. Provide examples of variable that are at the nominal, ordinal, interval and ratio level of measurement. Explain why. Levels of measurements are important in research. There are four levels of measurements, from lowest to highest: nominal, ordinal, interval, and ratio. Each of the four levels builds from the precious level, and one more element is added. Absolute Zero Equal interval Equal Interval Category Category Ranked Ranked Ranked Category Category Category Exhaustive Exhaustive Exhaustive Exhaustive Categories Categories Categories Categories …show more content…
When watching a football or a baseball game, the numbers are labelling the players, there is no value to the numbers. Other examples are the numbers on pool balls, gender and age. They are categorical without order. When we collect data, and gender is one of the variable, we assign #1 for females and #2 for males. The numbers are labels for the variables. At this level there is no zero point. Second is ordinal, at this level numbers matter, but the differences does not matter. An example of an ordinal level of measurement is a pain scale. You ask the patient to give a numerical value to their pain from #1 to # 10, 10 being their worst pain. Other examples are “degrees of coping, and levels of mobility” (Grove, S. K., Burns, N., & Gray, J. R., 2013) Third is the interval level of measure, at this level we can do mathematics with the numbers. There is still no zero point. A video by J. David Eisenberg on you tube, gave a great example, that I will share with you, the link will be provided in the reference section. J. D. Eisenberg stipulates the following: one person is 176 cm tall, the other is 170 cm tall, and it is evident that one is taller than the other, 170 cm + 6 cm = 176cm. Arithmetic is meaningful. The difference or interval is also
Interval-Level: Indicates the levels between categories, ranks them and specifies the amount between each rank; does not have a true zero (Ex: IQ
Measurement where a number is assigned to represent something or someone else. An example of nominal could be credit card numbers, social security numbers, or zip codes.
Nominal data is the most basic level of measurement. It is also known as categorical. The numbers do not imply an order. Basically nominal data is used for frequency and the only number property of the nominal scale of measurement is identity. An everyday example of the use of nominal data would be classifying people according to gender is a common application of the nominal scale. When you first meet someone, an observation is generally made on the specific gender of the person you are meeting for the first time.
2. Data from Likert scales and continuous (e.g. 1-10) rating scales are quantitative. Allows you to measure their feeling on a scale of 1
a. Nominal: This is a measurement that has a number assigned to show something or someone else, an example of this would be one’s social security number.
Answer: This is a ordinal variable since education level is ordered from less to higher education and is put into 4 categories.
Without designed or determined variables, a research cannot be conducted. As denoted in Meyers et al. (2013) “As a rather conceptual but important characterization, a variable is an obstruction or construct that can take on different values.” The values of variables could be numbers expressing quantitative meaning (Meyers et al., 2012). “Quantitative” relates to numerical values, it may also justify the weight or variability of any population; it also can be anything represented by numerical values. Some values may be represented by names of people or animals. Such values are used to determine “qualitative” or categorical differences between cases (Meyers et al., 2013). In terms of measurement, I have apprehended that there are five scales of measurements. There are as follows: Ordinal, Nominal, Summative response, Interval, and Ratio scales (GCU, 2012). From the PSYC 845, I have also recall of learning about the ANOVA research design. As noted by Santayana (2011): “Measurement is at the core of doing
One can be very confused with the modern ideas present today. In fact, a lot of individuals are so involved in their own lives that they do not even bother to think where these modern popular beliefs came from. Modern constructs, such as religion, politics, warfare and even the internet all originated somewhere, and it is important that people know at least a little about the history of something before completely use it as a part of their everyday life. Take the case of Witchcraft and Wicca: while most people would probably combine these two in the same area of interest such as witchcraft and spells with the occasional magical tool such as the voodoo doll, one might be surprised that Wicca is actually a religion and witchcraft actually originated from the Wiccan movement.
GIVEN THE RESEARCH QUESTIONS INFERRED FROM THE ABOVE (SEE BELOW), HOW APPROPRIATE WERE THOSE MEASUREMENT QUESTIONS?
Temperature scales are also used in an attempt to make the concept of measuring pain more relatable. Across the world, temperature is measured in degrees Celsius. At zero, water freezes and, at one hundred, water boils. Despite Celsius being the global standard, the Fahrenheit scale was developed decades earlier. Daniel Gabriel Fahrenheit based his temperature scale on two marks: on the lower end, the point where a mixture of salt and water would cease to exist as a liquid, and, on the upper end, a measure of normal body temperature. In an effort to add more confusion to the two standards, Lord Kelvin introduced the idea of an “absolute zero.” Absolute zero is the point where molecules and atoms are supposed to be essentially motionless. Despite this, research has showed that the motion doesn’t really stop. As Biss says, “…absolute is not absolute.” She finds that comforting, but not quite enough.
The questions in this instrument are weighted a numerical value of zero to three, with three being the highest score on each question.
3. You need to be numerate, as you may need to take and record a person’s physical measurements such as height, weight, temperature, blood pressure or pulse rate.
Be it a little, medium or extensive industry everybody requires a protected, solid and precise measuring scale for measuring articles. In any case, in the event that you see, the greater part of the entrepreneurs are confounded as to which measuring levels would suit their motivation. However, overall, the vast majority of the proprietors support floor scale. This is most mainstream and regularly utilized. Other mainstream measuring scales are computerized, talking and delivering scales.
Quantifiers are words that indicate quantity or numbers. They are used before nouns. Quantifiers are used in accordance with the number of the noun . In other words, they depend on whether the noun is countable or uncountable.