Persons as Effect Sizes

Grice, James W.; Medellin, Eliwid; Jones, Ian T.; Horvath, Samantha; McDaniel, Hailey; O’lansen, Chance; Baker, M

doi:10.1177/2515245920922982

Cited by 69 publications

(93 citation statements)

References 44 publications

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“…Our results are in line with a recent study of Grice et al (2020), which re-analyzed the data sets of a number of published studies, showing that large percentages of the subjects in these studies responded opposite to theoretical predictions. Our results are also consistent with an experiment by Thomaes et al (2010), who asked pre-adolescents to assess their self-esteem, after which they were requested to create an online profile.…”

Section: Comparing Between-person and Within-person Associationssupporting

confidence: 91%

Social Media Browsing and Adolescent Well-Being: Challenging the “Passive Social Media Use Hypothesis”

Valkenburg¹,

Beyens²,

Pouwels³

et al. 2021

Preprint

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A recurring hypothesis in the literature is that “passive” social media use (browsing) leads to negative effects on well-being. This preregistered study investigated a rival hypothesis, which states that the effects of browsing on well-being depend on person-specific susceptibilities to envy, inspiration, and enjoyment. We conducted a three-week experience sampling study among 353 adolescents (13-15 years, 126 assessments per adolescent). Using a novel, N=1 method of analysis, we found sizeable heterogeneity in the associations of browsing with envy, inspiration, and enjoyment (e.g., for envy ranging from β = -.44 to β = +.71). The passivity hypothesis was confirmed for 20% of adolescents and rejected for 80%. More adolescents with browsing-induced envy experienced negative effects on well-being (25%) than adolescents with no browsing-induced envy (13%). Conversely, more adolescents with browsing-induced enjoyment experienced positive effects on well-being (47%) than adolescents with no browsing-induced enjoyment (9%).

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Section: Comparing Between-person and Within-person Associationssupporting

confidence: 91%

Social Media Browsing and Adolescent Well-Being: Challenging the “Passive Social Media Use Hypothesis”

Valkenburg¹,

Beyens²,

Pouwels³

et al. 2021

Preprint

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show abstract

“…Note that whereas similar points regarding within-participant inference have been made elsewhere (Grice et al, 2020; Nachev et al, 2019; Smith and Little, 2018; Thiebaut de Schotten and Shallice, 2017), such results are typically considered to form a case study, without an inferential link that allows generalization to the population (Neuroscience, 2020) 1 . The methods presented here address this concern by providing an inferential bridge from within-participant tests to the population level.…”

Section: Discussionmentioning

confidence: 95%

Bayesian inference of population prevalence

Ince

Kay

Schyns

2020

Preprint

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AbstractWithin neuroscience, psychology and neuroimaging, the most frequently used statistical approach is null-hypothesis significance testing (NHST) of the population mean. An interesting alternative is to perform NHST within individual participants and then infer, from the proportion of participants showing an effect, the prevalence of that effect in the population. We propose a novel Bayesian method to estimate such population prevalence which has several advantages over population mean NHST. First, it provides a population level inference currently missing for designs with small numbers of participants such as traditional psychophysics, animal electrophysiology and precision imaging. Second, it delivers a quantitative estimate with associated uncertainty instead of reducing an experiment to a binary inference on a population mean. Bayesian prevalence is widely applicable to a broad range of studies in neuroscience, psychology and neuroimaging. Its emphasis on detecting effects within individual participants could help address replicability issues. To facilitate the applicability of Bayesian prevalence, we provide code in Matlab, Python and R.

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“…Figure 2 (Grice et al, 2020). This suggests that preferring decreasing payments is not a matter of financial experience but financial expertise, because only expert MBAs preferred decreasing payments, and both non-expert MAs and BAs did not.…”

Section: Age Differencesmentioning

confidence: 92%

Time Value of Money and Happiness

López-Rousseau

Ketelaar

2021

RPSI

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An important question in the well-being literature is how earning and spending money makes people happy. Some studies have shown that people are happier when earning money in constant payments, and spending money on significant others. However, some findings suggest that people with financial expertise may have different preferences based on the time value of money. The current study was designed to address this issue by asking both financial novices and financial experts if earning money at decreasing, constant or increasing rates would make them happier. By replicating and, more

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Persons as Effect Sizes

Cited by 69 publications

References 44 publications

Social Media Browsing and Adolescent Well-Being: Challenging the “Passive Social Media Use Hypothesis”

Social Media Browsing and Adolescent Well-Being: Challenging the “Passive Social Media Use Hypothesis”

Bayesian inference of population prevalence

Time Value of Money and Happiness

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