Whether you’re aware of it or not, your life has likely been shaped in some way or form by mental health psychometrics – either directly or indirectly. These tests can impact our health, happiness, education, employment, and safety.
The concept of psychometric testing has certainly grown in recent years, but it has existed since the late 1800s to assess certain psychological attributes. In more modern times, it has evolved to help mental health professionals, researchers, businesses, and medical practices make informed decisions and implement healthy practices.
Considering the real-life implications of psychometrics, many organizations and individuals often still wonder what psychometric tests are and why they matter for their well-being and practices. As specialists in psychometric test development, this page can walk you through the different aspects of psychometrics and how you can implement them in your organisation.
Given the important role that psychometrics play in our lives, it’s essential that they are reliable and standardised. In other words, they have to be high quality. But what makes a psychometric high quality?
Simply put, psychometrics is the science of psychological testing. It uses standardised tests to objectively assess attributes such as emotional functioning, mental capability, personality, and behavioural traits. Oftentimes, these tests are used to determine someone’s mental health status, suitability for a job role, and academic ability.
Modern attempts to refine psychometrics go back to post-World War II, with the creation of the first Diagnostic and Statistical Manual of Mental Disorders (DSM) in 1952. The DSM, for the first time, allowed for diagnostic criteria for mental health conditions based on professional consensus. However, it wasn’t until the 80s and 90s that self-report questionnaires, semi-structured interviews, and symptom rating scales emerged. With this advent came the insight into people’s personal experiences and responses to treatment.1
With time, people’s understanding of the benefits of psychometrics evolved past their use solely for psychiatric reasons, and they’re now commonly used for:
Given the important role that psychometrics play in our lives, it’s essential that they are reliable and standardised. In other words, they have to be high quality. But what makes a psychometric high quality?
Unfortunately, not all tests are created equal. And this is important to recognise in the era of online testing, in which anyone can find an assessment for a specific concern at the click of a button.
For a psychometric or psychological assessment to be considered ‘high quality,’ it should possess certain important characteristics. These characteristics ensure that the test accurately and consistently measures what it claims to.
A high-quality psychometric should be:
Let’s take a quick look at what each of these factors means.
To be ‘standardised,’ a test must be delivered under the same conditions for all involved. This means that each person undertaking it should be given the same instructions, test questions, and scoring standards. Simply put, standardised mental health assessments ensure that people’s environments and test conditions don’t affect the results they get. For instance, you wouldn’t expect someone in a professional environment to get equal results on the same test as someone in a clinical setting.
Objectivity removes the bias of the assessor, making sure that the results of the test can’t be influenced by personal opinions, feelings, or experiences. So, if a standardised and reliable test is administered by two separate assessors to the same person, we would expect a roughly equivalent result.
A reliable test typically gets similar results over multiple occasions when administered under standardised conditions. If the test doesn’t obtain a roughly consistent score for one person when administered over multiple occasions, this may indicate that the test isn’t reliable. For example, someone taking the same IQ test several months apart should expect to obtain a similar result each time.
At this stage, it’s time to submit a more detailed response.
Validity is about making sure the test actually measures what it’s supposed to measure. If the test doesn’t measure the intended framework or concept, then it can give misleading information and isn’t fit for use. Together with the previous factor, reliability and validity testing become an essential part of creating a psychometric test.
Reliability testing can be done through:
Psychological test validation methods include:
Organisations and professionals use a variety of psychometrics and mental health assessment tools based on symptoms and the need for testing. For instance, a screening for a mental health condition would require a different approach than an assessment for a job role. However, assessments typically fall into the realms of screeners, self-report questionnaires, semi-structured interviews, and personality or ability tests.
With the different types of psychometrics in mind, let’s consider the various purposes they can be used for.
Evidence-based assessment tools, such as psychological tests, encompass all the factors we discussed earlier; they’re standardised, reliable, valid, and objective. These tools follow strict assessment protocols and make heavy use of research and theory to inform what they intend to measure, the methods involved in how they measure it, and the way it’s measured. This process ensures reliability and validity across various settings and groups.
Psychological tests play a particularly important role in psychiatry, clinical psychology, and educational assessment.2 These areas often require ongoing assessments, such as for outcome monitoring to check for symptom severity. However, various other forms of psychometrics can also be evidence-based, reliable, and valid.
The field of digital mental health assessments is evolving at a rapid rate, especially in the aftermath of the pandemic. Whereas digital mental health once involved telehealth primarily, it’s now creeping into the world of apps, AI, and large language models (LLMs).3 This means that people can access self-report questionnaires to screen for a wide range of issues, from mental health concerns to challenges with relationships and personality traits.
Workplace psychometrics can be integral in determining how the demands of an organisation are impacting someone’s ability to work and quality of life. However, their benefits don’t stop there; they’re also useful for providing insight into workplace culture, managerial styles, and any potential risks. Through this insight, organisations can boost morale, communication, well-being, and productivity. In fact, eight out of ten employees report feeling more productive when they feel healthy and happy.4
Further, workplace psychometrics can ensure the right applicant fit for a job role, as it allows employers to consider traits such as reasoning skills, personality, and working style.
Research and development in organisations and businesses often require psychometrics for quantitative or qualitative purposes (or both). Depending on the research question, these tools can provide large-scale data about or more in-depth insights into certain populations.
While these are some of the most common mental health psychometrics purposes, they’re by no means the only ones. For instance, many mental health businesses and organisations require accessible, low-cost psychometrics to facilitate specific screening. Bespoke psychometrics can allow for increased validity, better developmental decisions, and success.
Successful psychometric test development comes down to its purpose, intended audience, and reliability and validity. In other words, it should accurately measure the behaviours, attitudes, and hypothetical scenarios necessary to gain an insight into how someone functions.
Scientific advances, our understanding of the world, and organisational needs are constantly evolving. This can make new psychometrics necessary, but the process isn’t always a straightforward endeavour. It’s common to come across a lot of jargon, extensive time requirements, and costs. Further, the reliability and validity testing process typically requires intensive statistical analyses. In fact, it’s for these very reasons that many assessments (especially digital ones) aren’t reliable.
Psychometric scale development requires expertise, and few scientific backgrounds cover this form of training. In its most simple form, it involves:5
Clearly, this process is extensive – and can also vary depending on the professional developing the scale and the available resources involved. For this reason, if you’re considering creating a psychometric for your organisation, it’s important to speak with someone who understands the ins and outs.
The field of psychometrics has grown from purely looking at people’s traits, cognitive and emotional functioning, and behaviours for mental health purposes. Now, researchers, small-scale businesses, and large organizations recognize the benefits of bespoke assessments for their unique needs.
Yet the wrong assessment, or even the right one delivered by someone without training, can produce inaccurate, unreliable results. Further, if the test isn’t properly developed, it may perpetuate biases, potentially contributing to unfair stereotypes.
Whether you’re looking for mental health questionnaire development, psychometric validation, information on creating mental health rating scales, or multimodal assessment methods, a professional who understands the process is essential.
At PsychWrite, we can offer you the right solution for your needs. Contact our team to talk to a trained professional who can talk you through your options and how to find the right assessment for your approach.
