Want this question answered?
others type of validity of a test other than content
others type of validity of a test other than content
others type of validity of a test other than content
others type of validity of a test other than content
others type of validity of a test other than content
others type of validity of a test other than content
Schools maintain content validity by conducting reforms in the field of educational facilities and quality than teachers who teach at the school. In addition to the above the quality of the students themselves are also influential.
Projective test tend to have lower validity. Some of these test use cards and ask what the test subject sees leaving everything open to just what an individual may think.
Validity - This means that a measurement scale should measure what it is supposed to measure. Validity may be classified into different types, as described below. The degree of validity of each type is determined by applying logic, statistical procedures or both. 1. Content validity: This type of validity may be of two types - a) Face validity and b) Sampling validity. Face validity is determined through a subjective evaluation of a measuring scale. For example, a researcher may develop a scale to measure consumer attitudes towards a brand and pre-test the scale among a few experts. If the experts are satisfied with the scale, the researcher may conclude that the scale has face validity. However, the limitation of this type of validity is that it is determined by opinions, rather than through a statistical method. Sampling validity refers to how representative the content of the measuring instrument is. In other words, the measuring instrument's content must be representative of the content universe of the characteristic being measured. For example, if attitude is the characteristic being measured, its content universe may comprise statements and questions indicating which aspects of attitude need to be measured. In this case, sampling validity will be determined by comparing the items in the measuring instrument with the items in the content universe. Sampling validity, like face validity, is also based on the judgment and subjective evaluation of both the researcher and outside experts. The determination of the content universe and the selection of the relevant items that are to be included in the measuring scale are both done based on the knowledge and skill of the investigator and other judges.2. Predictive validity: This type of validity refers to the extent to which one behavior can be predicted based on another, based on the association between the results yielded by the measuring instrument and the eventual outcome.3. Construct validity: A construct is a conceptual equation that is developed by the researcher based on theoretical reasoning. Various kinds of relationships may be perceived by the researcher between a variable under study and other variables2.4.2 Reliability This refers to the ability of a measuring scale to provide consistent and accurate results. To give a simple example, a weighing machine may be said to be reliable if the same reading is given every time the same object is weighed.
Measurement Validity-There's an awful lot of confusion in the methodological literature that stems from the wide variety of labels that are used to describe the validity of measures. I want to make two cases here. First, it's dumb to limit our scope only to the validity of measures. We really want to talk about the validity of any operationalization. That is, any time you translate a concept or construct into a functioning and operating reality (the operationalization), you need to be concerned about how well you did the translation. This issue is as relevant when we are talking about treatments or programs as it is when we are talking about measures. (In fact, come to think of it, we could also think ofsamplingin this way. The population of interest in your study is the "construct" and the sample is your operationalization. If we think of it this way, we are essentially talking about the construct validity of the sampling!). Second, I want to use the termconstruct validityto refer to the general case of translating any construct into an operationalization. Let's use all of the other validity terms to reflect different ways you can demonstrate different aspects of construct validity.
predictive validity.
predictive validity.