Importance Of Quantitative Research

Quantitative research is done to find the accurate facts by evaluating the problems like opinion, behaviour by using numerical data. This research is based on theories, hypothesis, collecting, analysing the data to make the research accurate.

This paper primarily concerns qualitative research, but we were asked to compare both qualitative and quantitative methods. During comparison, there are many noted differences in both study designs, but not many similarities. Qualitative research uses a subjective approach with a large sample population. It collects non-statistical data, using an unstructured or semi-structured technique (Nieswiadomy & Bailey, 2018). Quantitative research uses an objective approach and large, random, sampling to ask opinions in a structured way. The findings of quantitative studies are conclusive and used to recommend a final course of action (Nieswiadomy & Bailey, 2018). While it is hard to see similarities between the two, both methods aim to find a solution to a problem or question, the researcher doing the study may affect the outcome and an analysis of the collected data must be done (Souza, 2017). What many don’t realize is the connection amongst the two. You can say, both types of research build upon one another, meaning quantitative studies can quantify results found in qualitative research (Souza, 2017).

Quantitative research is generally done using scientific methods, which includes the following steps: developing models, theories, and hypotheses of what the researcher expects to find, developing

Quantitative research methods are objective as it uses measurements and analysis of statistical data to answer the study question. The researchers’ opinions do not affect the outcome of the study, ensuring that the study is unbiased. Another advantage is quantitative research uses numbers and statistics which is understood universally (Houser,2008).

A quantitative study has objective stances, logic, and numbers focusing on unchanging data and details (Babbie, E.R., 2010). The aim of quantitative research is to classify features, count the features, and construct statistical models to explain what was observed (McNabb, D.E., 2008). It has eight characteristics:

There are many strength of quantitative research methods. However, some of the major strength of quantitative research methods are 1). It can be generalized when selections process is well designed and when the sample represents the study of population, 2). Compare to Qualitative it is relatively easy to analyze and 3). The data collected can be view as very reliable and specific (Creswell, 2015).

Quantitative research involves collection of data using a survey technique from human participants. Major benefit of human participants is that a researcher will be able to collect valid and reliable

The quantitative research design was used for this research. According to Vogt, W. P. (2005), quantitative research emphasizes the measurement and analysis of causal relationships between variables, not processes. Aliaga and Gunderson (2005) defines quantitative research as ‘Explaining a phenomena by collecting numerical data that are analyzed using mathematics based methods’ this approach

The quantitative approach to research has numerous principles that make it unique compared to other approaches. In this paper, I will break down many of the

Quantitative research defines the research that can produce statistics, solid facts, and numbers. It uses measurements and statistical analyses.

Quantitative research is a type of research that involves the use of numerical data and is used to obtain information. This involves testing a hypothesis or trying to discover correlations and relationships.

Quantitative research is to find a way to solve the problem as result generating numerical data or data that use as statistical data. This type of research is used to look at the attitudes, opinions, and behaviours and

The purpose of this paper is to provide a critique of the quantitative research study titled “The relationships among anxiety, anger, and blood pressure in children” (Howell, Rice, Carmon, & Hauber, 2007).

Data collection is important in this investigation. Both quantitative and qualitative data will be collected. Quantitative data is a form of numeric data which includes measurement and values. Various numeric

Quantitative research involves collecting data, which can be expressed numerically. The design is well structured with pre-determined outcomes. It frequently involves testing a hypothesis, which then can be analysed from the data deductively using statistical methods. Using numerical data is easier to analysis mathematical, so larger sample sizes can be utilised compared to qualitative research, therefore giving a better representative of the population; along with simplifying the process of making a generalisation. Another advantage is that studies can easily compare to similar findings (Kruger, 2003). The disadvantages are the results are limited and might not provide a proper understanding of the topic. Also, statistics and leading questions can be used to give a false representation of the data when summarising.