Conceptual and Statistical Knowledge

 

Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power.

Traditional methods of analyzing data from psychological experiments are based on the assumption that there is a single random factor (normally participants) to which generalization is sought. However, many studies involve at least two random factors …

Exploratory Factor Analysis

This book provides a non-mathematical introduction to the underlying theory of Efa and reviews the key decisions that must be made in its implementation. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the …

Exploratory hypothesis tests can be more compelling than confirmatory hypothesis tests

Preregistration has been proposed as a useful method for making a publicly verifiable distinction between confirmatory hypothesis tests, which involve planned tests of ante hoc hypotheses, and exploratory hypothesis tests, which involve unplanned …

False Positive Psychology

A lecture on when analysis goes wrong A look at false-positive psychology

Falsely Reassuring: Analyses of ALL p-values

A blog post that describes analyses of all p-values

FORRT’s Open and Reproducible Science Syllabus

To provide educators with an example of how they can draw resources from FORRT’s educational nexus to integrate open scholarship into their teaching, FORRT has developed an Open and Reproducible Science 101 syllabus.

GGPlot Colors Best Tricks You Will Love

This article presents multiple great solutions you should know for changing ggplot colors.

Good Science, Bad Science

A syllabi about open science: good science and bad science.

Graduate Research Methods

Completion of this course will provide a foundation for the practice of science. We will wrestle with the fundamental issues for designing and executing a program of research, and in the interpretation and reporting of research results. The class is …

Graphical Causal Models

This chapter discusses the use of directed acyclic graphs (DAGs) for causal inference in the observational social sciences. It focuses on DAGs’ main uses, discusses central principles, and gives applied examples. DAGs are visual representations of …