Posted on: 31st Mar 2020 1098 Views

Quantitative Research : Definitive Guide

Quantitative research can be referred to as the technique of investigation which relies on measuring the different variables using the numerical system. Ph.D. scholars before starting the investigation have been confused about the technique to use for data collection and analysis in quantitative research. Research paper writing professionals are providing an explanation about the techniques which you can use for accumulation and analysis of facts in quantitative research.

Quantitative Research  

What is quantitative research?

Quantitative research can be referred to as a systematic investigation performed for the accumulation of numerical data related to the topic. Statistical and mathematical techniques are used for analyzing information.

You can accumulate information about your clients by utilizing a number of quantitative methods such as questionnaires, surveys, online polls, etc. The outcome of a quantitative investigation can be represented in the form of numbers. You can perform such a type of investigation in field science. You can also use statistical methods for the accumulation of data.

The main benefit of quantitative research is that you can ensure logical outcomes. In the context of the quantitative research method, it is very much important for you to use structured techniques and select a large sample that represents the complete population.

Example: You can perform quantitative investigation for identifying the time which doctor generally spends for examining a single patient. You for gathering the specific information can make use of a patient satisfaction survey template.The researcher can also schedule an interview.

Advantages of Quantitative Research

Some advantages of the Quantitative  method are that:

  • Helps in the collection of accurate and reliable data:  In Quantitative investigation, you need to collect all facts in numbers, it will help you in the generation of reliable outcomes.
  • Quick collection of data: In quantitative investigation collection of information and analysis can be done quickly.
  • Wide scope of data analysis: You can use statistical techniques for analyzing information.  You can have a wide scope of data collection.
  • Elimination of bias: In quantitative investigation methods there is no scope of biases in outcomes.  Results are generally in numerical form.

Disadvantages of Quantitative Research

Despite its advantages, quantitative research can be insufficient in understanding difficult study issues. The following are some of its drawbacks:

  • Superficiality
    Complex concepts may be inadequately represented by using precise and limited operational definitions. In quantitative research, the concept of mood, for example, might be represented by a single number, while in qualitative research, it might be expressed with more detail.
  • Focus on a certain area
    You may overlook other significant observations if you use predetermined variables and measurement methodologies.
  • Bias in the structure
    Structured biases can nevertheless impair quantitative research, despite standardized techniques. Biases such as missing data, inaccurate measurements, or ineffective sampling procedures can lead to incorrect findings.
  • The absence of context
    Quantitative research frequently takes place in unnatural environments, such as laboratories, or ignores historical and cultural circumstances that may influence data collecting and conclusions.

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Quantitative research methods

Quantitative research is basically data-oriented. 2 types of techniques that you can use for performing quantitative investigation are:

1. Primary quantitative research methods

The primary quantitative research method researcher generally uses for performing the market surveys. The unique feature of such a type of research method is that an investigator mainly emphasizes a collection of fresh information.

The 3 different types of primary quantitative research methods are:

(A) Correlational research methods

Statistical data is used to try to figure out how strong a relationship between two or more variables is. Relationships between and among a multitude of facts are sought and understood in this style of design. This form of research will identify trends and patterns in data, but it will not go so far as to show causation for these observed patterns in its analysis. This sort of observational research does not rely on cause and effect. The variables’ data, relationships, and distributions

(B) Causal and comparative research methods

Attempts to find cause-and-effect correlations between the factors. True experiments are fairly similar to these types of designs, but there are a few crucial differences. The experimenter identifies but does not modify an independent variable, and the effects of the independent variable on the dependent variable are assessed. The researcher must use spontaneously generated or pre-existing groups rather than assigning groups at random. Control groups that have been identified and are exposed to the treatment variable are researched and compared to groups that have not

(C) Experimental research methods

True experimentation, as the name implies, employs the scientific method to determine the cause-and-effect link between a set of variables in a study. The genuine experiment is frequently mistaken for laboratory research, although this is not always the case; the laboratory setting has no bearing on the true experiment.

Any study in which all other variables except one are identified and controlled is considered a valid experiment. To determine the effects on the dependent variables, an independent variable is changed. Rather than being randomized to naturally occurring groups, subjects are randomly assigned to experimental treatments.

2. Secondary Quantitative research methods

Secondary quantitative research methods are basically those techniques that you can use for the collection of already available information. The different sources from where you can gather secondary information are research reports, libraries, government resources, etc.

The secondary quantitative method helps you in demonstrating the validity of the information that you have collected by performing a primary quantitative investigation.

The 5 secondary quantitative research methods which investigator generally uses are:

  • The information available on the internet
  • Government and non-government sources
  • Public libraries
  • Commercial information sources
  • Educational institutions

What are data collections methodologies in quantitative research?

Data collection is one of the most important steps in quantitative research. The techniques that you can use for the collection of data in Quantitative research are:

  • Survey and polls

It is the best technique for the collection of primary quantitative data about the topic. By applying the survey quantitative technique you can reach a wide number of people and gather data from them.

  •  Questionnaire

It is the quantitative method you can apply for the collection of numerical data. In this method, you need to design the questions considering the objectives of the investigation in mind. The different types of questions that you can include in the questionnaire form are open-ended, close-ended, multiple-choice questions, rating scale questions, etc.

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How to analyze Quantitative data?

After data collection, the next step in the quantitative investigation is to analyze information that needs to be done for generating outcomes. At the time of the analysis of data, it is very crucial for you to associate the outcome with the objectives of the investigation. It is very crucial for you to develop the statistical relevance of outcomes. You should think about different aspects of an investigation. It is important for you to make a choice of appropriate statistical analysis techniques such as:

  • Swot analysis: This statistical technique that you can utilize for analyzing strengths, weaknesses, opportunities, and threats.
  • Conjoint analysis: It is considered to be the most suitable technique for analyzing the way an individual makes a complex decision related to buying products.
  • Cross-tabulation:  You can make use of such statistical techniques for analyzing patterns, trends, etc.
  • TURF analysis: It is Totally Unduplicated Reach and Frequency. It is an analysis technique that you can apply in a case where you intend to analyze a favorable communication source. You can also use this technique for developing an understanding of the target market.

Unique characteristics of Quantitative  investigation

  • Structured tools: The different tools and techniques which you can use for the collection of quantitative data include questionnaires, surveys, etc. These Quantitative tools and techniques will help you in the accumulation of in-depth and actionable data.
  • Sample size: In quantitative, sample size plays a very important role. The selection of an appropriate sample size is very much crucial for accomplishing desired objectives.
  • Close-ended Questions: While designing the close-ended questions you need to consider the objectives of the investigation. Close-ended questions will provide you an ease in the collection of quantitative data.
  • Prior studies: Before starting the collection of information, you need to analyze the different aspects of the study.
  • Quantitative data: You can utilize tables, graphs, charts for presenting the information in the quantitative investigation. Such types of presentation of data will help you and the reader in developing an understanding of information. By presenting the information in tables charts etc. You will get ease in proving the validity of the investigation.
  • Generalization of Outcomes: Outcomes of such type of investigation could be generalized to complete the population so that you can take suitable actions for improvement.

Quantitative Research example

Suppose, you intent to perform an investigation for the organization in order to find the level of customer satisfaction. You can utilize the survey Quantitative technique for the collection of data related to customer satisfaction.

By applying the survey technique you can also collect facts in order to gather and analyze the reputation of a firm in the market in relation to the quality of goods, customer experience, etc. You can also use matrix table questions or net promoter score questions for gathering numerical data.

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Conclusion

With a quantitative investigation, where the researcher collects specific data and measures it accordingly to find out how much of something there is or what that something means for other aspects in life, they are less likely than with qualitative research methods like surveys. This type of methodology helps produce accurate outcomes more often because you have an actual number rather than someone’s opinion about their experience with your product

In this passage, we learn two things: firstly, that when conducting a quantitative study (where researchers measure concrete metrics), biases can be reduced; secondly, through these studies one can make sure their findings will be as close to reality as possible by getting hard numbers from measuring instead relying on people’s opinions about products.

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