Honor culture and Health Psychology Research Ideas

1) Honor culture and elderly care: Do families from honor cultures (Turkey, Morocco, Afghans, Iraqies, tc.) have more supportive attitudes towards familial care for elderly members of their family?

Why is it important? Elderly health care is getting more and more expensive for the government, and the quality of elderly health care is going down as their less governmental money to be spent on gerontology. So, in times where there is no quality health care for elderly people, it is an asset to be willing and able to take care of the elderly members of your own family. In the future, families from non-honor communities can look for examples for how to take care of their elders from traditional collectivistic and honor cultures. This is a positive aspect of honor cultures.

El-Quade guy said Western people don't take care of their elderly and old people are suffering from loneliness


2) Honor culture and Reluctance to Seeking Healthcare: Endorsing feminine, family, and masculine honor norms may hinder women from seeking treatment for human papillomavirus (HPV) infections, and both women and men from seeking treatment/care for sexually transmitted infections (STIs).

Acknowlegment of mental disabilities (autism, asperger's) in honor cultures, big stigma.

Also in the case of STIs, it may matter whether the person notifies the person who transmitted them the STD - would the culture of the person who transmitted the STD, would you confront the person or not if the person who received the STD and the who transmitted it are both from an honor culture versus one honor and dignity culture?


3) Honor culture, gender, and taboo of ingroup members' dating of outgroup members

Why people from Turkish-Dutch communities dissapprove Turkish women dating/marrying Dutch men more than Turkish men dating/marrying Dutch women?

Guidance for Research Students from cameron-brick's website

https://www.cameronbrick.com/resources

LETTERS OF RECOMMENDATION

I write each recommendation individually, so please request a letter for each different program. After I agree that I am a good fit and able to write you a strong letter, then to help me write an impactful and relevant letter by please including the following documents in a single email:

1. Who else is writing letters for this opportunity?
2. If you took a class with me, mention the date, class, your grade, and something that distinguished you from other students. How did your effort or performance show excellence? What did the class mean to you or change in your trajectory?
3. Deadline of the recommendation
4. Unofficial transcript
5. CV or resume
6. If you worked as a research assistant, mention the dates and projects and your duties.
7. School/program opportunity description or webpage
8. Statement of purpose or application essay, or if none, a brief description of why you're applying

WHAT RESEARCH ASSISTANTS DO

General

The stages of our research process are: 

1. Brainstorming and idea generation (usually not RAs)
2. Literature search
3. Planning methods and materials
4. Submitting Institutional Review Board (IRB) application (usually not RAs)
5. Building study materials on paper or online
6. Running participants
7. Data entry
8. Verifying and cleaning data (usually not RAs)
9. Statistical analysis (usually not RAs, but here are interaction instructions)
10. Sharing the results in a poster, talk, or manuscript (usually not RAs)

Your involvement in these processes will depend on your skills and motivation.

What you get out of this experience will depend on your effort and engagement. If you are genuinely interested in research careers or grad school, take responsibility for your participation by communicating what you’d like to work on and getting more tasks from us if you finish one early. The more responsible and responsive you are, the more interesting tasks you will receive.

Study Materials

We primarily use Qualtrics to build and deliver studies. I may ask you to edit surveys there.

Data Entry

Data entry is when you are adding to existing data files, either from a log or a questionnaire. Usually, you will enter numbers into a spreadsheet in preparation for analysis. I will train you in this process and introduce you to the software. We mostly use Google Docs, Excel, and SPSS. Accuracy is paramount. Go slowly and be aware that your work will be checked.

Scheduling

When it’s time to start the study, schedule Google Calendar slots about two weeks in advance, avoiding intro psych lecture times if possible. Create slots in Google Calendar for a particular research room for as many weeks as you can anticipate your schedule. Call each event “[your first name]". Next, we use SONA to schedule and communicate with research participants. Contact me for a login to use with our lab. Seven or more days ahead, make slots in SONA for when you’re available to actually run. Then, delete any unfilled Google Calendar spaces. They should agree completely.

LITERATURE SEARCH

Are you familiar with performing a literature search? The purpose is a broad sweep to identify relevant research. At this stage, don't actually read the papers, just take notes about them. Also read about Boolean search logic, truncation, and wildcards. It’s especially importantly to use “” to form phrases: notice how different your results are in Google when you search social memory vs. “social memory”.  

1. Start by reading about the research question. If the area is self-esteem, read that article on Wikipedia to get oriented to the key concepts and terms.
2. Go to the library website and choose the best database. PsycInfo is the central database for psychology. We also commonly use Google and Google Scholar. For medical papers, use PubMed. For economics, JSTOR. For education, ERIC.
3. Search! If you get too few results (usually < 20), broaden your keywords. If you get too many (usually > 200), use quotes, different terms, or more terms. The “right” number of results is a tricky issue to nail down. It depends on the research question. Communicate clearly with me about your search terms and database and what you’re finding and I’ll be able to direct you.
4. Good progress! Now search again using different keywords. For example, a project about randomness might include these different search terms, searched separately or together in various combinations:
   fate fatalism causation causal cause randomness meaning control
   “personal need for structure” “need for cognition"
5. Document your process. Include the database, exact search terms, and notes about the search process. Was it easy to answer the question? Of the citations you found, were there many more, or were you scraping the bottom?
6. When you find a good, relevant article, check which articles have cited that article since it was published. This can be done at Google Scholar (how-to guide) or Web of Science.
7. Document your findings. Using a Google document or spreadsheet, perhaps one that I’ve shared with you already, include the citation, abstract, and your summary of why you included this article, the central finding of the article, and any questions you have for me and our team about the citation. Please see this example from a real project in our lab.

PAPERS

I would like you to pick one that's useful for you. If you don’t like any of these, propose something else to me: anything that is useful or interesting to you, so long as it is original, new work. Papers are due Monday of finals week at 4pm by email.

Often I assign some research article that is relevant to the study/studies they are running for me and then ask them to write a research proposal that is related to/inspired by what they read. Should be about 3 or 4 pages.

OR:

Write a complete job description and CV (curriculum vitae) or resume.

CV and resume: Pick two "pretend job positions" to which you are applying and briefly describe it at the beginning so I know the goal of your CV/resume. These should be two different positions you are applying for when you submit either a CV or resume (different jobs require each). You could use any of the careers you described above, but realize that the positions you pick should correctly reflect your understanding of the difference between when a CV is appropriate and when a resume is appropriate. A CV is an "academic resume" and has different content. A resume, on the other hand, is for more professional positions and requires more description of duties. Both should include all relevant experience you'd had up to this point as an undergraduate, but don't worry if you don't have too much experience to report. You can find out how to write these here: http://owl.english.purdue.edu/owl/resource/641/01

You might have a CV/resume written already, but I want you to go through these websites in detail and make as polished of a CV and resume as possible, as if you were actually turning these in with an application. Remember all this is to your benefit so I want you to want to do the research and reading for this. Hopefully it'll be fun, but most of all, informative. Let me know if you have any questions at any point.

OR:

Career Research: Research different careers. Pick at least 1 "research" position and 1 "applied" position. It doesn't have to be in psychology, but it obviously should be a career where you can use your Psych B.A. Most of the jobs you'll find on the site are more applied/professional positions, but remember that in research you can study basically anything you want.

For each, I want you to address in 2-3 pages double spaced each the following: summarize the career you envision specific to your interests (beyond the general description provided on that website), how you can start catering your undergraduate from THIS MOMENT to prepare and gain experience for this position, and the training and credentials required after undergraduate (i.e. grad or professional school) to obtain this position. You might have to do some outside research on your own to learn more about these careers. In the essay, please provide links back to the website for each career so I know which ones you picked.

In my view, this assignment is for your benefit. What would you like to pursue? If you'd like a fourth option, propose another task.

Feedback about writing evidence

Pelin, it was hard to follow your sentence structure, so I rephrased it.  I also think it is preferable, where possible, to  focus on what people do, not on how constructs are related.   

Write for cover up teaching/research for future (in needed)

Jeremy Burman (Groningen)
Nina Hansen (Groningen)

Michael Bender (Tilburg)
Yvette Van Osch (Tilburg)

Michael Verkuyten (Utrecht)
Sheida Novin (Utrecht)

Josh Tybur (VU Amsterdam)

Bertjan Doosje (UvA)
Birol Akkus
Sanne Lamers

Summary of Saucier Lab Research on Masculine Honor Beliefs

Recent research has conceptualized adherence to masculine honor ideology as an individual difference in one’s endorsement of MHB, suggesting men and women from nonhonor cultures may also endorse masculine honor ideology (e.g., Barnes et al., 2012; Saucier & McManus, 2014; Saucier et al., 2016). Influenced by previous honor research, Saucier et al. (2016) developed the Masculine Honor Beliefs Scale (MHBS) to measure seven facets (e.g., pride in manhood and provocation) representing MHB. MHB explain regional differences in honor-related responses to provocation (see Saucier, Miller, et al., 2018). Furthermore, the MHBS has been used to examine relationships between adherence to MHB and various attitudes and perceptions of social behaviors, such as perceptions of the world being a “competitive jungle” (Saucier, Webster, et al., 2018), men’s motivations for muscularity (Saucier, O’Dea, & Stratmoen, 2017), perceptions of slurs against men’s masculinity as insulting and deserving of retaliatory aggression (Saucier, Till, Miller, O’Dea, & Andres, 2015), expectations for men to physically confront honor threats (O’Dea, Chalman, Castro Bueno, & Saucier, 2018), and negative perceptions of those who do not (O’Dea, Bueno, & Saucier, 2017). MHB are associated with various political attitudes, including greater endorsement of agentic male candidates for President of the U.S. (Martens, Stratmoen, & Saucier, 2018), negative perceptions of football players who knelt during the National Anthem to protest police violence against racial minorities (Stratmoen, Lawless, & Saucier, 2018), and greater support for restrictive national security policies and endorsement of war (Saucier, Webster, et al., 2018). Furthermore, MHB are associated with negative perceptions of rape survivors and increased support for punishment for rapists (Saucier, Strain, Hockett, & McManus, 2015), as well as with perceptions of romantic rejection as threatening men’s honor and consequently expecting increased aggression by men toward women who reject their romantic advances (Stratmoen, Greer, Martens, & Saucier, 2018).

Source is this paper: Stratmoen, E., Rivera, E. D., & Saucier, D. A. (2019). “Sorry, I already have a boyfriend”: Masculine honor beliefs and perceptions of women’s use of deceptive rejection behaviors to avert unwanted romantic advances. Journal of Social and Personal Relationships, 0265407519865615.

Excellent symposium abstract and talk abstract (SPSP2020)

SPSP2020 Symposium - Evolutionary Mismatches for Relationships, Politics, and Goal Pursuit

Symposium abstract: Modern advances lead to rapid environmental changes that outpace the ability of humans to adapt. The four talks in this symposium will explore evolutionarily novel features of the environment (e.g., medical advances, large societies) that have implications for a wide range of behaviors. The first speaker will present a theoretical perspective suggesting that many social issues are due in part to mismatches between the modern and evolutionary environments. The remaining talks will discuss recent empirical work derived from this perspective in three domains. Specifically, the second speaker will present longitudinal data demonstrating that women’s hormonal contraceptive use impacts their relationship outcomes. The third speaker will present evidence suggesting that evolved heuristics can explain people’s selection of narcissistic and authoritarian leaders as well as the underrepresentation of women leaders. The final speaker will present five studies suggesting that people are maladapted to evaluate goal progress by showing that modern demands lead people to misperceive goal pursuit. Together, these talks introduce a new framework for understanding important human social phenomena.

Talk 1 abstract: It’s a mismatched world

Living standards in modern societies are at historically unprecedented high levels and people are living longer, safer, and freer lives than ever. Ironically, however, modern people experience lower psychological well-being than ancestral humans such that they report increased chronic stress, anxiety, and depression; are more dissatisfied in their romantic relationships; are more prone to divorce; and, are more dissatisfied in the workplace. Here, an evolutionary mismatch perspective is introduced as a framework through which to view and examine modern problems. Human psychology consists of mechanisms that evolved to process environmental inputs, turning them into behavioral outputs that, on average, increase survival or reproductive prospects. Modern contexts, however, differ vastly from the environment that existed as human psychological mechanisms evolved, thereby leading many mechanisms to produce maladaptive output. In this talk, the evolutionary mismatch process is described, areas of mismatch are highlighted, and implications for psychological science and policy are considered.

Talk 2 abstract: Hormonal contraception: A possible evolutionary mismatch for relationships

Modern-day environments differ drastically from those in which humans evolved, and such differences likely have important implications for human mating psychology. One particularly notable difference is the modern development of hormonal contraceptives (HCs). HCs alter the hormones of the many women who use them, including hormones associated with women’s partner preferences (particularly preferences for genetic fitness). Accordingly, the HC congruency hypothesis posits that changing HC use after relationship formation (relative to use at relationship formation) changes women’s relationship evaluations. We tested this possibility in two independent, longitudinal studies of 203 newlywed couples. Results demonstrated that when women’s HC use was incongruent (versus congruent) with their use at relationship formation, they reported lower sexual and marital satisfaction—though, such women were buffered against lower marital satisfaction when their partners were particularly physically attractive (a marker of genetic fitness). These findings highlight the importance of considering mismatches between the modern and ancestral environments for better understanding close relationships.

Talk 3 abstract: The appeal of a strong leader: Evidence for mismatch?

We live in large, complex organizations with strong, powerful leaders. Yet our minds evolved in small-scale societies with distributed leadership. Discrepancies between modern versus small-scale societies may account for many leadership challenges today (e.g., preference for authoritarian and narcissistic political leaders, underrepresentation of women leaders). Current leadership theories cannot account for these challenges because they assume that leadership selection is a rational decision-making process. We argue instead that people select leaders using simple heuristics that are mismatched to the modern world. Four studies on political elections show that people (a) attend more to physical cues of leaders (e.g., height, appearance) than competence cues; (b) attribute organizational successes and failures disproportionally to the people in charge, despite contrary evidence; and (c) base their leadership preferences on their own physiological (e.g., strength, health) and developmental needs (e.g., childhood environment). The result is a comprehensive understanding of the evolved heuristics that shape leadership preferences and how they may be mismatched in modern societies.

Talk 4 abstract: Evolutionary mismatches in self-regulation: Having long-term goals but using short-term standards

Society has changed at a faster pace than human biology, leading to mismatches between the ancestral and modern context of goal pursuits. We discuss one implication of modern goal pursuit—that long-term goal pursuits often require short-term standards. Across 5 studies, we show that the presence of these standards draws attention, leading to nonlinear biases in how people evaluate goal progress. In Studies 1-3, we examine nonlinear perceptions of goal progress across multiple goals involving both inhibition and initiation behaviors. In Study 4, we investigated whether nonlinear perceptions emerge from only externally imposed standards or whether they also exist across self-set standards. Finally, in Study 5, we tested the degree to which these processes may reflect a self-serving bias versus a binary bias and examined temporal reframing. Together, these studies suggest that people perceive a linear phenomenon—long-term goal progress—as non-linear. We discuss these findings from an evolutionary perspective, highlighting the incongruence between modern and ancestral societies with regard to goal pursuit demands.

With Sheida - honor is related to moral clarity and especially the honor integrity component rather than the honor status component

Sheida's study: honor is related to moral clarity and especially the honor integrity component rather than the honor status component

Think of the next steps: why would this be?

Background readings on shame

Sznycer, D., Tooby, J., Cosmides, L., Porat, R., Shalvi, S., & Halperin, E. (2016). Shame closely tracks the threat of devaluation by others, even across cultures. Proceedings of the National Academy of Sciences, 113(10), 2625-2630.

Sznycer, D., Takemura, K., Delton, A. W., Sato, K., Robertson, T., Cosmides, L., & Tooby, J. (2012). Cross-cultural differences and similarities in proneness to shame: An adaptationist and ecological approach. Evolutionary Psychology, 10(2), 147470491201000213.

Sznycer, D., Xygalatas, D., Agey, E., Alami, S., An, X. F., Ananyeva, K. I., ... & Fukushima, S. (2018). Cross-cultural invariances in the architecture of shame. Proceedings of the National Academy of Sciences, 115(39), 9702-9707.

Sznycer, D., Al-Shawaf, L., Bereby-Meyer, Y., Curry, O. S., De Smet, D., Ermer, E., ... & McClung, J. (2017). Cross-cultural regularities in the cognitive architecture of pride. Proceedings of the National Academy of Sciences, 114(8), 1874-1879.

Robertson, T. E., Sznycer, D., Delton, A. W., Tooby, J., & Cosmides, L. (2018). The true trigger of shame: Social devaluation is sufficient, wrongdoing is unnecessary. Evolution and Human Behavior, 39(5), 566-573.

Breugelmans, S. M., & Poortinga, Y. H. (2006). Emotion without a word: Shame and guilt among Rarámuri Indians and rural Javanese. Journal of Personality and Social Psychology, 91(6), 1111.

Goetz, J. L., & Keltner, D. (2007). Shifting meanings of self-conscious emotions across cultures. The self-conscious emotions: Theory and research. New York, NY: Guilford.

Fessler, D. (2004). Shame in two cultures: Implications for evolutionary approaches. Journal of Cognition and Culture, 4(2), 207-262.

Sznycer, D., Cosmides, L., & Tooby, J. (2017). Adaptationism carves emotions at their functional joints. Psychological Inquiry, 28(1), 56-62.

R and RStudio Learning Resources

https://bookdown.org/ndphillips/YaRrr/who-is-this-book-for.html

Daniel Nettle (July, 2019) Modelling and visualizing data using R: A practical introduction

Coding Bootcamps for DataScience

http://bssa.nu/data-analytics-machine-learning/   ---> for free! 

http://www.daysofcode.nl/#frontend 

https://ubiqum.com/programs/data-analytics-and-machine-learning-program/ 

 

https://codaisseur.com/  (Erle's program) https://eaglescience.nl (Erle's company- where she works)

 

https://shecancode.io/blog/top-ten-coding-bootcamps-in-europe 

 

https://www.coursereport.com/cities/amsterdam

Erle Monfils' Recommended Coding Websites

Hi Pelin!

So, as promised a few site recommendations. First, I would recommend code academy, which is very could to learn the principles of code: https://www.codecademy.com/catalog/subject/all. They have a lot courses, but I would do HTML/CSS, JavaScript, and the Bash/Shell course to really get a taste of the basics for web development. Also, they have some data science courses.

What codeacademy is not so good at, is actually teaching you how to code on your own computer. For this, and to get a better taste for web development, I would recommend following the official tutorial for Angular, a popular framework for frontend: https://angular.io/tutorial

To learn more about Python, I would.recommend www.learnpythonthehardway.org. I didn't follow it entirely, but I've read it's very good. (I didn't check if it's still for.free though)

Lastly, if you want to.know about data science and machine learning, you could.look at the YouTube channel 'The coding train'.

Hope this helps!

Best, Erle

https://codaisseur.com/  (Erle's program that landed her in a job) https://eaglescience.nl (Erle's company- where she works)

Martin Merener's Recommended Online Data Science/Machine Learning Courses

Pelin, these are 3 courses that I highly recommend to get into Machine Learning for data science. Note that not all DataScience jobs require ML. Some are more about code development to deal with data, but these are nothing fancier than ML, just some simple stats. I find ML to be more interesting, but it depends on your taste. No matter what, you would surely need Python and SQL. There are tons of sources for that online, and I don't have any favorite to recommend. For ML these are the ones:

1) Probably the most ML course online ever. From 2012, but still excellent. https://www.coursera.org/learn/machine-learning

2) Another classic, less popular, but also excellent. https://work.caltech.edu/telecourse.html
Those two focus on the foundations.

On the other side, there are courses that are a lot more hands-on. The best ones I've known are from these guys: https://www.fast.ai/
They teach you how to immediately start training neural networks in cloud services.
I recommend that everything you do by yourself, along with these courses, you put it nicely in a github repository, so you can show your portfolio eventually.

LinkedIn Profiles of a Data Scientist for PhD in Psychology

https://www.linkedin.com/in/lisamariepritchett/ ----> Girl from Toronto, who has a PhD in psychology who is now a Data Scientist at Uberflip. She has a certificate in Machine Learning by Stanford University from Coursera: https://www.coursera.org/account/accomplishments/verify/Y2RKB4TSEU6S


She attended in bootcamp in Data Science (WeCloudData)
A 12-week bootcamp helped me gain confidence in my skills. I became a better programmer in Python, learned SQL, and Big Data technologies.

Courses
Data Science Specialization, Johns Hopkins University and Coursera
Course nameFactor Analysis at MTSU
Course nameIntro to Computer Science by Udacity
Course nameIntro to Python for Data Science by DataCamp
Course nameMachine Learning by Stanford University on Coursera
Course nameMultivariate Statistical Analysis at MTSU
Course namePrinciples of Neural Coding at York University
Course nameProbability and Statistics, Highschool AP
Course nameSQL Bolt
Course nameUnivariate & Multivariate Statistics for Behavioral Sciences at MTSU

Her LinkedIn profile: Data Science is my passion. Writing Spark code makes me happy. Exploring data is my thing. Statistics is my old friend. Math is sexy. Machine Learning is changing the world. These are a few things of the things I know.


And what she wrote as part of her PhD tasks and responsibilities:
York University
Total Duration6 yrs 10 mos
TitleDoctoral Student Researcher
Dates EmployedSep 2009 – Jun 2016
Employment Duration6 yrs 10 mos
LocationToronto, Canada Area
Designed and Carried out dozens of experiments about Human Sensory Perception. Gathered and processed raw data from human and machine system. Analyzed data using Matlab, SPSS, R, SAS, and Excel. Programmed experimental protocols using Matlab. Applied Machine Learning algorithms to gain insights into human perceptual processes. Set up and used experimental apparatus including 3D-motion capture system, gaze tracker, LEDs, loudspeakers, and tactors. Supervised 2 undergraduates carrying out thesis research in the lab. Co-authored 6 scientific journal articles, 3 as first author. Presented 1 talk and 15 posters at international research conferences.
See less

TitleTeaching Assistant in Thesis Research Course
Dates EmployedSep 2012 – Aug 2015
Employment Duration3 yrs
LocationToronto, Canada
Primary supervisor to dozens of undergraduate students every semester. Taught and evaluated students on the research process including literature review, defining hypotheses, creating research materials, collecting, entering, and analyzing data in SPSS, and writing and presenting results. Led teams to design and carry out research including survey data collection. Assured projects were completed under strict deadlines.

See less

TitleTeaching Assistant in Statistics, Research Methods, and Neuroscience
Dates EmployedSep 2009 – Aug 2012
Employment Duration3 yrs
LocationToronto, Canada Area
Guest lectured in Research Methods and Sensation and Perception courses. Lead tutorials on Statistics and data analysis using SPSS. Communicated with students regarding questions and concerns efficiently. Evaluated assignments and exams under strict deadlines. Maintained records of assignment and test scores.




https://www.linkedin.com/in/joana-katter/ ---> Girl from Toronto, who has a PhD in psychology who is now a Behavioral Scientist

https://www.linkedin.com/in/seren-soner-2995882b/ -->  this guy has an EdX certificate for Python for data science from UC San Diego. https://www.edx.org/course

https://www.linkedin.com/in/williampitz/ ---> this is the Dutch/British guy who did his Master's at Kent. Who also worked in TentamenTrainingen.nl

Open a Research Solutions Company Website

Company name:
DrPelipop Research Solutions

my text in my Linked in Profile

I am adept at learning new areas of social sciences literature, statistical tools, and data analysis techniques. I work well in open collaborative environments but also possess an independent mind and leadership skills.

Note: I have recently moved to the Netherlands. I am currently looking for a job in a dynamic team and one that I can contribute with my academic and interpersonal skills.

https://www.youtube.com/watch?v=eg0jsXNxzLI&feature=share

The Independent, DailyMail, New Scientist, Psychology Today, PsyPost, BigThink, Inquisitr, The Young Turks, Iowa State News, RadioIowa, BYU Radio, MarketWatch.

Inquistr:
https://www.inquisitr.com/4965961/benevolent-sexism-attractive-to-women-study-shows/

BigThink:
https://bigthink.com/robby-berman/study-finds-heterosexual-women-prefer-benevolently-sexist-men