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Marion K. Schulmeyer

Bio: Marion K. Schulmeyer is an academic researcher. The author has contributed to research in topics: Hierarchical structure of the Big Five & Big Five personality traits and culture. The author has an hindex of 1, co-authored 1 publications receiving 750 citations.

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David P. Schmitt1, Jüri Allik2, Robert R. McCrae3, Verónica Benet-Martínez4, Lidia Alcalay5, Lara Ault6, Ivars Austers7, Kevin Bennett8, Gabriel Bianchi9, Fredric Boholst10, Mary Ann Borg Cunen11, Johan Braeckman12, Edwin G. Brainerd13, Leo Gerard A. Caral10, Gabrielle Caron14, María Martina Casullo15, Michael Cunningham6, Ikuo Daibo16, Charlotte J. S. De Backer12, Eros De Souza17, Rolando Díaz-Loving18, Glaucia Ribeiro Starling Diniz19, Kevin Durkin20, Marcela Echegaray21, Ekin Eremsoy22, Harald A. Euler23, Ruth Falzon11, Maryanne L. Fisher24, Dolores Foley25, Douglas P. Fry26, Sirspa Fry26, M. Arif Ghayur27, Debra L. Golden28, Karl Grammer, Liria Grimaldi29, Jamin Halberstadt30, Shamsul Haque31, Dora Herrera21, Janine Hertel32, Heather Hoffmann33, Danica Hooper25, Zuzana Hradilekova34, Jasna Hudek-Kene-Evi35, Jas Laile Suzana Binti Jaafar36, Margarita Jankauskaite37, Heidi Kabangu-Stahel, Igor Kardum35, Brigitte Khoury38, Hayrran Kwon39, Kaia Laidra5, Anton Laireiter40, Dustin Lakerveld41, Ada Lampert, Mary Anne Lauri11, Marguerite Lavallée14, Suk Jae Lee42, Luk Chung Leung43, Kenneth D. Locke44, Vance Locke20, Ivan Lukšík9, Ishmael Magaisa45, Dalia Marcinkeviciene37, André Mata46, Rui Mata46, Barry Mccarthy47, Michael E. Mills48, Nhlanhla Mkhize49, João Manuel Moreira46, Sérgio Moreira46, Miguel Moya50, M. Munyae51, Patricia Noller25, Adrian Opre52, Alexia Panayiotou53, Nebojša Petrović54, Karolien Poels12, Miroslav Popper9, Maria Poulimenou55, Volodymyr P'yatokh, Michel Raymond56, Ulf-Dietrich Reips57, Susan E. Reneau58, Sofía Rivera-Aragón18, Wade C. Rowatt59, Willibald Ruch60, Velko S. Rus61, Marilyn P. Safir62, Sonia Salas63, Fabio Sambataro29, Kenneth Sandnabba26, Marion K. Schulmeyer, Astrid Schütz32, Tullio Scrimali29, Todd K. Shackelford64, Phillip R. Shaver65, Francis J Sichona66, Franco Simonetti2, Tilahun Sineshaw67, Tom Speelman12, Spyros Spyrou68, H. Canan Sümer69, Nebi Sümer69, Marianna Supekova9, Tomasz Szlendak70, Robin Taylor71, Bert Timmermans72, William Tooke73, Ioannis Tsaousis74, F. S.K. Tungaraza66, Griet Vandermassen12, Tim Vanhoomissen72, Frank Van Overwalle72, Ine Vanwesenbeeck, Paul L. Vasey75, João Veríssimo46, Martin Voracek76, Wendy W.N. Wan77, Ta Wei Wang78, Peter Weiss79, Andik Wijaya, Liesbeth Woertman41, Gahyun Youn80, Agata Zupanèiè61, Mithila B. Sharan81 
Bradley University1, University of Tartu2, National Institutes of Health3, University of California4, Pontifical Catholic University of Chile5, University of Louisville6, University of Latvia7, Pennsylvania State University8, Slovak Academy of Sciences9, University of San Carlos10, University of Malta11, Ghent University12, Clemson University13, Laval University14, University of Buenos Aires15, Osaka University16, Illinois State University17, National Autonomous University of Mexico18, University of Brasília19, University of Western Australia20, University of Lima21, Boğaziçi University22, University of Kassel23, York University24, University of Queensland25, Åbo Akademi University26, Al Akhawayn University27, University of Hawaii at Manoa28, University of Catania29, University of Otago30, University of Dhaka31, Chemnitz University of Technology32, Knox College33, Comenius University in Bratislava34, University of Rijeka35, University of Malaya36, Vilnius University37, American University of Beirut38, Kwangju Health College39, University of Salzburg40, Utrecht University41, National Computerization Agency42, City University of Hong Kong43, University of Idaho44, University of Zimbabwe45, University of Lisbon46, University of Central Lancashire47, Loyola Marymount University48, University of KwaZulu-Natal49, University of Granada50, University of Botswana51, Babeș-Bolyai University52, University of Cyprus53, University of Belgrade54, KPMG55, University of Montpellier56, University of Zurich57, University of Alabama58, Baylor University59, Queen's University Belfast60, University of Ljubljana61, University of Haifa62, University of La Serena63, Florida Atlantic University64, University of California, Davis65, University of Dar es Salaam66, Ramapo College67, Cyprus College68, Middle East Technical University69, Nicolaus Copernicus University in Toruń70, University of the South Pacific71, Vrije Universiteit Brussel72, University at Albany, SUNY73, University of the Aegean74, University of Lethbridge75, University of Vienna76, University of Hong Kong77, Yuan Ze University78, Charles University in Prague79, Chonnam National University80, Indian Institutes of Technology81
TL;DR: The Big Five Inventory (BFI) is a self-report measure designed to assess the high-order personality traits of Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness as discussed by the authors.
Abstract: The Big Five Inventory (BFI) is a self-report measure designed to assess the high-order personality traits of Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. As part of the International Sexuality Description Project, the BFI was translated from English into 28 languages and administered to 17,837 individuals from 56 nations. The resulting cross-cultural data set was used to address three main questions: Does the factor structure of the English BFI fully replicate across cultures? How valid are the BFI trait profiles of individual nations? And how are personality traits distributed throughout the world? The five-dimensional structure was robust across major regions of the world. Trait levels were related in predictable ways to self-esteem, sociosexuality, and national personality profiles. People from the geographic regions of South America and East Asia were significantly different in openness from those inhabiting other world regions. The discussion focuses on limitations of t...

876 citations

Journal ArticleDOI
31 Aug 2022-Aportes
TL;DR: Aguilar et al. as discussed by the authors studied the relationship between the nota de matemáticas and the promedio de notas of a colegio in the Universidad Privada de Santa Cruz de la Sierra and the rendimiento escolar.
Abstract: El objetivo de esta investigación es determinar si se puede predecir el rendimiento de los estudiantes de primer semestre de la Universidad Privada de Santa Cruz de la Sierra a partir de su rendimiento escolar. Se tomó como muestra 1.935 estudiantes de los primeros semestres de tres gestiones, 935 varones y 1.000 mujeres. Para establecer una relación entre el rendimiento escolar y el rendimiento universitario, se analizaron datos académicos que incluían la nota de matemáticas y el promedio de notas del último año de colegio, el índice de aprovechamiento académico en la Universidad, tipo de colegio, género, periodo de ingreso y facultad. Se encontró una correlación moderada entre las notas en la universidad y el colegio. No se encontraron diferencias por género, ni por tipo de colegio. También se vio que la relación entre las notas en la universidad y el colegio es mayor en las facultades que involucran más materias numéricas (como ingeniería y administración). Sin embargo, la predictibilidad del rendimiento escolar es baja cuando se la toma como única variable de predicción.

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08 Sep 2020
TL;DR: A review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species – frequent outliers.
Abstract: Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. Researchers - often implicitly - assume that either there is little variation across human populations, or that these "standard subjects" are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species - frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self-concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior - hence, there are no obvious a priori grounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions of human nature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity. We close by proposing ways to structurally re-organize the behavioral sciences to best tackle these challenges.

6,370 citations

Journal ArticleDOI
TL;DR: The evidence strongly suggests that exposure to violent video games is a causal risk factor for increased aggressive behavior, aggressive cognition, and aggressive affect and for decreased empathy and prosocial behavior.
Abstract: Meta-analytic procedures were used to test the effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, empathy/desensitization, and prosocial behavior. Unique features of this meta-analytic review include (a) more restrictive methodological quality inclusion criteria than in past meta-analyses; (b) cross-cultural comparisons; (c) longitudinal studies for all outcomes except physiological arousal; (d) conservative statistical controls; (e) multiple moderator analyses; and (f) sensitivity analyses. Social-cognitive models and cultural differences between Japan and Western countries were used to generate theory-based predictions. Meta-analyses yielded significant effects for all 6 outcome variables. The pattern of results for different outcomes and research designs (experimental, cross-sectional, longitudinal) fit theoretical predictions well. The evidence strongly suggests that exposure to violent video games is a causal risk factor for increased aggressive behavior, aggressive cognition, and aggressive affect and for decreased empathy and prosocial behavior. Moderator analyses revealed significant research design effects, weak evidence of cultural differences in susceptibility and type of measurement effects, and no evidence of sex differences in susceptibility. Results of various sensitivity analyses revealed these effects to be robust, with little evidence of selection (publication) bias.

1,667 citations

Journal ArticleDOI
TL;DR: Overall, higher levels of human development--including long and healthy life, equal access to knowledge and education, and economic wealth--were the main nation-level predictors of larger sex differences in personality.
Abstract: Previous research suggested that sex differences in personality traits are larger in prosperous, healthy, and egalitarian cultures in which women have more opportunities equal with those of men. In this article, the authors report cross-cultural findings in which this unintuitive result was replicated across samples from 55 nations (N 17,637). On responses to the Big Five Inventory, women reported higher levels of neuroticism, extraversion, agreeableness, and conscientiousness than did men across most nations. These findings converge with previous studies in which different Big Five measures and more limited samples of nations were used. Overall, higher levels of human development—including long and healthy life, equal access to knowledge and education, and economic wealth—were the main nation-level predictors of larger sex differences in personality. Changes in men’s personality traits appeared to be the primary cause of sex difference variation across cultures. It is proposed that heightened levels of sexual dimorphism result from personality traits of men and women being less constrained and more able to naturally diverge in developed nations. In less fortunate social and economic conditions, innate personality differences between men and women may be attenuated.

1,121 citations

Journal ArticleDOI
TL;DR: The BFI-2 introduces a robust hierarchical structure, controls for individual differences in acquiescent responding, and provides greater bandwidth, fidelity, and predictive power than the original BFI, while still retaining the original measure’s conceptual focus, brevity, and ease of understanding.
Abstract: [Correction Notice: An Erratum for this article was reported in Vol 113(1) of Journal of Personality and Social Psychology (see record 2017-26058-001).In the article, all citations to McCrae and Costa (2008), except for the instance in which it appears in the first paragraph of the introduction, should instead appear as McCrae and Costa (2010). The complete citation should read as follows: McCrae, R. R., & Costa, P. T. (2010). NEO Inventories professional manual. Lutz, FL: Psychological Assessment Resources. The attribution to the BFI-2 items that appears in the Table 6 note should read as follows: BFI-2 items adapted from "Conceptualization, Development, and Initial Validation of the Big Five Inventory-2," by C. J. Soto and O. P. John, 2015, Paper presented at the biennial meeting of the Association for Research in Personality. Copyright 2015 by Oliver P. John and Christopher J. Soto. The complete citation in the References list should appear as follows: Soto, C. J., & John, O. P. (2015, June). Conceptualization, development, and initial validation of the Big Five Inventory-2. Paper presented at the biennial meeting of the Association for Research in Personality, St. Louis, MO. Available from http://www.colby.edu/psych/personality-lab/ All versions of this article have been corrected. All versions of this article have been corrected.] Three studies were conducted to develop and validate the Big Five Inventory-2 (BFI-2), a major revision of the Big Five Inventory (BFI). Study 1 specified a hierarchical model of personality structure with 15 facet traits nested within the Big Five domains, and developed a preliminary item pool to measure this structure. Study 2 used conceptual and empirical criteria to construct the BFI-2 domain and facet scales from the preliminary item pool. Study 3 used data from 2 validation samples to evaluate the BFI-2's measurement properties and substantive relations with self-reported and peer-reported criteria. The results of these studies indicate that the BFI-2 is a reliable and valid personality measure, and an important advance over the original BFI. Specifically, the BFI-2 introduces a robust hierarchical structure, controls for individual differences in acquiescent responding, and provides greater bandwidth, fidelity, and predictive power than the original BFI, while still retaining the original measure's conceptual focus, brevity, and ease of understanding. The BFI-2 therefore offers valuable new opportunities for research examining the structure, assessment, development, and life outcomes of personality traits. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

908 citations