Validity, that is, validity, refers to the degree to which a measuring tool or means can accurately measure what needs to be measured. Validity refers to the degree to which the measurement results reflect the contents of the survey. The more consistent the measurement results are with the contents of the survey, the higher the validity. On the contrary, the lower the validity. Validity can be divided into three types: content validity, standard validity and structural validity. Effectiveness is the most important condition of scientific measurement tools. In social measurement, the effectiveness of questionnaire or scale as a measurement tool is needed. To judge validity, we should make clear the purpose and scope of measurement, consider the content to be measured, analyze its nature and characteristics, check whether the measurement content meets the purpose of measurement, and then judge whether the measurement result reflects the degree of the characteristics to be measured.
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Question 2: How many questionnaires are needed to analyze the reliability and validity of the questionnaire? At least 300 questionnaires need to be collected statistically. Recommend a questionnaire tool, Mike form. There is no limit to the amount of feedback collected. It is free and easy to use. I hope it helps you ~
Question 3: How many questionnaires are needed to analyze the reliability and validity of the questionnaire? Different questionnaires require different sample sizes, usually hundreds.
Question 4: What are reliability and validity? Reliability refers to the consistency, stability and reliability of test results. Generally speaking, internal consistency is used to indicate the reliability of the test. The higher the reliability coefficient, the more consistent, stable and reliable the test results are. System error has little influence on reliability, because system error always affects the measured value in the same way, so it will not cause inconsistency. On the contrary, random errors may lead to uncertainty, thus reducing reliability. Reliability can be defined as the degree to which random error r affects the measured value. If R=0, it is considered that the measurement is completely reliable and the reliability is the highest.
Validity, that is, validity, refers to the degree to which a measuring tool or means can accurately measure what needs to be measured. Validity refers to the degree to which the measurement results reflect the contents of the survey. The more consistent the measurement results are with the contents of the survey, the higher the validity. On the contrary, the lower the validity. Validity can be divided into three types: content validity, standard validity and structural validity.
Question 5: Does this questionnaire need to be analyzed for its reliability and validity? Urgent! Thank you. First of all, you should correctly understand what is reliability and validity.
1, reliability refers to the consistency, stability and reliability of the test results, and internal consistency is generally used to express the reliability of the test. The higher the reliability coefficient, the more consistent, stable and reliable the test results are.
2. Validity means that a measuring tool or means can accurately measure what needs to be measured. Validity refers to the degree to which the measurement results reflect the contents of the survey. The more consistent the measurement results are with the contents of the survey, the higher the validity. On the contrary, the lower the validity.
Secondly, any questionnaire should be predicted before use, and the reliability and validity should be tested according to the results, otherwise the questionnaire without reliability and validity can not be used as a reasonable tool for testing.
Finally, if the questionnaire you use has been verified by predecessors and documented, there is no need to investigate the reliability and validity.
If PS is writing academic papers, it must be rigorous and learn to use spss for scientific analysis. If you are a company and want to do research, you can ask a special consulting company to do it. If the boss is not demanding, do it yourself.
Question 6: Do reliability analysis or validity analysis spss first? Generally, these two are the first step of questionnaire analysis and one of the criteria to test whether the questionnaire is qualified. Reliability focuses on the stability and reliability of a standard repeated measurement, or the consistency of multiple standard repeated measurements; Validity lies in validity, that is, whether it can reach the level of the characteristics we want to know.
Reliability is a necessary condition for validity, but not a sufficient condition, understand? In other words, the reliability is low and the validity is impossible to be high; High efficiency and high reliability; High reliability is not necessarily high validity; The validity is low and the reliability may be high. Generally speaking, a ruler can only be accurate after calibration, but it is not necessarily accurate.
Question 7: Is it not necessary to use a mature scale to test validity and reliability? Any psychological test needs validity and reliability. Remember that. Reliability and validity are prerequisites, otherwise everything is meaningless. Let me give you two intuitive examples, and you will know why. For example, you want to measure a person's personality characteristics, but you ask this question: What do you usually eat? This is undoubtedly the bull's head is not the horse's mouth, and such a test is not established. For another example, if you take a psychological test, 90% of people will choose "Yes" on the first day, but only 50% will choose "Yes" when retesting with the same test the next day. Such a test is meaningless at all because it is unstable and inconsistent, and such a test lacks reliability. Whether it is a scale questionnaire or not, as long as it is a psychological test, it requires reliability and validity. Even the interview method has the reliability and validity of topic compilation. Even the projection method is no exception. You have to understand that in real life, basically as long as it is a scale, it belongs to the category of psychological test. Or it can be completely understood that everything in the world that wants to know a certain quality in people's hearts indirectly belongs to the category of psychological testing. For example, exams are achievement tests, occupational scales are aptitude tests, and personality tests are not the only tests called psychological tests. The category of psychological tests includes all tests that measure psychological activities.
Question 8: I made a self-made scale, which needs to be tested for reliability and validity. I'm sorry I just saw your help.
36 samples is a bit small. I want to know how many variables you have.
The "validity analysis of single item related to total score" you mentioned can be done by SPSS. First calculate everyone's total score, and then calculate the correlation coefficient from the score and total score of each question.