Quantitative Research Design Is The Sta Essay Example

the use of statistics, it can make generalizations and simplify complex problems into a manageable set of variables. It examines connections between variables and can determine cause and effect in controlled situations. Furthermore, quantitative research assesses theories or hypotheses, assuming that the sample accurately represents the population. Nevertheless, it might fail to consider participants' desired responses.

The laboratory experiments in the Quantitative Analysis involve deliberately manipulating the independent variable and strictly controlling other variables to test the cause and effect relationship. Field experiments, on the other hand, take place in a natural environment where the independent variable is still manipulated, but there is difficulty in controlling the situation, leading to a higher likelihood of extraneous variables. Ethical problems such as consent, deception, and invasion of privacy may arise in field experiments.

Quasi-or natural experiments, unlike laboratory and field experiments, examine the effects of the independent variable without having control over the independent variable itself, as it often occurs naturally. This inability to manipulate the independent variable can be due to ethical reasons or its impossibility.

In addition, quantitative observation can be conducted to gather data in a quantitative context. This may involve counting the use of services or determining the number of people accessing those services. Busy and quiet times can also be ascertained through quantitative observation (http://libber.surrey.ac.uk/library/skills/illumination20theresearchandgimanagingtinformation/leisteredm).

Quantitative research design is considered excellent for finalizing results and proving or disproving a hypothesis. This structure has remained unchanged for centuries and is standard across many scientific fields and disciplines. Once the results are statistically analyzed, a comprehensive answer is obtained, allowing for legitimate discussion and publication.

Quantitative experiments eliminate external factors when properly designed, resulting in unbiased and

genuine outcomes. These experiments are beneficial for validating the findings obtained from qualitative experiments, leading to a conclusive answer and narrowing down potential avenues for future research. However, quantitative experiments can be challenging, costly, and time-consuming. They demand meticulous planning to ensure randomization and accurate allocation of control groups. Additionally, conducting quantitative studies often necessitates complex statistical analysis, posing difficulties for non-statistician scientists.