This course has examined the major quantitative research design methods used in educational leadership and policy research, including descriptive, correlational, quasi-experimental, and experimental designs. This midterm assignment requires you to apply those concepts by developing a concise, defensible quantitative research proposal grounded in an authentic educational administration problem. The purpose of this assignment is to assess your ability to: Identify an appropriate quantitative research design Align research questions, variables, and methods Demonstrate methodological rigor expected at the doctoral level Articulate validity considerations and limitations Write in clear, scholarly, APA-style language This assignment is designed to support future work on a dissertation, capstone, or applied research project. You will develop a quantitative research mini-proposal focused on a leadership, policy, or organizational issue in education (e.g., leadership practices, program effectiveness, staffing, accountability, student outcomes). Your proposal should clearly justify the selection of a quantitative design and demonstrate a strong understanding of quantitative research principles. Requirements 68 pages, not including title page or references APA 7th edition formatting Minimum of 6 scholarly sources (peer-reviewed journals preferred) Use of professional, doctoral-level academic writing Required Sections Problem Statement (11.5 pages) Clearly describe a specific, researchable problem in educational administration Establish the significance of the problem using scholarly literature Explain why the problem warrants quantitative investigation Identify the leadership or policy implications of the problem Purpose Statement and Research Question(s) (1 page) Provide a concise purpose statement aligned to quantitative inquiry Include 13 clearly stated research questions Ensure questions are: Measurable Non-causal unless using an experimental or quasi-experimental design Aligned with the selected design Quantitative Research Design (11.5 pages) Identify the specific quantitative design: Descriptive Correlational Quasi-experimental Experimental Justify why this design is most appropriate Briefly explain why alternative designs are less suitable Demonstrate understanding of the designs strengths and limitations Variables and Measurement (11.5 pages) Identify: Independent variable(s) (if applicable) Dependent variable(s) Provide clear operational definitions Describe how variables will be measured Address reliability and validity of instruments or data sources Sampling and Data Collection (1 page) Describe the target population Explain the sampling strategy Identify data sources (e.g., surveys, administrative data, assessments) Discuss feasibility and ethical considerations Data Analysis Plan (1 page) Identify appropriate statistical analyses Justify why these analyses align with: Research questions Variable types Design selection Mention software (e.g., SPSS, R, Stata) if appropriate Validity, Limitations, and Ethical Considerations (1 page) Discuss threats to: Internal validity External validity Identify study limitations Address ethical considerations, including: Use of human subjects Data confidentiality IRB considerations problem of practice: low parent engagement at Vicksburg High School

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