Exploratory research is defined as a research used to investigate a problem which is not clearly defined. Such a research is usually carried out when the problem is at a preliminary stage. It is often referred to as grounded theory approach or interpretive research as it used to answer questions like what, why and how.

10 Types of Data Visualization Explained

1. Column Chart. This is one of the most common types of data visualization tools.
2. Bar Graph.
3. Stacked Bar Graph.
4. Line Graph.
5. Dual-Axis Chart.
6. Mekko Chart.
7. Pie Chart.
8. Scatter Plot.

explanatory Research is the conducted for a problem which was not well researched before, demnds priorities, generates operational definitions and provides a better-researched model. It is actually a type of research design which focuses on explaining the aspects of your study in a detailed manner.

Definition of Exploratory. associated with searching and examining something. Examples of Exploratory in a sentence. 1. For my technical writing class, I decided to conduct exploratory research to narrow down my topic for my next paper.

Exploratory-Descriptive designs. Exploratory-descriptive designs, usually field studies in natural settings, provide the least control over variables. The data collected either contribute to the development of theory or explain phenomena from the perspective of the persons being studied.

Qualitative research can be used to explore or explain: Explanatory research looks to understand why consumers make certain choices, how thoughts and ideas vary across different segments or how well certain ideas are understood. Explanatory qualitative research may follow a quantitative study to dig deeper into trends.

There are three main types of research design: Data collection, measurement, and analysis.

Exploratory research is an important part of any marketing or business strategy. Its focus is on the discovery of ideas and insights as opposed to collecting statistically accurate data. When it comes to online surveys, the most common example of exploratory research takes place in the form of open-ended questions.

Exploratory research is used when the topic or issue is new and when data is difficult to collect. Exploratory research is flexible and can address research questions of all types (what, why, how). Exploratory research is often used to generate formal hypotheses.

An exploratory design is conducted about a research problem when there are few or no earlier studies to refer to or rely upon to predict an outcome. The focus is on gaining insights and familiarity for later investigation or undertaken when research problems are in a preliminary stage of investigation.

The exploratory sequential mixed methods design is characterized by an initial qualitative phase of data collection and analysis, followed by a phase of quantitative data collection and analysis, with a final phase of integration or linking of data from the two separate strands of data.

The following are some examples for studies with exploratory research design in business studies: A study into the role of social networking sites as an effective marketing communication channel. An investigation into the ways of improvement of quality of customer services within hospitality sector in London.

Qualitative Research is primarily exploratory research. It is used to gain an understanding of underlying reasons, opinions, and motivations. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research.

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.

Methods (used to obtain quantitative data) 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).

Quantitative data is defined as the value of data in the form of counts or numbers where each data-set has an unique numerical value associated with it. Quantitative data is usually collected for statistical analysis using surveys, polls or questionnaires sent across to a specific section of a population.