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Validity: Validity refers to how well a test measures what it is purported to measure. Types of Validity: 1. Logic valididty: Validity which is in the form of theory, statements. It has 2 types. I. Face Validity: It is the extent to which the measurement method appears “on its face” to measure the construct of interest. • Example: • suppose you were taking an instrument reportedly measuring your attractiveness, but the questions were asking you to identify the correctly spelled word in each list II. Content Validity: Measuring all the aspects contributing to the variable of the interest. Example: For physical fitness temperature, height and stamina are supposed to be assess then a test of fitness must include content about temperatures, height and stamina. 2. Criterion It is the extent to which people’s scores are correlated with other variables or criteria that reflect the same construct Example: An IQ test should correlate positively with school performance. An occupational aptitude test should correlate positively with work performance. Types of Criterion Validity Concurrent validity: • When the criterion is something that is happening or being assessed at the same time as the construct of interest, it is called concurrent validity. • Example: Beef test. Predictive validity: • A new measure of self-esteem should correlate positively with an old established measure. When the criterion is something that will happen or be assessed in the future, this is called predictive validity. • Example: GAT, SAT Other types of validity Internal Validity: It is basically the extent to which a study is free from flaws and that any differences in a measurement are due to an independent variable and nothing else External Validity • It is the extent to which the results of a research study can be generalized to different situations, different groups of people, different settings, different conditions, etc.
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Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Construct Validity
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Construct Validity What
it is When it’s used Strengths
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