Question: How Do You Interpret Quantitative Data?

How do you analyze quantitative data?

Quantitative Data: Analysis MethodsCross-tabulation: Cross-tabulation is the most widely used quantitative data analysis methods.

Trend analysis: Trend analysis is a statistical analysis method that provides the ability to look at quantitative data that has been collected over a long period of time.More items….

What does quantitative data tell you?

The definition of quantitative data is simply any data that can be counted or expressed numerically. With quantitative data, we are usually trying to answer questions involving quantity, frequency, value, or size. … Discrete data has a limited number of possible values (e.g., whole numbers from 1-100).

What are 2 examples of quantitative data?

There are two general types of data. Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails.

How do you Analyse qualitative and quantitative data?

The most commonly used data analysis methods are:Content analysis: This is one of the most common methods to analyze qualitative data. … Narrative analysis: This method is used to analyze content from various sources, such as interviews of respondents, observations from the field, or surveys.More items…•

What is quantitative research examples?

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.

What is quantitative example?

Quantitative Information – Involves a measurable quantity—numbers are used. … Some examples are length, mass, temperature, and time. Quantitative information is often called data, but can also be things other than numbers.

What are examples of quantitative observations?

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.

How do you interpret statistical data?

Interpret the key results for Descriptive StatisticsStep 1: Describe the size of your sample.Step 2: Describe the center of your data.Step 3: Describe the spread of your data.Step 4: Assess the shape and spread of your data distribution.Compare data from different groups.

Which of the following is an example of quantitative data?

1.2 Data: Quantitative Data & Qualitative DataQuantitative DataQualitative DataExamplesAmount of money you have Height Weight Number of people living in your town Number of students who take statisticsHair color Blood type Ethnic group The car a person drives The street a person lives on2 more rows

What is quantitative data good for?

Quantitative data are used when a researcher is trying to quantify a problem, or address the “what” or “how many” aspects of a research question. It is data that can either be counted or compared on a numeric scale.

How do you interpret results?

People often simply summarize their results because they do not know how to interpret their findings. Summary, however, is not interpretation. Interpreting your findings is about seeing whether what you found confirms or does not confirm the findings of previous studies in your literature review.

How do you interpret qualitative data?

Qualitative data analysis requires a 5-step process:Prepare and organize your data. Print out your transcripts, gather your notes, documents, or other materials. … Review and explore the data. … Create initial codes. … Review those codes and revise or combine into themes. … Present themes in a cohesive manner.

What are two types of quantitative variables?

There are two types of quantitative variables: discrete and continuous. What does the data represent? Counts of individual items or values.

What is an example of a qualitative data?

Qualitative data is a type of data that describes information. … are however regarded as qualitative data because they are categorical and unique to one individual. Examples of qualitative data include sex (male or female), name, state of origin, citizenship, etc.