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Measurement Scales
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Statistics for Psychologists – Measurement Levels
In this course, Professor Dominic Dwyer (Cardiff University) explores measurement levels and scales. In the first lecture, we think about the origin of measurement scales in psychology, and the role of Stanley Smith Stevens in establishing the four measurement levels: nominal, ordinal, interval, and ratio. In the second lecture, we think about nominal scales and their prevalence in behavioural genetics, despite statistical limitations. In the third lecture, we think about ordinal scales and their regular use in survey data collection. Next, we think about ratio scales and the importance of zero meaning something (nothing) in these scales. In the fifth lecture, we think about interval scales and their lack of applicability to ratios of data, due to the arbitrary nature of the zero value. In the sixth and final lecture, we think about how these measurement scales can be summarised and discuss some of the challenges to Stevens’ understanding of measurement.
Measurement Scales
In this lecture, we think about measurement scales and their origin within the field of psychology, focusing in particular on: (i) early research into measurement in psychology in the 1940’s, which concluded that things were not being measured in the field; (ii) Stanley Smith Steven’s disagreement with this viewpoint, highlighted in his 1946 paper, which argued that measurement was being misunderstood; (iii) Stevens’ four levels of measurement: nominal, ordinal, interval and ratio; (iv) examples of each of those measurement levels in real data; (v) the book series ‘Foundations of Measurement’, which provides the most comprehensive review of how to apply statistical tools to measurements.
Hello. My name is Dominic Dwyer.
00:00:06I am a professor in the school of psychology at Cardiff University,
00:00:09and my research is mainly on animal learning and behaviour.
00:00:12But I've been teaching on statistics since 2003.
00:00:17In this lecture,
00:00:21I'll be introducing the concepts of measurement and measurement scales,
00:00:23but first, a little history.
00:00:27Surprisingly,
00:00:30in the 19 thirties and forties,
00:00:31one of the key problems taxing the UK scientific community
00:00:32was whether or not psychology involved measurement.
00:00:36Why this was such a priority in the years leading up to World War Two.
00:00:40And indeed, the early years of that war
00:00:44is something I simply cannot guess that.
00:00:46And
00:00:49for a current student of psychology,
00:00:50the conclusion
00:00:53that they reached is perhaps even more surprising.
00:00:54Their answer was no.
00:00:58Psychology did not involve management,
00:01:00but in doing so,
00:01:04the committee might have taken on the wrong man.
00:01:05The committee took one of its main examples as the
00:01:09sone scale developed by Harvard psycho physicist Stanley Smith Stevens.
00:01:12And oddly enough,
00:01:18Stanley didn't agree with their conclusion.
00:01:201946
00:01:23Stevens wrote what was essentially a reply to the committee,
00:01:25arguing that their conclusion was based on misunderstanding measurement
00:01:29and Stephen's paper
00:01:34outlining measurement as he understood it,
00:01:36has become the standard approach to measurement in psychology ever since.
00:01:38Now I'll come to Stevens definition a minute,
00:01:44but you might be wondering,
00:01:47Why is it
00:01:48that we need to even think about the concept of measurement at all?
00:01:49Surely
00:01:53we've been measuring things since the day we first picked up. A ruler
00:01:54looked at a stopwatch,
00:01:59picked up a scale in a kitchen.
00:02:01And it's true,
00:02:03we do measure all the time.
00:02:04However,
00:02:06psychological measurement
00:02:08does seem to be something of a special case.
00:02:09Were interested, possibly in intelligence or EQ,
00:02:12in personality
00:02:16in emotions,
00:02:18things that you can't put on a scale or put next to a ruler or
00:02:19measure with a stopwatch.
00:02:24So,
00:02:26in actual fact, the idea that the committee wanted to ask,
00:02:27Does psychology involved?
00:02:31Measurement
00:02:32isn't so strange after all,
00:02:33because psychological measurement
00:02:36l seem
00:02:38to be a bit different to the everyday measurements we make in the rest of our lives.
00:02:39And that brings us back to Stevens.
00:02:45What was his definition of measurement?
00:02:47Well,
00:02:50it is remarkably simple.
00:02:50He defined measurement as
00:02:53the assignment of numbers or numerals, two objects or events. According to rule,
00:02:55this definition is so ubiquitous as to be
00:03:01found in almost every textbook of psychology.
00:03:03Indeed, often without direct attribution to Stevens,
00:03:06we have internalised it within psychology to the degree
00:03:10that we no longer often recognise its author.
00:03:13However,
00:03:17this simple definition
00:03:18begs to critical questions.
00:03:20What rule or rules should we use when assigning numbers to objects?
00:03:23And why would we want to do this?
00:03:28The answer to these two questions fit together.
00:03:31We assign numbers to things in a way that reflects the properties of those things.
00:03:34So the rule
00:03:40is essentially
00:03:42use numbers to represent properties of objects or events.
00:03:43And we do this because mathematics offers a great
00:03:48number of very useful tools for manipulating numbers.
00:03:53So by using numbers
00:03:57to reflect the properties of the things we are interested in,
00:03:59then we can apply these mathematical tools to
00:04:04the numbers that come out of our measurement
00:04:07to help investigate those properties.
00:04:09But again,
00:04:13the idea of using numbers to reflect interesting properties of objects or events
00:04:15is something of a generality
00:04:20and only gets us so far.
00:04:22What sort of properties would be interesting?
00:04:25And how would we use numbers to reflect them.
00:04:28Stevens answer was to set out four basic types of measurement
00:04:32things he described as different measurement scales
00:04:38nominal
00:04:42orginal
00:04:42interval and ratio.
00:04:43And each of these scales reflected a critical question about the
00:04:46properties of the object or event that were being measured.
00:04:51Phenomenal scales. This question was, Are things the same
00:04:55or are they different?
00:05:00For orginal scales,
00:05:02the question was, Is one thing bigger or smaller than another?
00:05:04For interval scales?
00:05:10The question was,
00:05:11Is the difference between one pair of objects
00:05:13the same as the difference between another pair of objects?
00:05:16Or are those two differences
00:05:20themselves different?
00:05:23And finally,
00:05:26for ratio scales? How much of something is there?
00:05:27So
00:05:32the answer to these questions
00:05:34reflect the properties of the things being measured,
00:05:36and therefore the scales relate to those sorts of answers.
00:05:40Phenomenal scales. The question was, Are things the same or different?
00:05:46And so this reflects identity or classification.
00:05:51For example, hair colour
00:05:55people have different colours of hair. Using a nominal scale
00:05:57to reflect hair colour would mean that everyone with
00:06:01the same colour hair gets the same number.
00:06:05Everyone with different hair colours would get different hair, different numbers
00:06:08for orginal. The question was, is one thing bigger than or smaller than another?
00:06:14And so
00:06:19the scale reflects, as the name suggests,
00:06:20order.
00:06:24A classic example is positions in a race
00:06:251st, 2nd, 3rd,
00:06:28first person over the line gets a first gets 1st 2nd person over the line. 2nd,
00:06:313rd person. Third.
00:06:36We don't care about how far ahead
00:06:38first place was from second place.
00:06:41They win the gold medal regardless,
00:06:43and so
00:06:45the numbers reflect the orginal
00:06:46relationships between the events in the world
00:06:50for interval scales. We're looking at the differences between things.
00:06:54The classic example is temperature
00:06:59be that measured in Celsius or Fahrenheit
00:07:02and finally, the ratio scale. It asked the question. How much of something is there?
00:07:06And so this reflects the amount
00:07:11of something.
00:07:15So for length, how far is something? How tall is someone
00:07:15for weight? How much how heavy are they for time, how long a period has elapsed?
00:07:20So those are the scales.
00:07:27But there's one other critical thing that is
00:07:29somewhat hidden in Steven's definition of measurement
00:07:32and in the properties of the scale he talks about,
00:07:36and that that hidden thing
00:07:39is what we can or should usefully do
00:07:42with the numbers that come out of measurement
00:07:46in terms of applying mathematical or statistical tools to them.
00:07:50Here,
00:07:55Stevens provides a brief list of things that are sensible to do for each scale.
00:07:56But
00:08:01the underlying principle
00:08:02is that the mathematical tools we apply
00:08:04should preserve the information
00:08:07in the properties that were being measured.
00:08:10In other words,
00:08:15we should only be drawing mathematically based conclusions
00:08:16that would hold true
00:08:21of the properties that were originally present in the objects themselves.
00:08:23Now,
00:08:28as I say, Stevens provided a small list of examples, and in this series of lectures,
00:08:29that's exactly what I will do.
00:08:34However,
00:08:36this is a question that other mathematicians
00:08:37and philosophers have debated at great length,
00:08:40and it is genuinely a rather difficult thing to set out briefly.
00:08:43Indeed,
00:08:47perhaps the most comprehensive answer
00:08:48to what should we do mathematically with the results of measurement
00:08:50is given in a series of books called The Foundations of Measurement.
00:08:54Those books,
00:08:59all three of them,
00:09:00took a total of 19 years to write by four authors.
00:09:02Believe me, in this series of lectures, I will not be summarising them entirely,
00:09:06so
00:09:11that is very much
00:09:12a broad overview
00:09:13of measurement
00:09:15measurement in psychology
00:09:17and the way it is understood in terms of the four different scale types
00:09:18nominal orginal interval and ratio
00:09:23in the subsequent lectures in this series,
00:09:26I will take each of these scale types in turn and consider them in a bit more detail.
00:09:28
Cite this Lecture
APA style
Dwyer, D. (2022, April 20). Statistics for Psychologists – Measurement Levels - Measurement Scales [Video]. MASSOLIT. https://massolit.io/courses/statistics-for-psychologists-measurement-levels/nominal-data
MLA style
Dwyer, D. "Statistics for Psychologists – Measurement Levels – Measurement Scales." MASSOLIT, uploaded by MASSOLIT, 20 Apr 2022, https://massolit.io/courses/statistics-for-psychologists-measurement-levels/nominal-data