Wojciech Świątkowski- PhD in Psychology
- Alumnus Senior Researcher at University of Lausanne
Wojciech Świątkowski
- PhD in Psychology
- Alumnus Senior Researcher at University of Lausanne
About
19
Publications
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Introduction
Current institution
Additional affiliations
February 2019 - May 2019
February 2016 - June 2017
October 2014 - September 2018
Education
January 2021 - December 2022
September 2014 - January 2019
September 2013 - June 2014
Publications
Publications (19)
In this chapter we delineate how competition circulates through education. First, we show how competitive ideologies, values and norms are transmitted from society to educational institutions, in particular ideologies and values such as meritocracy, the belief in a fair free market and neoliberalism, as well as norms such as productivism and employ...
Building on the Stereotype Content Model, the present work examined the heterogeneity of the stereotypes about older people. We aimed to broaden the range of perceived predictors of competence in older people and included respect in addition to status. Seventeen subtypes were selected in a pilot study (n = 77). The main study was conducted on a Fre...
French-speaking countries are aging fast, forcing them to accommodate their older population and, most likely, generating ageism. The present study aims to investigate this issue by examining the cross-cultural validity of a scale assessing prescriptive ageism: the Succession, Identity, Consumption scale. In four French-speaking countries (Canada,...
Why do eye-blinks activate during conversation? We manipulated informational content and communicative intent exchanged within dyads. By comparison to a silent situation, both emitters and receivers increased their blink rate when the former delivered a treasure hunt route to the latter. When the previously known route was repeated, or when the alp...
Consistently in achievement goal research, pursuing performance-avoidance goals has been associated with a decrease in achievement. Less is known to what extent this effect depends on the reasons underlying these goals’ endorsement. The present research uses a social value approach to assess how does performance-avoidance goals’ effects on achievem...
This paper is a reader-friendly introduction to Bayesian inference applied to psychological science. We begin by explaining the difference between frequentist and epistemic interpretations of probability that underpin respectively frequentist and Bayesian statistics. We use a concrete example – a student wondering whether s/he carries the virus sta...
Consistently across meta-analyses, performance-approach goal endorsement predicts
achievement positively and performance-avoidance goal predicts it negatively. However,
achievement goal research has not fully examined whether these effects depend on individuals’
regulatory focus. In this article we present small-scale meta-analyses conducted on six...
Drawing from achievement goal theory, this thesis investigates the relationship between the pursuit of performance-approach and performance-avoidance goals and cognitive and academic achievement. Building on a social psychology perspective to achievement goals, the present research proposes to investigate how social value reasons underlying goal en...
During nursing, a mother faces an infant who does not speak and hardly blinks. We established the eye-blinking rate in this special interactive context for comparison with the high rate repeatedly reported in between adult conversation. The 22 mothers we observed during bottle-feeding blinked much less—especially when talking to their infant—than w...
In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.
In response to recommendations to redefine statistical significance to p ≤ .005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.
Over the last few years, psychology researchers have become increasingly preoccupied with the question of whether findings from psychological studies are generally replicable. The debates have originated from some unfortunate events of scientific misconduct in the field, and have reached a climax with the recent discovery of a relatively weak rate...
L’image sociale de la personne âgée la réduit souvent à ses pertes (perte d’autonomie, pathologies de la vieillesse) et au poids économique qu’elle représente pour la société. Conformément à cette idée, les études s’inscrivant dans le Modèle du Contenu du Stéréotype indiquent que les personnes âgées sont généralement perçues comme chaleureuses mais...
Little is known about the development of eye blinking, a spontaneous activity mediated by dopamine, from the period in utero to six months after birth. We evaluated spontaneous eye blinking rates (SBR) for 11 full-term and 11 premature infants with their mothers. Dyads were videotaped during bottle-feeding in natural context: at birth, at term (for...
Les recherches portant sur le jugement social des aînés ont montré que ceux-ci sont vus à la fois comme chaleureux et incompétents. Cependant, ces études se sont focalisées sur la catégorie générale, supra-ordonnée personnes âgées. Or, la perspective sociocognitive des stéréotypes de l’âge (Hummert, 1999) suggère que la représentation des plus vieu...
Questions
Questions (4)
Hey everyone,
I would like to ask you about your insights on computing Bayes Factors for multilevel structured data. Any thoughts on convenient ways of computation / package / papers / blog posts / comments ? Any suggestion appreciated ! Thanks :)
Hello,
I would like to perform a meta-analysis on beta slopes from a regression model I use to analyse data from several studies.
However, I occasionnaly encouter some obvious outliers (for instance, a value of 4 on studentized deleted residuals) in a given data set.
Although I am aware of how to manage outliers in a single study, it seems to me that managing outliers in a meta-analysis might follow different rules and "policies".
Could anyone suggest a proper way (or provide a reference) to handle outliers in a small-scale meta-analysis ?
Thanks !
Wojciech
I have conducted several studies involving systematically the same continuous IVs in order to study their impact on my DV. In each study, I used the same multiple regression model to analyse the data, looking specifically on the beta slopes estimates. I would like to combine my data altogether by performing a meta-analysis on these beta slopes from these studies. I would be very grateful if you could share some insights regarding the (preferably free) software to use / package in R software / the way to do it… Thanks a lot !
I'm using multiple regressions to determine relationships between my DV and each of my IV. Therefore, I compute a ß slope for every single relationship. I would like to ground my interpretation of these effects based on "The New Statistics" (Cumming, 2012), and not only calculate 95% Confidence Intervals on these slopes (which so far isn't a big deal), but also to plot my Confidence Intervals on a graph in order to have a meaningfull visual representation of these. Could you advise any particular script, function, on package in R likely to help me ?
