Quantitative observation implies an objective collection of data for analysis based on their numerical and statistical attributes. This observation involves the depiction of obtained variables in terms of their quantity. The primary focus is on numbers and values.
Some examples of qualitative observations are texture (smooth or rough), taste (sweet or salty), temperature (hot or cold), and even mood (angry or happy). We use qualitative observations every day, from buying vegetables in the grocery store to assessing employees in our workplace.
The hair colors of players on a football team, the color of cars in a parking lot, the letter grades of students in a classroom, the types of coins in a jar, and the shape of candies in a variety pack are all examples of qualitative data so long as a particular number is not assigned to any of these descriptions.
Examples of quantitative observation include age, weight, height, length, population, size and other numerical values while examples of qualitative observation are color, smell, taste, touch or feeling, typology, and shapes.
Quantitative information is often called data, but can also be things other than numbers. Qualitative Information – Involves a descriptive judgment using concept words instead of numbers. Gender, country name, animal species, and emotional state are examples of qualitative information.
Qualitative vs Quantitative Observations. Qualitative observations are made when you use your senses to observe the results. (Sight, smell, touch, taste and hear.) Quantitative observations are made with instruments such as rulers, balances, graduated cylinders, beakers, and thermometers. These results are measurable.
Conduct statistical analysis: Quantitative observation verifies details by conducting statistical analysis of a statement. Numerical results: All the results of quantitative observation are numerical. Use various instruments: Instruments such as rulers, thermometers, balances etc. are used for quantitative observation.
Quantitative is an adjective that simply means something that can be measured. For example, we can count the number of sheep on a farm or measure the gallons of milk produced by a cow. In a world of abstract findings that can't be quantified, such as anger or memories, it's important to be able to measure what we can.
Examples of Qualitative Data
Oct 16, 2020
Qualitative data is information that cannot be counted, measured or easily expressed using numbers. It is collected from text, audio and images and shared through data visualization tools, such as word clouds, concept maps, graph databases, timelines and infographics.
Some examples of quantitative data include:
Sep 20, 2021
5 Types of Qualitative Research Methods
Apr 29, 2019
Qualitative methods capture participants' experiences using words, pictures and stories and help track changes in participants' attitudes and perceptions. Examples of qualitative methods include case studies, interviews and focus groups.
Quantitative research consists of the collection, tabulation, summarization, and analysis of numerical data for the purpose of answering research questions or hypotheses. Quantitative research uses statistical methodology at every stage in the research process.
After careful understanding of these numbers to predict the future of a product or service and make changes accordingly. An example of quantitative research is the survey conducted to understand the amount of time a doctor takes to tend to a patient when the patient walks into the hospital.
There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.
Identifying Qualitative Research - Example
Aug 27, 2021
“Qualitative research involves any research that uses data that do not indicate ordinal values. Qualitative research aims to study things in their natural setting to make sense of a phenomenon in terms of meanings people bring to them.
Qualitative research aims to get a better understanding through first hand experience, truthful reporting, and quotations of actual conversations. It aims to understand how the participants derive meaning from their surroundings, and how their meaning influences their behavior.
Qualitative research is often descriptive in nature, and phenomenology, IPA, and grounded theory are applied as qualitative methods to achieve designated goals. Qualitative approach is more about understanding a person's unique, subjective experience whereas quantities "attempt" to reach objectivity.