Monday, June 7, 2021

Psychometric Test – Their Scope, Importance, And Insights

 Psychometric Test – Their Scope, Importance, And Insights

 

The book Psychological Assessment and Testing: Introduction to Psychology defines psychometric test as "Psychometrics test has its roots in the process of psychological measurement, which is a structured technique used to observe and evaluate people’s behaviors and make inferences about the underlying attributes that stimulate that behavior". 

 

The factors that can be evaluated by this test are talents, attitudes, strengths, personality traits, mental troubles, educational success.

A most agreeable career for a person can be evaluated by making a list of preferences, interests, and dislikes. But these factors can decide the success rate of the person. By evaluating certain other objective factors we can make an apprised choice.

 

This does not suggest that an examination can give us an accurate result about our career selection. 3 factors that should be considered for an apprised choice.

 

What Constitutes A Good Objective Psychometric Test?

Following are 3 factors that should be considered for an apprised choice.

  1. Reliability- We can consider a test reliable if we get the same conclusion even if the circumstances of the test such as the supervisor, distinct test format, distinct way of giving marks, etc.
  2. Validity-  We can consider a test valid if it evaluates the accurate factor that needs to be assessed. For instance, an IQ test should determine the intellectual score of a person.
  3. Norms- The book Psychological Assessment and Testing: Introduction to Psychology defines this factor as "Norms are sets of scores obtained by representative groups of people for whom the test is intended". The scores received from these combinations assist as the foundation for reading personal scores. SAT is a test example with established standards.

 

Although these 3 points are essential components of a genuine test, not all test varieties need standards as bases. Moreover, recognizing the sample size needed to produce a standard for each performed analysis and the conventional characteristics of the area, producing a standard for each test is very tiresome.

 

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