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 audiotranscript

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

CV

Other resources

Free short guide to using MTurk for social science research

Spring 2020
Statistical Methodssyllabus

Fall 2019
Statistical Methodssyllabus
The Gig Economysyllabusreading list

Spring 2019
Statistical Methodssyllabus
Work Motivationsyllabus

Fall 2018:
Statistical Methodssyllabus
The Gig Economysyllabus – reading list

Spring 2018:
Research Methodssyllabus
The Gig Economysyllabusreading list

Fall 2017
Statistical Methodssyllabus
Research Methodssyllabus