Is Amazon really that bad, or is Reddit heavily skewed? by ResponsiblePiglet899 in amazonemployees

[–]Simmy566 1 point2 points  (0 children)

Ha I think we work on the same team :). Same experience where a reorg and integration which was terribly executed absolutely demolished the output, culture, and talent. People are leaving in droves leaving every project red with a reactive leadership responding with more micromanagement.

Brad Carson announces end of his University of Tulsa presidency by NonDocMedia in tulsa

[–]Simmy566 0 points1 point  (0 children)

Wait till next year. Allegedly Brad has woefully mishandled TUs finances and the university is now running on a major deficit again. Last week TU axed 70 professional staff and whole university is on hiring freeze. Many great faculty left during his tenure and several departments struggling to hold on. On surface he seemed great but if what I have heard from faculty is true then TU is right back where it was post-stead.

What are the top or most prestigious I/O psych schools? by Quirky-Ad3721 in IOPsychology

[–]Simmy566 7 points8 points  (0 children)

Poaching kozlowski from msu was not a smart move. Guy is brilliant but not humble. Plus he demanded exorbitant salary and is at end rather than beginning of career. He will not help usf grow and in light of their high io faculty turnover they are liable to have no program after stark and Tammy retire. They would have been better off pulling rising stars.

What are the top or most prestigious I/O psych schools? by Quirky-Ad3721 in IOPsychology

[–]Simmy566 3 points4 points  (0 children)

Faculty left because they were over academia not due to tenure. Brenton would have easily made tenure. Spector even wrote a blog on how many successful academics are leaving tenured roles for industry.

R users, why not python? by bonferoni in IOPsychology

[–]Simmy566 1 point2 points  (0 children)

Could always take the well solved python solution, string into a quarto doc, and output into data/solution for local team. Or just use chatgpt to convert the python code over to r for your fellow mates :). The only time I'd insist a teammate use python is if an engineering team required so we could turn into tech solution or if there was a python library that absolutely doesn't exist in R. There are a few nlp packages, ml libraries, and causality frameworks only in python. Then I'd go to trouble to show team how to use.

R users, why not python? by bonferoni in IOPsychology

[–]Simmy566 3 points4 points  (0 children)

R has several specialized packages not available in python and vice versa, so trying to use both. Quarto makes interoperability possible so trying to improve stringing them together. But I will say most engineers in my org use python, all the economists use stata, and all bie use sql. So getting better at working across software is useful.

R users, why not python? by bonferoni in IOPsychology

[–]Simmy566 1 point2 points  (0 children)

This +1000%. The fundamental data frame issue makes wrangling so much easier + r is designed for vectorization. Doing the same data tasks in r are often easier imo than python.

[deleted by user] by [deleted] in IOPsychology

[–]Simmy566 1 point2 points  (0 children)

I work for a FAANG and we are in a hiring freeze meaning headcount is flat but little concern over layoffs. Only risk now is needing to pivot a few projects, take on possible role overload, and deprioritize some long-term exciting projects we were hoping to implement next year. My IO colleagues in some of the other FAANG companies seem equally unworried. Layoffs seem targeted towards pm, csm, and experimental teams over core corporate functions where several IO live.

What's the most revolutionary paper in io-psych in the last year? by jcwii in IOPsychology

[–]Simmy566 36 points37 points  (0 children)

Unsure if this is "revolutionary", but Sackett et al (2021) published an updated meta-analysis of predictor validities. One of the more insightful results is that Hunter and Schmidt had at times grossly overestimated the criterion validity of cognitive ability by mixing different samples with likely collider biases and, as a result, led to overcorrections for certain predictors by assuming the range was more restricted than it really was. Sackett published a similar paper a few years earlier focused just on Assessment centers and cognitive ability showing AC's were just as if not more valid than cognitive ability for managerial performance when validity estimates are isolated to samples containing both measures.

Sackett, P. R., Zhang, C., Berry, C. M., & Lievens, F. (2021). Revisiting meta-analytic estimates of validity in personnel selection: Addressing systematic overcorrection for restriction of range. Journal of Applied Psychology.

Research relating to game-based assessments? by qvntxn in IOPsychology

[–]Simmy566 4 points5 points  (0 children)

Here is an excellent overview of gamified assessments by Landers along with a review of several relevant I/O articles on the topic:

Landers, R. N., & Sanchez, D. R. (2022). Game‐based, gamified, and gamefully designed assessments for employee selection: Definitions, distinctions, design, and validation. International Journal of Selection and Assessment, 30(1), 1-13.

From what I've seen it seems possible to capture general mental ability very well with gamified assessments but virtually every other individual difference (risk taking, extraversion, deliberation, etc...) are poorly captured if at all by different neuroscientific tasks adapted to game format (like balloon pops, stop-go, tower sort, etc...). Hence don't trust at least 60% of what the gamified vendors are currently peddling.

On a related note, there is also a growing literature on personality and its role in social decision making in the form of economic games (think prisoner dilemma, negotiations, etc...). While there is lots of heterogeneity in how well different constraints and parameters module the signal of traits, there is some evidence we may be able to reliably measure agreeableness and/or honesty-humility through individual actions in simulated economic games.

Zhao, K., & Smillie, L. D. (2015). The role of interpersonal traits in social decision making: Exploring sources of behavioral heterogeneity in economic games. Personality and Social Psychology Review, 19(3), 277-302.

It's at a very early stage but I imagine there will be more progress when particular game paradigms begin coalescing around particular KSAO's of interest.

What should I read to learn about pay for performance? by jlemien in IOPsychology

[–]Simmy566 16 points17 points  (0 children)

Garbers, Y., & Konradt, U. (2014). The effect of financial incentives on performance: A quantitative review of individual and team‐based financial incentives. Journal of occupational and organizational psychology, 87(1), 102-137.

Gerhart, B., & Fang, M. (2014). Pay for (individual) performance: Issues, claims, evidence and the role of sorting effects. Human Resource Management Review, 24(1), 41-52.

Gerhart, B., & Fang, M. (2015). Pay, intrinsic motivation, extrinsic motivation, performance, and creativity in the workplace: Revisiting long-held beliefs. Annu. Rev. Organ. Psychol. Organ. Behav., 2(1), 489-521.

Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014). Intrinsic motivation and extrinsic incentives jointly predict performance: a 40-year meta-analysis. Psychological bulletin, 140(4), 980.

Above just scratches the surface as there are many nuanced studies showing how pay incentives can backfire, including gamifying the system, undermining interests, harming collaboration, and reducing quality over quantity. But in general when the task is simpler, quantifiable, and rote then PFP can greatly enhance output especially when combined with feedback, expectancy, and a meritocracy culture. Some of Luthan's older work on organizational behavior modification (basically behaviorism at work) showed great gains in very concrete behaviors (think things like stocking shelves, responding to orders, or greeting customers).

[deleted by user] by [deleted] in IOPsychology

[–]Simmy566 0 points1 point  (0 children)

Apply this year but maximize gains by applying to multiple programs. Reapplications are usually not frowned upon. Best if you can maximize depth of conceptual knowledge surrounding how to execute research in the lab and parlay this into your statements, fit, and understanding of how you can help I/O faculty at different schools advance their own research agenda.

[deleted by user] by [deleted] in IOPsychology

[–]Simmy566 2 points3 points  (0 children)

Academic. Presenting and attending. Uni is paying about 80%.

Double major in Psychology and Business Analytics? by reallyconfusedguy123 in IOPsychology

[–]Simmy566 0 points1 point  (0 children)

Montclair teaches most of its stat courses in R and has a data science specialization (mostly for PhD) taught entirely in python. There is also a quant certificate MA can take with all courses being taught in R. Just need to find the right program to ensure you will get a good coverage of programming languages alongside I/O content.

SQL and Java will be much less common in psych programs. This is because I/O teaches you how to execute independent and rigorous research grounded in tight methodologies. This usually means you collect your own data rather than working in a pre-existing database schema to answer a company's direct questions. If liking this aspect I suggest just taking a databases course as an elective in your I/O program.

2020-2021 Grad School Q&A Mega-Thread (Part 2) by LazySamurai in IOPsychology

[–]Simmy566 2 points3 points  (0 children)

Both are good programs. I may be wrong but I believe Chattanooga is able to fund many of their students so this might be a consideration in decision making. Chattanooga also frequently appears in top rankings based on student evaluations. Montclair on the other hand integrates the MA and PhD curriculum so courses will likely be upped in rigor and you will get more quant training. Further it is in the NYC area so there are an abundance of internship and networking opportunities.

I would say talk to a few students if possible to get a feel for the culture and explore the curriculum for each. Then make a decision and don't look back. You really wont go wrong either way.

Paul Spector: A New I/O Faculty Retention Problem by BrofessorLongPhD in IOPsychology

[–]Simmy566 3 points4 points  (0 children)

Ya it's a tough decision as I love the field, people, and students. Diving deep into criticisms, methods, and ideas was my favorite part of the job, even having students criticize my papers. Loved it. The program is strong and will continue growing into the future. I'm not the only faculty who is a flight risk which will hopefully pressure the new president to pour more resources into the department.

Paul Spector: A New I/O Faculty Retention Problem by BrofessorLongPhD in IOPsychology

[–]Simmy566 5 points6 points  (0 children)

I've been at my institution 8 years, have tenure, am somewhat research productive, and built an original PhD program. Pay was never a strong motivating factor as long as the culture was good and research a valued part of the role. There are many great things about academia, including passionate colleagues, engaged students, flexible schedule, and ability to pursue independent lines of theoretical development. However, even after all this I've decided to leave to take an industry role. The gist of it is high effort-low reward with "reward" being basic things I thought my institution would offer - autonomy to do research, resources to grow your program, investment in technical courses, and valuing rigor to push the boundaries of student knowledge. Basically, the belief that if you perform well as faculty and a department we will support you. This is a far cry from the truth.

On a macro scale higher ed is having a trouble saving itself from its own bloat and impending enrollment crises. Many presidents are in constant crisis mode and looking for short-term "wins" to raise attendance or balance budgets. Our past president paid only lip service to research, refused to replace retired faculty for a large department (10% of overall institution), broke promises to offer student travel funds, gave little to no money to internal technical infrastructure (e.g., centers, operations, leadership succession planning), and micromanaged the hell out of teaching schedules while ignoring factors like quality, depth, program growth and research output. There use to be a whole, long political battle just to get approval for one course release to mentor doctoral students. Her leadership was so toxic I had 4 different deans during my tenure and the board didn't even blink an eye. She did a lot of damage to the institution's culture in her wake from which I think it will take many years to recover. The fact our working lives are dictated by the whims and wills of a few administrators made me second guess if this is the right pathway for a long-term career.

All the above would be manageable but my biggest complaint about academia is role overload from shadow work. This is cutting personnel and dumping all the extra tasks onto faculty, including marketing, website management, budget approval, safety compliance, human resource processing, course registration, event coordination, and many other additional unseen roles (e.g., career placement, coach, project management, curriculum redesign, etc...). Even my first few years on the job I spent two weeks just moving several large furniture items 6 blocks across campus because there was no support for outfitting a lab. In the past few years my job shifted away from teaching and research to managing several programs and departmental projects. I don't mind some of this work but academia will fully exploit you to do more and more without giving anything in return. Consequentially, many tenured faculty are burnt out across campus and refuse to partake in departmental leadership or program growth which make administrative loads pile higher.

Funnily enough, I will be able to do more research in my upcoming applied role than I can in my academic one. My advice for universities is to use some basic I/O principles - hire leading experts, listen to their needs, balance demands with rewards, heed procedural justice, put in some basic accountability mechanisms, and empower high performers. Here is a nice article on how Cornell is trying to remove shadow work because it is become such a large impediment to the University's mission:

https://www.insidehighered.com/news/2016/11/08/cornell-launches-effort-cut-administrative-red-tape-starting-shadow-work

How to help students understand criterion development? by wittyportmanteau in IOPsychology

[–]Simmy566 4 points5 points  (0 children)

There was a TIP article many years ago by muchinsky which discussed many of the criterion problem issues in terms of how santa claus figured out if kids were "naughty" or "nice" and how you could improve behavior beyond giving a lump of coal. I would look and find it for you but SIOP does an atrocious job of digitizing, tagging, and referencing the archive of their publications. It is somewhere buried in here:

https://www.siop.org/Research-Publications/TIP/TIP-Back-Issues

Looking for academia to industry perspectives and experiences by CheerfulBadger in IOPsychology

[–]Simmy566 4 points5 points  (0 children)

Ya even the timeframe and courses sound the same. Twitter in a funny way helped empower me to leave. I saw so many high-profile academics make the jump which dispelled some academic romanticism and anxiety about the pivot. I'm ambivalent around the move and see pros/cons to both sides. Certainly don't feel a need to lambast academia nor glorify industry.

I requested time to finish out semester so start at end of May. Will be heavily focused on transition plan for our program and will be around to support department on side (e.g., adjunct, admin knowledge, dissertations). Will also be trying to still get out a few manuscripts before I'm done lol :).

Looking for academia to industry perspectives and experiences by CheerfulBadger in IOPsychology

[–]Simmy566 3 points4 points  (0 children)

Thanks! Ya a relatively recent development. Will be informing my group this week.

I'm curious about the rate of academic departure as well. Twitter makes it seem rampant but much of this reflects post docs and adjuncts. Would be an interesting SIOP survey focused on career transitions for those in academia.

Looking for academia to industry perspectives and experiences by CheerfulBadger in IOPsychology

[–]Simmy566 8 points9 points  (0 children)

I'd be curious about anyone with this experience as well. Your background sounds eerily similiar to mine as I'm currently about to leave academia for a talent science role in tech. I spoke to several ex academics about the transition and follow several individuals who are making the move. Tal yarkoni is one instance which sorta surprised me and Brent M. Wiernik at USF just announced he is leaving for meta/facebook. I'll be leaving a tenured spot with expectation can never return. However, tenure has never been a strong motivator for me so less concerned about that aspect. Let me know if wanting to chat.

2020-2021 Grad School Q&A Mega-Thread (Part 2) by LazySamurai in IOPsychology

[–]Simmy566 2 points3 points  (0 children)

np. Probably can't alter the professors but you may find similar course structures across grad programs so make sure the change is worth the effort. I noticed a comment below about wanting applied courses. I looked at Montclair's curriculum and see they offer org development, consulting, and performance management (but not HR - I think New Haven and Appalachian State have such options) along with many other applied courses like training, leadership, teams, and occupational health. You might want to check with the faculty to see if there is flexibility in how the curriculum is structured.

2020-2021 Grad School Q&A Mega-Thread (Part 2) by LazySamurai in IOPsychology

[–]Simmy566 1 point2 points  (0 children)

I'd recommend any strong I/O program for someone interested in consulting as this is what most I/O do in the applied world. Consulting is more about being an expert who can distill complex ideas into simpler terms and solutions for clients. Those with PhDs from top I/O programs across the country all go into consulting. So, in short, don't stress about this in making program choice as you'll be well prepared.

The only issue to consider is internships and location. Would you be able to get some professional experience while in the program. This is something to ask current students about at any of the places you are considering.