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What is Descriptive Research?

Key Differences Between Exploratory and Descriptive Research

❶For example, descriptive statistics can be used to calculate the percentage of a population that supports the policies of a particular president.

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Content: Exploratory Research Vs Descriptive Research

This would sure be easier for someone to interpret than a big spreadsheet. There are hundreds of ways to visualize data, including data tables, pie charts, line charts, etc. Note that the analysis is limited to your data and that you are not extrapolating any conclusions about a full population. Descriptive statistic reports generally include summary data tables kind of like the age table above , graphics like the charts above , and text to explain what the charts and tables are showing.

There are thousands of expensive research reports that do nothing more than descriptive statistics. Descriptive statistics usually involve measures of central tendency mean, median, mode and measures of dispersion variance, standard deviation, etc. Well, there are about 7 billion people in the world, and it would be impossible to ask every single person about their ice cream preferences. Instead, you would try to sample a representative population of people and then extrapolate your sample results to the entire population.

This is the idea behind inferential statistics. As you can imagine, getting a representative sample is really important. There are all sorts of sampling strategies , including random sampling. A true random sample means that everyone in the target population has an equal chance of being selected for the sample.

Imagine how difficult that would be in the case of the entire world population since not everyone in the world is easily accessible by phone, email, etc. Another key component of proper sampling is the size of the sample. To conduct a case study, detailed information regarding a participant or group is collected and summarized.

This information is not intended to generate conclusions about a larger population, but rather to describe the event, individual or group that's the subject of the study.

A job analysis describes and classifies jobs. For example, a job analysis may provide detailed information regarding the major tasks of a tax accountant, the environment in which he works and the physical, emotional and cognitive capacities required for an individual to be successful in the role.

Whereas job analyses are used by corporations in hiring, training and evaluating employees, governments rely on the job descriptions to monitor workforce activity.

In turn, psychologists focus on job characteristics to analyze issues of workplace behavior. Document analysis requires the collection and review of documents that are specific to a particular group in terms of the characteristics of the individual group members or their behavior. For example, government statistics provide information regarding the income, gender, age and education of the U.

Document analysis requires that documents be selected according to predefined criteria that reflect the issues regarding which a researcher seeks evidence.

Written agreements, website data, meeting agendas, reports and other publications can be used for this purpose. Correlational studies allow a researcher to identify an association between two variables as well as the degree to which the association holds true across multiple populations. For example, a study may focus on a man's age and his expenditures on sports equipment.

A positive correlation suggests that a man will spend more on sports equipment as he grows older whereas a negative correlation suggests that he spends less with age. Billie Nordmeyer works as a consultant advising small businesses and Fortune companies on performance improvement initiatives, as well as SAP software selection and implementation.

During her career, she has published business and technology-based articles and texts. Nordmeyer holds a Bachelor of Science in accounting, a Master of Arts in international management and a Master of Business Administration in finance. Skip to main content. Survey A survey gathers information from a sample to construct quantitative statistics that describe the size and attributes of a larger population.


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Market researchers use descriptive or quantitative market research to answer a specific question, which may be expressed in the form of a hypothesis when the inquiry is characterized by an evidence-based .

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The focus of descriptive research is to provide an accurate description for something that is occurring. For example, what age group is buying a particular brand; a product’s market share within a certain industry; how many competitors a company faces; etc.

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Descriptive marketing research is a form of conclusive research used to describe both the composition of a group in such terms as income, gender, age and education and the characteristics of group members in regards to both current and future behavior. Descriptive Research. Descriptive research takes up the bulk of online surveying and is considered conclusive in nature due to its quantitative nature. Unlike exploratory research, descriptive research is preplanned and structured in design so the information collected can .

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Descriptive Research, as explained by DJS Research Ltd. This research is the most commonly used and the basic reason for carrying out descriptive research is to identify the cause of something that is happening. For instance, this research could be used in order to find out what age group is buying. What Are Descriptive Statistics in Market Research? Charts, tables, mean scores, averages and percentages are used to describe survey data. For example, if a question asks customers about their perception of the company, descriptive statistics may be used to summarize how many responded positively and negatively.