliable
By Eunseong Cho. 2016
284 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1bf789c31398749b5efe23d78d33c1c50dd4328d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Sabine Sonnentag
- Brent A. Scott
- Matthijs J. Warrens
- Nathan P. Podsakoff
- D. Beal
- John P Trougakos
- M. Butts
- Allison S. Gabriel
In Statistics and Probability
- Brent A. Scott
- Sabine Sonnentag
- Matthijs J. Warrens
- Nathan P. Podsakoff
- D. Beal
- John P Trougakos
- M. Butts
- Allison S. Gabriel
Citations in the corpus
- Experience Sampling Methods: A Discussion of Critical Trends and Considerations for Scholarly Advancement (2018, methodology): “Thus, we encourage researchers to employ the procedures described by Geldhof et al. in their article (Mplus syntax is provided) to estimate and report multilevel reliabilities for their Level 1 measures, identifying the specific type of reliability calculated (see also Cho, 2016).”
- An empirical analysis of alleged misunderstandings of coefficient alpha (2018, background): “To be clear, both sides in this debate seem to agree that simply always using coefficient alpha, as seems to be standard practice for many, is unjustified (Cho, 2016).”
- Alpha, Omega, and H Internal Consistency Reliability Estimates: Reviewing These Options and When to Use Them (2021, background): “, 2014; McNeish, 2018), science education (Taber, 2018), organizational research (Cho, 2016), clinical neuropsychology (Watkins, 2017), poverty measurement (Nájera Catalán, 2019), and statistics (Şimşek & Noyan, 2013).”