# Quantitative data and qualitative data pdf

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## Difference Between Qualitative and Quantitative Data

Statistics is all about study and collection of data. In our earlier topic, we have discussed primary and secondary data. Primary data is the data acquired by the researcher to address the problem at hand, which is classified as qualitative data and quantitative data.

Qualitative data is a data concerned with descriptions, which can be observed but cannot be computed. On the contrary, quantitative data is the one that focuses on numbers and mathematical calculations and can be calculated and computed.

These data types are used in a number of fields like marketing, sociology, business, public health and so on. Take a read of this article to know the difference between qualitative and quantitative data. Basis for Comparison Qualitative Data Quantitative Data Meaning Qualitative data is the data in which the classification of objects is based on attributes and properties.

Quantitative Data is the type of data which can be measured and expressed numerically. How many or How much? Sample Small number of non-representative samples Large number of representative samples Outcome Develops initial understanding. Recommends final course of action. Qualitative Data refers to the data that provides insights and understanding about a particular problem.

It can be approximated but cannot be computed. Hence, the researcher should possess complete knowledge about the type of characteristic, prior to the collection of data. The nature of data is descriptive and so it is a bit difficult to analyze it.

This type of data can be classified into categories, on the basis of physical attributes and properties of the object. The data is interpreted as spoken or written narratives rather than numbers.

It is concerned with the data that is observable in terms of smell, appearance, taste, feel, texture, gender, nationality and so on. The methods of collecting qualitative data are:. Quantitative Data, as the name suggests is one which deals with quantity or numbers.

It refers to the data which computes the values and counts and can be expressed in numerical terms is called quantitative data. In statistics, most of the analysis are conducted using this data. Quantitative data may be used in computation and statistical test.

It is concerned with measurements like height, weight, volume, length, size, humidity, speed, age etc. The tabular and diagrammatic presentation of data is also possible, in the form of charts, graphs, tables, etc.

Further, the quantitative data can be classified as discrete or continuous data. The fundamental points of difference between qualitative and quantitative data are discussed below:. So, for the collection and measurement of data, any of the two methods discussed above can be used. Although both have its merits and demerits, i.

Both are used in conjunction so that the data gathered is free from any errors. Further, both can be acquired from the same data unit only their variables of interest are different, i. Thank you for the well organized presentation, it explains the difference between Qualitative and Quantitative data. Your email address will not be published. Save my name, email, and website in this browser for the next time I comment.

Key Differences Between Qualitative and Quantitative Data The fundamental points of difference between qualitative and quantitative data are discussed below: The data type, in which the classification of objects is based on attributes quality is called qualitative data.

The type of data which can be counted and expressed in numbers and values is called quantitative data. The research methodology is exploratory in qualitative data, i. On the other hand, quantitative data is conclusive in nature which aims at testing a specific hypothesis and examine the relationships. The approach to inquiry in the case of qualitative data is subjective and holistic whereas quantitative data has an objective and focused approach.

When the data type is qualitative the analysis is non-statistical. As opposed to quantitative data which uses statistical analysis. In qualitative data, there is an unstructured gathering of data.

As against this, data collection is structured in quantitative data. While qualitative data determines the depth of understanding, quantitative data ascertains the level of occurrence. Conversely, the sample size is large in quantitative data drawn from the representative sample. Qualitative data develops initial understanding, i.

## Qualitative vs. quantitative research

By Dr. Saul McLeod , updated Jump to Quantitative Research Data. Qualitative research is the process of collecting, analyzing, and interpreting non-numerical data, such as language. Qualitative research can be used to understand how an individual subjectively perceives and gives meaning to their social reality. Qualitative data is defined as non-numerical data, such as text, video, photographs or audio recordings. This type of data can be collected using diary accounts or in-depth interviews, and analyzed using grounded theory or thematic analysis.

## Data Module #1: What is Research Data?

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. For example, it could be the number of first year students at Macalester, or the ratings on a scale of of the quality of food served at Cafe Mac. This data are usually gathered using instruments, such as a questionnaire which includes a ratings scale or a thermometer to collect weather data. Statistical analysis software, such as SPSS, is often used to analyze quantitative data.

What is qualitative research? We define qualitative research as an iterative process in which improved understanding to the scientific community is achieved by making new significant distinctions resulting from getting closer to the phenomenon studied. This formulation is developed as a tool to help improve research designs while stressing that a qualitative dimension is present in quantitative work as well. Additionally, it can facilitate teaching, communication between researchers, diminish the gap between qualitative and quantitative researchers, help to address critiques of qualitative methods, and be used as a standard of evaluation of qualitative research. If we assume that there is something called qualitative research, what exactly is this qualitative feature?

Qualitative research deals in more abstract descriptions while quantitative research deals in numbers and actual hard data. Variables Study of the whole, not variables. The difference between qualitative and quantitative research is fairly simple, yet their consequences are diverse and often complicated. In a nutshell, quantitative research generates numerical data or information that can be converted into numbers.

### Qualitative Data – Definition, Types, Analysis and Examples

Researchers often have issues choosing which research method to go with: quantitative or qualitative research methods? Many incorrectly think the two terms can be used interchangeably. Qualitative research is regarded as exploratory and is used to uncover trends in thoughts and opinions, while quantitative research is used to quantify the problem by way of generating numerical data or data that can be transformed into usable statistics. At the end of this article, you will understand why you should consider using quantitative research instead of qualitative method in your research surveys. Qualitative research is a process of real-life inquiry that aims to understand social phenomena. It is a scientific research method used to gather non-numerical data.

Statistics is all about study and collection of data. In our earlier topic, we have discussed primary and secondary data. Primary data is the data acquired by the researcher to address the problem at hand, which is classified as qualitative data and quantitative data. Qualitative data is a data concerned with descriptions, which can be observed but cannot be computed. On the contrary, quantitative data is the one that focuses on numbers and mathematical calculations and can be calculated and computed. These data types are used in a number of fields like marketing, sociology, business, public health and so on. Take a read of this article to know the difference between qualitative and quantitative data.

data, the quantitative research uses logical or statistical. observations to draw conclusions. In a qualitative research,. there are only a few.

#### Qualitative Research

Published on April 12, by Raimo Streefkerk. Revised on February 15, When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative researc h deals with words and meanings. Both are important for gaining different kinds of knowledge. Qualitative research Qualitative research is expressed in words. It is used to understand concepts, thoughts or experiences.

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