2022
DOI: 10.1016/j.tics.2022.05.008
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Within-participant statistics for cognitive science

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Cited by 46 publications
(42 citation statements)
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“…Such a separation is possible because the results do not come from an overly large number of subjects. Moreover, we use the population-prevalence approach to quantify how common each effect is (Ince et al, 2022 ). However, we avoided the maximum-a-posteriori estimate of prevalence because our number of subjects was too small for such a technique.…”
Section: Discussionmentioning
confidence: 99%
“…Such a separation is possible because the results do not come from an overly large number of subjects. Moreover, we use the population-prevalence approach to quantify how common each effect is (Ince et al, 2022 ). However, we avoided the maximum-a-posteriori estimate of prevalence because our number of subjects was too small for such a technique.…”
Section: Discussionmentioning
confidence: 99%
“…The power analysis indicated that the minimum number of participants required for a repeated measures ANOVA with at least two variables (e.g., switch proportion block, thought-probe response) to achieve 80% power given an alpha of .05 was 10, thus indicating that our final sample size of 16 was sufficient. Note that the use of within-participant designs should provide results that are less susceptible to the issues underlying the replication crisis (Ince et al, 2022).…”
Section: Methods Participantsmentioning
confidence: 99%
“…A second, probably more radical approach, but partly related to the aspects mentioned above, is changing current data analysis strategies. This has recently been proposed by Ince et al (2022). The central point Ince et al (2022) make also refers to the problems regarding the replicability of findings, that is, the existence of an effect (see discussion on the base rate as well as the criticism on classical null hypothesis testing).…”
Section: Topic 2: De-stigmatization Of Mental Health Conditionsmentioning
confidence: 99%
“…The central point Ince et al (2022) make also refers to the problems regarding the replicability of findings, that is, the existence of an effect (see discussion on the base rate as well as the criticism on classical null hypothesis testing). Ince et al (2022) argue for the calculation of the population prevalence (i.e., the proportion of the population that would show the effect if tested in this experiment) as an alternative approach to analysing data. In this approach, each individual is tested not only once but serves as its own control in repeated testings.…”
Section: Introductionmentioning
confidence: 99%
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