SPSS
This is the statistical value we get for a correlation
What is Pearson's r?
In this case, we can let random chance account for variations between groups
A 3x2x3x4x2 factorial design has this many variables
What is 5?
These are common threats to statistical validity
What are: Restricted range, violated assumptions, fishing/error rate issues, etc
Cronbach's alpha, for example
What is a measure of internal consistency?
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?
The researcher measured therapy clients before, during, 1 week after and 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 2x2x3x4 mixed factorial design?
This validity evaluates the extent to which a test or measure is related to other tests that are supposed to measure the same or similar constructs
What is convergent validity?
This is a measure of effect size in a t-test
What is cohen's d?
This happens when you run multiple tests and do not correct your p-value to account for it
This is how you determine you have a mixed factorial rather than just a factorial
What is having multiple IVs and DVs (within and between measurements)?
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?
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?
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?
What is an eta squared?
The effect present when people act differently when they are being observed
What is the Hawthorne effect?
This is a test you can run to help you predict relationships, it cannot provide information on causation
What is a regression?
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?
This is what we look at to see if the overall model is a good fit; and this is how we see what pairs of factors had the significant impacts
What is the F value and the planned comparisons?
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?