Exam Two Flashcards
de Abreu, Gathercole, and Martin (2011) found that the correlation of non-word repetition and digit recall in a memory was r = .59. Based on Cohen’s (1992) guidelines, how would you describe this effect size?
Large
Which type of validity is typically not relevant to association claims?
- stat
- construct
- internal
- external
internal
((Interrogating Association Claims — Internal validity is typically not relevant to association claims because both variables are being measured, and neither is being manipulated.))
There is a strong positive association between years of education and income. The mean income for American adults in 2005 was $32,000 and the average number of years of education was 12. Mr. Lopez has 16 years of education. What would you predict about his income?
- The best estimate would be the mean income of $32,000.
- His income is probably higher than $32,000.
- His income is probably lower than $32,000.
- There isn’t enough information to make a prediction about whether his income is more or less than the average.
Income is higher than 32,000
Cross-lagged designs
cause must precede effect, only suggestive
What other information, in addition to effect size, must you know in order to determine if a correlation is statistically significant?
- direction of association
- scale of scallterplot
- sample size
- external validity
Sample size ((Effect Size, Sample Size, and Significance — Larger samples are less easily affected by chance so a small correlation can be significant if the sample size is large.))
Nesta is making a scatterplot of the digit spans (how many numbers you can remember and repeat back) for his psychology class, with the spans for digits the students hear on one axis and the span for digits the students read on the other. The association is strong, but he notices that one student has a visual digit span that is twice as long as anyone else. What statistical validity question is he raising?
could outliers be affecting this relationship?
Longitudinal designs
- can rule out some casual explanations because of temporal presedence
- cant tell you cause and effect, but can predict it!
- Good to do if there’s ethical implications
Difficulty w longitudinal study
hard to follow people throughout time
If the relationship between two variables changes depending on the level of another variable, what is this other variable called?
In association research, when the relationship between two variables changes depending on the level of a third variable, the third variable is called a moderator. Gender moderates the relationship between extroversion and group conversations in Table 8.6.
Vida is studying the connection between school grades and time spent using social media. She finds a strong correlation, showing the students with lower grades spend more time using social media. She decides that before she can claim that increased use of social media causes grades to drop she must make sure that the social media came before the low grades. What criterion of causality is she concerned with?
Temporal Presedence
When is an outlier most likely to be problematic?
- when the sample size is large and the outlier is extreme on both variables
- when the sample size is small and the outlier is extreme on one of the variables
- when the sample size is small and the outlier is extreme on both variables
- when the sample size is large and the outlier is extreme on one of the variables
when the sample size is small and the outlier is extreme on both varibles
Professor Schwartz does a study that examines the relationship between time spent at a shopping mall and happiness. She finds that for women, the more time in the mall is associated with higher levels of happiness. She finds that for men, the more time in the mall is associated with lower levels of happiness. What is the moderator in this relationship?
GENDER
Multiple regression
helps rule out some third variables (must be measured and ruled out)
Professor Fofana wonders if there is an association between students’ grades and whether they complete extra credit in his classes. He makes a scatterplot, with the number of extra credit points earned on the x-axis and the numerical grade in his course without extra credit on the y-axis. He finds that r = 0.28. What does this correlation tell him about which students take advantage of the extra credit option?
Students w higher grades are more likely than students w lower grades to do extra credit work
Professor Fofana wonders if there is an association between students’ grades and whether they complete extra credit in his classes. He makes a scatterplot, with the number of extra credit points earned on the x-axis and the numerical grade in his course without extra credit on the y-axis. He finds that r = 0.28. In addition to this correlation coefficient, what other information would Professor Fofana need to determine if this result is statistically significant?
Sample size
Dr. Thompson researches gang-related crime in Chicago. She notices that more graffiti appears when there are more ice cream trucks in town. She does a study that measures the frequency of new graffiti being reported and ice cream truck sales for each week over a year. She finds a positive association between ice cream truck sales and graffiti and concludes that the ice cream trucks are encouraging graffiti. Her colleague, Dr. Richardson, points out that both ice cream sales and graffiti might be influenced by rising temperatures during the summer. What kind of problem has Dr. Richardson identified?
third variable problem