I need help adding the approaches I will use for your project. I need help adding one sentence after each paragraph to denote my data collection, data analysis, and method selection, research design selection. These sentences will support your use of these approaches. I cannot have any references in the first or last sentence of a paragraph but do need two references per paragraph.

A structured framework tailored to the Applied Improvement Project Model (AIPM) enhances the depth and focus of investigations into student engagement and retention, building upon the valuable insights gained from earlier studies like Tight (2020). Frameworks such as Springer and Aragon's (2020) cyclical model or Springer's (2014) iterative action research process resonate with the AIPM's emphasis on continuous improvement. These frameworks provide a roadmap for ongoing evaluation and refinement, ensuring that interventions remain responsive to the evolving needs of students. In the initial stages of the AIPM, Spaulding and Falco's (2013) problem-focused framework can also be instrumental in diagnosing the root causes of low engagement or retention rates. By providing specific prompts and strategies for each phase of the investigation, these frameworks enable a comprehensive and targeted exploration of the multi-faceted factors influencing student success. Tinto's student integration model (1975) serves as the theoretical lens through which the intervention to improve staff engagement will be viewed, recognizing staff 'engagement's pivotal role in student success. Research has shown a gap between engaged staff members and higher job satisfaction, improving student outcomes as they are likelier to go above and beyond their roles (Eldridge et al., 2021). Tinto's model emphasized the significant influence of a student's academic and social integration within the institution on their retention (Tinto, 1975). While not explicitly addressing staff engagement, the model implies that a supportive and engaged staff is essential for creating an environment conducive to student success. In educational settings, engaged staff can foster positive interactions with students, provide effective academic support, and contribute to a vibrant campus community, thus aligning with Tinto's (1975) emphasis on academic and social integration. Research supports the positive impact of staff engagement on student success and retention. For instance, Kim and Sax (2017) found that engaged advisors are more likely to build rapport with students and provide them with the guidance and support they need to overcome academic challenges. The literature reveals a multi-faceted approach to enhancing student success and retention in community colleges, integrating academic support services and predictive analytics as a promising strategy. Research by Smith and Jones (2020) found that tutoring programs significantly increased student persistence and graduation rates, highlighting the importance of comprehensive academic support in empowering students and fostering their academic achievement. Similarly, Fong et al. (2017) demonstrated the positive impact of mentoring on student engagement and academic performance. The approach aligns with the growing body of research emphasizing the importance of data-driven decision-making and individualized support in optimizing student outcomes (Garcia et al., 2021). The research has further solidified the understanding that a comprehensive approach integrating academic support services and predictive analytics can create a more supportive and responsive learning environment for community college students, potentially leading to increased retention rates.