Make Sure That It Is Your Own Work And Not Copy And P 730063

Make Sure That It Is Your Own Work And Not Copy And Paste Off O

Please make sure that it is your own work and not copy and paste off of someone else's work because your professor will know. This is a DBA course and needs to be done at this level. Please read the study guide. Please use the APA 7th edition format. Please watch out for spelling and grammar errors. Book Reference: Gliner, J. A., Morgan, G. A., Leech, N. L. (2017). Research methods in applied settings: An integrated approach to design and analysis (3rd ed.). Routledge. Considering the five quantitative approaches described in Chapter 7 in the textbook, pick two approaches and explain them both.

Paper For Above instruction

Quantitative research methodologies are fundamental in providing empirical evidence in social sciences and other related fields. These approaches enable researchers to systematically collect and analyze numerical data, facilitating objective decision-making and generalization of results. Among the five primary quantitative approaches discussed in Gliner, Morgan, and Leech’s (2017) textbook, two approaches that stand out for their methodological rigor and applicability are the experimental approach and the survey approach. This paper will explore both methods, discussing their characteristics, advantages, limitations, and suitable contexts for use.

Experimental Approach

The experimental approach, also known as experimental research, involves the manipulation of one or more independent variables to observe their effect on a dependent variable. This approach is characterized by controlled settings where variables are systematically manipulated to establish cause-and-effect relationships. The hallmark of experimental research is the use of control groups, randomization, and sometimes, double-blinding procedures to eliminate potential biases and confounding variables (Gliner et al., 2017). This approach is largely employed in fields like psychology, medicine, and education, where understanding causality is crucial.

The strength of the experimental method lies in its ability to determine causation rather than mere correlation. For instance, a medical researcher testing the effectiveness of a new drug can manipulate whether participants receive the treatment or a placebo and observe differences in health outcomes. Randomized controlled trials (RCTs) exemplify the implementation of this approach, providing high internal validity and robust evidence for causality (Killam & Rachuba, 2018). However, experiments can sometimes lack ecological validity due to artificial settings, and ethical considerations sometimes limit the scope of manipulations.

While the experimental approach excels in establishing causal relationships, its applicability might be limited in social research where variables are less controllable, or ethical issues impede manipulation. Nevertheless, it remains a gold standard for testing hypotheses about cause-and-effect relationships in controlled environments (Shadish, Cook, & Campbell, 2002).

Survey Approach

The survey approach involves collecting data from a predefined population or a sample thereof through questionnaires, interviews, or digital polls. This approach is widely used due to its efficiency in gathering information from large groups of people, making it suitable for descriptive, correlational, or exploratory research. Surveys enable researchers to measure attitudes, beliefs, behaviors, and other variables of interest at a single point or over time (Gliner et al., 2017).

The primary advantage of surveys is their ability to reach geographically dispersed populations quickly and cost-effectively. They offer flexibility in question design, allowing both closed-ended questions for quantitative analysis and open-ended questions for qualitative insights. Nonetheless, surveys are susceptible to biases such as self-report bias, nonresponse bias, and poorly constructed questions, which can threaten validity and reliability (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003).

The survey approach is particularly useful in social sciences to gather large datasets that describe current states or perceptions within populations. For example, a researcher might survey school teachers about their experiences with online education policies or parents’ attitudes towards vaccination. Proper sampling techniques and questionnaire design are essential to ensure data quality and representativeness (Fowler, 2014).

Conclusion

Both the experimental and survey approaches serve vital roles within the realm of quantitative research, each suited for different research questions and contexts. The experimental approach is unparalleled for establishing causal relationships through controlled manipulations, while the survey approach excels in capturing broad, descriptive data across diverse populations. Selecting the appropriate method depends on the research objectives, ethical considerations, and practical constraints, but understanding the strengths and limitations of each ensures rigorous and meaningful research outcomes (Gliner et al., 2017).

References

• Fowler, F. J. (2014). Survey research methods (5th ed.). Sage Publications.
• Gliner, J. A., Morgan, G. A., & Leech, N. L. (2017). Research methods in applied settings: An integrated approach to design and analysis (3rd ed.). Routledge.
• Killam, L. G., & Rachuba, L. (2018). Evidence-based practice in nursing & healthcare: Aguide to best practice. Jones & Bartlett Learning.
• Podsakoff, P. M., MacKenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.
• Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.