1. Internet and computer research

2. Presentations
Smart phones
Virtual reality

3. Papers
Due tonight! Any questions?

4. Examples of internet research
Why is it used?
Why should it be?
When should it NOT be?
Examples of
Translational
Phenomenological
Novel

5. Ways to recruit online (and issues?)
Standard populations
Respondent-driven sampling
Targeted populations
Crowdsourcing (we’ll come back to this one)

6. Issues with online studies
What are some issues/potential problems?
Any solutions for these?
What are advantages to doing studies online?
What about advantages and disadvantages to big data?

7. What is the future of internet research?
Big data—what are some particular issues with this method?
Smartphones

8. mTurk Issues with samples Motivation Demographics Non-naïve
Social desirability
Cross-talk

9. Arguments for/against IMCs

10. Necka, Cacioppo, Norman, & Cacioppo, 2016
Compared mTurk to campus (not just intro) and community (panel) participants
Reported on how often they or others did behaviors
Issues/thoughts on the study?

11. Differences between groups (Necka et al., 2016)
Multitask
Look things up
Lie on age and gender
Look for researchers they know
Table 2—other interesting findings?
How much are these results due to lab vs. online?

12. To get better data
Illustrate that important study
Make interesting

13. Facebook data How are Facebook and other OSNs used in research?
Should we be worried or excited or both?
What does Facebook research tell us that’s new?

14. Fig. 1. Facebook users and articles: Cumulative totals by year.
Wilson, Gosling, & Graham. Perspectives on Psychological Science 2012;7:
Copyright © by Association for Psychological Science

15. Table 1. Areas of Facebook Research Identified in the Literature Review.
Wilson, Gosling, & Graham. Perspectives on Psychological Science 2012;7:
Copyright © by Association for Psychological Science

16. Table 2. Number of Articles Published by Category and Year .
Wilson R E et al. Perspectives on Psychological Science 2012;7:
Copyright © by Association for Psychological Science

17. T3 study (Lewis et al., 2008) Social network analysis
What types of data did they collect/code?
What about the measures of ethnicity and SES?
Who/what are Facebook friends?
Which type of internet study would this be?

18. More T3 Is it okay to get this type of data? To make it available?
What are the main types of problems with this type of study? Positives?
How could spatial stats be used in a study like this?
What are some results from this study? (tables, p. 337)

19. Further research

20. Parameter estimates β and 95% confidence intervals for selection and influence effects from 15 models of the coevolution of friendships and tastes (n = 211 for music, n = 201 for movies, n = 191 for books).
Parameter estimates β and 95% confidence intervals for selection and influence effects from 15 models of the coevolution of friendships and tastes (n = 211 for music, n = 201 for movies, n = 191 for books). Significant coefficients are labeled with an asterisk, where a coefficient is considered significant if the 95% confidence interval does not contain β = 0. Selection effects measure the tendency for a tie to develop between two students who both express tastes in the given cluster; influence effects measure the tendency for students whose friends express tastes in the given cluster to themselves adopt tastes in that cluster (SI Materials and Methods, Coevolution of Tastes and Friendships).
Lewis K et al. PNAS 2012;109:68-72
©2012 by National Academy of Sciences

21. Next week Class on TUESDAY (12:30) One reading will be emailed to you
Others available online
3 presentations next week (come see me)