Users of the main smartphone operating systems (iOS, Android) differ only little in personality
The increasingly widespread use of mobile phone applications (apps) as research tools and cost-effective means of vast data collection raises new methodological challenges. In recent years, it has become a common practice for scientists to design apps that run only on a single operating system, ther...
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description | The increasingly widespread use of mobile phone applications (apps) as research tools and cost-effective means of vast data collection raises new methodological challenges. In recent years, it has become a common practice for scientists to design apps that run only on a single operating system, thereby excluding large numbers of users who use a different operating system. However, empirical evidence investigating any selection biases that might result thereof is scarce. Henceforth, we conducted two studies drawing from a large multi-national (Study 1; N = 1,081) and a German-speaking sample (Study 2; N = 2,438). As such Study 1 compared iOS and Android users across an array of key personality traits (i.e., well-being, self-esteem, willingness to take risks, optimism, pessimism, Dark Triad, and the Big Five). Focusing on Big Five personality traits in a broader scope, in addition to smartphone users, Study 2 also examined users of the main computer operating systems (i.e., Mac OS, Windows). In both studies, very few significant differences were found, all of which were of small or even tiny effect size mostly disappearing after sociodemographics had been controlled for. Taken together, minor differences in personality seem to exist, but they are of small to negligible effect size (ranging from OR = 0.919 to 1.344 (Study 1), ηp2 = .005 to .036 (Study 2), respectively) and may reflect differences in sociodemographic composition, rather than operating system of smartphone users. |
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In recent years, it has become a common practice for scientists to design apps that run only on a single operating system, thereby excluding large numbers of users who use a different operating system. However, empirical evidence investigating any selection biases that might result thereof is scarce. Henceforth, we conducted two studies drawing from a large multi-national (Study 1; N = 1,081) and a German-speaking sample (Study 2; N = 2,438). As such Study 1 compared iOS and Android users across an array of key personality traits (i.e., well-being, self-esteem, willingness to take risks, optimism, pessimism, Dark Triad, and the Big Five). Focusing on Big Five personality traits in a broader scope, in addition to smartphone users, Study 2 also examined users of the main computer operating systems (i.e., Mac OS, Windows). In both studies, very few significant differences were found, all of which were of small or even tiny effect size mostly disappearing after sociodemographics had been controlled for. Taken together, minor differences in personality seem to exist, but they are of small to negligible effect size (ranging from OR = 0.919 to 1.344 (Study 1), ηp2 = .005 to .036 (Study 2), respectively) and may reflect differences in sociodemographic composition, rather than operating system of smartphone users.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0176921</identifier><identifier>PMID: 28467473</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Applications programs ; Behavior ; Biology and Life Sciences ; Cellular telephones ; Computer and Information Sciences ; Data collection ; Engineering and Technology ; Extraversion (Psychology) ; Female ; Global positioning systems ; GPS ; Humans ; Identification and classification ; Internet ; Male ; Methyltestosterone ; Middle Aged ; Mobile Applications - statistics & numerical data ; Mobile operating systems ; Personality ; Personality Tests ; Personality traits ; Personality types ; Psychological aspects ; Research and Analysis Methods ; Researchers ; Science ; Scientists ; Self Concept ; Smart phones ; Smartphone - statistics & numerical data ; Smartphones ; Social psychology ; Social research ; Social Sciences ; Studies ; Surveys and Questionnaires ; Well being ; Windows (computer programs) ; Young Adult</subject><ispartof>PloS one, 2017-05, Vol.12 (5), p.e0176921-e0176921</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Götz et al. 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In recent years, it has become a common practice for scientists to design apps that run only on a single operating system, thereby excluding large numbers of users who use a different operating system. However, empirical evidence investigating any selection biases that might result thereof is scarce. Henceforth, we conducted two studies drawing from a large multi-national (Study 1; N = 1,081) and a German-speaking sample (Study 2; N = 2,438). As such Study 1 compared iOS and Android users across an array of key personality traits (i.e., well-being, self-esteem, willingness to take risks, optimism, pessimism, Dark Triad, and the Big Five). Focusing on Big Five personality traits in a broader scope, in addition to smartphone users, Study 2 also examined users of the main computer operating systems (i.e., Mac OS, Windows). In both studies, very few significant differences were found, all of which were of small or even tiny effect size mostly disappearing after sociodemographics had been controlled for. Taken together, minor differences in personality seem to exist, but they are of small to negligible effect size (ranging from OR = 0.919 to 1.344 (Study 1), ηp2 = .005 to .036 (Study 2), respectively) and may reflect differences in sociodemographic composition, rather than operating system of smartphone users.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28467473</pmid><doi>10.1371/journal.pone.0176921</doi><orcidid>https://orcid.org/0000-0001-8900-6844</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Applications programs Behavior Biology and Life Sciences Cellular telephones Computer and Information Sciences Data collection Engineering and Technology Extraversion (Psychology) Female Global positioning systems GPS Humans Identification and classification Internet Male Methyltestosterone Middle Aged Mobile Applications - statistics & numerical data Mobile operating systems Personality Personality Tests Personality traits Personality types Psychological aspects Research and Analysis Methods Researchers Science Scientists Self Concept Smart phones Smartphone - statistics & numerical data Smartphones Social psychology Social research Social Sciences Studies Surveys and Questionnaires Well being Windows (computer programs) Young Adult |
title | Users of the main smartphone operating systems (iOS, Android) differ only little in personality |
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