SPSS
Methods
ANOVAs & Factorials
Validities, threats and effects
100

This is the statistical value we get for a correlation

What is Pearson's r?

100

In this case, we can let chance account for variations between groups

What is random assignment?

100

A 3x2x3x4x2 factorial design has this many variables

What is 5?

100

These are common threats to statistical validity

What are: Restricted range, violated assumptions, fishing/error rate issues, etc

200

Cronbach's alpha, for example

What is a measure of internal consistency?

200

Some benefits of this type of research are that you can use it for exploratory research, you can get more detailed subjective information, and it can help you generate new ideas

What is qualitative research?

200

The researcher measured therapy clients 6 months after attending therapy. They manipulated the type of therapy (CBT or psychotherapy); the length of the therapy (1 month or 2 months); and they measured gender (men, women, non-binary) - write the design of this experiment

What is a 2x2x3 factorial design?

200

This means the accuracy of a test

What is validity?

300

This is a measure of effect size in a t-test

What is cohen's d?

300

This happens when you run multiple tests and do not correct your p-value to account for it

What is inflate your type one error rate?
300

This is how you determine you have a mixed factorial rather than just a factorial

What is having both within-subjects and between-subjects variables?

300

This is what you want to account for when you are trying to get your subjects to believe your experimental design

What is psychological realism/ecological validity...

400

You would use this if you needed to correct for an inflated type one error rate but you did not plan to account for this ahead of time

What is a post hoc analysis?

400

This is the maximum number of IV's you can have in an experiment and how this would impact your study

What is as many as you want, you would just need more subjects?

400
This is the measure of effect size for an ANOVA

What is an eta squared?

400

The effect present when people act differently when they are being observed

What is the Hawthorne effect/observer effect?

500

This is a test you can run to help you predict relationships, it cannot provide information on causation

What is a regression?

500

This is a result that depends on multiple variables; two or more variables act reciprocally to produce a unique effect

What is an interaction effect?

500

This is what we look at to see if any of the pairs in an ANOVA were significant. If this value is not significant, there are no significant pairs in the ANOVA.

What is the F value?

500

When measuring a group of participants 6 months apart, (Time point A in January, Time point B in June); these are some issues that can arise

What are maturation effects, history effects?