Is Yes No Qualitative Or Quantitative?

Yes/

No is nominal

. It has no direction and therefore, it could be classified as qualitative with numerical description.

Is this qualitative or quantitative data?

Quantitative data

are measures of values or counts and are expressed as numbers. Quantitative data are data about numeric variables (e.g. how many; how much; or how often). Qualitative data are measures of ‘types’ and may be represented by a name, symbol, or a number code.

Is the mean qualitative or quantitative?

We can use

quantitative data

to compare the exact size and extent of difference in two quantities. With quantitative data, we are able to compute summary measures of the variable, such as their mean, median, or mode .

Is yes no qualitative data?

Most recent answer

Yes/No is nominal

. It has no direction and therefore, it could be classified as qualitative with numerical description.

What research is answerable yes or no?

Surveys (questionnaires)

can often contain both quantitative and qualitative questions. The quantitative questions might take the form of yes/no, or rating scale (1 to 5), whereas the qualitative questions would present a box where people can write in their own words.

Is yes or no quantitative data?

Experiments typically yield

quantitative data

, as they are concerned with measuring things. … For example, a rating scale or closed questions on a questionnaire would generate quantitative data as these produce either numerical data or data that can be put into categories (e.g., “yes,” “no” answers).

How can you tell if research is quantitative or qualitative?

Quantitative research deals with numbers and statistics

, while qualitative research deals with words and meanings. Quantitative methods allow you to systematically measure variables and test hypotheses. Qualitative methods allow you to explore concepts and experiences in more detail.

What are 3 examples of qualitative data?

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.

What is the main difference between quantitative and qualitative data?

Generally speaking, quantitative analysis involves

looking at the hard data, the actual numbers

. Qualitative analysis is less tangible. It concerns subjective characteristics and opinions – things that cannot be expressed as a number.

Why is quantitative better than qualitative?

Quantitative research is

more preferred over qualitative research

because it is more scientific, objective, fast, focused and acceptable. However, qualitative research is used when the researcher has no idea what to expect. It is used to define the problem or develop and approach to the problem.

What are examples of qualitative and quantitative data?

What are the types of qualitative data?

Qualitative data is of two types, namely;

nominal data and ordinal data

. Qualitative data sometimes takes up numeric values but doesn’t have numeric properties. This is a common case in ordinal data. Ordinal data have a scale and order to it.

Is yes or no discrete or continuous?

Discrete

data can be further sub-divided into three categories: binary, nominal and ordinal. Binary Data: A binary data only takes on two possible values. For example, lamp is on or lamp is off, answer is true or false, 0 or 1, yes or no etc. … These five responses are ordered so this would be an example of ordinal data.

What is a qualitative question?

qualitative questions,

ask “why” in a way that is open-ended

, giving respondents the space to provide greater detail about their motivations and reasoning in their own words. These responses are more difficult to analyze because, for the most part, the answers cannot be quantified using hard numbers.

Can a survey be both quantitative and qualitative?

Quantitative and qualitative research are complementary methods that you can combine in your

surveys

to get results that are both wide-reaching and deep. Simply put, quantitative data gets you the numbers to prove the broad general points of your research.

What is an example of a quantitative research question?

Here are some quantitative question examples:

How many text messages do you send a day? How frequently do you text while driving? How often do you send text messages while at work?