Participant recruitment and data collection through Facebook: the role of personality factors

Rife, Sean C.; Cate, Kelly L.; Kosinski, Michal; Stillwell, David

doi:10.31234/osf.io/qg3rt

Cited by 26 publications

(35 citation statements)

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“…Data collected via Facebook has been shown to be comparable to data collected via standalone websites [17]. Moreover, the Facebook personality dataset we use in this study has successfully predicted a range of personal traits, from web browsing habits [18] to language use [19].…”

Section: Personality and Book Preferencesmentioning

confidence: 77%

Predicting Personality from Book Preferences with User-Generated Content Labels

Annalyn

Bos

Sigal

et al. 2020

IEEE Trans. Affective Comput.

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Psychological studies have shown that personality traits are associated with book preferences. However, past findings are based on questionnaires focusing on conventional book genres and are unrepresentative of niche content. For a more comprehensive measure of book content, this study harnesses a massive archive of content labels, also known as 'tags', created by users of an online book catalogue, Goodreads.com. Combined with data on preferences and personality scores collected from Facebook users, the tag labels achieve high accuracy in personality prediction by psychological standards. We also group tags into broader genres, to check their validity against past findings. Our results are robust across both tag and genre levels of analyses, and consistent with existing literature. Moreover, user-generated tag labels reveal unexpected insights, such as cultural differences, book reading behaviors, and other non-content factors affecting preferences. To our knowledge, this is currently the largest study that explores the relationship between personality and book content preferences.

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Section: Personality and Book Preferencesmentioning

confidence: 77%

Predicting Personality from Book Preferences with User-Generated Content Labels

Annalyn

Bos

Sigal

et al. 2020

IEEE Trans. Affective Comput.

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“…A cross‐sectional design was used to address the study aim. Data were collected through the social network Facebook, which is considered a viable platform for social research (Rife, Cate, Kosinski, & Stillwell, 2016).…”

Section: The Studymentioning

confidence: 99%

The effect of regulatory focus and time preference on the dual process of physical activity: A cross‐sectional study among nurses

Avraham

Simon‐Tuval

Dijk

2020

Journal of Advanced Nursing

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Aims:To examine the dual process of physical activity adoption among nurses and its relationships with two personal orientations-regulatory focus-the tendency to focus on promotion (vs. prevention) goals and time preference as measured by delay discounting: the tendency to overvalue immediate rewards over long-term ones. Background:The dual process theory suggests that both conscious and non-conscious processes influence the adoption of physical activity. However, the role of regulatory focus and time preference in this process was not yet examined. Design: A cross-sectional online survey among 143 nurses during August-November 2017.Methods: Validated measures were used to estimate physical activity habit strength (a non-conscious process) and intention, planning and behaviour control (conscious processes), physical activity level, regulatory focus and time preference. Multivariable ordered logit and logistic models were specified to examine determinants of both processes.Results: Promotion focus was positively associated with having a strong habit of physical activity among nurses with moderate-to-low activity levels, but it was negatively associated with habit for active nurses. As for time preference, higher delay discounting was negatively associated with nurses' conscious intention to adopt physical activity and with their action planning. Conclusion: Promotion focus and time preference are associated with both conscious and non-conscious processes of physical activity adoption among nurses and should be considered in future health promotion interventions targeted to this population. Impact: Promotion focus and time preference have a significant role in this dual process. Enhancing physical activity of health providers by adjusting the intervention to personal orientations may improve public health. K E Y W O R D S delay discounting, dual process, habit formation, nurses, physical activity, regulatory focus, time preference | 1405 AVRAHAM et Al.

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“…Subjects in massive online experiments are not representative of the population, but they are typically much more representative than the subjects in lab-based studies or online labormarket studies (Germine et al, 2012;Gosling et al, 2010;Gosling et al, 2004;Henrich, Heine, & Norenzayan, 2010;Ipeirotis, 2010;Paolacci et al, 2010;Rife, Cate, Kosinski, & Stillwell, 2016). Note, however, that a representative sample ensures that findings will generalize to the population as a whole, but it does not necessarily help determine whether subpopulations vary.…”

Section: What If My Research Paradigm Cannot Be Conducted Online?mentioning

confidence: 99%

A thousand studies for the price of one: Accelerating psychological science with Pushkin

et al. 2019

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Half of the world's population has internet access. In principle, researchers are no longer limited to subjects they can recruit into the laboratory. Any study that can be run on a computer or mobile device can be run with nearly any demographic anywhere in the world, and in large numbers. This has allowed scientists to effectively run hundreds of experiments at once. Despite their transformative power, such studies remain rare for practical reasons: the need for sophisticated software, the difficulty of recruiting so many subjects, and a lack of research paradigms that make effective use of their large amounts of data, due to such realities as that they require sophisticated software in order to run effectively. We present Pushkin: an open-source platform for designing and conducting massive experiments over the internet. Pushkin allows for a wide range of behavioral paradigms, through integration with the intuitive and flexible jsPsych experiment engine. It also addresses the basic technical challenges associated with massive, worldwide studies, including auto-scaling, extensibility, machine-assisted experimental design, multisession studies, and data security. Keywords Online studies. Robust and reliable research. Massive online experiments. Citizen science Although some questions psychologists care about involve comparing only two conditions to each other, most require teasing apart the contributions of many intertwined variables. In the past, this has required hundreds, if not thousands, of studies across numerous laboratories, each targeting a specific variable, population, or stimulus set. In principle, we can now do this work many orders of magnitude more quickly. Given that half the world's population has internet access (ITU Telecommunication Development Sector, 2017), any study that can be run on a computer or mobile device can be run with nearly any demographic anywhere in the world, and in large numbers. This includes not just surveys, but studies involving grammatical judgments, reaction times, decisionmaking, economics games, eyetracking, priming, sentence completion, skill acquisition, and others-which is to say, most human behavioral experiments (Birnbaum, 2004;

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Participant recruitment and data collection through Facebook: the role of personality factors

Cited by 26 publications

References 0 publications

Predicting Personality from Book Preferences with User-Generated Content Labels

Predicting Personality from Book Preferences with User-Generated Content Labels

The effect of regulatory focus and time preference on the dual process of physical activity: A cross‐sectional study among nurses

A thousand studies for the price of one: Accelerating psychological science with Pushkin

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