Variables
Design
Measurement
Hypothesis testing
Sampling and Distributions
100

The variable whose values are chosen or manipulated by the researcher.

What is the independent variable?

100

In this design, a researcher does not directly manipulate the IV. For example, seeing the effects of gender on emotional expression. 

What is a quasi-experimental design?

100

A scale comprising items that ask for ratings, often with 7 points, of a respondent’s strength of agreement or disagreement with a number of statements.

What is a Likert Scale?

100

A statement about the population that we wish to test and states that there has been no change, or that an effect is zero.

What is a null hypothesis?

100

A usually very large set of people about which we are interested in drawing conclusions.

What is a population?

200

The condition that provides a baseline or starting point for a comparison

What is the control condition?

200

In this design, each participant is tested on only one of conditions being compared.

What is a between subjects design?

200

A measure of the strength of association between two variables, such as Pretest and Posttest; It can take values from −1 through 0 to 1.

What is r, or a correlation?

200

This is the probability of obtaining the observed result or more extreme, IF the null hypothesis is true.

What is a p value?

200

This distribution is more complex than the z distribution—it depends on the degrees of freedom.

What is the t distribution?

300

The different values taken by the independent variable. Also called conditions or treatments.

What are levels?

300

Uses random assignment of participants to groups or conditions—to the different levels of the IV that is being manipulated. It is used to justify a causal conclusion

What is an experiment/ experimental design?

300

A pictorial representation of the relation between X and Y, in which each data pair is represented by a dot.

What is a scatterplot?

300

This type of test includes values that differ in one direction from the null hypothesis value. For example, H1: m > 50.

What is a directional/one tailed test?

300

This theorem states that the sum, or the mean, of a number of independent variables has, approximately, a normal distribution, almost whatever the distributions of those variables.

What is the central limit theorem?

400

An unwanted difference between groups, which is likely to limit the conclusions we can draw from a study.

What is a confound/ confounding variable?

400

In this design, all levels of the variable are seen by a single groups of participants.

What is within subjects/ repeated measures?

400

A measurement is said to have a high amount of this when the measurement is consistent.  

What is reliability?

400

This is a false positive, or the rejection of H0 when it’s true.

What is Type 1 Error?

400

The standard deviation of the sampling distribution of the sample mean

What is the standard error?

500

A variable that can take any of the unlimited number of values in some range

What is a continuous variable?

500

The assignment of different participants to different orders of presentation, or different versions of the same condition, to reduce carryover effects.

What is counterbalancing?

500

Independent variables in t and F tests must be this type of variable/ level measurement. 

What is categorical/nominal?

500

This test uses a p value to test the null hypothesis of zero difference between two means in a between subjects study.

What is an independent samples t-test?

500

A smooth curve that plots probability density against X. Areas under the curve represent probability, and the total area under the curve is 1.

What is a probability distribution/ probability density function?