Sure.
Quantitative observations: Measuring the temperature of water, counting the number of leaves on a plant, recording the weight of an object, timing how long it takes for a pendulum to swing, measuring the length of a book.
Qualitative observations: Describing the color of a flower, noting the smell of freshly baked bread, observing the texture of a rock, listening to the sound of chirping birds, feeling the softness of a cotton fabric.
Using a quantitative sampling method in a qualitative study could result in a lack of in-depth understanding of participants' experiences and perspectives. On the other hand, using a qualitative sampling method in a quantitative study could introduce bias and limit the generalizability of the findings.
Examples of quantitative observations include measuring the length of a pencil (in centimeters), counting the number of students in a classroom, or recording the temperature in degrees Celsius. These observations involve numerical data and can be measured or quantified.
An example of a research methodology could be a quantitative survey conducted among a sample of participants to gather data on their preferences and behaviors related to a specific topic. The survey could use closed-ended questions to quantify responses and then analyze the data using statistical methods to draw conclusions.
A data set that describes the colors of cars in a parking lot would be classified as qualitative data. This is because the data is descriptive and categorical in nature, rather than numerical or measured.
Qualitative evidence that someone has been drinking may include the smell of alcohol on their breath or clothes, changes in behavior such as slurred speech or unsteady movements, and physical signs like red eyes or flushed skin. Other signs could be empty alcohol containers nearby or the person admitting to drinking.
There are basically two kinds of observations that scientists make, which are described as qualitative and quantitative. A qualitative observation gives you a general description. For example, a particular substance might be observed to be a liquid, blue in color, in a bottle. Quantitative observation involves measurement. For the same substance you might discover that it weighs 1.098 kg, that it has a temperature of 23o C, and by pouring it into a graduated cylinder, you could determine that it has a volume of 1.3 liters, etc. Qualitative observations don't involve numbers, and quantitative observations do.
Taste and temperature.
A qualitative observation for a penny could be that it is round, small, and made of metal.
Quantitative means in measurable amounts as opposed to qualitative. For instance, if someone asked you what the weather was like you could say, "it is hot" (qualitative), or you could say, "it is 95 degrees" (quantitative).
Give one example of an observation that you could make with your 5 senses.
ha ha... it could be either. Qualitative would be if you did a taste test to see if the green liquid (hopefully kool-aid) tasted good to different people. Quantitative would be if you measured how much of the green liquid there was. It isn't inherently either one, as qualitative and quantitative describe types of data, rather than things such as colored liquids of unidentified origin.
Using a quantitative sampling method in a qualitative study could result in a lack of in-depth understanding of participants' experiences and perspectives. On the other hand, using a qualitative sampling method in a quantitative study could introduce bias and limit the generalizability of the findings.
Heart rate is generally a quantitative measurement. You can give a specific number (quantity) for it. You could express heart rate as a qualitative measurement by simply using comparative phrases such as fast, faster, slow slower, dangerously high, dangerously low, etc. Often the quantitative measurement is mapped to the qualitative terms to give a quantitative range that can map to a qualitative term to express the impact of that type of heart rate.
Heart rate is generally a quantitative measurement. You can give a specific number (quantity) for it. You could express heart rate as a qualitative measurement by simply using comparative phrases such as fast, faster, slow slower, dangerously high, dangerously low, etc. Often the quantitative measurement is mapped to the qualitative terms to give a quantitative range that can map to a qualitative term to express the impact of that type of heart rate.
Some variables in the data set might be qualitative, others might not. For example, if one were to sample newly arrived immigrants to Toronto, Canada and create a data set of information about them one could include both qualitative and quantitative data. One might measure each person's height which would be quantitative, and observe each person's eye colour, which would be qualitative.
Examples of quantitative observations include measuring the length of a pencil (in centimeters), counting the number of students in a classroom, or recording the temperature in degrees Celsius. These observations involve numerical data and can be measured or quantified.
Not necessarily. Qualitative data could be coded to enable such analysis.