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.
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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.
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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
21 Haziran 2019 Cuma
19 Haziran 2019 Çarşamba
14 Nisan 2019 Pazar
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.
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.
25 Şubat 2019 Pazartesi
https://www.youtube.com/watch?v=eg0jsXNxzLI&feature=share
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
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
3 Aralık 2018 Pazartesi
Sample regression and simple slopes table and Interesting Results Reporting for non-significant simple slopes for high honor-oriented men
https://www.sciencedirect.com/science/article/pii/S0191886916309485
O'Dea, C. J., Bueno, A. M. C., & Saucier, D. A. (2017). Fight or flight: Perceptions of men who confront versus ignore threats to themselves and others. Personality and individual differences, 104, 345-351.
O'Dea, C. J., Bueno, A. M. C., & Saucier, D. A. (2017). Fight or flight: Perceptions of men who confront versus ignore threats to themselves and others. Personality and individual differences, 104, 345-351.
We also examined whether the association between condition and manly and non-manly perceptions of the man in the vignette depended on participants' level of MHBS. For each of these models (manly or non-manly perceptions), a centered composite calculation of MHBS, condition (coded as chooses to walk away = 0, chooses to fight = 1), and the MHBS × condition product term carrying the interaction were entered as predictors in a regression analysis. We will discuss the manly and non-manly dependent variables separately in the following sections.
6.1. Manly perceptions
The regression model testing the effects of MHBS, condition, and their interaction on manly perceptions of the man in the vignette is presented in Table 2. There was a significant MHBS × condition interaction predicting manly perceptions of the man in the vignette. Specifically, there was a significant effect of condition projected at one standard deviation below the mean on MHBS such that men who chose to fight were perceived significantly less manly than men who chose to walk away. However, consistent with our hypotheses, as levels of MHBS increased, so did manly perceptions of the man who chose to fight, while manly perceptions of the man who chose to walk away declined. As such, there was no significant effect of condition on manly perceptions of the man in the vignette projected at one standard deviation above the mean on MHBS.
2 Aralık 2018 Pazar
Easy Research Idea: Honor Culture Endorsement and Hostile Attribution Bias
Vignettes are from these researchers:
Bailey, C. A., & Ostrov, J. M. (2008). Differentiating forms and functions of aggression in emerging adults: Associations with hostile attribution biases and normative beliefs. Journal of Youth and Adolescence, 37(6), 713-722.
Calvete, E., Orue, I., Gamez-Guadix, M., & López de Arroyabe, E. (2016). Social information processing in dating conflicts: Reciprocal relationships with dating aggression in a one-year prospective study. Journal of interpersonal violence, 31(7), 1159-1183.
Bailey, C. A., & Ostrov, J. M. (2008). Differentiating forms and functions of aggression in emerging adults: Associations with hostile attribution biases and normative beliefs. Journal of Youth and Adolescence, 37(6), 713-722.
Calvete, E., Orue, I., Gamez-Guadix, M., & López de Arroyabe, E. (2016). Social information processing in dating conflicts: Reciprocal relationships with dating aggression in a one-year prospective study. Journal of interpersonal violence, 31(7), 1159-1183.
30 Kasım 2018 Cuma
Instructions about how to save IRB approval and submission forms from ISU
IRB SUBMISSION FORM:
When you are inside the xForm, there should be a button at the bottom that says “more.” Clicking it should give you the option to create and download a pdf with or without attachments.
In case you do not know how to get to the xForm after it’s approved, here are more specific instructions:
- Locate the study you want to open from the list of your studies on your dashboard (the screen you see when you log in).
- Open the study by clicking the blue IRB ID.
- Once inside the study, locate the event (the continuing review and/or modification you want) and click the link.
· Events are listed in the fourth table down, after “study,” “study-site,” and “contacts.”
- Once inside the event, look to the left for a column entitled “Actions.” There should be a link called “xForms” with a number in parentheses behind it. Click that.
- A new window should open with a link that reads “IRB Application.” This link will open the completed form.
- At the bottom of the form, you should see a “More” button that will allow you to view the form as a PDF that you should then be able to download and print.
IRB APPROVAL LETTER:
Approval letters are documents generated by IRB Manager at the resolution of each event (e.g., initial application, modification, continuing review).
The “Attachments” field within every event has two sections:
1. general “attachments” (containing documents uploaded within the IRB Manager application)
2. “generated docs” (the approval letter)
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