Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In married couple families Health Insurance Coverage Statistics for 2022. This is part of a larger dataset covering consumer health insurance coverage rates in University of California-Santa Barbara, California by age, education, race, gender, work experience and more.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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This dataset offers a fascinating insight into gender differences in fear-related personality traits and their correlation with physical strength across five university samples. It includes demographic information such as age, gender, and ethnicity, as well as physical strength measures – grip strength and chest strength – taken from undergraduate students from the University of California Santa Barbara, Oklahoma State University, University of Texas Austin, and Arizona State University. Additionally, the dataset includes self-report measures of HEXACO Emotionality to explore the effects of physical strength on fear-related personality traits - which is key information to consider when designing interventions for mental health issues. With this data we could discover how temperament affects physiological parameters such as grip or chest strength: Does having a fearful personality predispose someone to have decreased levels of physical power? How does this route differ dependeing on sex? Answering these questions could allow us to gain valuable insights into how greater bodily prowess affects unique psychological conditions that differ depending on gender. Do not miss out on this amazing opportunity to learn more about fear-induced personality features associated with physical force!
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- Using the physical strength and fear-related personality trait measures, universities can identify and target students who might need extra support in an intervention to improve mental health and wellbeing.
- Exploring correlations between physical strength measures, overall HEXACO Emotionality scores, as well as the Anxiousness, Fearfulness, Sentimentalism, and Emotional Dependence facets of HEXACO Emotionality to understand how gender differences in fear-related personality traits may be affected by physical strength.
- Comparing the distributions of simple demographic measures such as age and ethnicity across five different university samples to explore commonalities or potential differences among student populations at different universities
If you use this dataset in your research, please credit the original authors. Data Source
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: Sample_1.csv | Column name | Description | |:--------------|:----------------------------------------------------------------| | age | Age of the participant. (Numeric) | | female | Gender of the participant (1 = Female, 0 = Male). (Categorical) | | ethnicity | Ethnicity of the participant. (Categorical) | | grip | Grip strength of the participant. (Numeric) | | chest | Chest strength of the participant. (Numeric) | | e_anx_1 | Fearfulness score of the participant. (Numeric) | | e_anx_2 | Anxiety score of the participant. (Numeric) | | e_anx_3 | Sentimentalism score of the participant. (Numeric) | | e_anx_4 | Emotional Dependence score of the participant. (Numeric) | | e_anx_5 | Fearfulness score of the participant. (Numeric) | | e_anx_6 | Anxiety score of the participant. (Numeric) | | e_anx_7 | Sentimentalism score of the participant. (Numeric) | | e_anx_8 | Emotional Dependence score of the participant. (Numeric) | | e_anx_9 | Fearfulness score of the participant. (Numeric) | | e_anx_10 | Anxiety score of the participant. (Numeric) | | e_dep_1 | Sentimentalism score of the participant. (Numeric) | | e_dep_2 | Emotional Dependence score of the participant. (Numeric) | | e_dep_3 | Fearfulness score of the participant. (Numeric) | | e_dep_4 | Anxiety score of the participant. (Numeric) | | e_dep_5 | Sentimentalism score of the participant. ...
Full edition for scientific use. In this dataset, we collected measures of need for privacy and personality. The aim was to determine how personality can predict and explain why specific people need privacy. The measures of privacy were based on existing scales; some items were developed anew; and some items were adapted. Personality was measured using the HEXACO Personality Inventory. The data consist of 1598 respondents from the United States. The sample was quota sampled in terms of age, gender, and ethnicity. The data were collected by Prolific.
These data are the results of a survey disseminated to the Southeastern Archaeology (SEAC) membership in March 2014. The survey was designed to to better understand authorial behavior (i.e., what factors contribute to decisions about manuscript submission and publication rates among southeastern archaeologists). Our goal was to solicit feedback from SEAC members in all job settings (students, academics, CRM, government, museum, etc.), including those who have never published research or do not publish regularly. We designed a survey with 24 questions (some of which had subsidiary questions), which covered demographic information, conference presentation rates, journal submission and publication rates, resubmission patterns, hypothetical publication strategies, and limiting factors on writing/producing manuscripts. A results of the survey are published in Bardolph and VanDerwarker (2016) and are available here.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In married couple families Health Insurance Coverage Statistics for 2022. This is part of a larger dataset covering consumer health insurance coverage rates in University of California-Santa Barbara, California by age, education, race, gender, work experience and more.