Preview Of The Literature Research Problem

Preview Of The Literature Research Problem

Students are expected to study all assigned chapters and materials located in Module 2: Lecture Materials & Resources to complete the following assignment: Draft 1 of Research Proposal Form (Sections 2-10). Download and complete the Assignment 2 Form. Submission instructions specify submitting items 2-10 of the Research Proposal Form. This assignment is crucial as everything else hinges on its correctness; students will receive feedback and must revise accordingly. The writing must be clear and concise, with proper grammar, punctuation, and spelling.

Paper For Above instruction

The process of developing a comprehensive research proposal begins with a thorough review of relevant literature, which informs the research problem and guides the design of the study. A well-defined research problem emerges from identifying gaps or inconsistencies within existing studies, which necessitates further investigation. In this context, selecting a particular setting — such as a specific organization — helps ground the research and clarifies the scope and applicability of findings.

For example, a study examining employee engagement in a manufacturing firm might specify the organization’s name and location, such as "ABC Manufacturing, located in Springfield." Detailing the organization's characteristics, including size, industry focus, and organizational structure, helps contextualize the research. Key personnel involved in the study could include managers, team leaders, or human resources personnel, who may serve as stakeholders or sources of data.

The literature review should identify a problem previously documented but inadequately addressed, which guides the development of specific research questions. For instance, if prior research indicates low employee motivation but lacks exploration of specific intervention strategies, the current study might aim to examine the impact of a new motivation program. Subjects are selected based on inclusion criteria relevant to the research problem, such as employees within certain departments or roles.

Guiding questions should be clear and focused, for example, "How does participation in a motivation program affect employee engagement?" The study must specify whether it explores group differences—such as between departments—or relationships among variables, like motivation levels and productivity. Variables should be operationally defined with appropriate scales of measurement, such as Likert scales for attitudes or nominal categories for group membership.

The hypothesis should state an expected relationship, such as "Participation in the motivation program will positively influence employee engagement." The purpose of the study is to investigate this relationship and inform organizational practices.

Methodologically, the design could be experimental, correlational, or descriptive, depending on the research questions. Instrumentation involves selecting or developing measures for dependent variables, such as surveys or performance metrics, with considerations for validity and reliability. Statistical procedures might include t-tests, ANOVA, or regression analysis, contingent upon data type and research design. Clear definitions of terms ensure clarity and replicability of the study.

A proposal summary consolidates the key aspects of the research plan, emphasizing the significance and anticipated contribution of the study. Lastly, a comprehensive list of references provides scholarly backing, citing relevant academic sources that inform and support the research.

References

• Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
• Bryman, A. (2016). Social research methods. Oxford University Press.
• Goodman, L. A., & Blum, T. C. (1996). A guide to research design and analysis. Sage Publications.
• Neuman, W. L. (2014). Social research methods: Qualitative and quantitative approaches. Pearson.
• Robson, C. (2011). Real world research. Wiley.
• Salkind, N. J. (2010). Statistics for people who (think they) hate statistics. Sage.
• Flick, U. (2018). An introduction to qualitative research. Sage Publications.
• Maxwell, J. A. (2012). Qualitative research design: An interactive approach. Sage Publications.
• Ritchie, J., Lewis, J., Nicholls, C. M., & Ormston, R. (2013). Qualitative research practice. Sage.
• Yin, R. K. (2018). Case study research and applications: Design and methods. Sage publications.