Science topic

Personality Traits - Science topic

Explore the latest questions and answers in Personality Traits, and find Personality Traits experts.
Questions related to Personality Traits
  • asked a question related to Personality Traits
Question
1 answer
For a Meta-Analysis, we are looking for articles or unpublished data in which there is a correlation between:
- group creativity, measured by indicators such as number of ideas, originality, and usefulness of ideas, and
- personal factors such as personality traits, emotional intelligence, or cognitive factors (sense of self-efficacy, thinking style, motivation, need for cognition or closure).
If you only have raw data that have not yet been analyzed, we would be happy to help analyze it for inclusion. In such a case, please send us the dataset and a description of the key variables described above relevant for the analysis.
We are hoping to include as many studies as possible, so any additional data is greatly appreciated.
If you are interested in more information, we would be happy to answer any further questions and keep you posted on the project as we make progress and finalize the submission.
Relevant answer
Answer
مهتمة
  • asked a question related to Personality Traits
Question
16 answers
Hi all! I’m conducting a study where we test to see if our personalities affect how we each perform on certain tasks and react. This study involves an anagram task, and then will give you feedback on your performance. You will be asked to give your opinions on this feedback you received. And finally, you will be asked to fill out a short series of questionnaires! This will only take 20 minutes max to complete
The Ethics Committee has approved this study of Sheffield Hallam University. Please note: you need to be 18 or over to take part. I am in need of at least 180 participants please and thank you
Link below to take part!:
Relevant answer
A personality is unique and has different skills. All people do not have the same skills and all persons cannot with training reach the same skills. We tested this on
training to perform laparoscopy. I attach our paper:
  • asked a question related to Personality Traits
Question
49 answers
To Whom It May Concern,
To Whom So Ever Interested..
We are a research group from different countries (Palestine, Jordan, India, Malaysia, Germany, Turkey, UK, USA) who are interested in investigating personality traits as well mental disorders from different perspectives, biological, psychological, and socio-cultural domains.
For those who find themselves having the potential to collaborate in data collection (in some cases already we have a plenty enough bulk of raw data), surveying and reviewing the related literature reviews, writing per the APA style, analyzing, interpreting results and drawing conclusions, etc..
Please, send your statement letter of interest to: wael.abuhasan@aaup.edu, and kindly determine where you are most fitting to play a role in such a research project.
Sincerely yours,
Wael M. F. Abuhasan
Relevant answer
Answer
Interested
  • asked a question related to Personality Traits
Question
3 answers
Hello,
I have several IVs (6 facets of a personality trait) that are assumed to predict two different DVs. The DVs are measured with two different questionnaires (because there are two different constructs) at two different time points. I want to investigate if the 6 IVs predict DV1 (at time point 1) and DV2 (at time point 2). I could just use multiple regression analysis to measure each of them separately but without the time considered. Is there also another way to investigate how the IVs predict both DVs and if there is a relationship between the two DVs? A simple way would be to add a correlation between DV1 and DV2 to the multiple regression but I wonder if there is a more elegant solution to this.
Thanks in advance!
Relevant answer
Answer
Path analysis allows you to examine models with multiple DVs as well as (residual) relationships between DVs in the model. Path analysis can be done in programs for structural equation modeling such as Mplus, lavaan, or AMOS.
  • asked a question related to Personality Traits
Question
5 answers
Hi,
I'm currently conducting research to see how much personality traits contribute to vaccine hesitancy. The big five personality traits are my independent variables, and three antecedents of vaccine hesitancy are my dependent variables (Confidence, calculation, and collective responsibility).
I have been advised that total scale scores can be treated as interval data and that regression is appropriate. Should I run three different multiple regressions for each dependent variable and report them separately, or should I use a multivariate regression analysis?
I tried using multivariate regression in SPSS, but I wasn't sure if I was doing it right or if the same assumptions apply to multivariate as they do to multiple regression, and if so, how do I investigate these? (Collinearity, residual normality, linearity, homoscedasticity)
Any help would be greatly appreciated!
Relevant answer
Answer
Chelsea Stephens, The fact that you are working with multi-items scales (big five) requiring factor analysis and multiple dependent variables requiring simultaneous estimation, you should ideally use structural equation modelling (SEM) technique which outperforms both multivariate regression, manova and regression based on total/sum scores.
  • asked a question related to Personality Traits
Question
6 answers
The question is basic relation of human mind with war in history
Relevant answer
Answer
Poor strategy.
  • asked a question related to Personality Traits
Question
4 answers
I am looking for the personality traits of inventors, and their needs In the field of creativity.
  • asked a question related to Personality Traits
Question
2 answers
Can I run a moderation analysis, by using Process, for a model including 3 independent variables, 3 moderators (which influence the relation IV-DV for each IV), and 1 dependent variable?
my independent variables are goal orientation (performance, learning, and refusal) and moderator are personality traits, and independent variable are post-training score
Relevant answer
Excelente recomendación. Gracias
  • asked a question related to Personality Traits
Question
2 answers
Can I run a moderation analysis, by using Process, for a model including 3 independent variables, 3 moderators (which influence the relation IV-DV for each IV), and 1 dependent variable?
my independent variables are goal orientation (performance, learning, and refusal) and moderator are personality traits, and independent variable are post-training score
Relevant answer
Answer
Guy Curtis also i have 3 moderators so i run 9 analyses?
  • asked a question related to Personality Traits
Question
3 answers
Hello all!
I am currently working on my undergraduate dissertation project which uses the BFI scale to assess personality traits in students.
Would an expert in this field please be able to let me know if I am doing my scoring correctly (I am doing this manually without SPSS for now).
I have currently reversed the items as listed on the original BFI eg. Extraversion: 1, 6R, 11, 16, 21R, 26, 31R, 36.
I will then add these up for each participant eg. Extraversion: 5, 3, 4, 3, 4, 3, 4, 4 = 30
Is the next step to average this total?? eg. 30 / 8 = 3.75
Thankyou
  • asked a question related to Personality Traits
Question
2 answers
Dear Community,
I'd like to ask if you know any studies on the predictive validity of certain individual differences and/or personality traits as predictors for job performance. I'm interested in very specific occupational group (an this group only), that is the quality assurance specialist (software testers).
I struggle with finding such studies, and I believe this is due to the issue with key-words selection. If you happen to know any study from I/O psychology field (or any other similar field) on that matter, I'll be grateful for a recommendation.
Best regards,
Jaroslaw
Relevant answer
Answer
Jaroslaw Grobelny My first thought was in recruitment within Entreprenology we talk sometimes about the teachability index. But here I think you should look within the Big five theory. The attached article might give you some tips, General mental ability, personality, and job performance
  • asked a question related to Personality Traits
Question
1 answer
Hey everyone, I am looking for a comprehensive overview of all variables that the big five personality traits (OCEAN) have been correlated with. I know some isolated reviews for the big five and depression or academic success but I was wondering if there is one overview of all correlations reported in scientific publications?
Relevant answer
Answer
As this is of interest to me too, I have done a quick search on PsychINFO and Google Scholar and did not find anything on the first few pages. I think this may be too broad a scope for a single paper published within academic journals that typically have stringent page/word limits.
This may be a good opportunity for you to conduct a review of literature reviews (e.g., systematic reviews, scoping reviews, meta-analyses) to look at the different domains you are interested in investigating in association with the big five. I know that research on the big five ranges from educational psychology, occupational-industrial psychology, psychopathology, political science, cognitive psychology, and others... It may be useful for you to specify keywords for a literature search to find the types of studies you are most interested in.
As a final thought, although this may not have been done within peer-reviewed articles, it is possible that there are books on the Big 5 - Theory and Practice that have overviews of the different domains where it has been applied. This may be useful as a starting point.
  • asked a question related to Personality Traits
Question
3 answers
Im using the BFFM 50-item, likert scale to compare personality traits for online dating users and non-users, I'm unsure what kind of statistical analysis to use? These are my hypotheses:
Hypotheses 1: Non dating sites users score lower for openness, agreeableness, neuroticism, extraversion and higher for conscientiousness.
Hypotheses 2: Dating site users score higher for neuroticism, agreeableness, extraversion, openness and lower for conscientiousness.
Relevant answer
Answer
Stephen Joy, thank you!
  • asked a question related to Personality Traits
Question
12 answers
Is it possible that a person is both highly conscientious and highly open also? I conducted factor analysis on responses of personality traits namely conscientiousness and openness to experience and they came out to be as one factor.
Relevant answer
Answer
Openness to experience is theorized to result in high levels of creative behavior and conscientiousness is theorized to result in low levels of creative behavior when the situation allows for the manifestation of the trait influences.
  • asked a question related to Personality Traits
Question
9 answers
Anybody interested in a colaboration and co-authorship? We are looking for a person who can help with statistical analysis on the topic of personality and its relation to other variables. You should be familiar with analysis techniques and softwares. If of interest, please leave your email address. Thank you.
Relevant answer
Answer
Please have look on our(Eminent Biosciences (EMBS)) collaborations.. and let me know if interested to associate with us
Our recent publications In collaborations with industries and academia in India and world wide.
EMBS publication In association with Universidad Tecnológica Metropolitana, Santiago, Chile. Publication Link: https://pubmed.ncbi.nlm.nih.gov/33397265/
EMBS publication In association with Moscow State University , Russia. Publication Link: https://pubmed.ncbi.nlm.nih.gov/32967475/
EMBS publication In association with Icahn Institute of Genomics and Multiscale Biology,, Mount Sinai Health System, Manhattan, NY, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
EMBS publication In association with University of Missouri, St. Louis, MO, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30457050
EMBS publication In association with Virginia Commonwealth University, Richmond, Virginia, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with ICMR- NIN(National Institute of Nutrition), Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
EMBS publication In association with University of Minnesota Duluth, Duluth MN 55811 USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with University of Yaounde I, PO Box 812, Yaoundé, Cameroon. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
EMBS publication In association with Federal University of Paraíba, João Pessoa, PB, Brazil. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30693065
Eminent Biosciences(EMBS) and University of Yaoundé I, Yaoundé, Cameroon. Publication Link: https://pubmed.ncbi.nlm.nih.gov/31210847/
Eminent Biosciences(EMBS) and University of the Basque Country UPV/EHU, 48080, Leioa, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852204
Eminent Biosciences(EMBS) and King Saud University, Riyadh, Saudi Arabia. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and NIPER , Hyderabad, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and Alagappa University, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
Eminent Biosciences(EMBS) and Jawaharlal Nehru Technological University, Hyderabad , India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and C.S.I.R – CRISAT, Karaikudi, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237676
Eminent Biosciences(EMBS) and Karpagam academy of higher education, Eachinary, Coimbatore , Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Ballets Olaeta Kalea, 4, 48014 Bilbao, Bizkaia, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
Eminent Biosciences(EMBS) and Hospital for Genetic Diseases, Osmania University, Hyderabad - 500 016, Telangana, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and School of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Panangad-682 506, Cochin, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27964704
Eminent Biosciences(EMBS) and CODEWEL Nireekshana-ACET, Hyderabad, Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26770024
Eminent Biosciences(EMBS) and Bharathiyar University, Coimbatore-641046, Tamilnadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27919211
Eminent Biosciences(EMBS) and LPU University, Phagwara, Punjab, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/31030499
Eminent Biosciences(EMBS) and Department of Bioinformatics, Kerala University, Kerala. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and Gandhi Medical College and Osmania Medical College, Hyderabad 500 038, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27450915
Eminent Biosciences(EMBS) and National College (Affiliated to Bharathidasan University), Tiruchirapalli, 620 001 Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27266485
Eminent Biosciences(EMBS) and University of Calicut - 673635, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
Eminent Biosciences(EMBS) and NIPER, Hyderabad, India. ) Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and King George's Medical University, (Erstwhile C.S.M. Medical University), Lucknow-226 003, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579575
Eminent Biosciences(EMBS) and School of Chemical & Biotechnology, SASTRA University, Thanjavur, India Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579569
Eminent Biosciences(EMBS) and Safi center for scientific research, Malappuram, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Dept of Genetics, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25248957
EMBS publication In association with Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26229292
Sincerely,
Dr. Anuraj Nayarisseri
Principal Scientist & Director,
Eminent Biosciences.
Mob :+91 97522 95342
  • asked a question related to Personality Traits
Question
32 answers
Hello,
We are wondering if there is anybody who is interested in helping us discussing the results we wrote in the manuscript. In other words, you will be responsible for writting the disscusion part of our paper. Of couse you will be included as one of the coauthors. Please leave your email address if of interests.
Relevant answer
Answer
Please have look on our(Eminent Biosciences (EMBS)) collaborations.. and let me know if interested to associate with us
Our recent publications In collaborations with industries and academia in India and world wide.
EMBS publication In association with Universidad Tecnológica Metropolitana, Santiago, Chile. Publication Link: https://pubmed.ncbi.nlm.nih.gov/33397265/
EMBS publication In association with Moscow State University , Russia. Publication Link: https://pubmed.ncbi.nlm.nih.gov/32967475/
EMBS publication In association with Icahn Institute of Genomics and Multiscale Biology,, Mount Sinai Health System, Manhattan, NY, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
EMBS publication In association with University of Missouri, St. Louis, MO, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30457050
EMBS publication In association with Virginia Commonwealth University, Richmond, Virginia, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with ICMR- NIN(National Institute of Nutrition), Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
EMBS publication In association with University of Minnesota Duluth, Duluth MN 55811 USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with University of Yaounde I, PO Box 812, Yaoundé, Cameroon. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
EMBS publication In association with Federal University of Paraíba, João Pessoa, PB, Brazil. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30693065
Eminent Biosciences(EMBS) and University of Yaoundé I, Yaoundé, Cameroon. Publication Link: https://pubmed.ncbi.nlm.nih.gov/31210847/
Eminent Biosciences(EMBS) and University of the Basque Country UPV/EHU, 48080, Leioa, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852204
Eminent Biosciences(EMBS) and King Saud University, Riyadh, Saudi Arabia. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and NIPER , Hyderabad, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and Alagappa University, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
Eminent Biosciences(EMBS) and Jawaharlal Nehru Technological University, Hyderabad , India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and C.S.I.R – CRISAT, Karaikudi, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237676
Eminent Biosciences(EMBS) and Karpagam academy of higher education, Eachinary, Coimbatore , Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Ballets Olaeta Kalea, 4, 48014 Bilbao, Bizkaia, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
Eminent Biosciences(EMBS) and Hospital for Genetic Diseases, Osmania University, Hyderabad - 500 016, Telangana, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and School of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Panangad-682 506, Cochin, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27964704
Eminent Biosciences(EMBS) and CODEWEL Nireekshana-ACET, Hyderabad, Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26770024
Eminent Biosciences(EMBS) and Bharathiyar University, Coimbatore-641046, Tamilnadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27919211
Eminent Biosciences(EMBS) and LPU University, Phagwara, Punjab, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/31030499
Eminent Biosciences(EMBS) and Department of Bioinformatics, Kerala University, Kerala. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and Gandhi Medical College and Osmania Medical College, Hyderabad 500 038, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27450915
Eminent Biosciences(EMBS) and National College (Affiliated to Bharathidasan University), Tiruchirapalli, 620 001 Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27266485
Eminent Biosciences(EMBS) and University of Calicut - 673635, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
Eminent Biosciences(EMBS) and NIPER, Hyderabad, India. ) Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and King George's Medical University, (Erstwhile C.S.M. Medical University), Lucknow-226 003, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579575
Eminent Biosciences(EMBS) and School of Chemical & Biotechnology, SASTRA University, Thanjavur, India Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579569
Eminent Biosciences(EMBS) and Safi center for scientific research, Malappuram, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Dept of Genetics, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25248957
EMBS publication In association with Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26229292
Sincerely,
Dr. Anuraj Nayarisseri
Principal Scientist & Director,
Eminent Biosciences.
Mob :+91 97522 95342
  • asked a question related to Personality Traits
Question
3 answers
My research question is predicting whether personality traits (the Big 5) will predict loneliness.
I have a score from each participant about how they score overall in each personality trait.
Do I do a linear regression between each personality trait affecting loneliness separately? for example:
- regression analysis between extraversion (IV) and loneliness (DV)
- regression analysis between openness (IV) and loneliness (DV)
etc and do this for all 5 traits
OR do a multiple regression with all the IV's at the same time? for example:
- regression analysis between extraversion, openness, consciousness, agreeableness and neuroticism (IV's) and loneliness (DV)
thank you
Relevant answer
If you have the sums of openness and extra version then do them in the same
analysis.
  • asked a question related to Personality Traits
Question
3 answers
Hello,
We are looking for someone who is willing to help with reporting the stats of our project regarding age, gender, personality, and friendship. Please leave your email if of interests.
Best wishes,
Relevant answer
Answer
  • asked a question related to Personality Traits
Question
4 answers
Hi everyone,
I’d like to know if there is a way to compare dependent partial correlation coefficients.
I used partial correlations to test, in a single sample, whether three personality traits (X,Z, W) were associated with a series of variables (let’s just call them Y), controlling for 4 control variables + the other personality traits. So, when I tested the correlation between X and Y, I controlled for the 4 control variables + Y and Z. All measures are continuous.
I’d like to test whether the rXYis significantly different from rZY or rWY. I found this equation to compare dependent correlation coefficients:
tdifference =(rxy-rzy ) √(((n-3)(1+rxz))/(2(1-rxy2-rxz2-r_zy2+2rxy rxz rzy)))
However, I am not sure I can use it with partial correlations coefficients. And if I can use it with partial correlations, what should I use as the correlation between X and Z (rxz)? The zero-order correlation coefficient? Or the partial correlation one (controlling for the 4 control variables and the third personality trait)?
Thank you in advance for your help!!
  • asked a question related to Personality Traits
Question
18 answers
I am in design phase of conducting a systematic literature review (SLR) focusing on "personality" and internet usage(use of internet). Me and my colleague proposed two different search strings, based upon main and alternative search terms, and we are working to find the best solution in this regard. Moreover, our focus is on non-problematic use of internet. While we are yet to reach an agreement of best solution towards the search string, I thought to make use of collective wisdom from experienced researchers this forum. 
Which one of the following is the better string for conducting a SLR:
Option 1: (Personality OR “Personality Traits” OR “Personality Type”) AND (Internet OR “The Internet” OR Web OR Cyberspace)
And to remove studies related to problematic use of internet manually going through returned results.
Option 2: (personality OR "personality traits" OR "personality type") AND ("internet" OR "web") AND (use OR activities OR usage OR functions OR using) NOT (problematic OR excessive OR pathological OR addiction OR disorder)
Your comments/suggestions are of great value for us.
Thanks,
Ali 
Relevant answer
Answer
It is always a good idea to make the search strategy in conjunction with a librarian. Use a wide search strategy encompassing all major database and appropriate key words, MESH terms. I have attached an article for your reference. Hope this helps!
  • asked a question related to Personality Traits
Question
4 answers
Sandra Bem's famous Bem Sex Role Inventory has been used since the 1970s to profile masculine and feminine gender roles. Bem argued that those scoring above the median of a sample for BOTH masculinity and femininity are classified as Androgynous and that these are the paragons of mental health because they can adapt to the needs of diverse demands. By contrast, those scoring below the median for both masculinity and femininity are considered undifferentiated and at the highest risk of mental health problems. This is because they score below the social status quo for positive personality traits that predominate the behaviors and expressions of both sexes. So my question is: "who are undifferentiated people"? What characterize them? What contributes to this profile? What can we do to help them? Any thoughts and/or articles would be most appreciated!
Relevant answer
Answer
Sandra Bem introduced in 1974 the idea that gender roles do not necessarily have to be one or the other, and that the person can be highly feminine, highly masculine or neither, thus introducing the concept of androgynous or undifferentiated personalities; So, according to the Bem Sex Roles Inventory (BSRI) individuals can be classified as male, female, androgynous (both male and female) and undifferentiated (neither predominantly male nor predominantly female).
This inventory consists of 60 adjectives of which 20 are stereotypically masculine, 20 are feminine and another 20 do not have gender typification.
  • asked a question related to Personality Traits
Question
5 answers
I have multiple IVs (4 personality traits, age, gender and frequency use of social media and my DV is whether participants contributed to the circulation of fake news online. I had 3 news posts in the questionnaire (1 real news story and 2 fake news stories).
The participants answered on a scale of 1-5 and for each of the 3 posts, they were asked 'are you likely to like or comment, are you likely to discuss with others online, are you likely to share.
I then combined the answers into 1 variable labelled 'engagement'. So I now have an 'engagement' variable for each of the 3 news posts. This means I now have 3 DV's.
I am really unsure which analysis to run for this data, as I can't find how to analyse the effect of the IV's on each DV and then see if there were differences between each DV.
Any help on this would be really appreciated as I'm at a loss. Thanks in advance!
Relevant answer
Answer
I will add sample size is always an issue in all research, and canonical correlation probably requires a larger sample than simpler statistical methods. The point is--it depends on many factors! You could run several regressions, but that has a downside as well.
  • asked a question related to Personality Traits
Question
3 answers
I am running 3 separate multiple regression analyses to see the differences in how much variance personality traits account for in subjective well being over time. I will then report the r-squared values for each analysis and if they are different. Is this ok?
Relevant answer
Answer
At first glance, what you say you have done IS OK; but you will have to carefully analyze the results thus obtained in order to explain why and interpret them. I wish you good luck!
  • asked a question related to Personality Traits
Question
6 answers
Currently, I am doing an academic research and want a data set in order to use it in my deep learning algorithms. In order to understand well what I am "asking" for, below there is an example.
Part A                                      |        Part B
-----------------------------------------------------------------------------
Pressure  = 0.7 (Heavy)           |
Slant         = 0.2 (Left)                |        Personality Trait
Baseline  = 0.7 (Ascending)    |
Relevant answer
Answer
Google
  • asked a question related to Personality Traits
Question
13 answers
Greetings,
I plan to use the NEO-PI3 to measure Opennes to experience, but I'm not sure if I can only use the scales of this trait while discarding the others, in order to shorten my full questionnaire...
Is it a psychometrically valid use of the tool?
It's important to me to get a round and detailed look of the concept of Openness to experience, including it's aspects, such as aesthetics and ideas. If I can't use the NEO for that, can I use another questionnaire?
Thanks
Relevant answer
Answer
Not sure there is a PDF file available. Check out the aforementioned IPIP website (https://ipip.ori.org/newMultipleconstructs.htm) and you will have free access to the Openness items you are looking for.
  • asked a question related to Personality Traits
Question
12 answers
I have applied a personality trait questionnaire to the students, which follows the big five theory. Now, I have the score for the five traits of each student in the class. I am trying to group the students according to their strongest personality traits. Does anyone know whether there is a standard metric or procedure I could use to do it? I am also looking for references who have done that to base my works on formal definitions. Any help is welcome. Thank you all in advance.
Relevant answer
Answer
Hi Felipe as stated in previous comments each of the BIG5 contribute to learning styles in different ways. However, some are more important in some situations such as neuroticism in performance situations. Thanks!
  • asked a question related to Personality Traits
Question
13 answers
 I would appreciate any information about the research of personality using the objective, behavioral tests as measures of personality traits or dimensions.
Since Cattell's work on so called T-data (personality data collected by objective tests) this approach to measuring personality has been almost completely abandoned. Nevertheless, the data obtained by fully objective measures can serve as important basis in research of personality structure, which is not underlying the biases of prevalent self-report or other-report measures.
The links for more recent published empirical results are especially desired.
Relevant answer
Answer
All that exists on:
-The "16PF" in all its versions; obviously better the last one (16PF-5).
-The "BIG FIVER".
-The "EPI" of Eysenck.
-The "MMPI-2", in its Sub Personality Scales, not the "Clinics"
  • asked a question related to Personality Traits
Question
6 answers
Most studies use the NEO-PI-R- 240 item scale by Costa & McCrae (1992) OR NEO-FFI- 60 item scale by Costa & McCrae (2003). Despite being the literature has many other shorter and new scales. The newest and shortest one is the Ten Item Personality Inventory (TIPI) by Gosling, Rentflow & Swann (2003). I am looking for an explanation on why using the NEO scale and why not using other scales like TIPI.
Relevant answer
Answer
The EVALART 5 Factors Test is an inventory that evaluates the 5 great personality factors: Extraversion, Kindness, Responsibility, Emotional Stability, and Openness to Experience, and is based on the studies of Tupes and Christal (1961) and Norman (1963), who based on the Lexical model of personality, raised the 5 basic characteristics that define personality. The results offer a numerical report on the level that each candidate presents in the characteristics, as well as an exhaustive description of the behaviors , motivations and trends of the same.
The test is sufficiently substantiated at the research level, so it is widely validated when evaluating personality. It also offers a User Manual, which guides the user when carrying out the selection and recruitment process, as it informs about the typical behavioral and emotional patterns that can be found in the different Organizational and Company roles.
  • asked a question related to Personality Traits
Question
103 answers
Human interactions in the context of Gen Z, what is your opinion?
Relevant answer
Answer
… It's easy to assume Gen Z workers will be just an extension of the Millenials, but studies show that's not really the case …Mathur, M., & Hameed, S. (2016, September). A study on behavioural competencies of the Z generation. In International Conference on Management and Information Systems (pp. 63-71).
  • asked a question related to Personality Traits
Question
6 answers
Good day, everyone!
I'm doing a research on Personality Traits, Reading Habit, and Writing Achievement. My data were collected using Likert-scale questionnaires (for personality traits and reading habit) and a writing test. My purpose is to find the correlation between personality traits and reading habit, personality traits and writing, and reading habit and writing.
Does anyone know what kind of statistical analysis I should use? Thank you, have a nice day!
Relevant answer
Answer
Siti Khairunnisa, for people to be able to help you effectively, I think you need to provide information about how you were measuring personality and reading habits. For example, did you use multi-item scales for each of those variables, and, if so, were there subscales on those scales?
Also, what did scores on the writing test look like? Were they pass/fail, or percentages, or what?
  • asked a question related to Personality Traits
Question
8 answers
Hello,
My friend is seeking an collaborator in psychology-related statistics. Current projects including personality traits and their relations to other variables (e.g., age). You will be responsible for doing data analysis for potential publications. Preferbably you should have some knowledge about statistics and is fimaliar with software that is used to do analysis (e.g., MATLAB, R, SPSS). 10 hours a week is required. Leave your email address if interested.
Relevant answer
Answer
Psychological Councilling data of pateints can be analysed statistically - https://www.ncbi.nlm.nih.gov/books/NBK425420/
  • asked a question related to Personality Traits
Question
6 answers
Hello,
We are looking for experts in psychology-related statistics who can provide advice in data analysis and modeling. We have a couple projects avaliables. You will be listed as one of the co-authors depending on yor contribution. Leave your email addrss if you are intrerested.
Relevant answer
Answer
Many: In fact, the history of Statistics has been closely linked to that of Psychology in order to meet the needs of Psychometry ... in such a framework, and without being exhaustive, we could cite -among many others-: Francis Galton - Psychologist "avant la lettre", considered the father of Differential Psychology and the first Intelligence Tests, K. Pearson, William Gosset (Student), R. Fisher and E. Pearson (son of K. Pearson); The latter worked in collaboration with the Polish mathematician Jerzy Neyman, the first Pearson, in addition to producing the formula for calculating the correlation, is the creator of the "chi" or "Chi square" test. Gosset created the T-test in its original form, Fisher further developed such a test by baptizing it as “the Student's T”, because the terms of the employment contract between Gosset and the Guinness brewery in Dublin could only sign with his real name the documents prepared for She thus used the pseudonym "Student" to sign her articles on statistics. In addition to developing the famous Student's T, Fisher created the analysis of variance, which was later christened the F test, in her honor; Charles Spearman, a psychologist who made important contributions to psychology and statistics, developing Factor Analysis and the Correlation that bears his name; Louis Leon Thurstone; Amun; Yela and many others.
  • asked a question related to Personality Traits
Question
7 answers
Hello,
My friend is seeking an collaborator in psychology-related statistics. Current projects including personality traits and their relations to other variables (e.g., age). You will be responsible for doing data analysis for potential publications. Preferbably you should have some knowledge about statistics and is fimaliar with software that is used to do analysis (e.g., MATLAB, R, SPSS). 10 hours a week is required. Leave your email address if interested.
Relevant answer
Answer
  • asked a question related to Personality Traits
Question
3 answers
My research is aiming to find out how extraversion and neuroticism personality traits are related to engaging with proactive social behavior (when individuals are forced to work from home due to Covid-19 pandemic) in regard to low or high social connectedness, as well as low or high perceived professional isolation.
I ask kindly everybody who faced the situation of shifting to remote work because of the pandemic to fill out my survey here: https://hwsml.eu.qualtrics.com/Q/EditSection/Blocks?ContextSurveyID=SV_4Mk3a5Ra3OOYqbz
Thanks in advance,
Dobrina
Relevant answer
Answer
Hello Dobrina, I am a scientific researcher here at ResearchGate and find myself unable to access your survey request? Perhaps there may be some "trick" to do so but for some reason your screening tool is not recognizing my email/or gmail? Thank you John.
  • asked a question related to Personality Traits
Question
4 answers
science fiction, fantacy, animation series and movies are watched by children and a specific group of adults. does it signify any relationship with the personality type/ personality of the adult watching it?
Relevant answer
Answer
In my opinion, this is too far-reaching thesis. Science fiction novels, short stories, movies and series have a lot of fans. Are there studies that confirm that fans of science fiction novels, short stories, movies and series have significantly more people than the general population who exhibit personality disorders or other mental health conditions? I have not encountered the results of scientific research that could confirm the occurrence of this type of correlation.
Regards,
Dariusz Prokopowicz
  • asked a question related to Personality Traits
Question
4 answers
I am writing a thesis rationale about the influence of personality traits on employee engagement and turnover intentions and would like to know whether collecting absenteeism and turnover data from the selected organisation is necessary, in conjunction with collecting data from a survey design. If so, how does one go about analysing those reports?
Relevant answer
Answer
Yes- looking at other published studies is a good idea.
  • asked a question related to Personality Traits
Question
3 answers
I collected data from 35 participants. Each participant completed the Big Five personality test and took part in a simple visual search task. The aim of the study is to investigate whether there is a relationship between the Big Five personality traits and reaction time in the visual search task. Every participant has a score for each personality trait (there are 5 personality traits) and four scores for reaction time (measured in milliseconds). The reason why there are four scores for reaction time is because the visual search task involved finding the letter T among distractors. There were 5, 10, 15 and 20 distractors hence the four scores.
Overall, I have 5 personality scores and 4 reaction time scores for all 35 participants. I'm not sure how to handle the data since I don't have much experience. Which statistical test would be best to test whether there's a relationship between the IV (Personality scores) and DV (reaction time on visual search task)? Thank you.
Relevant answer
Answer
Thank you for your help!
  • asked a question related to Personality Traits
Question
3 answers
I'm a student researcher from the Philippines and I'm looking for a free manual of the Torrance Test for my research about the relationship between personality traits and creativity. I kind of need it immediately. I'm hoping someone can help me.
Relevant answer
Answer
What you are asking for is illegal; the Torrance Tests (Verbal and Figural alike) are under copyright and sold commercially by Scholastic Testing Service. Aside from engaging in criminal activity you have two options:
(1) Contact STS to request permission to use their materials for your research
(2) Use other divergent thinking measures that are not commercial products
There is a lot of creativity research out there, and most of the studies do not use the Torrance Tests. I would recommend this course of action, since STS isn't that supportive of student research and you say you are in a hurry.
  • asked a question related to Personality Traits
Question
6 answers
Hi all, I'm not an very statistically minded so am wondering if anyone who is more familiar with statistical analysis would be able to suggest a statistical analysis to suit this study that I can run on SPSS. My hypothesis is that a medium amount of stressful life events will predict psychological flexibility. I will have 3 categories of high, medium, and low stressful life events and 2 categories of psychological flexibility and psychological inflexibility.
I will also be controlling for certain personality traits in subsequent hypotheses. I believe this may require hierarchical regression, but will need to establish the first hypothesis first.
If anyone has any ideas or even if you aren't sure but have some thoughts on it I would love to hear.
If you do have a statistical analysis you believe is suitable please explain why you think it would work as I'd really like to understand more about this.
Thank you!
Relevant answer
Answer
A general advice: avoid categorization of continuous variables, because everytime you do this you will loose information in the process. I know that sometimes it can not be avoided, but you should keepthis advice in mind.
If you choose to use the binary DV categorizing responses as beeing flexible or unflexibe a logistic regression should be appropriate.
  • asked a question related to Personality Traits
Question
4 answers
I'm going to investigate whether personality traits can affect performance on a visual search task. The independent variable is personality (based on participants' answers from the Big Five Inventory questionnaire). The dependent variable is reaction time (from the visual search task). I want to find out whether personality traits (openness, conscientiousness, extraversion, agreeableness, neuroticism) have an influence on people's performance on a visual search task. I want to see whether there's a relationship between the variables.
What statistical test should I use?
Thank you
Relevant answer
Answer
It's standard practice to use multiple regression when using the Big 5 personality traits to predict a behavior or performance. Your five input variables (the IVs) will be the 5 personality traits. Your DV will be reaction time.
Here are some simple videos of how to do this on Excel:
  • asked a question related to Personality Traits
Question
15 answers
I am thinking of looking into understanding the personality makeup of individuals who are more accepting towards others of different races, religion, culture. Will appreciate if anyone can recommend a good scale that specifically measures acceptance of differing opinions, worldviews of perceived "outgroups". Thanks.
Relevant answer
Answer
Follow the guidelines and lines established, in such an important subject, by Adorno et al. in his famous "F Scale" on the "Authoritarian Personality", by Max Horkheimer, sociologist and psychologist, known for his work on so-called critical theory as a member of the Frankfurt School of social research, for the "D Scale" on concept of Dogmatism by Milton Rokeach and Fred N. Kerlinger, by Henri Tajfel and his pioneering work on the cognitive aspects of prejudice and Social Identity Theory ... and many others ... myself, along with my Team -without eagerness of protagonism or any petulance, if not only for illustrative purposes - I have several contributions about prejudices, stereotypes, religious intransigence, etc here in "RG" and we have patents on the "R Scale", on Religiosity, the "S Scale ", on prejudices towards AIDS, the" C Scale ", on Attitudes towards human cloning, etc.
  • asked a question related to Personality Traits
Question
3 answers
I have been advised to run a MANOVA for the data I have collected for my thesis. In trying to do this, I have encountered some issues.
I am analyzing 4 IVs: Personality trait X, split into two levels (high and low), writing type (narrative and informational), emotional content (positive and negative) and gender (male, female and nonbinary). All IVs are between subjects. I have two scale DVs. I have been trying to run a multivariate analysis. However, each time I do, the output shows error: post-hoc tests are not performed for *insert variable* because there are fewer than three groups.
I am really not sure what to do, and would appreciate any advice on this matter. I am wondering if I should be using a different type of analysis instead of Multivariate? Additionally, my output is not displaying any analysis for the "informational" groups, likely because they were measured on only one of the DV's and not the other. I am confused about how to conduct this analysis.
Relevant answer
Answer
Stephen Thomas Osika It's a typical error when your IV has less than 3 groups or dimensions. So, you cannot obtain the comparison results for IVs with 2 dimensions. As far as I know, you should use syntax in order to handle with this error. In Multivariate section, you click on "paste" after chosing everything you want to see in results.
In the syntax page, you'll see some commands that start with /emmeans incluing your IVs. Consider that your IVs are X1 and X2 with 2 dimensions and it is written /emmeans=tables (X1*X2). All you do is to add COMPARE(X1 or X2, you choose this what kind of comparison you would like) ADJ(LSD) in the end of this line. Afterwards, you run the analysis and probably see the comparison results of IVs with 2 dimensions.
  • asked a question related to Personality Traits
Question
4 answers
Hello everyone:
What does it mean when a variable is significant in one step but then in the next step it's no longer significant? For example, in this article (https://cyberleninka.org/article/n/1102972.pdf) neuroticism is a significant predictor of well-being in the first step when the Big Five personality traits are introduced, but in the second step neuroticism is no longer a significant predictor when new variables are added. The authors in the discussion seem to interpret step 1 and step 2 of the model independently (concluding that neuroticism is a predictor of well-being even though it is not in the last step of the model). Would this be an acceptable way to interpret a hierarchical regression?
Thank you!
Relevant answer
Answer
If I understood your question correctly, interpretation would be that in the model where neuroticism stops being significant, implies that whatever variables were introduced, they accounted for most of the variance (or at least the variance that neuroticism had previously accounted for) in the DV. This would suggest that these 2 new variables are more important in their relationship to the DV then neuroticism alone. More analysis would need to be done to know for sure (SEM for example would give direct and indirect effects of variables).
  • asked a question related to Personality Traits
Question
8 answers
Over the last few month I am surprised that whether their is any relation of personality traits with their learning style? Their are so much of research available on this aspect but I am not reaching to conclusion as research points out learning style impact on academic achievement and personality traits impact on academic achievement but hardly any conclusive research on learning style relation with personality traits.
Secondly, which inventory (Questionnaire) is best to measure learning styles & personality traits?
Relevant answer
Answer
Thanks Howaida Shamboul , Actually i am looking for students personality traits and Learning styles.
  • asked a question related to Personality Traits
Question
6 answers
Hello everyone.
I am looking at conducting my dissertation research around what influences an individual's pro-environmental behavious. From looking at recent research, including meta-analyses, I have decided to look at the effects of personality traits and environmental motives on an individual's pro-environmental behaviours. I can easily find the Big Five scale to measure personality however I am struggling to find the following:
-Environmental Motive Scale (EMS) - recognised as one of the most effective scales to look into this but I cannot find it anywhere;
-The best scale to measure pro-environmental behaviours.
Any help would be greatly appreciated, thank you so much :)
Relevant answer
Answer
  • asked a question related to Personality Traits
Question
3 answers
Dear All,
I would like to write up a hypothetical experiment where I would need to manipulate participants perceptions of the following personality traits:
Faithful, Conscientious, Trustworthy, Agreeableness, Openness, Feminine.
I have previously read about Greitemeyers status manipulation and I was hoping to find something similar for personality traits. I would be very happy for suggestions of, or references to, a similar manipualtion.
Kind Regards,
Anna
Relevant answer
Answer
How about brainwashing? Or charisma? Or apathy?
  • asked a question related to Personality Traits
Question
2 answers
I am struggling with what analysis to use for my data, I am currently looking at the effect of the 5 different personality traits (independents) on overall psychological well-being (dependent) with both being continuous variables. My sample size is quite small at 73. I have looked at normality, with neuroticism and overall psychological well not being not normally distributed.
I have done a pearsons correlation test finding every personality trait apart from conscientiousness to have a significant correlation with PWB (p<0.05). Then from this, I did a multiple regression analysis, but then the significance of all the traits is completely different to findings from the correlation, (e.g. extraversion and neuroticism had sig values of over 0.2, extraversion had a sig of 0.8)
How do I interpret this, am I doing the right analysis? data is not my strong point!
Relevant answer
Answer
The significance of regression coefficients can be very different from the significance of particular correlations with dependent variable. This is usually due to the substantial correlations between independents (multicollinearity). In regression analysis, the influence of predictors is partialized, so the effect of each predictor variable is genuine with taking away the effects of other predictors in the model. For the predicting purposes, only regression coefficient should be considered. The small sample size is certainly affecting the generalizability of your results.
Regards,
Janek Musek
  • asked a question related to Personality Traits
Question
2 answers
I'm looking for meta analyses or reviews, summarizing which knowledge, skills, abilities and other characteristics (KSAOs, especially personality traits) are most frequently researched in scientific papers. Thanks
Relevant answer
Answer
Leaders behaviour, Management Styles by different leaders within their group.
  • asked a question related to Personality Traits
Question
5 answers
I have to write the theoretical framework for the course project regarding the relationships of personality traits, optimism and somatic symptoms disorder? Can anybody guide me that which which theory will relates?
Relevant answer
  • asked a question related to Personality Traits
Question
3 answers
Hi ,
We are investigation whether Syaesthesia score across has a significant difference across the four groups av individuals (male/female respective high/low in opennennss to experience personality traits). This is a very small sample size just in order to try the process and we needed to exclude a part of sample where synaesthesia test has not been valid which has result that now we have only 2 participants left in one of our four groups.
My question is if it is technically possible to run a ANOVA one-way in this case? Will ANOVA accept only 2 participants in one of 4 groups?
Thank you in advance!
Relevant answer
Answer
I think it is possible, because with two cases there should be some variance within the cell. But you should not do it. The results will be far too unstable for anyone to believe that they might generalize.
I would suggest giving up on the 2x2 ANOVA and just running two t-tests, one by sex and one by openness. Or, in the latter case, just correlating your results with openness scores.
It is sad that so many of your case protocols were invalid. Is this something you can fix? Or can you gather more participants? Because you seem to have an interesting idea and it would be a shame not to give it a real evaluation.
  • asked a question related to Personality Traits
Question
10 answers
I am in need of a dataset that features stream-of-consciousness essays/texts for a user and his/her Big-5 personality score. Right now I have the Pennebaker and King (1999) dataset, from http://mypersonality.org, which has 2400 instances and binary value for each five of the big five personality trait. Is there any larger or extended version of the dataset available ?
Relevant answer
  • asked a question related to Personality Traits
Question
35 answers
The literature regarding gender and the distribution of personality traits ( Big five personality traits model as a reference,; McCrae & Costa) are pretty clear. Women score higher on traits such as agreeableness and openness for example. There are some examples in the literature regarding why there is a difference between men and women in terms of personality traits. However how does sociological factors such as the influence asserted by the individuals belonging to social group, ethnic group, culture etc. Can we say that women across the spectrum are more agreeable or open and men are less agreeable according the the big five personality traits model (McCrae & Costa 1985 etc) or are there other markers that also influence out traits...can it be that in some cultures women are less agreeable than men for example or do you think the big five model and the distribution of traits in terms of a gender perspective is universal? Are there any identifiable research gaps in your view? Best wishes Henrik
Relevant answer
Answer
Personality variations between men and women have a more heritability and socio-cultural basis than gender in particular. Cultural changes are very long-term, therefore the dynamics of personality variations are unhurried and steady.
Among four recent twin studies, the mean percentage for heritability was calculated for each personality and it was concluded that heritability influenced the five factors broadly. The self-report measures were as follows: openness to experience was estimated to have a 57% genetic influence, extra-version 54%, conscientiousness 49%, neuroticism 48%, and agreeableness 42%.
Refer to the study below:
Bouchard TJ, McGue M (January 2003). "Genetic and environmental influences on human psychological differences". Journal of Neurobiology. 54 (1): 4–45. doi:10.1002/neu.10160.
Also, differences in the magnitude of sex differences between more or less developed world regions were due to differences between men, not women, in these respective regions. That is, men in highly developed world regions were less neurotic, extra-vert, conscientious and agreeable compared to men in less developed world regions. Women, on the other hand tended not to differ in personality traits across regions.
Refer to the study below:
Schmitt DP, Realo A, Voracek M, Allik J (January 2008). "Why can't a man be more like a woman? Sex differences in Big Five personality traits across 55 cultures". Journal of Personality and Social Psychology. 94 (1): 168–182. doi:10.1037/0022-3514.94.1.168.
  • asked a question related to Personality Traits
Question
5 answers
H1 - It is hypothesised that individuals with poorer mental health will be associated with increased offending behaviours.
H2 It is further hypothesised that Dark triad traits will moderate the relationship between mental health and offending behaviours.
Can someone please tell me what the IV/DV are for each hypothesis.
Relevant answer
Answer
Your IV is the mental health of individuals.
Your DV is the offending behaviors of each individuals.
Your first hypothesis says that there is a negative relationship between the two.
Your second hypothesis says that the dark triad traits of the individual moderate (that is, change) the relationship.
  • asked a question related to Personality Traits
Question
3 answers
Hi there I am seeking some help at the moment with analysing my dissertation data.
I am investigating the effect of personality traits on psychological well being and physical activity levels in office workers.
I have done psychological well being as an overall rating as a continuous variable. With a Pearson’s correlation with the Big Five Personality traits.
Physical activity however is ordinal, low-moderate. So I cannot do correlations?
I would ideally like to analyse PA and PWB separately with their relationship to the traits?
Relevant answer
Use multivariate regression analysis
  • asked a question related to Personality Traits
Question
13 answers
The big five personality trait model ( McCrae & Costa) describes 5 bipolar dimensions of personality. The model received some criticism but is still generally accepted and perhaps it is the only descriptive model of personality that is "widely" accepted. What do you think are the strengths and weaknesses of this model? Is it complete or not? If not, what is missing?
Best wishes Henrik
Relevant answer
Dear Dr.Samah Zahran,
Please, add money to your greatest assessment for personality perspective..
  • asked a question related to Personality Traits
Question
3 answers
I am doing my study on the employees working in private sector banks with a sample size of 300. I wants to test moderating effect of personality traits on the relationship between technostress creators and job outcomes, in correlation analysis i found that, only one dependent variable is significantly correlated, now should run regression analysis with all dependent variable or only one variable which is correlated?
Relevant answer
Answer
For your moderation analyses it is not necessary that the predictor and outcome variables are correlated. The reason for is that, for example, a positive relationship with an outcome may exist under the high moderator valuue, while a negative relationship may exist when the moderating variable has a low level (simple slopes). So if you ignore the moderation, you find a zero relationship.
  • asked a question related to Personality Traits
Question
3 answers
Hello everyone,
Currently I'm conducting a systematic review and meta analysis of Attachment and Personality. I have 15 different comparisons between the different attachment styles (3) and personality traits (5).
Does anyone have any suggestion how to write the results section presenting so much data?(i.e. what to write on the text? what to present as forest/funnel plots etc.)
I'm quite desperate and drowning in data and would highly appreciate any help I could find (if you could refer me to similar articles that could be great).
Thank you everyone
Relevant answer
Answer
It would be better if the dependent variable is one and you could study all the bivariate relationship between the indepennt variables and dependent variable
  • asked a question related to Personality Traits
Question
10 answers
i am planing to conduct an experimental research on advertising effectiveness. i am a bit confuse that whether i should go for within effect or between effect experimental design? the experiment consist of six different manipulation type in advertising and its effect on two personality trait.
Relevant answer
Answer
Abdelkader Mohamed Abdelkader Elsayed Sir i am thanking of conducting an experiment for examining the difference in six different type of advertisement on two types of personality. More simply there are six different types whose influence will be examined on two different types of personalities. Now which experimental design will be better option for investigating such type of relationship?
  • asked a question related to Personality Traits
Question
6 answers
Some recent research has established this difference is it useful to be aware of this, in the study and treatment of patients?
Relevant answer
Answer
In our conceptual model of alexithymia we introduced in 2017 (the attention-appraisal model of alexithymia) we used a cognitive-framework to discuss how people's overall level of alexithymia likely reflects two main sources of variance: ability deficit alexithymia (i.e., the developmental level of the emotion schemas, or cognitive structures, that people use to process their emotions) and avoidance alexithymia (i.e., the extent to which people are avoiding focusing on their emotions as an emotion regulation strategy). Both these can exist in combination, and there is growing evidence from experimental and correlational studies supporting the role of both ability deficits and avoidant defences in alexithymic presentations. From this perspective, in some cases of high alexithymia it may be mostly ability deficits, in others mostly avoidant defences, and in others a more even combination. We think this conceptualisation helps to explain study findings showing that alexithymia levels can often increase or fluctuate during periods of distress or mental health symptoms (i.e., increased avoidance alexithymia to try to cope with negative affect), whilst still showing an underlying level of relative stability (i.e., reflecting the underlying developmental level of one's emotion schemas).
Conceptually, we think ability deficits and avoidant defences in high alexithymia might both be targeted by interventions that guide patients in focusing on the most pertinent aspects of an emotional response, and linking the cognitive experiences, behaviours, physiological responses, triggering events, and labels associated with that emotion. The aim being to develop a patient's emotion schemas and reduce experiential avoidance of emotions. There is some recent evidence, for example, that mindfulness activities could be quite helpful in reducing alexithymia levels (e.g., Edwards, Shivaji, & Wupperman, 2018), and therapy approaches which specifically target emotional awareness and regulation skills may be quite relevant in this respect (e.g., Dialectical Behaviour Therapy, or the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders).
It might be that, in cases where high alexithymia is due primarily to ingrained or longstanding deficits in the developmental level of people's emotion schemas, that addressing this might be more difficult or require longer time periods (as compared to cases where emotion schemas are well developed, and the emotion processing difficulties are due primarily to high usage of avoidant emotion regulation strategies). However, I think this is certainly an area where we need more research, looking at how different profiles of alexithymia may respond to different types of targeted treatment approaches.
We discuss these issues in some more detail in this paper:
  • asked a question related to Personality Traits
Question
4 answers
Some motives/strategies (e.g. affiliation, achievement, power) are assumed to be stable personality traits and strategies to attain rank in social groups. Also, the Dark Triad or the Big 5 are assumed to be kind of stable. However, does the motives/strategies influence/define and come before Personality (e.g. Dark Triad or Big 5) or is the other way around? Also, are motives more stable personality traits compared to DT, and the Big 5? What do you think?
What do you think?
Relevant answer
Answer
Motivation is not a stable state, characteristic of the individual and independent of the environment. Motivation is an active process. Apart from the stimuli specific to a situation, motivation is thus attributed to stable traits which are anchored in the personality and which are discernible between individuals beyond the situations and even which benefit to a certain extent from temporal stability.
This vision, in terms of stable dispositions can, of course, refer to the needs, instincts or emotions that are developed by many motivational theories.
  • asked a question related to Personality Traits
Question
8 answers
Level of openness:
Level of Ambivalence
Motivation for change
Level of efficacy
Should you be willing to take part in the validation of a questionnaire to measure readiness, Please email be on svc@usb.ac.za
Relevant answer
Answer
- Has a growth mindset (Carol Dweck), so believes they can change and grow
- Thinks it's worth making the change, to avoid pain (as Noreen suggests above) and achieve worthwhile gain. See Burkhard-Harris Change Equation (D x V x F > R)
- Ready to ask for support eg from line manager, and will respond to their reinforcement messages for change
  • asked a question related to Personality Traits
Question
5 answers
I've found quite a few scales for vicarious and personal embarassibility as a personality trait so far (i. e. Kelly & Jones, 1997; Maltby & Day, 2000; Uysal et al., 2014...). As I'd like to have a larger sample rate specific contents on their capability to evoke a state of embarassment, I was wondering if there was a good instrument for this specific task. Your response is greatly appreciated.
Relevant answer
Answer
Summary
The Reliability and Validity of Vicarious Embarrassment Scale in An American Sample
İrem Metin Orta Ahmet Uysal Elif Helvacı Atılım University Middle East Technical University Başkent University Gülçin Akbaş Jennifer L. Bryan Middle East Technical University Houston University
Embarrassment is an unpleasant emotion experienced when individuals violate social norms and expectations. Embarrassed individuals believe that their social image is damaged in the eyes of others, and these individuals may need social approval for restoring their images (Sabini, Siepmann, Stein, & Meyerowitz, 2000; Tangney, Miller, Flicker, & Barlow, 1996). For instance, they may engage in prosocial behaviors (Modigliani, 1971). In addition, observers may feel trust, liking, and forgiveness toward embarrassed individuals (Keltner & Anderson, 2000; Miller, 1996) and perform kind, supportive, and empathic behaviors (Metts & Cupach, 1989). Recent studies suggest that individuals may also feel embarrassed after witnessing embarrassing behaviors of others (Miller, 1987; Krach et al., 2011; Uysal, Akbaş, Helvacı, & Metin, 2014). For instance, watching an embarrassing experience of someone on TV may lead to feelings of discomfort and embarrassment in the observers. This emotional response is known as empathic embarrassment (EE; Miller, 1987) or vicarious embarrassment (VE; Krach et al., 2011). Although both concepts connote feelings of embarrassment in response to others’ wrongdoings, theoretical and empirical research mentioned below support the distinction between these two concepts. Research shows that observers may empathize with embarrassed individuals, take their perspective, and as a result feel embarrassed (Hawk, Fischer, & Van Kleef, 2011). However, the observers may also feel embarrassed even in situations where the actor does not show any sign of embarrassment (Hawk et al., 2011; Krach et al., 2011; Miller, 1987). Recent studies revealed that this feeling is independent from empathy and perspective taking (Uysal et al., 2014). Besides, research suggests that neural mechanism for EE and VE are different (Paulus, Müller-Pinzler, Westermann, & Krach, 2013). Therefore, we think that embarrassment in response to the behaviors of others may not be completely due to empathic responding, and it is more appropriate to call this emotion as “vicarious embarrassment”. The previous study shows that VE is positively associated with susceptibility to embarrassment, empathy, perspective-taking, and fear of negative evaluation, while it is negatively associated with self-esteem in a Turkish sample (Uysal et al., 2014). The present study, in particular, examines the reliability and validity of the Vicarious Embarrassment Scale (VES) developed by Uysal et al. (2014) along with related variables in an American sample. Variables Related with Vicarious Embarrassment EE studies focused on the role of empathy and perspective taking, and revealed significant positive associations between EE and these variables (e.g., Hawk et al., 2011; Miller, 1987). Similarly, we expected positive associations between VE and these variables in the current study. In addition, VE may be associated with susceptibility to embarrassment, fear of negative evaluation, self-esteem and self-consciousness. Individuals with high susceptibility to embarrassment are more prone to embarrassment independently of social context and conditions (Kelly & Jones, 1997; Miller, 1995), and show more VE tendencies (Miller, 1987; Uysal et al., 2014). Thus, we expected a moderate positive association between VE and susceptibility to embarrassment. Studies about embarrassment stress that people feel embarrassed when they feel that they fail to meet others’ expectations (Marcus, Wilson, & Miller, 1996). Past research shows that fear of negative evaluation is positively associated with embarrassment (Miller, 1995) and VE (Miller, 1987; Thornton, 2003). Similarly, we expected a positive association between VE and fear of negative Address for Correspondence: Instructor Dr. İrem Metin Orta, Atılım University Faculty of Arts & Sciences Department of Psy 58 Turkish Psychological Articles evaluation. Studies also show that self-esteem negatively predicts embarrassment (Miller, 1995) and participants with low self-esteem report higher VE (Miller, 1987; Thornton, 2003). Thus, we expected a negative association between VE and self-esteem. Lastly, research revealed that individuals with high consciousness, who are highly concerned about how they appear in the eyes of others, are more prone to embarrassment (Edelmann, 1985). Hence, we hypothesized a positive association between VE and self-consciousness. A recent meta-analysis investigating self-conscious emotions (Else-Quest, Higgins, Allison, & Morton, 2012) revealed gender differences in guilt and shame, but not in embarrassment. This study also showed that ethnicity acts as a moderator between guilt and shame while it has no effect on embarrassment. Furthermore, Uysal and colleagues (2014) reported that there were no gender differences on VE in a Turkish sample. In the light of these findings, we explored gender and ethnic differences in VE, but we did not have a specific hypothesis. As previously stated, the purpose of this study is to test reliability and validity of VES in an American sample, replicating the findings of Uysal and colleagues (2014) in a different sample. In short, it was hypothesized that VE would be positive associated with susceptibility to embarrassment, empathy, perspective taking, fear of negative evaluation, and self-consciousness, whereas, it would be negatively associated with self-esteem. Method Participants and Procedure Undergraduate students (513 female, 103 male) from University of Houston participated in the study in exchange for extra credit. Participants’ ages ranged from 18 to 62 years (M = 22, SD = 4.90). Participants completed an online questionnaire packet that included measures of vicarious embarrassment and related variables. Materials Vicarious Embarrassment. Participants’ tendency to feel embarrassed on behalf of strangers was measured by the 8-item Vicarious Embarrassment Scale (VES; Uysal et al., 2014). The items were translated into English and back-translated by experts (See Table 1). Participants rated the items on a 1 (strongly disagree) to 7 (strongly agree) scale, with higher scores indicating higher levels of vicarious embarrassment. The alpha coefficient was .93. Susceptibility to Embarrassment. Participants’ susceptibility to embarrassment was measured by the 25- item Susceptibility to Embarrassment Scale (SES; Kelly & Jones, 1997). Participants rated the items (e.g., “I feel humiliated if I make a mistake in front of a group”) on a 1 (strongly disagree) to 7 (strongly agree) scale, with higher scores indicating higher susceptibility to embarrassment. The alpha coefficient was .94. Empathy and Perspective-Taking. Participants’ empathy and perspective-taking skills were measured by the two subscales of Interpersonal Reactivity Index (Davis, 1980). Participants rated 7 items of Empathy subscale (i.e., “I often have tender, concerned feelings for people less fortunate than me”) and 7 items of Perspective-taking subscale (i.e., “I try to look at everybody’s side of a disagreement before I make a decision”) using a scale of 1 (strongly disagree) to 7 (strongly agree), with higher scores indicating higher empathy and perspectivetaking. The alpha coefficients were .77 and .79 for the empathy and perspective-taking subscales, respectively. Fear of Negative Evaluation. Participants’ fear of negative evaluation was measured by the 12-item Fear of Negative Evaluation Scale (Leary, 1983). Participants rated 11 items due to typing mistake in one item a 1 (strongly disagree) to 7 (strongly agree) scale (e.g., “I often worry that I will say or do the wrong things”), with higher scores indicating higher fear of negative evaluation. The alpha coefficient was .91. Self-Esteem. Participants’ self-esteem was measured by the 10-item Self Esteem scale (Rosenberg, 1965). Participants rated the items (e.g., “I feel that I have a number of good qualities”) on a 1 (strongly disagree) to 7 (strongly agree) scale, with higher scores indicating higher levels of self-esteem. The alpha coefficient was .90. Self-Consciousness. Participants’ self-consciousness was measured by the 22-item Self-Consciousness Scale (Fenigstein, Scheier, & Buss, 1975; Scheier & Carver, 1985). The scale consists of three subscales: Private Self-Consciousness (e.g., “I think about myself a lot”), Public Self-Consciousness (e.g., “I care a lot about how I present myself to others”), and Social Anxiety (e.g., “It takes me time to get over my shyness in new situations”). Participants rated all items on a 1 (strongly disagree) to 7 (strongly agree) scale, with higher scores indicating higher level of self-consciousness in that subscale. The alpha coefficients were .74 for Private Self-Consciousness subscale and .83 for Public SelfConsciousness and Social Anxiety subscales. Results Factor Structure of the Vicarious Embarrassment Scale Kaiser-Meyer-Olkin (KMO) value (.90) and the significant Bartlett test result (χ2 28 = 3761. 86, p < .001) indicated that the sample is pertinent for factor analysis. Initially, exploratory factor analysis revealed only one factor with an eigenvalue greater than one, accounting Vicarious Embarrassment 59 for 68 % of the variance. Next, confirmatory factor analysis using the LISREL 8.51 program and the maximum likelihood estimation revealed an unacceptable model fit (χ2 20 = 433.5, p < .001, χ2 /df = 21.6, RMSEA = .18, NNFI = .85, CFI = .89, GFI= .85). An examination of modification indexes indicated considerable residual correlations between items 1 and 2, 7 and 8, 5 and 6. After modifications, the final model provided an acceptable fit to the data (χ2 17 = 68.35, p < .001, χ2 /df = 4, RMSEA = .07, NNFI = .98, CFI = .99, GFI = .97). The communalities and factor loadings for the confirmatory and exploratory factor analyses are provided in Table 1. Correlations of Vicarious Embarrassment Scale with Related Variables The study variables were initially examined in terms of gender and ethnic differences. The results showed significant gender differences in susceptibility to embarrassment (Mfemale = 3.95, Mmale = 3.65, t 612 = 2.4, p = .02) and empathy (Mfemale = 5.40, Mmale = 4.79, t 614 = 6, p < .001). Females and males did not differ in VES (Mfemale = 3.73, Mmale = 3.76, t 613 = -.16, p = .87), in line with the previous findings (Uysal et al., 2014). Similarly, the results showed there were significant ethnic differences in susceptibility to embarrassment (F3,557 = 4.58, p =.004); but not in VES (F3,558 = 1.14, p =.33). Asians (M = 4.17) were more prone to embarrassment than Hispanics (M = 3.85) and African-Americans (M = 3.63); and Caucasians (M = 3.97) were more prone to embarrassment than African Americans (M = 3.63). Bivariate correlations showed that VES had a positive association with susceptibility to embarrassment (r = .49, p < .001), empathy (r = .18, p < .001), perspectivetaking (r = .14, p = .001), fear of negative evaluation (r = .45, p < .001), whereas it had a negative association with self-esteem (r = -.30, p < .001). Furthermore, VES had a positive association with private self-consciousness (r = .33, p < .001), public self-consciousness (r = .35, p < .001), and social anxiety (r = .34, p < .001) (See Table 2). These findings were in line with our hypotheses and similar to the findings of the Turkish sample (Uysal et al., 2014). Finally, we conducted a multiple regression analysis to examine to what extent the study variables account for the variance in VES. Social anxiety subscale of selfconsciousness was not entered into the model due to its high correlation with susceptibility to embarrassment (r = .80, p < .001). The findings revealed that susceptibility to embarrassment (β = .32, p < .001), private self-consciousness (β = .19, p < .001), fear of negative evaluation (β = .16, p = .01), perspective-taking (β = .10, p = .01) and self-esteem (β = -.09, p = .04) significantly predicted VES, whereas empathy (β = .07, p = .08) and public selfconsciousness (β = -.09, p = .10) did not predict VES. These variables accounted for 32% of the variance in vicarious embarrassment scale. Discussion In this study, we tested the reliability and validity of Vicarious Embarrassment Scale in an American sample. The results indicated that VES showed similar factor structure and associations with related variables as it did in the Turkish sample (Uysal et al., 2014). People with high vicarious embarrassment scores were more prone to embarrassment, have higher fear of negative evaluation, empathy and perspective taking, and lower self-esteem. Additionally, regression analysis showed that these variables only accounted for 32% of variance in vicarious embarrassment. This finding suggests that vicarious embarrassment is related to, but different from susceptibility of embarrassment and other variables. Furthermore, our sample was an ethnically diverse sample, and the results revealed that there were no ethnic differences in VES, which provides further support for external validity of the scale. Although Asian individuals were more prone to embarrassment, they did not score higher on VES. These findings also suggest that vicarious embarrassment is different from susceptibility to embarrassment. There were no gender difference in VES but in empathy and susceptibility to embarrassment, replicating the findings of the Turkish sample (Uysal et al., 2014). We found that women were more empathic and more prone to embarrassment, in line with literature (Davis, 1980; Kelly & Jones, 1997). These findings indicate that vicarious embarrassment involves more than just empathy and perspective-taking. Some limitations of the study also need to be addressed. First, the data were collected from university students, which limits external validity of the findings. Second, the study only consisted of self-report scales. Even though this method provides information about the validity of the VE scale, future studies using behavioral or physiological measures could offer more evidence for the predictive validity of the VES. The present study replicated the reliability and validity of Vicarious Embarrassment Scale (Uysal et al., 2014), with an American sample. Moreover, it also provided some support for the argument that vicarious embarrassment cannot be explained merely by susceptibility to embarrassment and empathy. However, the literature on vicarious embarrassment is scarce, and more studies are needed to foster our understanding of this emotion.
  • asked a question related to Personality Traits
Question
15 answers
Looking for suggestions of actual tests, not methods nor processes (like ECD).
Relevant answer
Answer
Richard, this is an important area of research. You may wish to look at the various tests adopted in this area by Matsumoto and Huang (2013) and, more interestingly, to examine the extent to which they have been ascertained to be valid. Very best of luck in your research.
  • asked a question related to Personality Traits
Question
5 answers
Are there any recent articles (2018-2020) reviewing Zimmerman's (2008) meta-analysis?
Relevant answer
Answer
Hi there, yes there is a clear cut relationship between Big Five personality traits and organizational behavior elements such as turnover, job satisfaction, OCB etc. However, this may vary as stated by organizational culture, management level, job position etc. You can refer more research articles on the above matter for more details.
  • asked a question related to Personality Traits
Question
3 answers
Hello All, I am not even sure if this is possible, but I have used this dataset for several publication -albeit with different constructs-and have not seen such low t-values. For example, I have a model with all the BFI personality traits as constructs related to an established construct measuring the intensity of Facebook use. All the loading and other measurement model statistics are spot on, but the t-statistics of the outer loading related to Neuroticism are all nonsignificant. Removing some of the items does not improve the situation. Interestingly, the outer loadings are all above 0.7 and the other constructs are good. The AVE, CA and CR are also good. What could be cause of this? I am using SmartPLS 3 and running native bootstrapping.
Relevant answer
Answer
I have the same problem high loadings CR and AVE but insignificance or low t values for outer model? Is there any recommendation or how did you fix it?
  • asked a question related to Personality Traits
Question
6 answers
My topic is "the Influence of Personality Traits on Smartphone Usage" and this is for my thesis as I am a final year student at university. I calculated Pearson's r for Extraversion and smartphone usage. The r= .084 and the two tail was .471 and n=75. What is the p value and your interpretation of these results?
Relevant answer
Answer
It is based on the hypothesis. Directional or non directional?
  • asked a question related to Personality Traits
Question
4 answers
Hi,
I'm looking to calculate the overall correlation based on correlations in subgroups.
To give an example, i've made scatterplots in the pictures attached. In the first picture (figure 3), looking at all data points, the correlation seems to be positive, but when limited to within a the subgroup (the circles) the correlation seems to be negative.
So my question is whether there is a test in SPSS or R that i can use to determine the overall correlations within the two categories.
Relevant answer
Answer
SPSS can compute pooled within-group correlations. This adjusts for group membership by computing sums of squares and sums of products around the group means, and then pooling to compute the correlation. It is either part of the MANOVA or the Discriminant Analysis procedure.
  • asked a question related to Personality Traits
Question
2 answers
I am researching about how the personality characteristic of each internet user impact their mindset and decision in facing cyber security threats e.g.: phishing. Please guide me how to defines/classify the points scores vs big 5 characters groups? I know it is based on reverse points, but not sure how to match it and do not have the scores board formula. Thank you very much in advance.
Relevant answer
Answer
Each dimension should have a score. With tests it is always vital and god practice to consult the admin.scoring instructions. Also, to look at how other researchers have used the test.
  • asked a question related to Personality Traits
Question
3 answers
My research these days is focused in agressive behaviour and hostility at work, and i would like to read more about how informal hierarchies are build through dynamic interaction of the people involved. What i am wondering right now is if some kind of personalities enjoy this hierarchical competition or how personality traits can predict behavior in this kind of enviroment.
Relevant answer
Answer
My guess is that people low on agreebaleness and with highly expressed pathological extroversion would be more competitive and hostile, but explore the Big Five personality model reaserch . I would expect neurotics that are usually empathic to be opposite. I hope that thought helps.cheers
  • asked a question related to Personality Traits
Question
7 answers
Hello everyone,
I have started my PhD at Helmut Schmidt University, I am doing my research in Germany, Hamburg and my research topic is "Do family characteristics influence the personality of parents and offspring?" I am looking for;
  • A comparison of the influence and the impact of family characteristic in offspring and parent's personality traits
  • To investigate the probability of personality disorders affecting the offspring and whether it is predictable from their parents and/or family characteristics.
Family characteristics are alcoholic parents, parental medical/psychiatric illness, parental separation/loss, abusive parents, unemployment, parental education status, teenage mother, large family size.
Sample size- 200 dyads (100 parents and 100 offspring),.
Variables- Independent variable- 8 types of family characteristics. Dependent variables- Personality traits, gender, age.
Tools- For personality traits, NEO-FFI, 60 items questionnaire(german version) and for predicting personality disorder - (need suggestion)
Currently, I am confused about using the Actor Partner Interdependence Model, am I correct on this, if not, what other models I can use?
Relevant answer
You can look at our paper how parents' fighting impacting their children and instigated suicidal thoughts in the young persons:
  • asked a question related to Personality Traits