Excuse me, what is consensus validity ?

Consensus validity refers to the mutual affirmation of the two constructions when the individual's realistic construction of self is consistent with the construction of social and cultural reality under the category of psychology, and this kind of mutual affirmation of the conscious construction of reality is called consensus validity.

Validity. Hanyu Pinyin] xiaodu

Chinese entry] validity.

Foreign language entry] validity

The degree of validity of the measurement. That is, the degree to which the measuring tool is able to measure the characteristics it is intended to measure. Validity is the most important condition that a scientific measurement tool must have.

In social measures, there is a high requirement for the validity of questionnaires or scales as measurement tools. The discriminatory 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.

This paragraph] content validity.

Rely on logic to judge whether a measurement tool is effective, rely on the understanding of the concept to identify whether the characteristics of the variable are taken into account, the various characteristics of the concept at the theoretical level, and the measurement at the empirical level should also have, if the two coincide, it means that there is content validity; Otherwise, there is no content validity.

This paragraph] criterion validity (**validity).

There may be multiple measures of the same concept, and if one of them becomes the criterion, the other can be compared to determine its validity. While one measure A has content validity, the criterion validity of another measure B is determined by A; If a sample is tested and shows that B is highly correlated with A, the validity of Criterion B is high.

This paragraph] constructive validity (conceiving validity).

If, at the theoretical level, the concept x is related to the concept y, then the measurement of x at the empirical level is also related to the measurement of y, and if there is another measurement of x, it should also be related to the measurement of y, which is called construct validity. For example, X is "work motivation", Y is "emphasis on spare time learning", and X and Y are related at a theoretical level, i.e., the higher the work motivation, the more emphasis is placed on spare time learning. Measuring x (the degree of approval for "having a good job") and y (the amount of time spent studying in the spare time each day) is necessarily correlated with .

Now if x has another measure (how much work is done), and if it is related to the measurement of , it is said to have construct validity.

This paragraph] validity appraisal procedure.

From content validity, to criterion validity, to constructive validity, it can be regarded as a progressive, that is, constructive validity requires more information than criterion validity, and criterion validity requires more information than content validity.

Validity has higher requirements than reliability, reliability is a necessary condition for validity, and measurement tools without reliability cannot be said to have validity, but measurement tools with high reliability may not have high validity.

Consensus validity is the criterion for reaching a consensus on one thing, and other consensus is measured by this consensus.

Effect wheel inspection tolerance: the effectiveness of measuring the amount of wax spring is not stuffy.

You don't know you very clearly about that.

Validity refers to the degree to which a measurement tool is able to measure the characteristics it is trying to measure. The higher the validity, the better the measurement will show the characteristics it is trying to measure. If it is said that a person, object or event can be distinguished according to a certain feature, then to say that a measurement tool that measures that feature is effective means that its measurement results can effectively distinguish people, objects or events with different characteristics.

Commonly used ones are variable validity, content validity, and criterion validity.

Surface validity refers to the degree of kiss between the measured effect and the impression in people's minds or the consensus formed by the academic community.

Content validity refers to the extent to which the measurement covers the full range of the concept being measured, and the more honorable the concept defined by the measurement tool, the higher the content validity.

Criterion validity refers to the degree of agreement between a measurement and a number of standards that accurately represent the concept being measured.

You can first understand the meaning of credibility and validity. To put it simply, reliability refers to the consistency of test results, and validity refers to the degree to which the test results meet the true purpose of the original test, i.e., accuracy. The accuracy of the results is not the same as consistency, because the results may be consistent, but they all "deviate" from the original purpose.

Eco-validity refers to the validity of your research results outside of the experimental context, i.e., in the natural environment.

k=r(kk)x[1-r(xx)] r(xx)x[1-r(kk)] where: k - the ratio of the changed length to the original length; rxx – the reliability of the original test; rkk – a reliability estimate when the test length is k times the original k.

For example, if a test with 40 items has a reliability of 0 80, and to increase the reliability to 0 90, ask at least how many questions need to be added?

k = that is, in order to achieve a reliability of 0 90, the length of the test should be 2 5 times the original length, that is, 60 more questions need to be added.

The first question: Of course, it is a question of reliability, and the three characteristics of reliability - stability, internal consistency, and equivalence, what you are talking about are poor test-retest reliability and poor stability.

Second question: The specific difference is no longer said, there is an explanation in the textbook, and the following paragraph is easier to understand.

Reliability and validity can be simply summarized as "two catties of sugar", two catties is reliability, and white sugar is validity.

If it is measured at one and a half pounds or two centimeters, it means that there is a problem with reliability.

If it is salt or rice, not the sugar we want, it is a matter of validity.

Classification of reliability. 1.test-retest reliability: the degree of consistency of the same scale questionnaire as measured at different times. If it is weighed as two catties today, but it will be one and a half catties tomorrow, it means that the reliability of the retest is not high.

2.Half reliability: The items of the questionnaire are divided into two halves according to a certain method, and the correlation of the results is obtained. Divide two catties into two catties, if they are measured to be 1 catty and one and a half catties respectively, it means that there is a problem with the reliability of the half.

3.Interrater reliability: The degree to which different raters used the same scale questionnaire and the results were consistent. Several people use the same scale to weigh separately, if all of them are or close to two catties, it means that the rater has high reliability.

Validity classification. 1.Apparent Validity: Empirical Observation Scale The results of the questionnaire are the indicators to be measured. It looks like white sugar, but we subjectively think it is white sugar, and of course it may be laundry detergent or salt.

3.Construct-validity: What is the internal assessment attribute of the scale questionnaire. From the taste, color, chemical structure and other aspects of sugar, a full range of measurement, evaluation and demonstration.

Does the fact that the things you want to eat different at different times also mean that there is a problem with the taste of the organs?

Credit score within the last three months:

Set the weights of the two factors of initial credit evaluation and dynamic credit evaluation w1' and w2' respectively (the formula for calculating the credit value is:

s0=s1×w1^'+i=1) n pei s2i w2'Note: s0: is the total value of the transaction score of the transaction entity in the past three months

s1: is the initial credit score of the transaction entity;

S2i: is a dynamic credit score for a transaction;

n: is the total number of transactions carried out by the trading entity in three months;

Let n=l, and use the example Zheng Zhaozi in the previous section to further calculate:

so=o．73+o．79=1．52

It represents the sum of the credit values obtained by a trading entity after completing a transaction within three months.

The specific validity will be contacted by me.

Job analysis concept: job analysis is a human resource management method for the purpose of determining the job requirements and responsibilities of the position, through job analysis, it can be clear what qualities the incumbent should have, which qualities are essential, which qualities are the most important, which are not needed, and which qualities are irrelevant. Job Analysis Steps.

1. According to the purpose of the evaluation and the requirements of the work, determine the scope of the position that needs to be investigated, and formulate the investigation outline and plan.

2. Adopt a certain method to widely collect the main work requirements and content materials of the incumbent of the position.

3. Through qualitative methods, a comprehensive quality questionnaire is formed, including morality, intelligence, knowledge, experience and qualifications.

4. Conduct a survey on a larger scale, and require the respondents to evaluate and supplement the quality content on the questionnaire.

5. Conduct multivariate statistical analysis of the survey results and select the main quality items.

6. Test or consult experts on the selected main quality assessment items to ensure the realization of the quality assessment objectives.

Reliability mainly refers to the reliability or consistency of measurement results.

Reliability is only affected by random error, and the larger the random error, the lower the reliability. Therefore, reliability can be regarded as the degree to which the test results are affected by random errors.

Factors influencing reliability.

1. Characteristics of the sample.

1. The effect of heterogeneity in sample groups.

2. The effect of the average ability level of the sample group.

2. Measure the length.

In general, adding homogeneous questions to a test can increase reliability.

It is important to note that the effect of increasing the length of the test should follow the principle of diminishing returns. The derivation of the Spearman-Brown formula can be used to calculate the minimum number of questions that should be added:

k=r(kk)*(1-r(kk))/r(xx)*(1-r(kk))

k is the ratio of the changed length to the original length, r(xx) is the reliability of the original test, and r(kk) is the reliability estimation when the test length is k times the original k.

3. The difficulty of the test.

Theoretically, only when the test difficulty is 50% can the test score be distributed in the largest range and the confidence obtained is the highest. In fact, the difficulty is only suitable for short-answer questions, and the difficulty value should be increased due to the guessing factor of the choice questions, and Lord proposed that in order to ensure its reliability, the ideal average difficulty of all kinds of multiple-choice questions is: one out of five tests; Choose one of the four tests,; Choose one of the three tests; True or False.

In practice, if a test has a wide range of applications, its difficulty level is usually suitable for participants at the intermediate ability level, while it may be easier or more difficult for the higher level participants and the lower level of participants, so that the score distribution is narrowed and the level of reliability is reduced, so a standardized test should report the difficulty of the test according to different ability levels as a reference for selecting the test.

Fourth, the time interval.

The time interval only affects the test-retest reliability and the replica reliability when measured at different times, and there is no time interval problem for the rest of the reliability.

Validity is the degree of validity of the measurement. That is, the degree to which the measuring tool is able to measure the characteristics it is intended to measure. Validity is the most important condition that a scientific measurement tool must have.

In social measures, there is a high requirement for the validity of questionnaires or scales as measurement tools. The discriminatory 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.