# What Is Quantitative Observation? | Definition & Examples

Quantitative observation is a research method that involves measuring and quantifying characteristics of a phenomenon. It hinges upon gathering numerical data, such as measurements or counts, that can be expressed in terms of a quantitative value.

Measuring the length of a flower’s stem, counting the number of bees in a hive, or recording the temperature of a greenhouse are all examples of quantitative observations. These types of observations are typically objective, meaning that they can be replicated and verified by other observers using the same measurement techniques.

Quantitative observations are often used in scientific research for data collection and hypothesis testing, but they are also commonly used in everyday life to help make decisions or solve problems based on numerical information.

## When to use quantitative observation

Quantitative observation is a type of observational study. It is often used to gather and analyse numerical data to answer a research question or to make informed decisions.

A quantitative observation could be a good fit for your research if:

1. You want to measure the effectiveness of an intervention. Quantitative observation can be used to determine whether a specific intervention or treatment has a measurable impact on a particular outcome, such as changes in health status, academic performance, or work productivity.
2. You want to make informed decisions about a given phenomenon. Quantitative observation can provide numerical data that can be used to make informed decisions in various fields such as finance, marketing, and public policy.
3. You want to compare groups or populations at a macro level. Quantitative observation can be used to compare groups or populations based on numerical data, such as income, education level, or health outcomes. It can also be used to identify patterns and trends in data over time or across different groups or populations.

## Examples of quantitative observation

Quantitative observation is a great starting method to measure the effects of an input on a phenomenon.

Quantitative observation is often also used to compare the effectiveness of an intervention.

## Types of quantitative observations

There are several types of quantitative observation. Here are some of the most common ones to help you choose the best fit for your research.

 Type Definition Example Systematic observation Utilising coding and a strict observational schedule, researchers observe participants in order to count how often a particular phenomenon occurs Counting the number of times children laugh in a classroom Case study Investigates a person or group of people over time, with the idea that close investigation can later be generalised to other people or groups Observing a child or group of children over the course of their time in elementary school Archival research Utilises primary sources from libraries, archives, or other repositories to investigate a research question Analysing US Census data or telephone records

Overall, quantitative observation research projects can provide a structured and rigorous approach to gathering and analysing data, which can lead to more objective and precise results. However, while there are many advantages to using this method, there are also several potential disadvantages.

• Quantitative observations are objective and systematic. As they hinge upon the collection of numerical data that can be analysed using statistical methods, this allows for an objective and systematic approach to data analysis. This helps to ensure the reliability and validity of the results.
• Quantitative observation research can fairly easily incorporate large sample sizes, which allows for a broader representation of the population being studied. This can increase the generalisability of the results.
• Quantitative observation research projects can be easily replicated, which allows other researchers to test the validity of the results and to build upon the research.

• Quantitative observations suffer from limited scope, as they only measure variables that can be quantified and/or standardised. This runs the risk of excluding important variables, in particular, ones that are difficult to quantify such as emotions or personal experiences.
• Quantitative observation research projects may focus on numerical data at the expense of a more detailed understanding of the context in which the data was collected. This can result in an oversimplified or incomplete understanding of the phenomenon being studied. A reliance on standardised data collection methods can limit the ability to adapt to changing circumstances or unexpected results.
• Even though quantitative observation aims to be objective, there is still a risk of research bias introduced on the part of the researcher, such as selection bias, omitted variable bias, or information bias.

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How do you make quantitative observations?

To make quantitative observations, you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

What is the difference between quantitative and qualitative observations?

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

How do you define an observational study?

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

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