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Jessie Ball duPont Library

Varieties of Research Experience

What kind of research are you doing?

Research proceeds differently according to discipline, type of resource, how you plan to use the resource, and how you plan to present the resource. It's important to use the right tool for the right job. Not sure about which tool(s) to use? Clarify your research needs and journey here.

The “Right” Way for the Right Discipline

Not every discipline conducts research the same way. This page offers the general step-by-step procedures in three major research methods. 

Experimental Sciences: biochemistry, biology, chemistry, engineering, geology, medical fields, physics, astronomy, mathematics, computer science

 

Social Sciences: psychology, sociology, anthropology, archaeology, cultural studies (by language), religious studies, economics, politics, women’s and gender studies, international and global studies, education
 
Humanities: English (literature), history, philosophy, classics, theology, art, music, theatre, dance, film studies, rhetoric

Humanities

Steps
•“Reading” the primary source (author, philosopher, historical account, theological treatise, artistic production)
•Forming an opinion
•Then, reviewing the secondary literature (i.e., What has been said before?)
•How can you enter the stream of conversation/criticism?
•How good is your reasoning?
Write-up and Publication•
Common Issue: Students are often first taught how to research using the humanities model. Other disciplines do research in a different order.

Social Science

Steps
Literature Review: What has been done before?
•Forming a Research Claim
•Choosing Methodology
Collecting Data (Quantitative/Qualitative)
Analyzing Data (Statistical/Categorical)
Findings and Interpretations (i.e., How does your research apply to people)
Write-up and Publication

Experimental Science

Steps
Literature Review: What has been done before?
•Forming a Testable Hypothesis
•Creating the Experiment: controlling the environment
Collecting Data (Quantitative)
Analyzing Data (Mathematical/Statistical)
Validating Data – Demonstrable, Generalizable, Repeatable
Write-up and Publication
•Hidden Step: Others recreating experiments to ensure validity