Quantitative research is a research design that relies on measuring variables utilizing a numerical system

Quantitative research is a research design that relies on measuring variables utilizing a numerical system, analyzing the measurements using statistical tools, and then reporting associations and relationships between the variables. The goal of applying a quantitative research design is to study, understand, define, and forecast a phenomenon’s occurrence, especially by developing theories and models. The design seeks to establish the relationship between an independent variable and a dependent variable. The design might assume a descriptive design or an experimental design. The descriptive design aims to find the relationship between particular variables, while the experiment design seeks to establish the cause of something (Goertzen, 2017). Quantitative research quantifies relationships between variables such as time, weight, treatment, performance, among others. The variables are measured on sample subjects, which might be cells, humans, animals, or others. The relationship between variables is expressed using statistical effects such as frequencies, correlations, and mean differences.

As a nurse, I would use experimental research that focuses on building research that has high internal or causal validity. The design uses an approach of taking measurements before and after treatment in what is called time series. However, I would opt for a crossover design rather than a time series design since the time series does not explain the cause of something between the treatments. A change in the behavior of subjects might result from something other than the treatment. A crossover design checks this problem by having two treatments, a real one, and a reference treatment, also called control treatment (Baker, 2017). The subjects are divided into two; then, one half receives the real treatment first while the other half gets the reference first. After a significant amount of time, the treatments are crossed over. More than two treatments might also be applied in what is called multiple crossovers.

The method I would apply for selecting my sample for the study is the simple random sampling technique. The technique involves selecting units from a population whereby they all have an equal and independent chance of being selected. Each individual or unit to be used in the study is chosen by chance. It is applicable when the population is large and extensive, which would make it unrealistic to use the whole population (Price & Lovell, 2018). A small representative of the entire population is selected, which is called the sample. One should be careful while conducting simple random sampling since bias is a likely occurrence. To avoid bias, the researcher should select samples from the entire population and not just part of it. The technique is easier to use since a smaller number is used to represent the broader population accurately.

I would employ questionnaires to collect data when using the quantitative research method. A questionnaire is an instrument of data collection that consists of multiple questions whose primary reason is to gather and record information from respondents. It is a kind of written interview. Questionnaires offer a cheap, fast, and efficient way of collecting loads of information from a selected sample of people or other units (Price & Lovell, 2018). It is a quick way since the researcher does not have to be present during the completion of questionnaires. It is a suitable way of measuring behaviors, opinions, preferences, and attitudes of people before conducting an experimental study or any other study.

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