Conceptual and Statistical Knowledge

 

In Praise of the Null Hypothesis Statistical Test

Jacob Cohen (see record 1995-12080-001) raised a number of questions about the logic and information value of the null hypothesis statistical test (NHST). Specifically, he suggested that: (1) The NHST does not tell us what we want to know; (2) the …

Inappropriate fiddling with statistical analyses to obtain a desirable p-value: tests to detect its presence in published literature.

Much has been written regarding p-values below certain thresholds (most notably 0.05) denoting statistical significance and the tendency of such p-values to be more readily publishable in peer-reviewed journals. Intuition suggests that there may be a …

Inconsistent multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses

During multiple testing, researchers often adjust their alpha level to control the familywise error rate for a statistical inference about a joint union alternative hypothesis (e.g., “H1,1 or H1,2”). However, in some cases, they do not make this …

Incorporating ecological momentary assessment into multimethod investigations of cognitive aging: Promise and practical considerations

Ecological momentary assessment (EMA) represents a promising approach to study cognitive aging. In contrast to laboratory-based studies, EMA involves the repeated sampling of experiences in daily life contexts, enabling investigators to gain access …

Increasing transparency through open science badges

Conservation science is a multidisciplinary and collaborative discipline. This journal's policy is to encourage transparent and open practices in science, including sharing of data, code, and survey instruments. Such practices are especially …

Interpreting confidence intervals

A blog about the visualisation of Confidence intervals

Interpreting Correlations: an interactive visualization

Correlation is one of the most widely used tools in statistics. The correlation coefficient summarizes the association between two variables. In this visualization I show a scatter plot of two variables with a given correlation. The variables are …

Interpreting Effect Sizes and Confidence Intervals

Pre-requisites: - Basic research methods knowledge - Perhaps some basic introductory statistical knowledge - If running the seminar exercise (extra), basic familiarity with R Learning outcomes: 1. Students understand that confidence intervals are …

Interpreting effect sizes: Toward a quantitative cumulative social psychology

Improved research practice is based on estimation of effect sizes rather than statistical significance. We discuss the challenging task of interpreting effect sizes in the research context, with particular attention to social psychological research. …

Intro to the special issue

A paper about a special issue on cognitive modelling