Dr. Brawley Newlin is an Assistant Professor of Management at Gettysburg College in Gettysburg, PA. Her Ph.D. is in Industrial-Organizational (I-O) Psychology.
Her research focuses on unique work populations, like family microbusinesses and gig workers. She also conducts research on statistical and methodological issues, like common method variance and heteroscedasticity.
Email: abrawley@gettysburg.edu
Office: Glatfelter 412 Office hours and meetings via Zoom
Twitter: @IOAliceB
Updates and recent work
Signed the Open letter and principles for ethical research on the gig economy
Brawley Newlin (in press): More specific than “small”: Identifying key factors to account for the heterogeneity in stress findings among small businesses
Gateway Industrial-Organizational Psychologists talk: The digital gig economy: What’s new, what do we know, and so what?
Society for Industrial-Organizational Psychology (SIOP) Newsbrief article on my Gig Economy (OMS 405) course
Brawley Newlin & Pury (2020): All of the above?: An examination of overlapping organizational climates (also available here)
Interview about the gig economy with On Target podcast for The Gettysburgian – audio – transcript
Garst, Gagnon, & Brawley (2019): Efficacy of online training for improving camp staff competency
Rosopa, Brawley, Atkinson, & Robertson (2018): On the conditional and unconditional Type I error rates and power of tests in linear models with heteroscedastic errors
Faculty spotlight in The Gettysburgian
Brawley (2017): The big, gig picture: We can’t assume the same constructs matter
Brawley & Pury (2017): Little things that count: A call for organizational research on microbusinesses
More on Google Scholar
Other resources
Free short guide to using MTurk for social science research
Spring 2020
Statistical Methods – syllabus
Fall 2019
Statistical Methods – syllabus
The Gig Economy – syllabus – reading list
Spring 2019
Statistical Methods – syllabus
Work Motivation – syllabus
Fall 2018:
Statistical Methods – syllabus
The Gig Economy – syllabus – reading list
Spring 2018:
Research Methods – syllabus
The Gig Economy – syllabus – reading list
Fall 2017
Statistical Methods – syllabus
Research Methods – syllabus
