Statistical Conclusion Validity

Question 1

Statistical Conclusion Validity

Answer 1

whether or not they are drawing the appropriate conclusions from the stats that have been run and that you ran the right stats

Question 2

2 Considerations of Statistical Conclusion Validity

Answer 2

1. Proper Treatment of Data

2. Soundness of Researcher’s conclusions

Question 3

Proper Treatment of Data

Answer 3

• assumptions (big enough N, normal distribution etc)

- debate over robustness of inferential statistical tests

Question 4

Soundness of Researcher’s conclusions

Answer 4

type 1 errors

type 2 errors: normally happen because you don’t have enough statistical power

Question 5

Internal Validity

Answer 5

refers to the idea that we are confident because of how we set up our research that exposure to the independent variable and not any other factor has caused the difference in our dependent variable

Question 6

External Validity

Answer 6

the generalization of variables across

1. populations
2. settings
3. species

Question 7

Ecological Validity

Answer 7

participants experience is going to correspond with what they would encounter in daily life

Question 8

mundane realism

Answer 8

everything in the lab maps on perfectly to what you would see in the real world

Question 9

trade offs

Answer 9

• difficult to satisfy all four validities in same study
• financial and or time considerations can cause researchers to sacrifice construct validity
• the methods themselves involve tradeoffs between internal and external validity

Question 10

best solution to these trade offs

Answer 10

collect converging evidence using multiple methods