Psychometrics is the measurement of what we talk and think about or how to assign numbers to observations. Psychometrics measures mental capacities and judgements what we think about. It can also be used to measure of intelligence or mental capacity. Psychometric tests have often been used by employers to measure a person’s suitability to a particular job role. A psychometric test is composed of questionnaires, personality tests and aptitude tests; this information is then transferred to statistical research. Correlation is a large component in the statistical area of psychometrics; it is a mathematical topic that examines mainly the magnitude and direction of relationships (Pagano, 2004). There are multiple correlations and multiple regressions within psychometric testing. Scatter plots are often used in Correlation to show this data, a scatter plot is a graph containing and comparing two values (or X and Y values)(Pagano, 2004). There is several correlation formulas used in psychometrics, such as the Pearson r formula.
(Pearson r)
This formula is used to measure the degree at which paired scores take up the same or completely opposite locations inside their own distributions (Pagano, 2004). Another example of a psychometric formula is the Rasch model which be explained fully later in the essay.
Psychometric testing is often described as a very reliable form of testing with high accuracy rates, these tests are able to extract information that would be difficult to find in face to face interviews. Psychometric tests are a typical and scientific technique used to calculate individuals' mental capability and behavioural style (Institute of Psychometric Coaching, n.d.). These tests are usually composed of multiple choice questions with the usage of certain buzz words that can determine a personality type.
(Example of personality test)
Personal charactistics can be uncovered from these tests such as these reveal sociability, enthusiasm,