Prospective Lab Members:

Are you interested in researching careers, how people fit with their jobs, people’s career interests, recruitment strategies, and/or advancements in research methods and statistics? Consider applying to the UNR Management Ph.D. program to work with Dr. Hanna in the ARC lab. The Application committee will review all applications each cycle and evaluate overall academic potential, programmatic fit, and mentor/research fit to determine program acceptance.

For more information on applying to the UNR Business Administration (Management) Ph.D. program, visit the UNR Business Management webpage below.



Current Lab Members:


Suggested Reading List: Currently Pondering!

Australian Business Dean’s Council (ABDC) list of journals and rankings. This link will take you to the ABDC journal quality list, where you can find a huge list of potential journal options.


APA Formatting and Style Guide. This link will allow you to brush up on APA style for in-text citations, references, table and figure formatting, sub-headings, and more with APA’s current 7th edition.


Career Exploration Resources

Discover more about your own career interests and how those interests match to different occupations! This is a free resource available through the Department of Labor’s Occupational Information Network (O*NET).

My Next Move is a great O*NET resource for job seekers and students to find career options based on key words, industry, bright outlook jobs, or interest match.

Statistics and R Programming Resources

R (statistical programming language) and RStudio (GUI) are free, open-source software tools used for data analysis, statistical computing, and graphics.

Below, you will find an excellent open-source resource for learning to program in R from the ground up. It contains a ton of useful information, as well as a table of contents so you can go straight to a certain section as needed. This particular resource is also funny and easy to read. Enjoy!

Here is an awesome resource from Data Camp with tutorials on many R topics.