Quantitative Research Methods

Many of us are unaware of the various online forums and research websites, due to which we face issues while compiling our assignments. This means that we are also oblivious to the data collection methods used in quantitative research. Here in this blog, we will focus more on the concepts of quantitative research methods and their types.

The quantitative research method is one such process that involves the collection and interpretation of numerical data. This method is most commonly used to make predictions, extrapolate results to larger groups, discern patterns and averages, and test casual linkages. The quantitative research method is widely used in the fields of biology, economics, marketing, psychology, sociology, and chemistry.

The quantitative research method generally connotes a bigger sample size. This means that the findings of your study will be representative of a broader population. Following are some data collection methods that are used in quantitative research,

• Controlled observations
• Polls
• Surveys: mobile, questionnaire
• Experiments
• Telephone interviews
• Longitudinal studies
• Face-to-face interviews

Under the quantitative research method, the responses of the participants may vary depending upon the decisions they make. Further, we will talk about the types of quantitative research methods that might help you with your research.

Relationship data

This type of data highlights relationships, correlations, and trends between two or more variables. You can further rely on market research to determine the relationship between customers and brand loyalty.

Descriptive data

Descriptive data simplifies the process of quantifying a variable for a particular group.

Comparative data

With the help of this data, you get to compare two or more target groups based on the variables.

Now that you have an idea of what quantitative research methodologies are, next, we will study the methods of data collection in statistics. Descriptive and inferential statistics are two such types of collection of processing methods.

Descriptive statistics help you provide an overview of the data, along with the averages and variability measures. In order to visualize data or look for trends in the market, you can use frequency tables, scatter plots, and graphs. With the help of inferential statistics, you get to make generalizations and predictions based on your data. For descriptive statistics, you must first create a summary of your data. Then you move ahead with examining your data by finding two groups’ mean and mode. When it comes to testing your hypothesis, you use inferential statistics. Here, you uncover a significant difference and support for your hypothesis so that you are able to compare the mean ratings of the two groups.

Further, the methods of quantitative research can be implemented for descriptive, experimental, and correlational research. In the case of descriptive research, you must seek an overall summary of study variables. In the case of experimental research, you can systematically and carefully study whether there exists a cause-and-effect relationship between the variables. In the case of correlational research, you need to investigate relationships between the study variables.

We hope, by now, you must have understood the concept of quantitative research and how it is used for the data collection method. If you have any queries or need further understanding on the topic, then simply contact our online assignment writing services for help. Over the years, many students have put their faith in our expert writers as they provide top-notch assignments and academic papers. Along with this, we also ensure,

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