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Journal ArticleDOI

Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But…

Andrew F. Hayes, +1 more
- 11 Feb 2020 - 
- Vol. 14, Iss: 1, pp 1-24
TLDR
Cronbach's alpha (α) is a widely used measure of reliability used to quantify the amount of random measurement error that exists in a sum score or average generated by a multi-item measurement scalar.
Abstract
Cronbach’s alpha (α) is a widely-used measure of reliability used to quantify the amount of random measurement error that exists in a sum score or average generated by a multi-item measurement scal...

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Citations
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Journal ArticleDOI

Alpha, Omega, and H Internal Consistency Reliability Estimates: Reviewing These Options and When to Use Them

TL;DR: In this paper, the quality of client care is, in part, based on the proper interpretation of test scores, and reliability evidence of test score is essential in counseling research and program evaluation.
Journal ArticleDOI

Omega over alpha for reliability estimation of unidimensional communication measures

TL;DR: This primer reviews Cronbach's alpha and ω, and explains why ω should be the new ‘gold standard’ in reliability estimation, and lists several easy-to-use resources to calculate ω in other software programs.
Journal ArticleDOI

Explaining the success of social media with gratification niches: Motivations behind daytime, nighttime, and active use of TikTok in China

TL;DR: TikTok's potential for competitive displacement of other social media apps seemed to be “time-of-day-specific” with trendiness driving daytime use, novelty driving nighttime use, and posting TikTok videos being driven by socially rewarding self-presentations.
Journal ArticleDOI

My Smart Speaker is Cool! Perceived Coolness, Perceived Values, and Users’ Attitude toward Smart Speakers

TL;DR: The findings revealed that consumers’ attitude toward smart speakers was influenced by functional, hedonic, and economic value, but not by social value, and the attitude was found to be a strong predictor of continuance intention.
Journal ArticleDOI

The Influence of Work-Family Conflict on Burnout during the COVID-19 Pandemic: The Effect of Teleworking Overload.

TL;DR: In this paper, the impact of work-family conflict on burnout, considering work overload, in teleworkers during the COVID-19 pandemic was analyzed, and the results indicated that there was a positive relationship between work family conflict and family-work conflict and all the dimensions of burnout.
References
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Journal ArticleDOI

Coefficient alpha and the internal structure of tests.

TL;DR: In this paper, a general formula (α) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half coefficients resulting from different splittings of a test, therefore an estimate of the correlation between two random samples of items from a universe of items like those in the test.
Journal ArticleDOI

Society and the Adolescent Self-Image

D. J. Lee
- 01 May 1969 - 

The Big Five Trait taxonomy: History, measurement, and theoretical perspectives.

TL;DR: The Big Five taxonomy as discussed by the authors is a taxonomy of personality dimensions derived from analyses of the natural language terms people use to describe themselves 3 and others, and it has been used for personality assessment.
Journal ArticleDOI

What Is Coefficient Alpha? An Examination of Theory and Applications

TL;DR: A review of the Social Sciences Citations Index for the literature from 1966 to 1990 revealed that Cronbach's (1951) article had been cited approximately 60 times per year and in a total of 278 different journals.
Related Papers (5)
Trending Questions (3)
What iscronbach alpha test?

Cronbach's alpha is a measure of reliability used to assess random measurement error in multi-item scales, but the paper suggests using Omega for better reliability estimation.

What’s the accptable crompbh alpha for reliability?

Use Omega instead of Cronbach’s Alpha for estimating reliability. Cronbach’s Alpha is widely used but Omega is recommended for better accuracy in quantifying random measurement error.