Central tendency and spread
Variables and measurement
Single factor tests
Tests for Multivariable designs
Experimental design
100

Another term for this measure of central tendency is "average."

What is mean?

100

In an experiment, you manipulate this to see the effect on this

What is the IV to see the effect on the DV?
100

This is the type of test I would conduct if I measure the DV at two different timepoints from each individual in my sample. 

What is repeated measures/ dependent samples t-test?

100

This is the type of ANOVA that is conducted when there are two independent variables. 

What is two-way ANOVA. 

100

Correlational designs look at whether a relationship exists between two variables, where experimental designs look at whether THIS TYPE of relationship exists between two variables. 

What is a causal relationship?

200

This is the best measure of central tendency when you have skewed data.

What is median?

200

Any variable that only has two options for responses (e.g., true/false; yes/no) is said to be this. 

Dichotomous; Will also accept categorical or nominal. 

200

These are two characteristics of the t-distribution. 

What are: Symmetrical, centered at 0, shape varies according to sample size/df

200

After confirming a significant omnibus test, these follow-up tests confirm which levels of a factor are significantly different from each other. 

What are pairwise comparisons? 

200

These are two types of experimental designs, which often refer to whether there is one or more group, or how individuals are assigned to groups. 

What are within-subject, between subject, mixed, factorial, or single-case designs?

300

This, conceptually, is the average distance between each data point and the mean. 

What is the standard deviation?

300

Temperature (in Celsius) is this type of variable/ has this scale of measure.

What is interval?

300

This is the type of test one would conduct to see if a battery manufacturing company wants to see if their batteries last an average of 40 hours, with sigma unknown.

What is a single sample t-test?

300

These type of pairwise comparisons are conducted after confirming that there is a significant interaction.

What are simple effects tests?

300

This type of experimental design examines the relationship between pre-existing variables that cannot be directly manipulated by the experimenter. 

What is a quasi-experimental design?

400

Name one measure of central tendency and one measure of spread that is sensitive to extremes.

What is Mean, and pretty much any measure of spread?

400

These are two examples of an ordinal variable. 

What is... Dr. Robbins will check your answers. 

400

This is the type of test one would conduct to see if a battery manufacturing company wants to see if their batteries last an average of 40 hours, with the population standard deviation of all batteries know to be 2 hours. 

What is a z-test?

400

Conducting a two-way ANOVA is better than conducting 2 one-way ANOVAs for these reasons (name 2). 

What are... Multivariable ANOVAs reduce Type I error rate, allow for exploration of interaction effect, and are more powerful

400

Having a high degree of control in an experiment can ensure that changes in the IV are strictly due to changes in the DV. Our confidence that this happens in our experiments is also known as THIS. 

What is internal validity?

500

This is the measure of spread in the sampling distribution of the mean. 

What is the standard error?

500

By examining the degree to which repeatedly using the same instrument/measure on the same group of people produces similar scores, a researcher can estimate THIS aspect of the instrument.

What is reliability?

500

This is the test I would conduct if I'm testing the effect of travel on stress levels by measuring stress from a group of individuals departing an airport and comparing that to stress of a group that is arriving to the airport. 

What is an independent samples t-test?

500

This is the number of F-tests that are conducted with a 2x3x3 between-subjects design. 

3 main effects tests, 3 2-way interaction effects, and 1 3-way interaction effect = 7 F-tests
500

These are at least 2 threats to internal validity.

Demand characteristics, reactivity effects (order, Hawthorne, testing), instrumentation effects, selection effects, maturation effects, history effects, confounding variables

M
e
n
u