Research Design Refers To The Specific Type Of Study 330803

Research Design Refers To The Specific Type Of Study That You Will Con

Research design refers to the specific type of study that you will conduct. Research design is normally consistent with one’s philosophical worldview and the methodological approach the researcher chooses. In this case, you are using a quantitative methodology. As we have discussed in this course, quantitative research designs can be experimental and non-experimental. You will be using a non-experimental design that can include descriptive statistics, correlational or causal-comparative research methods.

Research methods refer to specific procedures selected based on the chosen design. This is where you will provide detail on how you collected and analyzed your data. For quantitative methodologies, research methods can be quite detailed and require that attention be paid to recruitment, sampling, sampling frame, sample size, surveys, pilot tests, observations, data collection, data analysis, statistical procedures, data interpretation, coding, validity, reliability, generalizability, reporting, etc. For this assignment, you will develop the research design for the Sun Coast project, utilizing this Unit III template (attached) to complete your assignment. The research design submission should include the below elements.

I have also attached the project guidance with a section that explains the business problems. Research Methodology: Describe and justify the choice of research methodology and why it was most suitable to solve the problems. Be sure to compare and contrast this choice with the design that was not selected. Research Design: Explain whether the research design is exploratory, causal, or descriptive. Provide the rationale for the choice.

Research Methods: Review the research questions and hypotheses you developed in Unit II, and then decide on the most appropriate research methods to test your hypotheses. They might include a combination of experimentation, descriptive statistics, correlation, and causal-comparative methods. Be sure to specify which method will be used to test which research question and hypotheses, and explain why that method was most appropriate. Data Collection Methods: Specify how the data were most likely collected to test the hypotheses. Data collection methods include, but are not limited to, survey, observation, and records analysis.

Be sure to specify which data collection method was used to collect the data needed for each research question and hypothesis. Please note that one data collection method could capture the data for several research questions and hypotheses. Sampling Design: Briefly describe the type of sampling design that was most likely used for the data that were collected. Choices include, but are not limited to, random sample, convenience sample, etc. Explain your rationale for your sampling design selection(s).

Data Analysis Procedures: Specify which statistical procedures will be used to test each of your hypotheses from among correlation, regression, t test, and ANOVA. Explain why each procedure was the most appropriate choice. The title and reference pages do not count toward the page requirement for this assignment. This assignment should be two pages in length, follow APA-style formatting and guidelines, and use references and citations as necessary.

Paper For Above instruction

In designing a research study, especially within a quantitative framework, it is crucial to systematically outline the research design, methodology, data collection techniques, sampling strategies, and data analysis procedures. For the Sun Coast project, a non-experimental, descriptive, or correlational research design appears appropriate, considering the nature of the business problems and hypotheses posited. This approach allows for understanding relationships among variables without manipulating independent variables, which aligns with the observational nature of the research.

Research methodology selection hinges on the specific goals and questions of the study. Given that the research involves understanding current conditions or relationships, a correlational research methodology is suitable. This choice permits the examination of associations between variables such as customer satisfaction, service delivery times, or employee engagement levels. Unlike experimental designs, which involve manipulating variables to infer causality, correlational studies analyze existing data, making them less intrusive and more ethical in business contexts. Alternative approaches like causal-comparative designs could be considered if the goal was to explore causality explicitly; however, if the primary aim is to identify relationships, correlation is most justified.

The research design for this project is primarily descriptive and correlational. It aims to describe current states of the variables and understand associations among them. This rationale stems from the business's need to evaluate existing processes and customer perceptions without intervention, emphasizing understanding over causation. An exploratory design would be suitable if little is known about the variables, but in this case, prior knowledge and preliminary data justify a descriptive or correlational approach.

Regarding research methods, the study should utilize surveys for data collection, as they are efficient and versatile in capturing perceptions, attitudes, and behaviors from a broad sample. Surveys can include structured questionnaires targeting employees and customers to assess variables such as satisfaction and service quality. These data points can be statistically analyzed using correlation and regression techniques to explore relationships and possible predictive factors. For example, a survey item measuring perceived service quality can be correlated with customer loyalty scores, or regression analysis can identify predictors of employee satisfaction.

Each research question and hypothesis guides the choice of analysis. For instance, if the research hypothesizes a relationship between employee engagement and customer satisfaction, Pearson correlation or Spearman's rho can be used if data are ordinal or not normally distributed. Regression analysis could further quantify the impact of specific engagement factors on satisfaction levels. If comparisons between groups are necessary, independent samples t-tests or ANOVA may be used, such as comparing satisfaction scores across different store locations.

The sampling design should be pragmatic, often employing convenience sampling due to accessibility and resource constraints. For example, data collection might target employees and customers available during scheduled visits or via online surveys distributed through company channels. While random sampling enhances generalizability, convenience sampling is frequently more feasible in business settings, providing valuable insights despite some limitations regarding representativeness.

Data analysis procedures must align with the hypotheses. For relationships, correlation and regression are appropriate, providing insights into the strength and nature of associations. These techniques are suitable for continuous variables and can be performed using statistical software such as SPSS or R. For group comparisons, t-tests or ANOVA can be used, depending on the number of groups and variable types. The rationale for these choices lies in their robustness, ease of interpretation, and suitability for the data types involved.

In conclusion, designing a sound research plan for the Sun Coast project involves selecting a correlational, descriptive design, employing survey-based data collection with convenience sampling, and applying appropriate statistical tests such as correlation, regression, t-tests, or ANOVA. This comprehensive approach ensures the study accurately captures current relationships among variables and provides actionable insights for business improvement, adhering to APA formatting and scholarly standards.

References

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