Significance of Cronbach's alpha
Cronbach's alpha is a statistical measure used to assess the internal consistency and reliability of questionnaires and scales. It indicates how well the items within a questionnaire measure the same construct, with higher values signifying better reliability. Different fields, including Ayurveda, Science, and Psychiatry, utilize Cronbach's alpha to evaluate various assessment tools, with acceptable values typically ranging from 0.70 to above 0.90. This measure is crucial for ensuring that instruments provide reliable and consistent results across studies.
Synonyms: Reliability coefficient, Internal consistency, Measurement reliability
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'Cronbach's alpha'
In Hinduism, Cronbach's alpha signifies a statistical measure used to evaluate the reliability and internal consistency of questionnaires, reflecting how well items measure the same construct, particularly in tools like the Prakriti assessment.
(1) This statistical measure was used to assess the internal consistency of the questionnaire, with different values indicating varying levels of reliability.[1] (2) This is a statistical measure used to assess the internal consistency and reliability of the questionnaire, with values indicating the degree to which the items within the questionnaire measure the same construct.[2] (3) This is a statistical test run to assess the test-retest reliability of the questionnaire, providing a measure of internal consistency for the Prakriti assessment tool.[3]
The concept of Cronbach's alpha in scientific sources
Cronbach's alpha is a statistical measure assessing the internal consistency reliability of questionnaires. Values between 0.70 and 0.80 indicate good reliability, with higher values reflecting stronger consistency among items measuring the same construct.
(1) This is a statistical measure used to assess the internal consistency or reliability of a questionnaire or survey.[4] (2) This statistical measure was used to assess the internal consistency of the SHAPS-M, and the high value indicated a high level of homogeneity among the items.[5] (3) This is a statistical measure of internal consistency, which assesses how well the items in a questionnaire measure the same construct, and it was used in the study.[6] (4) A statistical measure of internal consistency, assessing how well items in a scale measure the same construct, which is used in the study.[7] (5) Cronbach's alpha is used to verify the questionnaire's reliability along with item-total correlation.[8]
(1) The study assessed reliability by applying this to test the internal consistency of the constructs in the survey questionnaire, to ensure the reliability of the study.[9] (2) A statistical measure used to assess the internal consistency or reliability of a set of items within a scale or instrument.[10] (3) A measure of internal consistency, used to assess the reliability of the scales used in the research, such as the Schutte Emotional Intelligence Scale and the Rotter Internal-External Locus of Control Scale.[11] (4) This statistical measure is used to assess the reliability of the measurement scales used in the study, as detailed in the methodology section of the text.[12] (5) This is a statistical measure of internal consistency, with values of 0.7 considered acceptable and 0.8 reflecting excellent internal consistency.[13]
(1) This is a statistical measure used to assess the internal consistency of a questionnaire, indicating how well the items within the questionnaire measure the same construct.[14] (2) This is a statistical measure of the internal consistency or reliability of a scale or test.[15] (3) This is a statistical measure used to assess the internal consistency reliability of a scale, with a value of 0.97 indicating excellent reliability for the Reintegration to Normal Living Index.[16] (4) This is a statistical measure used to assess the internal consistency of a set of items in a test or scale. It helps to determine the reliability of the instrument.[17]
(1) Cronbach’s alpha was used to calculate the reliability of the SAS, with a value of 0.691 for 19 items, which is considered acceptable for measuring internal consistency within the assessment tool.[18] (2) Cronbach's alpha is a statistical measure used to assess the internal consistency reliability of the questionnaires, ensuring that the items measure the same construct.[19]
(1) This term refers to a statistical test used to measure the internal consistency of a questionnaire, assessing how well items designed to measure a specific concept actually relate to each other.[20]
(1) This statistical measure is used to assess the reliability of the RUSS, indicating its internal consistency.[21] (2) This is a statistical measure of internal consistency, indicating how well the items in a scale or questionnaire measure the same construct or concept.[22] (3) This is a measure used to determine the internal consistency or reliability of the Alcohol, Smoking and Substance Involvement Screening Test, evaluating the extent to which different items on the test measure the same construct.[23] (4) This statistical measure is used to assess the internal consistency reliability of a scale, indicating how well the items within the scale measure the same construct.[24] (5) Cronbach’s alpha is a statistical measure used to assess the internal consistency of a test, with higher values indicating greater reliability and consistency among the test items, like the Beck Anxiety Inventory.[25]