Originators of Reliability Coefficients : A Historical Review of the Originators of Reliability Coefficients Including Cronbach’s Alpha

Cho, Eunseong; Chun, Sung Yong

doi:10.20997/sr.19.2.4

Cited by 12 publications

(13 citation statements)

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“…Its name is probably given because entering standardized covariances (i.e., correlations) into the formula of α yields the same value as this coefficient. However, it is a multiitem generalization of the Brown-Spearman formula rather than another version of α (Cho & Chun, 2018). For equal reliability, it requires a stricter condition than α: The data must be parallel.…”

Section: Literature Reviewmentioning

confidence: 99%

The accuracy of reliability coefficients: A reanalysis of existing simulations.

Cho¹

2024

Psychological Methods

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Controversy over which reliability estimators should be used persists due to a lack of knowledge about their accuracy. Simulation is an effective tool to obtain an answer, but existing simulation studies yield contradictory results regarding which reliability estimators are the best. The causes of these inconsistent conclusions have yet to be discussed. This study reanalyzes existing studies to understand these contradictions. The most important reason is that previous studies consider only a few reliability estimators. This study examines approximately 30 reliability estimators and finds that there is no single, most accurate reliability estimator across all data types. Instead, several reliability estimators are accurate to comparable levels for unidimensional data (congeneric reliability, Guttman's lambda2, and ten Berge-Zegers's mu). Likewise, multiple reliability estimators perform similarly for multidimensional data (multidimensional parallel reliability, correlated factors reliability, and second-order factor reliability). Whereas many recent studies support factor analysis (FA) reliability estimators, this study shows that not all FA reliability estimators are accurate and that some cause severe overestimation.

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Section: Literature Reviewmentioning

confidence: 99%

The accuracy of reliability coefficients: A reanalysis of existing simulations.

Cho¹

2024

Psychological Methods

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“…A value above 0.70 is considered acceptable: below this, the scale is not consistent enough. Cronbach's alpha values are lower for adaptive and direct selling propensity if an item in any scale is omitted (Cho -Chun 2018).…”

Section: Methodsmentioning

confidence: 98%

Factors influencing the willingness of Hungarian sour cherry growers to operate in a short supply chain

Ványi

Felföldi

2021

SocEc

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Although a number of studies have been conducted over the past decade to understand the factors influencing the willingness of producers to operate in a short supply chain (SSC), the intention to adapt can still be identified as an unexplored area. The main aim of the present study is to determine the extent to which Hungarian fresh sour cherry producers show a willingness to operate in a short supply chain and what investments they would make to do so. The sour cherry producers involved in the study clearly show a willingness to operate in a short supply chain. Some producers approach this in a “complex” manner, so they would even meet individual consumer needs and deliver orders to the consumer. Farmers opting for a “simpler” solution would prefer to sell their products to the consumer at their premises or at farmer’s markets. Further results support the fact that the more producers believe in the viability and future of SSCs and the higher their level of education is, the more willing they are to adapt in terms of resources or production processes in order to achieve complete transition. The results reflect the importance of examining the factors that determine farmers’ intentions to operate in the short supply chain, but it is also worthwhile and justified to explore how willing they are to “sacrifice” and invest in order to completely adapt.

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“…The robustness of our questionnaire was verified through reliability analysis. The commonly used reliability coefficients include Cronbach's alpha (α), Alpha, split-half reliability, Kuder-Richardson formula, and Guttman split-half reliability [21]. This paper selects the Cronbach's α to measure the reliability of our questionnaire.…”

Section: Data Sourcesmentioning

confidence: 99%

Perception of Ecological Welfare from the Recycling of Agricultural Resources and Its Influencing Factors

Geng¹

2020

IJSDP

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This paper attempts to disclose how micro-subjects perceive the ecological welfare from the recycling of agricultural resources, and what are the factors affecting the perception. Firstly, the current status of modern agriculture was introduced, and the connotation of ecological welfare was explained in details. Then, the ecological welfare was divided into three aspects, namely, air quality change, water quality change, and farmland quality change. Meanwhile, eleven variables were selected, including seven personal variables and four external variables. The research data were collected through a questionnaire survey on farmers in Heilongjiang Province, China, and subjected to sequential logistics regression (SLR). The results show that the farmers could perceive the ecological welfare, which stems from the recycling of agricultural resources, much more effectively, if the recycling is industrialized and up-scaled, well-educated professional farmers are trained, and rural infrastructure is improved. The research findings provide a guidance for farmers to engage in the recycling of resources.

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Originators of Reliability Coefficients : A Historical Review of the Originators of Reliability Coefficients Including Cronbach’s Alpha

Cited by 12 publications

References 0 publications

The accuracy of reliability coefficients: A reanalysis of existing simulations.

The accuracy of reliability coefficients: A reanalysis of existing simulations.

Factors influencing the willingness of Hungarian sour cherry growers to operate in a short supply chain

Perception of Ecological Welfare from the Recycling of Agricultural Resources and Its Influencing Factors

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