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Research Methods

Michell Muldrow

Columbia Southern University

Research Methods

Dr. Senft

October 19, 2021

Research Methodology, Design, and Methods

This part comprises procedures or techniques for identifying, selecting, and analyzing the topic under study. Therefore, the methodology will enable the researcher to critically examine a study's overall validity and reliability to maintain evidence-based findings.

Research Methodology

The selected research methodology is quantitative. Using this methodology, a researcher can use numbers and graphs to express the collected data when confirming the theories and assumptions about the research problem. Therefore, the procedure enables an in-depth understanding of the relationship between an independent and dependent variable in a population. In sum, the primary reasons for selecting quantitative over qualitative methods are that it is more scientific, objective, and control-sensitive.

The methodology is more scientific than qualitative because it involves collecting a large amount of data for statistical analysis. As a result of this vast collection, bias gets erased, and if more researchers ran the analysis on the data, they get the same findings. Similarly, the quantitative methodology gives a researcher more control over collecting data while remaining objective to avoid bias (Basias & Pollalis, 2018). Based on these three reasons, the method becomes the best alternative for the problem.

Research Design

For this project, the research design should be descriptive (non experimental). This design will give the best results when testing the research hypothesis on the six identified problems. The design is helpful when you are describing a relationship between two or more variables, all without any interference from the researcher. For instance, in Sun Coast, the issue of employee safety has inadequate training as the causing factor for workplace injuries (effect). Therefore, this researcher will examine the relationship between training and injuries witnessed among the employees. These aspects will make the critical variables for establishing the connection.

Research Methods/Data Collection Methods

The research methods that will be used for this project will be descriptive, correlational, and causal-comparative.

Descriptive research often involves collecting information through data review, surveys, interviews, or observation.

Correlational Research is used to test a null hypothesis stating no relationship exists between variables.

Causal-comparative research attempts to identify a cause-effect relationship between two or more groups.

The data collection methods that will be used a survey in which contact can be made via telephone which can include a skype call or video conference, mail in which a questionare can be sent out, electronically where a survey can be sent through email ,observation in which a researcher can count the number of people attending a certain event and finally document analysis which uses public records to gather information.

Sampling Design

Sampling design is part of the research methodology, and it considers the total number of Sun Coast employees as the target finite population. Therefore, a sample will represent the whole workforce population in which the people to make the sample will be randomly selected. This random selection implies that the researcher will give each employee an equal probability of being chosen. Thus, a random sample becomes the sampling design for this study. However, before selecting the sample, a researcher will first define the population, specify the sampling frame and unit, select the method, determine the sample size, and specify the sampling plan (Burger & Silima, 2016). With Sun Coast the method of sampling will be target population sample which is when samples are taken from a person or population of interest to participate with each having a chance to be chosen to provide a sample,

Sample size has to do with the size of the sample which would be collected as it can have an affect of the quality of such sample.

Sample type and stratified sample is a probability sample, whereas a quota sampleand a convenience sample is a non-probability

Data Analysis Procedures

P1- This problem will use a correlation analysis whch will determine the existing association between the two variables by computing their relationship. A high correlation will imply a cause-effect relationship through this approach, while a low correlation will mean a weak connection between the variables (Tabuena & Hilario, 2021).

P2- This problem will use simple regression to determine critical factors and the ones not critical to ignore.

P3- This problem will use multiple regression to determine if additional research is needed or when multiple X variables are included in the analysis to make a prediction about a change in a single Y variable.

P4- This problem will use the t test a null hypothesis stating there is no statistically significant difference between two means.

P5- This problem will also use the t test determine whether the mean difference between two sets of observations is zero.

P6- This problem will use a test that is like the t test however it will determine if a null hypothesis that no statistically significant differences exist among means for three or more groups.

References

Basias, N., & Pollalis, Y. (2018). Quantitative and qualitative research in business & technology: Justifying a suitable research methodology. Review of Integrative Business and Economics Research, 7, 91-105.

Burger, A., & Silima, T. (2016). Sampling and sampling design. Journal of public administration, 41(3), 656-668.

Edmonds, W. A., & Kennedy, T. D. (2019). Quantitative Methods for Experimental and Quasi-Experimental Research. An Applied Guide to Research Designs: Quantitative, Qualitative, and Mixed Methods. Thousand Oaks, CA: Sage, 29-34.

Schweizer, M. L., Braun, B. I., & Milstone, A. M. (2016). Research methods in healthcare epidemiology and antimicrobial stewardship—quasi-experimental designs. Infection control & hospital epidemiology, 37(10), 1135-1140.

Tabuena, A. C., & Hilario, Y. M. C. (2021). Research data analysis methods in addressing the K-12 learning competency on data analysis procedures among senior high school research courses. International Journal of Recent Research and Applied Studies, 8(3), 1.