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patchwork-artists · 4 months ago

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Hey you! Have you seen this post by @pigswithwings? Do you like it? Do you like animation? Well do I have the news for you! With the author's permission and consultance, I am running a 5 minute animation short film on it, called "Angel back at home"!

Now, here's the most exciting news: We are looking for storyboarders, background designers, and 3 voice actors of all genders! Even better, you don't need to be a professional on any of those things whatsoever, only have some knowledge on them (and be of minimum age 16) to try and apply for the role!

Unfortunately, it is not paid, as for legal reasons we can not make profit out of it. Why should you join then, you ask? In this project we guarantee three things:

Portifolio building: Everything you will be producing, you can be using to add to your personal art portifolio, if this is a career you'd like to follow!

Resume: The short-film will be hosted on several film festivals, so you'll be able to put a big list of festivals your work was featured in, if you'd like to follow any art career. If not, the entire experience can be written in several bullet points on a resume ("experience with working in group", "experience of working within a deadline", etc) for any general job.

Advice and art growth: Every art that gets made on this project will be seen by me, the producer, and will be given advice for improvement. This is especially good if you've been on an art block, is self-taught, or overall would like a different perspective on your art. Don't worry, I'm not harsh!

Additional points is that it allows me to know new artists and new talents! From the last project I had run in this format, I had taken notice of 5 to 6 different artists that I hadn't known were so talented for their specific skills, which made me keep their names for the next project I'd produce. I am someone who dreams of opening an animation studio for new underrated talents and non-professionals that are studying to be professionals, so i'm looking forward to finding the artists on this project that will catch my eye and I'll bring over to the next project.

The timing is flexible since it is a volunteer ran project, if I can't pay I can't demand work hours of a job, so the deadline won't be too tight. For 5 minutes of film, the boards, voice acting, and single music will all in total take about 3 months, with the deadline starting in ferbuary and ending in the end of April. The following months will be given towards animation, sound editing and mixing, and video editing.

Requirements for storyboarders: Know how to draw, understand rule of thirds, enjoy drawing expressiveness through body language. You can be using any drawing device, whether that's computer, cellphone, or traditional, as long as you use the storyboard template in question and stay faithful to references.

Application link for storyboarders

Requirement for voice actors: have a somewhat good microphone(doesn't need to be professional and expensive, just good enough so we don't want to give the audio editors too much work), have interest in acting (preferably have had at least one theather class).

Application link for V/A

Lines for V/A

Requirement for background designer: Know how to draw or how to put together a 3d model of free assests, you don't need to be super experienced and specialized with drawing backgrounds but it'll be good to have a basic idea of it. You will be given specific references for the backgrounds, and you won't draw every single background, it'll be split work

Application link for background designer

Applications end by ferbuary 8th, but may be pushed forward if the applications are low. Everyone that passed will be noticed two days after.

Best of luck to everyone!

#animation #angels #indie animation #storyboarder needed #voice actor needed #background designer needed

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directactionforhope · 11 months ago

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"Starting this month [June 2024], thousands of young people will begin doing climate-related work around the West as part of a new service-based federal jobs program, the American Climate Corps, or ACC. The jobs they do will vary, from wildland firefighters and “lawn busters” to urban farm fellows and traditional ecological knowledge stewards. Some will work on food security or energy conservation in cities, while others will tackle invasive species and stream restoration on public land.

The Climate Corps was modeled on Franklin D. Roosevelt’s Civilian Conservation Corps, with the goal of eventually creating tens of thousands of jobs while simultaneously addressing the impacts of climate change.

Applications were released on Earth Day, and Maggie Thomas, President Joe Biden’s special assistant on climate, told High Country News that the program’s website has already had hundreds of thousands of views. Since its launch, nearly 250 jobs across the West have been posted, accounting for more than half of all the listed ACC positions.

“Obviously, the West is facing tremendous impacts of climate change,” Thomas said. “It’s changing faster than many other parts of the country. If you look at wildfire, if you look at extreme heat, there are so many impacts. I think that there’s a huge role for the American Climate Corps to be tackling those crises.”

Most of the current positions are staffed through state or nonprofit entities, such as the Montana Conservation Corps or Great Basin Institute, many of which work in partnership with federal agencies that manage public lands across the West. In New Mexico, for example, members of Conservation Legacy’s Ecological Monitoring Crew will help the Bureau of Land Management collect soil and vegetation data. In Oregon, young people will join the U.S. Department of Agriculture, working in firefighting, fuel reduction and timber management in national forests.

New jobs are being added regularly. Deadlines for summer positions have largely passed, but new postings for hundreds more positions are due later this year or on a rolling basis, such as the Working Lands Program, which is focused on “climate-smart agriculture.” ...

On the ACC website, applicants can sort jobs by state, work environment and focus area, such as “Indigenous knowledge reclamation” or “food waste reduction.” Job descriptions include an hourly pay equivalent — some corps jobs pay weekly or term-based stipends instead of an hourly wage — and benefits. The site is fairly user-friendly, in part owing to suggestions made by the young people who participated in the ACC listening sessions earlier this year...

The sessions helped determine other priorities as well, Thomas said, including creating good-paying jobs that could lead to long-term careers, as well as alignment with the president’s Justice40 initiative, which mandates that at least 40% of federal climate funds must go to marginalized communities that are disproportionately impacted by climate change and pollution.

High Country News found that 30% of jobs listed across the West have explicit justice and equity language, from affordable housing in low-income communities to Indigenous knowledge and cultural reclamation for Native youth...

While the administration aims for all positions to pay at least $15 an hour, the lowest-paid position in the West is currently listed at $11 an hour. Benefits also vary widely, though most include an education benefit, and, in some cases, health care, child care and housing.

All corps members will have access to pre-apprenticeship curriculum through the North America’s Building Trades Union. Matthew Mayers, director of the Green Workers Alliance, called this an important step for young people who want to pursue union jobs in renewable energy. Some members will also be eligible for the federal pathways program, which was recently expanded to increase opportunities for permanent positions in the federal government...

“To think that there will be young people in every community across the country working on climate solutions and really being equipped with the tools they need to succeed in the workforce of the future,” Thomas said, “to me, that is going to be an incredible thing to see.”"

-via High Country News, June 6, 2024

Note: You can browse Climate Corps job postings here, on the Climate Corps website. There are currently 314 jobs posted at time of writing!

Also, it says the goal is to pay at least $15 an hour for all jobs (not 100% meeting that goal rn), but lots of postings pay higher than that, including some over $20/hour!!

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richdadpoor · 2 years ago

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Meta Releases SeamlessM4T Translation AI for Text and Speech

Meta took a step towards a universal language translator on Tuesday with the release of its new Seamless M4T AI model, which the company says can quickly and efficiently understand language from speech or text in up to 100 languages and generate translation in either mode of communication. Multiple tech companies have released similar advanced AI translation models in recent months. In a blog…

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#Applications of artificial intelligence #Computational linguistics #Creative Commons #Gizmodo #Human Interest #Internet #Large language model #Machine translation #Massively Multilingual #Massively Multilingual Speech system #META #Meta AI #Multilingualism #Paco #Paco Guzmán #Speech recognition #Speech synthesis #Technology #Translation

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lightyaoigami · 1 year ago

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☁︎｡⋆｡ﾟ☾ ﾟ｡⋆ how to resume ⋆｡ﾟ☾｡⋆｡ﾟ☁︎ ﾟ

after 10 years & 6 jobs in corporate america, i would like to share how to game the system. we all want the biggest payoff for the least amount of work, right?

know thine enemy: beating the robots

i see a lot of misinformation about how AI is used to scrape resumes. i can't speak for every company but most corporations use what is called applicant tracking software (ATS).

no respectable company is using chatgpt to sort applications. i don't know how you'd even write the prompt to get a consumer-facing product to do this. i guarantee that target, walmart, bank of america, whatever, they are all using B2B SaaS enterprise solutions. there is not one hiring manager plinking away at at a large language model.

ATS scans your resume in comparison to the job posting, parses which resumes contain key words, and presents the recruiter and/or hiring manager with resumes with a high "score." the goal of writing your resume is to get your "score" as high as possible.

but tumblr user lightyaoigami, how do i beat the robots?

great question, y/n. you will want to seek out an ATS resume checker. i have personally found success with jobscan, which is not free, but works extremely well. there is a free trial period, and other ATS scanners are in fact free. some of these tools are so sophisticated that they can actually help build your resume from scratch with your input. i wrote my own resume and used jobscan to compare it to the applications i was finishing.

do not use chatgpt to write your resume or cover letter. it is painfully obvious. here is a tutorial on how to use jobscan. for the zillionth time i do not work for jobscan nor am i a #jobscanpartner i am just a person who used this tool to land a job at a challenging time.

the resume checkers will tell you what words and/or phrases you need to shoehorn into your bullet points - i.e., if you are applying for a job that requires you to be a strong collaborator, the resume checker might suggest you include the phrase "cross-functional teams." you can easily re-word your bullets to include this with a little noodling.

don't i need a cover letter?

it depends on the job. after you have about 5 years of experience, i would say that they are largely unnecessary. while i was laid off, i applied to about 100 jobs in a three-month period (#blessed to have been hired quickly). i did not submit a cover letter for any of them, and i had a solid rate of phone screens/interviews after submission despite not having a cover letter. if you are absolutely required to write one, do not have chatgpt do it for you. use a guide from a human being who knows what they are talking about, like ask a manager or betterup.

but i don't even know where to start!

i know it's hard, but you have to have a bit of entrepreneurial spirit here. google duckduckgo is your friend. don't pull any bean soup what-about-me-isms. if you truly don't know where to start, look for an ATS-optimized resume template.

a word about neurodivergence and job applications

i, like many of you, am autistic. i am intimately familiar with how painful it is to expend limited energy on this demoralizing task only to have your "reward" be an equally, if not more so, demoralizing work experience. i don't have a lot of advice for this beyond craft your worksona like you're making a d&d character (or a fursona or a sim or an OC or whatever made up blorbo generator you personally enjoy).

and, remember, while a lot of office work is really uncomfortable and involves stuff like "talking in meetings" and "answering the phone," these things are not an inherent risk. discomfort is not tantamount to danger, and we all have to do uncomfortable things in order to thrive. there are a lot of ways to do this and there is no one-size-fits-all answer. not everyone can mask for extended periods, so be your own judge of what you can or can't do.

i like to think of work as a drag show where i perform this other personality in exchange for money. it is much easier to do this than to fight tooth and nail to be unmasked at work, which can be a risk to your livelihood and peace of mind. i don't think it's a good thing that we have to mask at work, but it's an important survival skill.

⋆｡ﾟ☁︎｡⋆｡ﾟ☾ ﾟ｡⋆ good luck ⋆｡ﾟ☾｡⋆｡ﾟ☁︎ ﾟ｡⋆

#i don't know what to tag this lmao #job hunting #resume writing tips

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txttletale · 1 year ago

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So I'm very much on the fence about AI art stuff, and know you are a bit outspoken on it. Was wondering your position on the writer and actor's strikes - they *are* fighting against the technology pretty unilaterally, but they are also doing so to protect their livelihoods against corporate interests and aren't talking about banning it entirely, just adopting some industry standards on it. Curious to hear your thoughts on the matter.

the WGA and SAG-AFTRA strikes are not specifically about AI, but primarily about wages and residuals on streaming platforms. that said, their AI stances are obviously correct and i support them.

in fact, notably, WGA's stance is pretty opposite to what a lot of anti-AI posters keep insisting: one of their major victories against studios is an agreement that if a writer works on a script created by a large language model, they get a full writing credit and the LLM can't be credited as a writer in its own right. the position that "AI art has no human input" is ironically exactly what big corporations want to be the case legally, so that they don't have to credit or owe royalties to artists who work in production pipelines involving AI.

SAG's contention is similarly specific: they are against AI being used to replace actors by imitating their likenesses or voice, and specifically against contracts that give studios such a right becoming industry standard.

both of these positions are 1. being pursued by organized industrial action, instead of by individuals Posting and 2. to do with specific exploitative applications of AI as implemented into corporate production pipelines, not broad abstract questions of What Art Is or personal level use, which is what separates them from the "anti AI" movement as represented by the people clogging my inbox

#ask #wannabe-eugene-debs

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mostlysignssomeportents · 1 year ago

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Humans are not perfectly vigilant

I'm on tour with my new, nationally bestselling novel The Bezzle! Catch me in BOSTON with Randall "XKCD" Munroe (Apr 11), then PROVIDENCE (Apr 12), and beyond!

Here's a fun AI story: a security researcher noticed that large companies' AI-authored source-code repeatedly referenced a nonexistent library (an AI "hallucination"), so he created a (defanged) malicious library with that name and uploaded it, and thousands of developers automatically downloaded and incorporated it as they compiled the code:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

These "hallucinations" are a stubbornly persistent feature of large language models, because these models only give the illusion of understanding; in reality, they are just sophisticated forms of autocomplete, drawing on huge databases to make shrewd (but reliably fallible) guesses about which word comes next:

https://dl.acm.org/doi/10.1145/3442188.3445922

Guessing the next word without understanding the meaning of the resulting sentence makes unsupervised LLMs unsuitable for high-stakes tasks. The whole AI bubble is based on convincing investors that one or more of the following is true:

There are low-stakes, high-value tasks that will recoup the massive costs of AI training and operation;

There are high-stakes, high-value tasks that can be made cheaper by adding an AI to a human operator;

Adding more training data to an AI will make it stop hallucinating, so that it can take over high-stakes, high-value tasks without a "human in the loop."

These are dubious propositions. There's a universe of low-stakes, low-value tasks – political disinformation, spam, fraud, academic cheating, nonconsensual porn, dialog for video-game NPCs – but none of them seem likely to generate enough revenue for AI companies to justify the billions spent on models, nor the trillions in valuation attributed to AI companies:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

The proposition that increasing training data will decrease hallucinations is hotly contested among AI practitioners. I confess that I don't know enough about AI to evaluate opposing sides' claims, but even if you stipulate that adding lots of human-generated training data will make the software a better guesser, there's a serious problem. All those low-value, low-stakes applications are flooding the internet with botshit. After all, the one thing AI is unarguably very good at is producing bullshit at scale. As the web becomes an anaerobic lagoon for botshit, the quantum of human-generated "content" in any internet core sample is dwindling to homeopathic levels:

https://pluralistic.net/2024/03/14/inhuman-centipede/#enshittibottification

This means that adding another order of magnitude more training data to AI won't just add massive computational expense – the data will be many orders of magnitude more expensive to acquire, even without factoring in the additional liability arising from new legal theories about scraping:

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

That leaves us with "humans in the loop" – the idea that an AI's business model is selling software to businesses that will pair it with human operators who will closely scrutinize the code's guesses. There's a version of this that sounds plausible – the one in which the human operator is in charge, and the AI acts as an eternally vigilant "sanity check" on the human's activities.

For example, my car has a system that notices when I activate my blinker while there's another car in my blind-spot. I'm pretty consistent about checking my blind spot, but I'm also a fallible human and there've been a couple times where the alert saved me from making a potentially dangerous maneuver. As disciplined as I am, I'm also sometimes forgetful about turning off lights, or waking up in time for work, or remembering someone's phone number (or birthday). I like having an automated system that does the robotically perfect trick of never forgetting something important.

There's a name for this in automation circles: a "centaur." I'm the human head, and I've fused with a powerful robot body that supports me, doing things that humans are innately bad at.

That's the good kind of automation, and we all benefit from it. But it only takes a small twist to turn this good automation into a nightmare. I'm speaking here of the reverse-centaur: automation in which the computer is in charge, bossing a human around so it can get its job done. Think of Amazon warehouse workers, who wear haptic bracelets and are continuously observed by AI cameras as autonomous shelves shuttle in front of them and demand that they pick and pack items at a pace that destroys their bodies and drives them mad:

https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/

Automation centaurs are great: they relieve humans of drudgework and let them focus on the creative and satisfying parts of their jobs. That's how AI-assisted coding is pitched: rather than looking up tricky syntax and other tedious programming tasks, an AI "co-pilot" is billed as freeing up its human "pilot" to focus on the creative puzzle-solving that makes coding so satisfying.

But an hallucinating AI is a terrible co-pilot. It's just good enough to get the job done much of the time, but it also sneakily inserts booby-traps that are statistically guaranteed to look as plausible as the good code (that's what a next-word-guessing program does: guesses the statistically most likely word).

This turns AI-"assisted" coders into reverse centaurs. The AI can churn out code at superhuman speed, and you, the human in the loop, must maintain perfect vigilance and attention as you review that code, spotting the cleverly disguised hooks for malicious code that the AI can't be prevented from inserting into its code. As "Lena" writes, "code review [is] difficult relative to writing new code":

https://twitter.com/qntm/status/1773779967521780169

Why is that? "Passively reading someone else's code just doesn't engage my brain in the same way. It's harder to do properly":

https://twitter.com/qntm/status/1773780355708764665

There's a name for this phenomenon: "automation blindness." Humans are just not equipped for eternal vigilance. We get good at spotting patterns that occur frequently – so good that we miss the anomalies. That's why TSA agents are so good at spotting harmless shampoo bottles on X-rays, even as they miss nearly every gun and bomb that a red team smuggles through their checkpoints:

https://pluralistic.net/2023/08/23/automation-blindness/#humans-in-the-loop

"Lena"'s thread points out that this is as true for AI-assisted driving as it is for AI-assisted coding: "self-driving cars replace the experience of driving with the experience of being a driving instructor":

https://twitter.com/qntm/status/1773841546753831283

In other words, they turn you into a reverse-centaur. Whereas my blind-spot double-checking robot allows me to make maneuvers at human speed and points out the things I've missed, a "supervised" self-driving car makes maneuvers at a computer's frantic pace, and demands that its human supervisor tirelessly and perfectly assesses each of those maneuvers. No wonder Cruise's murderous "self-driving" taxis replaced each low-waged driver with 1.5 high-waged technical robot supervisors:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

AI radiology programs are said to be able to spot cancerous masses that human radiologists miss. A centaur-based AI-assisted radiology program would keep the same number of radiologists in the field, but they would get less done: every time they assessed an X-ray, the AI would give them a second opinion. If the human and the AI disagreed, the human would go back and re-assess the X-ray. We'd get better radiology, at a higher price (the price of the AI software, plus the additional hours the radiologist would work).

But back to making the AI bubble pay off: for AI to pay off, the human in the loop has to reduce the costs of the business buying an AI. No one who invests in an AI company believes that their returns will come from business customers to agree to increase their costs. The AI can't do your job, but the AI salesman can convince your boss to fire you and replace you with an AI anyway – that pitch is the most successful form of AI disinformation in the world.

An AI that "hallucinates" bad advice to fliers can't replace human customer service reps, but airlines are firing reps and replacing them with chatbots:

https://www.bbc.com/travel/article/20240222-air-canada-chatbot-misinformation-what-travellers-should-know

An AI that "hallucinates" bad legal advice to New Yorkers can't replace city services, but Mayor Adams still tells New Yorkers to get their legal advice from his chatbots:

https://arstechnica.com/ai/2024/03/nycs-government-chatbot-is-lying-about-city-laws-and-regulations/

The only reason bosses want to buy robots is to fire humans and lower their costs. That's why "AI art" is such a pisser. There are plenty of harmless ways to automate art production with software – everything from a "healing brush" in Photoshop to deepfake tools that let a video-editor alter the eye-lines of all the extras in a scene to shift the focus. A graphic novelist who models a room in The Sims and then moves the camera around to get traceable geometry for different angles is a centaur – they are genuinely offloading some finicky drudgework onto a robot that is perfectly attentive and vigilant.

But the pitch from "AI art" companies is "fire your graphic artists and replace them with botshit." They're pitching a world where the robots get to do all the creative stuff (badly) and humans have to work at robotic pace, with robotic vigilance, in order to catch the mistakes that the robots make at superhuman speed.

Reverse centaurism is brutal. That's not news: Charlie Chaplin documented the problems of reverse centaurs nearly 100 years ago:

https://en.wikipedia.org/wiki/Modern_Times_(film)

As ever, the problem with a gadget isn't what it does: it's who it does it for and who it does it to. There are plenty of benefits from being a centaur – lots of ways that automation can help workers. But the only path to AI profitability lies in reverse centaurs, automation that turns the human in the loop into the crumple-zone for a robot:

https://estsjournal.org/index.php/ests/article/view/260

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

Jorge Royan (modified) https://commons.wikimedia.org/wiki/File:Munich_-_Two_boys_playing_in_a_park_-_7328.jpg

CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0/deed.en

Noah Wulf (modified) https://commons.m.wikimedia.org/wiki/File:Thunderbirds_at_Attention_Next_to_Thunderbird_1_-_Aviation_Nation_2019.jpg

CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en

#pluralistic #ai #supervised ai #humans in the loop #coding assistance #ai art #fully automated luxury communism #labor

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literaryvein-reblogs · 9 months ago

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Writing Notes: The Five-Factor Model of Personality

Culture is transmitted to people through language, as well as through social norms which establish acceptable and unacceptable behaviors which are then rewarded or punished (Henrich, 2016; Triandis & Suh, 2002).

With an increased understanding of cultural learning, psychologists have become interested in the role of culture in understanding personality.

The 5 Personality Traits According to this Model

OPENNESS TO EXPERIENCE

Refers to a person's imagination, feelings, actions, ideas

LOW score: More likely to be practical, conventional, prefer routine

HIGH score: More likely to be curious, have a wide range of interests, be independent

CONSCIENTIOUSNESS

Competence, self-discipline, thoughtfulness, goal-driven

LOW: Impulsive, careless, disorganized

HIGH: Hardworking, dependable, organized

EXTROVERSION

Sociability, assertiveness, emotional expression

LOW: Quiet, reserved, withdrawn

HIGH: Outgoing, warm, seeks adventure

AGREEABLENESS

Cooperative, trustworthy, good-natured

LOW: Critical, uncooperative, suspicious

HIGH: Helpful, trusting, empathetic

NEUROTICISM

Tendency toward unstable emotions

LOW: Calm, even-tempered, secure

HIGH: Anxious, unhappy, prone to negative emotions

Applicability

The idea that personality can be described and explained by five traits (OCEAN) has important implications, as does the fact that most personality tests were constructed and initially tested in Western countries.

Western ideas about personality may not apply to other cultures (Benet-Martinez & Oishi, 2008).

2 Main Cultural Approaches for Researching Personality

Etic traits - considered universal constructs that are evident across cultures and represent a biological bases of human personality. If the Big Five are universal then they should appear across all cultures (McCrae and Allik, 2002).

Emic traits - constructs unique to each culture and are determined by local customs, thoughts, beliefs, and characteristics. If personality traits are unique to individual cultures then different traits should appear in different cultures.

Using an Etic Framework

Cross cultural research of personality uses an etic framework and researchers must ensure equivalence of the personality test through validation testing.

The instrument must include equivalence in meaning, as well as demonstrate validity and reliability (Matsumoto & Luang, 2013).

Example: The phrase feeling blue is used to describe sadness in Westernized cultures but does not translate to other languages.

Differences in personality across cultures could be due to real cultural differences, but they could also be consequences of poor translations, biased sampling, or differences in response styles across cultures (Schmitt, Allik, McCrae, & Benet-Martínez, 2007).

Personality Test/Measure Used: The NEO-PI

Most of the cross-cultural research on the Five-Factor Model (FFM) and Big Five (OCEAN) has been done using the NEO-PI (and its subsequent revisions; i.e., it is an assessment tool developed to measure the 5 dimensions of personality according to the FFM) which has demonstrated equivalence, reliability and validity across several cross-cultural studies (Costa & McCrae, 1987; McCrae, Costa & Martin, 2005).

Research using the NEO-PI found support for the entire Five-Factor Model in Chinese, Dutch, Italian, Hungarian, German, Australian, South African, Canadian, Finnish, Polish, Portuguese, Israeli, Korean, Japanese, and Filipino samples, in addition to other samples (McCrae, Costa, Del Pilar, Rolland, & Parker, 1998).

NOTE

Personality tests rely on self-report which is susceptible to response bias like socially desirability responding.

To evaluate this possibility, McCrae and colleagues (2005) recruited students from 50 cultural groups and modified the NEO-PI to be in the third person (i.e., he, she, his, her):

The research participants were asked to complete the form on someone else that they knew very well (McCrae et al., 2005).

The same 5 factors emerged in this study.

These results provided empirical support for the FFM and for the use of self-report instruments when conducting cross-cultural personality research.

There was no reason for the students to respond in a desirable way because they were answering questions about someone else.

Sources: 1 2 ⚜ Writing Notes & References

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