What is the standard deviation of the predictor variable?

Conjoint analysis gives marketing insight into consumer preferences and favored attributes. In this lesson, you'll learn more about why conjoint analysis is important and how to set up a basic model.

Watch this video lesson to learn what effect size is when used in hypothesis testing. Also learn what significance it has in your testing. Learn how your data affects the effect size.

The purpose of research is to find things out about the world at large. But there are several things that can get in the way of external validity. In this lesson, we'll examine novelty effects, test sensitization, and measurement timing.

Let's examine three of the most common research designs in personality psychology: case study, correlational study, and experimental study. We'll discuss their strengths and weaknesses and the types of inferences they allow us to make.

External validity is a key component of research. In this lesson, we'll look at several different ways to increase external validity, including aggregation, nonreactive measures, and field research.

In this lesson, we'll learn about the field of bivariate statistics. You'll explore the types of tests used and see examples of this form of statistics in the real world.

In this lesson, we'll use real-life examples and charts to learn about restriction of range, a statistical technique in which only part of the data available is used to find the connection between two variables or quantities.

In this lesson, you'll learn how to apply principles of experimental research in the specific area of industrial/organizational psychology. We'll discuss how to design a study that utilizes correct sampling, reliability, validity, data collection and analysis, and how to draw conclusions borne out by our data.

Sometimes, participants in an experiment can change the outcome. In this lesson, we'll look at some of the extraneous variables caused by participants: self-selection bias, demand characteristics, and good-subject bias.

When you have more than one independent variable, sometimes you want to look at how they work independent of each other. In this lesson, we'll examine main effects in factorial design and how they differ from interactions.

When a study has a factorial design, the two independent variables can interact with each other to affect the dependent variable. In this lesson, we'll look at what interactions are, what they look like, and what a crossover interaction is.

This lesson will provide a summary of the short story ''Voices'' by Nobel Prize winning author Alice Munro. The story captures a particular moment in time in both the life of its narrator and the larger world.

A factor analysis is a statistical procedure that is used in order to find underlying groups of related factors in a set of observable variables. Learn about the different types of factor analyses and more.

In this lesson, we will discuss the behavioral inhibition system. We'll learn more about the behavioral inhibition system and how it differs from the behavioral activation system. At the end, you can test your knowledge with a quiz.

Many times in research, a psychologist wants to look at two or more groups to see which condition works best. In this lesson, we'll look at some of the strengths and weaknesses of the between-subjects design and how to form equivalent groups.

Internal validity is a scientific concept that addresses the relationship between two variables. It refers to the extent that a study can rule out or make unlikely alternate explanations of the results.