Marketing professor @USCMarshall, and visiting scholar @FederalReserve. Researching consumer finances and experiences.
Joined March 2014
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Tenured! I am so grateful for all of the people who led me to today. Too many to name you all, but a special thanks to my amazing advisor Tom Meyvis who forever changed my life (I miss you), my awesome colleague & tenure chair @real_k_diehl, & my great coauthor @EeshaSharma.
Definitely concerning. The silver lining is that this may make researchers think harder. It puts more emphasis on the need for stronger theory (given less data availability). Tenure committees will need to consider productivity expectations as a result of this though.
Interesting new research on the prevalence of p-hacking in A/B testing in e-commerce by my awesome colleague @alexpmil . Check it out!
💡I am happy to announce new research with @KHosanagar. Available below and forthcoming in 𝘐𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩.💡
Link (PDF): alexmiller.phd/research/p-ha…
We study p-hacking, A/B testing, data-driven decision making, and more.
Short thread below👇
How do AI disclosures on social media affect our engagement with content? Check out this thread to learn about our new research. Led by two great USC PhD students - Steve Carney & @ignacioriverosg
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This is a huge win for the folks at @DataColada and an even bigger win for science!
Job market candidates - reframe the purpose of your job talk accordingly! I used to view my talks as people evaluating me and my competency. Once I reframed them as an opportunity to tell people what I've learned through research, my talks improved so much.
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Agreed! Moreover, it's not just that new settings may show different results, but different executions aimed at addressing these behavioral science principles within the same setting can show different results.
"Read about 4 #BehavioralScience principles that #FinTech designers should consider testing in their own context," because the generalizability and application of even highly robust behavioral science principles to a specific context is not trivial.
I'm disappointed to hear this take. We need more people to pre-reg, not less. The sad truth is that there are always ways a researcher can get around a pre-reg, even with more specificity. (1/4)
Reviewers & readers need to individually evaluate the value of any pre-reg in conjuction with the data. But telling people an imperfect pre-reg is worthless isn't going to bring more people on board, & more specificity in pre-reg isn't going to erase failures to replicate. (3/4)
Strongly agree here. I can’t imagine a better editor to be taking over the helm at JCR!
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Really interesting work! I like (and buy) the friction story, but it also makes me wonder whether changing the defaults may have also changed preferences to some extent.
Love this much needed discussion on replications that hits many points I've struggled with in my own papers that conduct "theory-test replications" (end effect: psycnet.apa.org/record/2016-… & scarcity --> intertemporal choice apa.org/pubs/journals/releas…). 1/2
I'm excited about our new paper on replication, with Berkeley Dietvorst, out in the 50th anniversary issue of @JCRNEWS (free access):
academic.oup.com/jcr/article…
We discuss different different ways to integrate replication into scientific practice, focusing on JCR's history.
1/10
One thing I'll add is that greater focus on and acceptance of replication will *hopefully* encourage researchers to only publish work that they have confidence will replicate. Thank you @OlegUrminsky & Berkeley for leading this conversation! 2/2
I'm starting to think about guest speakers for my consumer behavior classes this fall and looking to switch up topics and speakers. Let me know if you have ideas of great guest speakers on consumer behavior related topics in or willing to travel to the LA area.
Great talking with the WSJ about some of the factors explaining why consumers are still mad about prices, despite several signs of a strong economy wsj.com/economy/consumers/gr… via @WSJ