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Ordinal regression models in psychology: A tutorial
Ordinal variables, although extremely common in psychology, are almost exclusively
analyzed with statistical models that falsely assume them to be metric. This practice can lead …
analyzed with statistical models that falsely assume them to be metric. This practice can lead …
When null hypothesis significance testing is unsuitable for research: a reassessment
Null hypothesis significance testing (NHST) has several shortcomings that are likely
contributing factors behind the widely debated replication crisis of (cognitive) neuroscience …
contributing factors behind the widely debated replication crisis of (cognitive) neuroscience …
Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications
Bayesian parameter estimation and Bayesian hypothesis testing present attractive
alternatives to classical inference using confidence intervals and p values. In part I of this …
alternatives to classical inference using confidence intervals and p values. In part I of this …
Using the confidence interval confidently
A Hazra - Journal of thoracic disease, 2017 - pmc.ncbi.nlm.nih.gov
Biomedical research is seldom done with entire populations but rather with samples drawn
from a population. Although we work with samples, our goal is to describe and draw …
from a population. Although we work with samples, our goal is to describe and draw …
Statistical rituals: The replication delusion and how we got there
G Gigerenzer - Advances in Methods and Practices in …, 2018 - journals.sagepub.com
The “replication crisis” has been attributed to misguided external incentives gamed by
researchers (the strategic-game hypothesis). Here, I want to draw attention to a …
researchers (the strategic-game hypothesis). Here, I want to draw attention to a …
The fallacy of placing confidence in confidence intervals
Interval estimates–estimates of parameters that include an allowance for sampling
uncertainty–have long been touted as a key component of statistical analyses. There are …
uncertainty–have long been touted as a key component of statistical analyses. There are …
Bayesian structural equation modeling in sport and exercise psychology
Bayesian statistics is on the rise in mainstream psychology, but applications in sport and
exercise psychology research are scarce. In this article, the foundations of Bayesian …
exercise psychology research are scarce. In this article, the foundations of Bayesian …
Regression assumptions in clinical psychology research practice—a systematic review of common misconceptions
Misconceptions about the assumptions behind the standard linear regression model are
widespread and dangerous. These lead to using linear regression when inappropriate, and …
widespread and dangerous. These lead to using linear regression when inappropriate, and …
Corporate social responsibility as a source of competitive advantage in large enterprises
The competitive advantage of enterprises in the conditions of market economy is not
generated merely by ensuring high quality products and services. Therefore, in their …
generated merely by ensuring high quality products and services. Therefore, in their …
[HTML][HTML] Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data
The psychometric function describes how an experimental variable, such as stimulus
strength, influences the behaviour of an observer. Estimation of psychometric functions from …
strength, influences the behaviour of an observer. Estimation of psychometric functions from …