When we teach Psychology, we spend hours helping students evaluate methodology, but we probably don’t inspect the consider the most basic and simple assumption: that the psychological phenomena we study (such as fera or anxiety) can actually be measured.

Measurement is a delicate act of translation. We take squishy, subjective, or invisible/intangible behaviours and we try to translate them into reliable numbers which we can caluclate means with and make graphs from because these give our science some credibiltiy and objectivity. But how much gets lost in translation?

Take physiological metrics. We routinely measure salivary cortisol levels to quantify stress. But cortisol is just a biochemical proxy for stress. It’s not the subjective experience of stress itself. We measure a biological trace and make a massive inferential leap about human suffering. Or consider basic behavioral tasks like the Stroop effect. When a researcher uses a handheld stopwatch to log reaction times, how accurate is that data? Recording a time down to hundredths of a second implies a level of precision that human reaction times on the stopwatch itself completely invalidate.

This illusion of mathematical precision follows us into data analysis. When students calculate the mean and standard deviation of Likert scales or reaction times, we rarely ask them to consider what those trailing decimal points mean. Do accumulating decimals offer genuine insight into human behavior, or do they artificially distort the mean and create a false sense of scientific rigor?

Even high-tech neuroimaging has its leaps of faith. Modern scanning machines like fMRIs calculate changes in hippocampal volume or cerebral blood flow, but the transformation from raw voxels to a 3D structural measurement relies on complex algorithms and statistical modeling that few non-specialists truly understand. We are measuring physical surrogates to infer cognitive processes.

And that’s before we attempt to quantify the truly abstract: How do you measure ethics? How do you put a numerical value on love, grief, pain, or a child’s transition through Piaget’s stages?

For us (the teachers), measurement’s not a dry topic tucked away in Research Methods; it’s the lens through which every topic in the syllabus should be viewed. Bringing these questions into the classroom lifts students from being passive watchers and listeners of psychology into critical thinkers who ask good questions like: Are we measuring what we think we are measuring, or just what is easy to count?

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