This chapter describes the basics of scientific figures. It provides tips for identifying different types of figures, such as experimental protocol figures, data figures, and summary figures. There is a description of ways to compare groups and of different types of variables. A short discussion of statistics is included, describing elements such as central tendency, dispersion, uncertainty, outliers, distributions, and statistical tests to assess differences. Following that is a short overview of a few of the more common graph types, such as bar graphs, boxplots, violin plots, and raincloud plots, describing the advantages that each provides. The end of the chapter is an “Understanding Graphs at a Glance” section which gives the reader a step-by-step outline for interpreting many of the graphs commonly used in neuroscience research, applicable independently of the methodology used to collect those data.

GAL is one of the most ambitious projects to capture the role of procedure in global governance. Other concepts are briefly introduced and compared. The idea of procedural justice as akin to GAL in scope but focusing on perceptions of fairness and legitimacy rather than normativity emerges.

The main strands of international relations theory regarding institutions are briefly introduced. The work focuses on rational choice, notably Rational Institutional Design theory.

To unite the concept of procedural justice with the perspective and methods of rational institutional design, the factor of state interest is studied. It is shown how state interest can operate even within nominally private institutions and which factors determine whether and how a state is interested in introducing procedural justice.

The codebook variables creating the matrix of sensitivity of state interest - quantitative and qualitative procedural density is introduced. The mode of sample collection is explained.

Experiments allow researchers to determine cause and effect relations between variables. As such, they are a critical component in the advance of scientific psychology. In this chapter, we discuss the theory behind the design of good experiments, and provide a sample study for evaluation. We outline three important types of replication, and give an overview of historical events that led to a renewed vigilance regarding replicability. Finally, we discuss generalizability of research in terms of four factors: Subjects (or participants), materials used in the experiment, dependent measures, and the experimental situation. Effects that generalize across these sets of factors are robust. We end the chapter with a set of 18 critical-thinking questions that should be borne in mind while reading and evaluating experimental research. Referring to these questions will help to sharpen critical thinking skills about experimental research.