Metascience & Marketing Lab
Metascience: (n) The scientific study of science itself.
Lab mission: M&M Lab seeks to improve research methods used by marketing researchers and other social scientists. The lab also seeks to improve our understanding of how people engage with consumer marketplaces.
Principal investigator: Dr. Aaron Charlton
Current Project: Meta-analysis of a statistical method commonly used in social science research
Task: Students locate uses of a specific type of statistical test within a designated set of articles, and document details about how the statistical test is reported. This project is best-suited to students who have some ability to read scientific literature, and have some understanding of statistical concepts, such as confidence intervals, p-values, and regression.
Learning outcome: Students improve their ability to read and understand scientific literature, including advanced statistical language and concepts.
Who is this for? Undergraduate and graduate students at Illinois State University who are considering eventually working towards a PhD in any field. It is particularly of interest to students who are interested in statistics and research methods (which play a role in most PhD programs).
Benefits of participation. This is not a paid position. The main benefit to lab members is the opportunity to obtain experience in doing scientific research. This experience will prove invaluable if you are to continue on to apply for a PhD program. You can also earn marketing credits. Student lab members may also have the opportunity to work with and get to know other faculty member collaborators in other departments and universities.
How much participation is expected? Students will typically work for 3-7 hours per week, and possibly more if their schedule allows, and they have future graduate school ambitions. Lab members may discontinue participation at any time without negative repercussions.
Note: New lab members must register for CITI and complete "Students Conducting No More than Minimal Risk Research" training.
Examples of actual tasks
Manual coding: This involves systematically scouring academic literature, blogposts, online forums, or social media to catalog and categorize the ways in which people do data analysis.
Literature review: Using tools such as Google Scholar and Business Source Complete to search through academic literature, identifying and cataloging key literature on a specific topic.
More details available upon request. Please contact Dr. Charlton.