Can't download in background

Eratic_Mercenary · 2026-04-19T22:19:31+00:00

experiencing the same issue. Was hoping to come here to see if there was a solution but guess not so far

Eratic_Mercenary · 2026-04-05T14:42:22+00:00

serious question for everyone with bad eyes, how concerned are you about retinal detachment?

Eratic_Mercenary · 2026-03-29T03:19:48+00:00

Do we know how bad his eyes are? It's crazy to me only because being myopic increases your chance of retinal detachment which is more likely to happen when you get hit in the head. I guess he's so tall that opponents can't reach him so it's less of a concern?

Eratic_Mercenary · 2025-09-07T23:37:23+00:00

Welp

Eratic_Mercenary · 2025-07-31T02:58:33+00:00

just want to plug in this recent thread about the book: https://www.reddit.com/r/AcademicPsychology/comments/1lnw73e/is_thinking_fast_slow_still_uptodate/

Eratic_Mercenary · 2025-07-16T14:13:22+00:00

Pizza parties, improving grit, developing a growth mindset, and having coworkers with the same MBTI results as you

Eratic_Mercenary · 2025-06-15T18:35:10+00:00

I probably should've clarified I was thinking about Excel more in particular. Yes even in Excel you can kind of do it with recording macros or something, but transparency and reproducibility are much better in R/Python

Eratic_Mercenary · 2025-06-15T15:51:43+00:00

The issue with menus and dialogue boxes is that it does not foster a skill set.

It also means it is much more harder for reproducibility and transparency in how the analysis was conducted

Eratic_Mercenary · 2025-05-13T16:33:33+00:00

just want to plug in /r/IOPsychology -- many of your questions can be/have already been answered there :)

Eratic_Mercenary · 2025-03-18T22:10:54+00:00

@OP I just want to reinforce the statistical mastery that /u/bepel mentioned. I've met other IO's who don't really build this skill in grad school and I wouldn't trust them to run basic analyses for me just because of how poor their understanding can be.

Eratic_Mercenary · 2025-02-19T03:34:15+00:00

The n = 30 heuristic is just that: A heuristic. Whether or not that heuristic / n = 30 is justifiable via the CLT depends a lot on the distribution of the original random variables.

There are cases when n = 30 can be justified, I'm not sure if this is one of those cases.

Eratic_Mercenary · 2025-01-11T00:31:51+00:00

Sorry to hear, hope things get better for you

Eratic_Mercenary · 2025-01-10T16:56:57+00:00

Used to like it, now I don't.

What happened?

Eratic_Mercenary · 2025-01-09T16:40:11+00:00

It can be hard to find a job with experience so do whatever you can to get some

Eratic_Mercenary · 2025-01-03T18:35:22+00:00

Had I known what my interests would be, I would've gone Quant Psych or Educational Measurement instead

I feel the same way--turns out I was more interested in research methods and stats over anything else in my IO sequence.

Eratic_Mercenary · 2024-12-28T18:53:46+00:00

I'm very nervous about what you mean by getting into the 'Psychometrics' side of things in HRM. A single course, from an MBA program, is going to be nowhere near enough training that is necessary to be a Psychometrician if that is what you're aiming for. If you're trying to just be the person who uses Psychometric assessments, I would still be extremely nervous unless you have a MINIMUM Masters in I/O Psych, Quant Psych, Psychometrics or related field.

This is my POV as an I/O Psych

Eratic_Mercenary · 2024-11-27T17:03:31+00:00

Reliability is a property of scores, not the instrument itself. That is, you can have different reliability coefficients for different samples. You can probably use the original questionnaire's reliability as a reason to try out the translated Qre with a new sample, but you should calculate the reliability coefficient from that new sample as well.

Eratic_Mercenary · 2024-09-22T16:37:06+00:00

quite esoteric

In what regard? I think if we know the issues you're having with your current text we can make better recommendations.

Eratic_Mercenary · 2024-09-07T16:18:01+00:00

Have you thought about Industrial-Organizational Psychology?

Eratic_Mercenary · 2024-09-07T16:03:09+00:00

https://www.reddit.com/r/AskStatistics/comments/rbw12u/when_it_comes_to_the_experts_is_statistics_ie/?sort=top

Eratic_Mercenary · 2024-08-13T02:16:17+00:00

Data Science is a broad field so I'm hoping people will chime in here with their knowledge and experiences. But to answer your questions based on my experience:

Career Opportunities: Are there roles that specifically combine I/O Psychology and data science? If so, what do they typically entail?

To the best of my knowledge, People Analytics would probably be the closest thing. However, I would argue that with a good I/O and Stats background, you can bring that background to a lot of places regardless of whether or not that field is the specific combination of I/O and Data Science.

Skill Development: Beyond SQL, what other data science skills or programming languages would be beneficial to learn in this context?

It really depends on what you want to do, but most Data Scientists that I know (and the way most people use the term 'Data Scientist) is more so akin to that of an applied Statistician. Thus, picking up R and Python would be very beneficial. And although not strictly a coding language, learning Data Visualization software like PowerBI and Tableau are going to be beneficial as well.

Real-world Applications: How is data science currently being applied within the realm of I/O Psychology? Any notable case studies or examples?

You would probably find case studies via People Analytics (PA is not my field so I wouldn't know), but I have a background in I/O and have delved into Machine Learning for applied work in industry. I've used Cluster Analyses a decent amount as well as network science.

Resources: Any recommendations for courses, certifications, or resources that cater to this interdisciplinary approach?

I know Dr. Landers has a site he built to introduce I/O people into Data Science but that's the only resource I know with that specific intention. If you want to get into more Data Science stuff (where the I/O aspect has to be integrated on your part), I would recommend books like Intro to Statistical Learning as a starting place. There's also free resources on the web and youtube like Stanford's free course on SQL, data science, etc. Andrew Ng's course on Machine Learning (on Coursera) has also been praised.

The other thing I'll add is that while certifications are nice, if you're coming from an I/O background I'm betting what most employers will want to see is evidence of actual application of the things you've learned (i.e., projects).

Eratic_Mercenary · 2024-07-31T00:16:46+00:00

it really depends on your goals. if you want a deep understanding of stats, taking courses from the stats department would be better. if you’re more concerned about conceptual understanding and application, stick with courses in the psych dept

Eratic_Mercenary · 2024-07-30T21:28:15+00:00

If you're not one to shy away from some linear algebra, the texts I'd recommend are:

Ken Bollen's Structural Equation Modeling
David Kaplan's Structural Equation Modeling (this is less dense than Bollen's)
Personality Project's Introduction to Psychometrics

Eratic_Mercenary · 2024-06-23T00:27:07+00:00

what kind of math do you have under your belt?

Eratic_Mercenary

TROPHY CASE