Quantitative Research

 Quantitative Research.

 Quantitative research is defined as a systematic investigation, which means that it is based on numerical results. Quantitative research is a dominant research framework in the social sciences. It is made by a set of strategies, techniques, and, assumptions based on social,  psychological, and economic processes throughout the exploration of numerical patterns. In other words, it gathers a range of numeric data.

Quantitative research 

    characteristics. 

There are some distinguishing characteristics:

1. Structure tools: They are surveys, polls, and questionnaires. those are used to gather quantitative data.
2.  Generalization of results and quantitative data: The result of data in this research are generalized to an entire population. Data usually is presented by charts, tablets, etc. Which makes it easier to understand the data that has been collected.
3. Prior studies: Different factors related to the research topic can be studied before collecting the data.
4.  Last but not least, closed-ended questions: Closed-ended questions are prepared according to the objectives.

The main use of Quantitative Research:

Quantitative research is helpful when you collect data from a large group of diverse respondents. It is also a good method to use when your audience is more receptive to results in the form of facts, graphs, charts, and statistics. Furthermore, Researchers typically use quantitative data when the objective of their study is to assess a problem or answer the “what” or “how many” of a research question. In essence, the goal of quantitative research studies is to understand the relationship in a population between an independent variable and one or more dependent variables.      

Advantages and disadvantages of Quantitative research:

                                               

The Advantages:

• You get your hands on a larger sample: With a quantitative survey, a much broader study can be done – one which involves more people. Naturally, you’ll be able to more accurately generalize your results across an even wider group of people.
• You get objectivity and accuracy:  The data you’re collecting is often ‘close-ended’, which means people are choosing clear-cut multiple choice answers, 
• It’s faster and easier: With quantitative data collection, you can step into the world of automation. These can conduct thousands of interviews at the same time across multiple countries.
• You can save money: Because they’re quick to run, quantitative methods are famously cost-effective. 

The Disadvantages:

• You’re faced with limitations: A quantitative method needs to have pre-set answers, and sometimes, how a participant thinks, feels, or behaves might not be featured in the list. Their true answer is masked by your lack of options, and it might push them to pick one that doesn’t really reflect how they feel.