Reliability refers to the consistency, stability, and reliability of test results, and is generally represented by internal consistency to determine the level of reliability of the test. The higher the reliability coefficient, the more consistent, stable, and reliable the results of the test.

    The systematic error has little impact on reliability, as it always affects the measured values in the same way and therefore does not cause inconsistency. On the contrary, random errors may lead to inconsistency, thereby reducing reliability.

    Data description:

    Here, A1~A10 are used for analysis, and the analysis table is as follows:

    According to reliability analysis, there are 10 items in this data, and the Cronbach Alpha reliability coefficient is 0.848, which meets the standard of greater than 0.7. It can be seen that the results are good and the test performance is stable, indicating that the reliability quality of the research data is good.

    The CITC between each question item meets the requirement of greater than 0.5, indicating that the setting of each question item is good and the reliability of the questionnaire is good. At the same time, by excluding and observing the items, the specific method is to delete each item once. If the reliability index does not improve after deletion, it is considered that the measurement item of the variable is set very important and has good reliability.

    The following is an explanation of the calculation result indicators:

    1.Corrected Item Total Correlation: Corrected Item Total Correlation refers to the calculation of the correlation between each question (or variable) and the total score of the measurement tool. It measures the internal consistency between each question and the overall measurement. Specifically, the total correlation of the correction terms can help us evaluate the contribution of each question to measurement accuracy and exclude questions that have weaker overall measurement relationships.

    2.Alpha value deleted: Alpha is a commonly used reliability coefficient used to evaluate the internal consistency of measurement tools. It can reflect the degree of correlation between the various questions of the measurement tool, that is, whether the questions can collectively reflect the characteristics of the measured concept. The deleted alpha value refers to the alpha value obtained by removing a certain question from the original measurement tool when calculating the alpha coefficient. The deleted alpha value is used to evaluate the contribution of each question to the overall internal consistency of the measurement tool. This value can help us determine whether a certain question has a significant impact on the overall alpha coefficient. If the Alpha value that has been deleted is low, it usually means that the contribution of the question to overall consistency is small, and it can be considered to be removed from the measurement.

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