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Article: "Overview of Psychometrics" by Catherine Price

1.  Why is a psychometric test different to a list of questions?

2.   Choosing appropriate tests for your use

3.        Names of tests

4.        History of psychometric testing

5.        Level A/B etc.

6.   Different categories of test: ability, interest and personality

There are three distinct categories of test:

  • Ability Tests
  • Interest Inventories
  • Personality Questionnaires

Ability Tests measure how well someone can do something, how much they know, and sometimes how great their potential is.

They may test intellectual abilities such as verbal fluency or numerical reasoning, or they may test something practical such as clerical skills or programming ability.

These tests have answers which are either right/wrong or good/bad.

They are usually timed.

Examples of ability tests are:

  • VMT3 – Verbal Reasoning (SHL)
  • NMT 4 – Numerical (SHL)
  • Critical Thinking Appraisal (Watson Glaser)
  • The Able Series (OPP)

Interest Inventories usually describe a person’s preferred working style, likes and dislikes, and attitudes to external things such as scientific and artistic activities.

They are self-reporting and do not have right or wrong answers.

They are not usually timed, although candidates are usually encouraged to complete them at a single sitting and not to dwell too long on their responses.

Examples of interest inventories are:

  • Strong Inventory
  • Career Interest Inventory
  • Occupational Interest Profile

Personality Questionnaires measure someone’s preferred or typical ways of thinking or acting, that is, their underlying characteristics or “traits”.

They are self-reporting and do not have right or wrong answers.

They are not usually timed although, as with interest inventories, candidates are usually encouraged to complete them at a single sitting and not to dwell too long on their responses.

Most personality questionnaires which are used occupationally, rather then clinically, fall into two broad categories: type and trait.

Type indicators have a very venerable history going right back to ancient times. The ancient Greek physician Hippocrates identified four fundamental human “temperaments”, which were based on “predominant body fluids”. These characterised people variously as sanguine, melancholic, choleric or phlegmatic. These “types” were the basis of most Western psychology and medical practice for centuries, through the Middle Ages, Renaissance and beyond.

In the twentieth century, Carl Jung undertook a modern scientific study of personality types, most famously identifying the difference between extravert and introvert personality types. Jung’s work was developed further by the mother and daughter team of Isabel Myers and Katharine Briggs, who extended Jung’s classifications and constructed the Myers-Briggs Type Indicator (MBTI). MBTI remains among the best-known type-based occupational psychometric instruments.

Trait indicators seek to measure the individual dimensions which make up someone’s personality. These have been variously identified as 21 (Hans Eysenck), 16 (Raymond Cattell), 32 (Savill and Holdsworth) and most recently “The Big 5” (Costa and Macrea). The ways in which the individual dimensions interact together can give an indication of the individual’s likely approaches to working with people, and of their thinking styles, feelings and emotions.

Although they are not ability tests, trait indicators can be used to draw inferences about an individual’s likely “fit” to competencies, although this always needs to be tested in a competency-based interview.

Examples of trait indicators are: 

  • 16PF (OPP)
  • 15FQ (Psytech)
  • OPQ 32 (SHL)

Some tests are designed to home in one specific set of competencies or approaches as, for example, in the Customer Contact Styles Questionnaire (SHL), which is aimed at sales staff.

Others are hybrids between a personality questionnaire and an interest inventory, and are sometimes called Values Questionnaires. An example of this kind of test would be SHL’s Motivation Questionnaire.

7. Using tests fairly and ethically: validity, reliability and fairness

When considering any new psychometric instrument or questionnaire, two key questions need to be answered:

  • What does the test measure?
  • How accurately does it do that measurement?

The first of these questions deals with the validity of the test, the second with its reliability.

Validity may be defined as follows:

“Validity is the extent to which a test measures what it claims to be measuring, the extent to which it is possible to make appropriate inferences from the test score.”

British Psychological Society Steering Committee on Test Standards, 1989

There are a number of issues to be taken into account when considering the validity of a test, and if you do the British Psychological Society (BPS) Level A certificate you will go into them in some detail. But they all come back to the basic questions, “Does this test really measure what it says it is measuring?” and “Does it relate sensibly to the real world?”

When you are choosing an instrument to use in your organisation, however, you also need to be aware of something called face validity. This means that the test looks appropriate and relevant to the purpose for which it is being used, and to the environment in which you work. It can be very important in getting buy-in from line managers in your organisation, or staff or candidates who are taking the test. Remember, though, that face validity is not by itself a guarantee of actual validity. 

Reputable test publishers will be able to show you the research that they’ve done into the validity of their tests, and if you’re thinking of investing in a test then you need either to review this data yourself or get a suitably qualified person to advise you on it.

Reliability deals with the repeatability or reproducibility of a test or measure. If any measure is to be useful, it needs to be one which gives more or less the same result each time it is applied. Having said this, people’s personality and preferences can change over time, and for this reason the reliability measures for personality questionnaires are always lower than for ability and aptitude tests.

The most common way of measuring reliability is to ask volunteers to complete the questionnaire twice, and then calculate the correlation between the scores on the first and second occasion. This is known as “test-retest”. However, because in practice this can be difficult to arrange, there are other, more statistically based ways of measuring reliability. These are also dealt with in some detail in the BPS Level A certificate.

Fairness is extremely important, particularly if the tests are being used as part of a selection process. The rules for ensuring that tests are administered fairly can be summarised as follows:

  • Choose a test which measures a genuine job requirement
  • Choose a test which has been validated to reduce the potential for discrimination against minority groups
  • Issue practice booklets where these are available
  • Follow the administration instructions exactly 
  • Make sensible adjustments for disabled candidates
  • Use the correct norms
  • Always offer feedback to candidates

8. Keeping abreast of new developments

In order to keep up to date with the latest developments in the field, those administering psychometric tests should make use of the following resources.

  • The professional press

You can often find general articles on psychometrics in publications such as People Management that serve the needs of human resources professionals. For those specialising in psychometrics, there is also the BPS’s Selection and Development Review, which deals with issues relating to psychometrics in much greater depth.

  • Conferences and networking

Find out how other organisations are using psychometric instruments, either by going to talks given by professionals, or by talking to colleagues in your network.

  • BPS Peer Review

A new development from the BPS is that they now undertake test reviews according to European guidelines and publish full reviews of all tests that have been submitted by their publishers. These are quite expensive to buy, but could be well worth it if you are about to invest heavily in a particular instrument. If you don’t have any certificate holders in your organisation, then it may be worth consulting an independent practitioner and asking them to give you some professional advice.

9.         Norms

Most psychometric instruments are scored by comparing the answers given by a staff member or candidate to those given by a population of people who have taken the same test in the past.

The scores are, therefore, essentially comparative.

In the case of an ability test, the candidate’s score will be described as a “percentile”, e.g. “This candidate did better that 22% of people taking this test,” or “This candidate did better than 75% of the people taking this test.”

The population of people with whom the candidate is compared is known as the “norm group”. This may be a general population, or a subset derived by occupational group (e.g. public sector workers, or those engaged in manufacturing), management or professional level (e.g. senior managers and directors, or administrators), educational attainment (school leavers, or graduates) or even gender. Test publishers will produce norm groups for their tests, and it is the responsibility of the person marking the test to select an appropriate norm group for their context.

For personality questionnaires, the candidate will be judged as being “as likely as most people”, or “less likely” or “very much more likely”, to behave in a certain way or adopt a certain approach.

There is a standard statistical approach for translating the candidate’s “raw score” into these comparative scores. You need to understand it in order to pass BPS Level A.

It is very important, in the interests of both fairness and accuracy that you:

  • Administer the test exactly as instructed, so that in making comparisons with the norm group you are genuinely comparing “like with like”.
  • Choose an appropriate norm group.
   



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