Strategy for Condensing a Vast Study Domain

Strategy for Condensing a Vast Study Domain

 Strategy for Condensing a Vast Study Domain

Running head: RESEARCH METHOD AND DESIGN 1

RESEARCH METHOD AND DESIGN 5

Select a Possible Method and Design

Hiba Al Mehdi

School of Business, Northcentral University

CMP-9701B: Pre-Candidacy Prospectus

Dr. Gabriele Suboch

August 23, 2022

Hello Hiba, thank you for posting. You did not make many changes in this section.

Plese see my comments as you still have the information that I had questioned and we discussed on the phone. Please see my comments cheers, Dr Suboch 8/31/22

Research Method and Design

The research method used for the study is the quantitative research method. The term “quantitative research method” describes an approach to studying social, economic, and psychological phenomena (Crowe et al., 2017). This research method places a premium on empirical evidence from sources such as surveys, database exploration, or the algorithmic manipulation of preexisting statistical information (Ratelle et al., 2019). Quantitative research is distinguished by its emphasis on collecting numerical data and its application to the generalization of findings across populations or the explanation of a specific topic. Researchers can perform simple to highly complex statistical analyses on the collected quantitative data. For instance, it is summarizing the information, illustrating correlations within topics, or comparing different sets of summarized data (Kibuacha, 2021). Comment by Gabriele Suboch: Why does this mean? Comment by Gabriele Suboch: ??????

The researcher will use a case study design for the study. A case study, as opposed to a more general statistical survey, investigates one specific instance in greater detail (Crowe et al., 2017). It is a strategy for condensing a vast study domain into a single subject that can be investigated relatively easily. The case study approach will incorporate data from databases like the United States Customs and Border Protection (CBP), the Department of Homeland Security (DHS), and other scholarly publications. Data triangulation is a strategy that boosts a study’s credibility, gathering information from separate sources. This strategy ensures that its findings are reliable (i.e., the degree to which the method is suitable for answering the research questions). The underlying assumption is that evidence gathered using diverse methods should lead to comparable findings (Crowe et al., 2017). To guarantee external validity, researchers must use a statistically and demographically accurate sample. Therefore, all the data from chosen databases will be analyzed to ensure that the findings reliably extrapolated to the population

The quantitative methodology and case study design are appropriate in addressing the research problem: to investigate whether there is a correlation between illegal immigration, drug trafficking, and open borders. By employing these techniques, the researcher will be able to collect information from databases maintained by the Department of Homeland Security, Customs and Border Protection (CBP), and other peer-reviewed sources. Generalize it, and ascertain whether there is any correlation between the variables, thereby accurately addressing the research problem and purpose. The following two research questions guide my research: What is the correlation, if any, between illegal immigration, drug trafficking, and open borders? To what extent, if any, are open borders promoting illegal immigration and drug trafficking? Data about the research topics will be collected in a numeric way from the specified databases and then analyzed to see if there is a correlation between the variables and to accept or reject each null hypothesis. Comment by Gabriele Suboch: redundent Comment by Gabriele Suboch: You already stated that

The research aims to determine if illegal immigration, drug smuggling, and open borders are connectedcorrelated. The case study approach is the best option for the investigation because it collects a variety of perspectives, in contrast to the singular view obtained from an individual respondent in surveys or interviews. This approach allows for a more comprehensive understanding of the topic and lessens the likelihood of bias. The enormous data from numerous databases guarantee correctness and representativeness, ensuring internal and external validity. The quantitative research approach ensures that the study’s aim is deducible from the problem statement and that the research questions contribute to answering the study’s overarching aim (Ratelle et al., 2019). Alignment is crucial to ensure the research study is well-designed and founded on sound reasoning.

The researcher will use a systematic sampling method to select files containing data on drug trafficking and illegal immigration in those specific states such as California, Texas, New Mexico, and Arizona. The researcher will also draw data for the study from publicly available sources like CBP and DHS databases and other scholarly works. The data sourced from the organization databased analyzed to get insight. Kibuacha (2022) suggesteds that if the target population is considerably small, it is possible to sample the entire population to acquire an accurate picture and significantly lessen the uncertainty involved. This strategy will also remove the potential for bias in sample selection, which is a problem with many studies that use random samples. Before data collection begins, approval from the IRB is required. The researcher will use the SPSS software to perform the statistical data analysis. To confirm or refute the existence of a correlation between the dependent and independent variables, an analysis of variance (ANOVA) will be performed. The p-value will provide the basis for the researcher to decide whether accept or reject the null hypothesis. Comment by Gabriele Suboch: What files are you talking about?

Strategy for Condensing a Vast Study Domain

Score	Evaluation Criteria
Total score 100%	Meets all the criteria necessary for an A+ grade. Well formatted and instructions sufficiently followed. Well punctuated and grammar checked.
Above 90%	Ensures that all sections have been covered well, correct grammar, proofreads the work, answers all parts comprehensively, attentive to passive and active voice, follows professor’s classwork materials, easy to read, well punctuated, correctness, plagiarism-free
Above 75%	Meets most of the sections but has not checked for plagiarism. Partially meets the professor’s instructions, follows professor’s classwork materials, easy to read, well punctuated, correctness
Above 60%	Has not checked for plagiarism and has not proofread the project well. Out of context, can be cited for plagiarism and grammar mistakes and not correctly punctuated, fails to adhere to the professor’s classwork materials, easy to read, well punctuated, correctness
Above 45%	Instructions are not well articulated. Has plenty of grammar mistakes and does not meet the quality standards needed. Needs to be revised. Not well punctuated
Less than 40%	Poor quality work that requires work that requires to be revised entirely. Does not meet appropriate quality standards and cannot be submitted as it is to the professor for marking. Definition of a failed grade
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