Research Methods Lecture 1
Introduction to Research Methods in Animal Science
Instructor Information
- Instructor Name: Arturo
- Affiliation: Animal Science Department
- Research Focus: Seminal plasma priming in ewes, its effect on the female microbiome and embryo health.
Student Contributions
- Karimen: Research on croutless urine supplementation, effects on growth in growing labs, and wool characteristics, focusing on the CXCR4 and CXCL12 hormone receptor and ligand pathway.
- Elora: Masters in Food Science, research on characterizing pressing of Xanthocerra sorbifolium as a potential cooking oil replacement.
- Liz: Research on Q4 cells' effects on early gestation and metabolism in ewes, under Dr. Craig Gifford.
- Quina: Research focused on Interferon Tau, working with Dr. Ashley and Dr. Craig Gifford.
- Toby: Working with Dr. Tau on rumen microbials, originally from Nigeria.
Class Overview
- Class Title: Research Method
- Goals: Provide a comprehensive understanding of planning, designing, analyzing, and publishing experiments.
- Main Focus: Importance of data analysis in drawing valid conclusions from research.
Course Content Structure
Planning and Experiment Design
- Stages of Research:
- Planning
- Designing a research study
- Analyzing data
- Publishing findings
- Key considerations for strong conclusions:
- Ensuring the conclusions reflect the truth with a degree of confidence.
- Student Involvement:
- Typically, master's students engage more in execution than planning of studies.
- Students will learn through hands-on experience under the guidance of faculty.
Historical Context of the Course
- Previous Curriculum:
- Focused on manual statistical analysis due to limited software access.
- Modern Context:
- Introduction of various software: SAS, SPSS, R, Excel.
- Primary Software Used: SAS, particularly in animal sciences.
Statistical Analysis and Tools
Software and Tools for Statistical Analysis
- SAS: Traditional tool in animal science research.
- SPSS: Commonly used in social sciences.
- R: Another option for statistical analysis.
- Excel: Used primarily for basic calculations, such as standard deviations and slopes.
Core Topics in Statistical Analysis
- Experimental Design Types:
- Complete Randomized Design
- Randomized Complete Block Design
- Split Block Design
- Repeated Measures Design
- Latin Square Design
- Crossover Design
Mixed Models Approach
- Emphasis on using mixed models for complex analyses.
- Use of PROC MIXED in SAS for analysis.
Manuscript Preparation
- Components of a Manuscript:
- Structure and requirements for each section.
- Grant Proposals:
- Importance of writing proposals based on current research topics to enhance understanding and expertise.
Challenges in Graduate Research
- Perception of Writing:
- Many students underestimate the importance of writing skills until they enter the workforce.
- Communication:
- Essential for producing scientific papers and securing funding.
- Continuous writing required in academia for publishing research.
Developing Research Ideas and Questions
Factors Contributing to Research Selection
- Curiosity:
- Drives the identification of gaps in knowledge that spark research questions.
- Problem Identification:
- Importance of detecting unaddressed issues within a field.
- Example noted: Research on crude glycerin as an energy source for ruminants despite existing data on concentrates for cattle.
Steps for Selecting a Research Program
- Identify a gap in existing knowledge in your field.
- Ask pertinent questions regarding the relevance and novelty of the proposed research.
- Assess potential impacts and further contributions to the field based on research results.
Example Case Study
- Crude Glycerin Research:
- Byproduct from biodiesel industry, potential energy source for ruminants.
- Investigating its reproductive effects on sheep.
- Aim: Fill knowledge gaps regarding alternative energy sources in sheep diets, specifically in foraging contexts compared to conventional concentrates.
Final Considerations in Research
- Evaluating Risks:
- Contemplation on the feasibility and relevance of research topics.
- Knowing your Field:
- Essential for recognizing gaps that require further exploration.
Conclusion and Practical Application
Preparation for First Class Task:
- Students will formulate a clear and concise research problem based on discussion.
Engagement in the Learning Process:
- Importance of consistent participation and effort to ensure understanding of material.
Next Steps:
- Transition into the discussion of philosophical approaches to research in future classes.