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Cronbach alpha for Likert scale data reability?

Kuder–Richardson Formula 20

Polytomous Rasch model

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Cronbach's alpha is commonly used to estimate the internal consistency of Likert scale data . However, critiques suggest limitations in its application, emphasizing the need for alternatives like the ordinal alpha and beta coefficients, which consider the ordinal nature of Likert scale responses . While Cronbach's alpha can indicate interrelatedness among items, a high value does not guarantee reliability or a unidimensional construct . For polytomous data, KR20 and KR21 have been proposed as reliable estimators, showing a linear relationship with Cronbach's alpha and offering stability advantages over factor analysis-based estimators . These findings highlight the importance of considering alternative reliability estimators, especially when dealing with Likert scale data, to ensure accurate and robust measurement of constructs.

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Open access•Journal Article Coeficientes de fiabilidad para escalas de respuesta categórica ordenada Paula Elosua Oliden, Bruno D. Zumbo - Show less +1 more 31 Dec 2008-Psicothema 346 Citations	Ordinal alpha and beta coefficients are more suitable for Likert scale data reliability compared to Cronbach's alpha, as they consider the ordinal nature of the responses.
Open access•Journal Article•DOI Adieu coefficient alpha de Cronbach! J’ai trouvé plus fidèle que toi… Sébastien Béland, Denis Cousineau - Show less +1 more 27 Nov 2018 3 Citations	Cronbach's alpha may not be the best measure for Likert scale data reliability. Consider alternatives like the great lower bound and omega for more accurate reliability estimation.
Open access•Journal Article•DOI Cronbach’s alpha in mathematics education research: Its appropriateness, overuse, and alternatives in estimating scale reliability Yusuf F. Zakariya 22 Dec 2022-Frontiers in Psychology 1 Citations	Cronbach's alpha is critiqued for overuse in scale reliability estimation. It measures interrelatedness, not reliability; alternatives and verification steps are suggested for Likert scale data in mathematics education research.
Journal Article•DOI Assessing the Reliability of Attitude Scale by Cronbach's Alpha Sagar Kisan Wadkar, Khajan Singh, Ritu Chakravarty, Shivaji D. Argade - Show less +3 more 01 Jan 2016-Journal of Global Communication 17 Citations	Cronbach's alpha coefficient (α = .91) was used to assess the reliability of the Likert scale in the study, indicating strong internal consistency among the selected items.
Open access•Posted Content•DOI A KR20 and KR21 for Likert Scale Data Giacomo Scalari 28 Feb 2022	The KR20 for Likert scale data is a linear transformation of Cronbach's alpha. KR20 and KR21 are reliable estimators for polytomous data, including Likert scales.

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Acceptable cronbach alpha?5 answersThe acceptability of Cronbach's alpha as a measure of scale reliability is a topic of debate in research. While a common threshold of α ≥ 0.70 is often used to indicate acceptable reliability, this value alone may not be sufficient to guarantee the reliability of a measurement instrument. Authors frequently cite alpha values without providing in-depth explanations or considering potential issues with the scale. Some researchers argue that Cronbach's alpha may not be the most suitable measure of reliability, suggesting alternatives like the great lower bound and omega. Additionally, it is highlighted that alpha is not directly related to a scale's internal structure, and factor-analytic evidence should be presented to assess scale quality effectively.

The scale of high, moderate and low reliability of Cronbach alpha??5 answersThe reliability of Cronbach's alpha can be categorized as high, moderate, or low based on specific thresholds. A coefficient equal to or greater than 0.70 is generally considered indicative of good reliability, suggesting high reliability. Conversely, a value below 0.70 may signal moderate to low reliability, prompting further scrutiny of the scale's items and structure. However, it is crucial to note that Cronbach's alpha has limitations in assessing scale quality, as it is not directly related to a scale's internal consistency or reliability. To address these limitations, alternative measures like the Greatest Lower Bound or Omega are recommended for a more accurate evaluation of scale reliability and quality.

Why cronbach alpha is used for validation of instrument?5 answersCronbach's Alpha is utilized for instrument validation due to its significance in assessing the internal consistency of scales. This statistic is crucial in determining the reliability of research instruments, as it measures how closely related a set of items are as a group. Authors often rely on Cronbach's Alpha to demonstrate the suitability of tests and scales for research purposes, especially in fields like science education. It is commonly used to ensure that the instrument is reliable and consistent in measuring what it is intended to measure, thus validating its effectiveness in collecting accurate data. Therefore, Cronbach's Alpha plays a vital role in confirming the reliability and internal consistency of research instruments, making it a key component in the validation process.

What is cronbach alpha?4 answersCronbach's alpha is a widely used metric for assessing the reliability of psychological measures. It indicates the extent to which the items in a questionnaire are related to each other, providing a coefficient for assessing internal consistency. However, there are critiques of coefficient alpha, suggesting its limited usefulness and overuse in estimating scale reliability. It is important to note that a high coefficient alpha value does not necessarily mean the instrument is reliable or measures a single construct. Coefficient alpha can only be dependable under specific conditions, which need to be verified in empirical studies. There are alternatives to coefficient alpha that can be explored.

What is cronbach's alpha?5 answersCronbach's alpha is a widely used measure of the reliability or internal consistency of psychological and biomedical research measures. It assesses the extent to which items in a questionnaire are related to each other and provides a coefficient for evaluating the consistency of the items within the measure. However, there are critiques and limitations to using Cronbach's alpha as the sole indicator of scale reliability. It is important to note that a high alpha value does not necessarily mean the instrument is reliable or measures a single construct. Researchers should consider alternative measures and verify the conditions under which Cronbach's alpha can be dependable.

What is the acceptable range of reliability for a 10-item questionnaire using Cronbach's alpha?5 answersThe acceptable range of reliability for a 10-item questionnaire using Cronbach's alpha is typically considered to be equal to or greater than 0.70. This coefficient is used as an estimate of the reliability of a psychometric test and can be calculated for each item in the scale or as an average value for all items in the scale. A low value of alpha could be due to a low number of questions in the scale, while a high value (>0.90) may suggest redundant items in the scale.

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