Is it true that the reliability coefficient of the test is high, and the elimination of the test is

Wrong. Reliability and validity are two completely different concepts.

Reliability is the consistency of multiple measurement results, such as the test paper of the exam, usually there are A paper, B paper, or even C paper, D paper, people in the same examination room may do different test papers, but the reliability of these test papers is the same first, because no matter which test is used, it can measure the same level of different students. If there is a large difference in grades between different papers, there is no reliability.

Validity is a measure of whether the designed questions are well aligned with the main content of validated learning. As an extreme example, if the English test is a language paper, it has no validity at all, and the validity is 0

So high reliability does not equal high validity, and high validity does not equal high reliability.

This sentence is correct, if the credibility of the test is high, it must be an indicator of detection, and there are more standards that meet the standards. The results of this test are also more valuable for reference.

If the depth coefficient of the test is relatively high, the validity of the test is also good, this sentence is true, because the speed of your test is relatively high, and the limit of the test is also high.

If the reliability coefficient of the test is high, then the degree of the test is also good, and this sentence is correct. They should be a proportional relationship, so you can look at their results.

Is it true that the limit is a kind of advanced millennium depth? It's more right, if you were like this the year before last, Gao Qian's income must be very good, this doesn't need to be right.

His little mistake in this place should be right.

Is it true that if the reliability coefficient of the test is high, the validity of the test is also good? This statement is true, the two of them are directly proportional.

The more reliable the test, the higher the validity of the test, and the higher the implicit guess, which is false.

Test Reliability Content:

1. The length of the test: Since the test is a sample of measurement, the appropriateness of sampling will inevitably affect the reliability of the test. If the number of questions is too small to represent the entire closed-module learning content, such a test must be accidental, and its reliability cannot be very high.

To improve reliability, in general, increasing the length is an effective method.

2. Test difficulty: There is no simple relationship between the difficulty of the test and the reliability. However, if the test is too difficult or too easy for a group, the score range will be narrowed and the confidence will be reduced. This suggests that for the highest level of reliability, the level of difficulty that produces the widest distribution of scores is acceptable.

When the difficulty of the test questions is too high, far beyond the ability level of the participants, and the participants make random responses to many items, that is, blind guessing, the total score of all participants is close to the random facets, so its reliability is extremely low. Conversely, if the test is too easy and almost all the participants can answer correctly, the score distribution is very concentrated, so the reliability is also low.

Validity Implications:

Validity is the degree to which a measure is valid, i.e., the degree to which the measurement tool can actually measure the trait it is intended to measure, or simply the accuracy and usefulness of a test. Validity is the most important condition that a scientific measurement tool must have. In social measures, the validity of questionnaires or scales as measurement tools is required.

The identification validity should clarify the purpose and scope of the measurement, consider the content to be measured, analyze its nature and characteristics, check whether the content of the measurement is consistent with the purpose of the measurement, and then judge whether the measurement results reflect the degree of the characteristics to be measured; The validity of any test is focal-based for a certain goal, or a test is only valid if it is used for a purpose and in a situation that is consistent with the goal of the test. Therefore, when evaluating the validity of a test, the purpose and function of the validity test must be considered.

Reliability refers to how reliable a score is measured.

1. Reliability is reliability, which refers to the degree to which the results obtained are consistent when the same method is used to repeatedly measure the same object. On the other hand, reliability refers to the reliability of the measured data.

2. Reliability refers to the consistency, stability and reliability of the test results, and the reliability of the test is generally expressed by internal consistency. The higher the reliability factor, the more consistent, stable and reliable the results of the test.

3. Systematic error has little effect on reliability, because systematic error always affects the measured value in the same way, so it does not cause inconsistency. Conversely, random errors can lead to inconsistencies, which can reduce reliability.

Answer]: C reliability refers to the stability of test results, also known as consistency. Validity refers to the validity of test results.

Here's what's wrong.

Reliability, also known as reliability, refers to the degree of consistency and stability of measurement results.

Validity, or validity, refers to the degree to which a measurement tool or means can accurately measure what needs to be measured. There are three types of validity: content validity (measuring the appropriateness and conformity of content), criterion validity, and structural validity base coarseness.

The relationship between reliability and validity is not symmetrical, in which reliability is the premise and basis of validity, and validity is the purpose and destination of reliability. Any measurement can only be scientific if the dialectical unity of the two is achieved.

There are several types of relationships between reliability and validity: credible and valid, credible but invalid, untrustworthy and invalid.

Answer]: Reliability refers to the degree of stability of the measurement results, that is, the degree of consistency between multiple measurements, reflecting random errors. Validity refers to the degree to which a test or scale can measure the psychological trait it wants to measure, i.e., whether it is accurate or not, and is a comprehensive reflection of systematic error and random error.

The relationship between reliability and validity is as follows: High reliability is a necessary but not sufficient condition for high validity of the lesion, that is, high reliability does not necessarily mean high validity, and high reliability must be high. The validity of a test is limited by its reliability.

A test with low reliability must have a low validity. Systematic error can only affect validity, but random error is related to reliability and validity.

Answer] :d In general, a test tool with a reliability coefficient of not less than is considered to be of good reliability.

Answer]:b In general, test tools with a reliability coefficient of not less than are considered to be of good reliability.