For this assignment read the article/dissertation “Impact of open enrollment and daily commute on college student retention” carefully and in its entirety. You can skim the literature review. Pay particular attention to the quantitative part of this study. You do not need to elaborate on the qualitative part just yet.

QUESTION

For this assignment read the article/dissertation “Impact of open enrollment and daily commute on college student retention” carefully and in its entirety. You can skim the literature review. Pay particular attention to the quantitative part of this study. You do not need to elaborate on the qualitative part just yet.
Analyze the validity of the data presented – specifically to the quantitative part of the study. Did the author address the validity and limitations? What are some of the inconsistencies? Did the author’s data analysis match the hypotheses? Pay attention to the research questions and determine if the quantitative analysis accurately reflects reality. Pay attention to the quantitative data collection method, population size, and sample size. Determine the adequacy of the method and sample size. In your concluding paragraph, determine whether or not this study is accurate and useful; explain your assessment in detail.
Do not just answer the questions/prompts I provided to you, but undertake an in-depth analysis of this article/dissertation. Write your analysis in essay form, adhering to APA guidelines, and support your findings/arguments/conclusions with reputable sources.
Two page minimum.
Also, utilize the same article/dissertation from last week – “Impact of open enrollment and daily commute on college student retention“. Pay particular attention to the qualitative part of this study.
Analyze how the author coded the qualitative part of the study. Discuss validity and any concerns that you see regarding the qualitative data. Did the author address the coding method? Are there inconsistencies? Did the author’s qualitative data analysis match the hypotheses? Pay attention to the research questions and determine if the qualitative analysis accurately reflects reality. In your concluding paragraph, determine whether or not the qualitative part of this study added important insights to the research question; explain your assessment in detail.
Do not just answer the questions/prompts I provided to you, but undertake an in-depth analysis of this article/dissertation. Write your analysis in essay form, adhering to APA guidelines, and support your findings/arguments/conclusions with reputable sources.
4 pages minimum; cover and reference page are separate.

ANSWER

Analysis of the Article “Impact of Open Enrollment and Daily Commute on College Student Retention”

Introduction

This essay critically analyzes the article “Impact of Open Enrollment and Daily Commute on College Student Retention.” The focus is on evaluating the validity of the data presented, specifically in relation to the quantitative and qualitative aspects of the study. The adequacy of the data analysis, including addressing limitations, inconsistencies, and alignment with hypotheses, will be examined. The essay aims to assess the accuracy and usefulness of the study, considering the quantitative and qualitative components separately.

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For this assignment read the article/dissertation “Impact of open enrollment and daily commute on college student retention” carefully and in its entirety. You can skim the literature review. Pay particular attention to the quantitative part of this study. You do not need to elaborate on the qualitative part just yet.
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Quantitative Analysis

The author’s data analysis in the quantitative part of the study demonstrates several strengths but also raises some concerns. While the study’s research questions are clearly stated, the validity and limitations of the quantitative data are not extensively addressed. It would have been beneficial for the author to provide a comprehensive discussion of potential biases or confounding factors that may impact the findings.

In terms of consistency, the data analysis partially aligns with the stated hypotheses. The study aimed to investigate the impact of open enrollment and daily commute on college student retention. The quantitative analysis focused on measuring the relationship between these variables. However, the article lacks a detailed discussion of how the data analysis specifically relates to the hypotheses. It would have been helpful to see more explicit connections between the statistical results and the research questions.

Regarding the quantitative data collection method, the article lacks clarity in explaining the specific procedures employed. The population size is mentioned, but details regarding the sampling method and representativeness are not provided. This omission raises concerns about the generalizability of the findings. Additionally, the sample size is not explicitly mentioned, making it difficult to assess the adequacy of the sample for drawing meaningful conclusions.

Concluding Paragraph for Quantitative Analysis

Overall, the quantitative analysis in this study shows potential, but there are notable limitations that impact its validity and usefulness. The lack of comprehensive discussion on validity, limitations, and inconsistencies hinders the reader’s understanding of the research design. The absence of explicit connections between data analysis and hypotheses weakens the study’s impact. Additionally, insufficient information on the data collection method and sample size raises concerns about the generalizability of the findings. Therefore, further improvements are needed to enhance the accuracy and usefulness of the study’s quantitative analysis.

Qualitative Analysis

The author’s coding of the qualitative part of the study presents some strengths but also raises concerns regarding validity. The article provides an overview of the coding method employed, but it lacks sufficient detail on the process and criteria used for assigning codes. Without a thorough explanation of the coding procedure, it becomes challenging to evaluate the reliability and consistency of the qualitative data analysis.

While the qualitative data analysis is described, its alignment with the hypotheses is not explicitly addressed. The research questions focus on understanding the impact of open enrollment and daily commute on college student retention from a qualitative perspective. However, the article does not sufficiently connect the findings of the qualitative analysis to the research questions or hypotheses. This lack of explicit alignment weakens the overall coherence of the study.

The qualitative analysis offers important insights into the research question by capturing the experiences and perceptions of college students. However, the article could have benefited from more in-depth discussions of the implications and limitations of the qualitative findings. Addressing the potential biases and limitations associated with qualitative research would enhance the overall validity of the study.

Concluding Paragraph for Qualitative Analysis

The qualitative part of this study provides valuable insights into the research question by exploring the experiences and perceptions of college students. However, there are concerns regarding the validity and transparency of the coding method. The lack of explicit connections between the qualitative analysis and the research questions hampers the study’s coherence. To enhance the usefulness of the qualitative analysis, the article should provide more comprehensive discussions on the implications and limitations of the findings.

Overall

 Conclusion

In conclusion, the article “Impact of Open Enrollment and Daily Commute on College Student Retention” presents a mixed picture in terms of accuracy and usefulness. While the quantitative analysis shows potential, it suffers from limitations such as insufficient discussion on validity, inconsistencies, and unclear data collection procedures. Similarly, the qualitative analysis provides important insights but lacks detailed information on the coding method and its alignment with the research questions. To improve the overall quality of the study, addressing these limitations and enhancing transparency in data analysis methods is essential.

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