What This Document Is
This document provides comprehensive guidelines for a major data analysis project within a Quantitative Research Methods course (SOC 3155) at the University of Minnesota Twin Cities. It functions as a detailed roadmap for students undertaking empirical research, specifically focusing on applying statistical techniques to real-world data and presenting findings in a standard academic format. It outlines expectations for a research paper encompassing all core elements of a scholarly manuscript.
Why This Document Matters
This resource is essential for students enrolled in quantitative research methods courses, particularly those preparing for a significant research project or paper. It’s most valuable when you’re beginning to formulate your research question, selecting a dataset, and structuring your analysis and report. It’s also helpful for understanding the expectations regarding academic writing style, citation, and the integration of statistical analysis within the broader research process. Students aiming for a strong grade on a substantial, exam-weighting project will find this particularly useful.
Common Limitations or Challenges
This guide does *not* provide specific statistical analyses or interpretations. It won’t offer pre-defined research questions or completed literature reviews. It focuses on the *structure* and *requirements* of the project, not the actual execution of the statistical work or the specific findings of any research. It assumes a foundational understanding of statistical concepts taught within the course.
What This Document Provides
* Detailed specifications for paper length, formatting, and citation style (APA).
* Guidance on selecting appropriate data sources, with recommendations for publicly available datasets.
* A breakdown of the required sections for the research paper (Introduction, Literature Review, Methodology, Analysis, Conclusion).
* Clarification on the expected scope of each section, including page limits.
* Requirements for the type of research expected (empirical, utilizing secondary data).
* Minimum requirements for statistical analysis (significance testing, measures of association).
* Expectations for the content and quality of the literature review, including the use of peer-reviewed sources.
