RESEARCH DESIGN

 

Spring 2018

 

Class Information

Instructor Information

PSYCH 6002

Helen C. Harton, Ph.D.

Bartlett 34

Bartlett 2080

W 12-2:45 pm

273-2235; harton@uni.edu

 

 

Office Hours: M 3-4; WF 11-11:50

 

 

Readings:

You’ll have several articles and/or chapters to read each week. Some may be a review, whereas others may require three readings to fully understand them. Readings will come from your textbook and peer-reviewed journals, as well as other online sources, including blog posts and podcasts. I’ve linked to the readings for your convenience. You may have to be logged in to the UNI system in order for some links to work. It’s also possible that some links may no longer be live in a couple of months. In any case, you should be able to easily locate the articles.

 

Trochim, W., & Donnelly, J. P. (2007). The research methods knowledge base (3rd ed.). Cincinnati, OH: Atomic Dog Publishing. (most of this book should be a review)

 

Other articles and chapters as listed below.

 

Course Description and Objectives: Research is at the heart of psychology; psychology’s focus on research and empirical evidence is one of the things that differentiate the field from other similar disciplines. In this course, you’ll learn about the basics of research and current trends in the field, explore several “hot topics” or newer methods in psychology, and become a better designer, describer, and critical reader of research. The course is designed to give you a breadth of knowledge on research design in psychology and to facilitate your future research career and thesis progress. This is an exciting time to be learning about methods in psychology! There are lots of current changes and controversies in methods and statistics, and we’ll discuss many of those in class.

 

By the end of this course, you should:

 

1) know the advantages and disadvantages of the commonly used methods in psychology and when to best apply them;

2) know the advantages and disadvantages of several newer methodologies in psychology;

3) be able to critique and integrate previous research;

4) be more aware of ethical concerns in research and how to deal with them;

5) be a better scientific writer;

6) be a better consumer of research;

7) be able to design and carry out your own research project; and

8) have made significant progress on your thesis.

 

Resources to help you learn more about methods and do better research: As I noted before, right now is a very exciting (and sometimes scary) time for those interested in psychological methods. To learn more about current issues, I suggest that you subscribe to Facebook groups and/or blogs that deal with some of these issues. Here are some options:

PsychMAP in Facebook

Psychological Methods Discussion Group in Facebook

Retractionwatch.com

Personality psychology meta-blog

Psychological Methods Blog Feed

 

If you’re into podcasts, check out The Black Goat, for entertaining discussions of methodical issues by three young psychologists heavily involved in the Open Science movement.

 

There are also psychologists interested in these issues who are really active on Twitter and who have active blogs.

 

In addition, there are websites that you may find useful:

http://statcheck.io/ – you can upload your paper here to have it automatically check whether your analyses match your p-levels. Very easy to use and helpful!

https://osf.io/view/studyswap/ --website of people looking for or offering help with studies. Great way to get collaborators from other regions/countries

http://curatescience.org/ -- searchable table of replications in social and cognitive psychology

 

There are many others like these—these are just some I’ve used.

 

Course Format: Each week you will have several readings that you should have processed and thought about before class. In class, we will discuss the readings and the issues they bring up. You should contribute thoughtfully to the discussion and build on and gently challenge the comments of other students. I will sometimes provide background information for a topic, but this is not a lecture class.

 

Course Requirements: There are several types of assignments in this class. Each are designed to help you understand research methods in psychology better, apply and critique methods better, and/or to progress on your thesis. I don’t assign things as busywork. It takes me a long time to read and provide feedback on your work, and I’m not going to do that unless I believe you’ll benefit. Practicing concepts through multiple, smaller assignments helps you to retain information (e.g., Lang, 2016). This course is a lot of work, but it’s a foundational course that will be important to your future as a psychologist (or general consumer of information). It will also help you immensely on your thesis.

 

Discussion                               18%

Thought papers                       12%

Method presentation               4%

Method assignments               8% (see breakdown by assignment in that section)

Proposal assignments              8% (see breakdown by assignment in that section)

Proposal                                  30%

Proposal presentation              10%

Final exam                               10%

 

Class discussion (18%). In graduate school especially, you learn not only from books and professors, but from interactions and discussions with peers. Discussing information also helps you to think about it more deeply and learn it more quickly. You are expected to contribute meaningfully to class discussions. While mere attendance is not enough to get a good grade for this component, it is imperative in that you can’t participate if you’re not here. Obviously, it also requires that you read and think about the readings. Both frequency and quality count. You will get graded on discussion each week; you can drop your lowest score. If we don’t get an adequate amount of participation from everyone, I reserve the right to add weekly quizzes. This is your class—take it seriously and share your thoughts. I look forward to learning from our discussions.

 

Thought papers (12%). Each week you’ll also be asked to email me a short (1-2 pages) thought paper addressing the readings for the week. These emails should have “thought paper” in the subject line and be sent by midnight Monday nights (just paste it in the message instead of attaching it). You should address each of the readings to some extent in your paper, although you may sometimes want to mainly focus on one or another. You want to show me that you’ve read, understood, and carefully processed the readings for the week. Think about how these readings relate to your thesis; bring up questions you have; relate the readings to other things you know. The purpose of these assignments is to get you thinking more deeply about the method and its application to your research and to facilitate in-class discussion. You want to go beyond just summarizing the readings, though you may do some of that as well. You can drop your lowest thought paper score. If you turn in one the first week of classes, you can drop your lowest two.

 

      Discussion and thought papers will be graded on the following scale:

            0 = not there

            2 = attended but didn’t participate, or turned in, but not very relevant (below average)

            3 = comments or questions relevant, but didn’t involve much insight (average)

            4 = comments or questions relevant and insightful (good)

            5 = more than one comment or question showed a significant contribution (excellent)

 

Method presentation (4%). You will also present on a particular method or “hot topic.” For your topic presentation, you should have at least four references—two of these should be sources discussing the method itself (advantages and disadvantages) and two should be articles that used the method. In your presentation, you should a) describe the method; b) explain how it is used in psychology; c) talk about considerations, advantages, disadvantages, best practices etc.; d) describe and critique at least 2 studies that used the method (e.g., Did they use the method well? Should they have done something else? Why was it a good method for this question?). For some topics, I have particular questions or articles that I would like for you to use in your presentation. It is your responsibility to set up a brief meeting with me at least 1 week before your presentation to make sure you are clear on what the method is and that you have the sources you need. Presentations should be 10-15 minutes (including time for questions) and include your references in your final slide. Send me a copy of your Powerpoints before the presentation. Go to https://docs.google.com/a/uni.edu/spreadsheets/d/1F0njBwJNJJUKkzSFppHcV2hXewdu6HdvArhhl42pH20/edit?usp=sharing to sign up for a topic and time. NOTE: You have to do this from your UNI google account.

 

Method assignments (8%). There are six methods assignments due throughout the semester. Two of these involve computer applications of things you’ll need to do for your thesis. I will have some office hours in the lab to help you with these assignments. The other four assignments ask you to analyze an article of your choice (related to your thesis or paper in this class) and will reinforce concepts discussed in class.

 

Proposal Assignments (8%). In addition to the weekly thought papers, you will turn in several assignments directly related to your research proposal (i.e., topic, articles, outlines, rough draft) and provide feedback on a peer’s draft. These assignments encourage you to not wait until the last minute on your paper. They also provide you with feedback as you go along. When you turn in your final revised paper, you need to add 2-3 paragraphs (separate document) explaining how you addressed the feedback given to you by your peer. The breakdown of these assignments and how they relate to your grade (and their due dates) are as follows:

 

Topic                                       5%       Jan. 17

References                              10%     Jan. 31

Outline                                    20%     Feb. 21

Complete proposal                  20%     Apr. 9 (You will get 20% if this is a complete, turn-in-able draft ONLY)

Comments on peer’s paper      25%     Apr. 12

Ethics appendix                      10%     Apr. 18

Reliability and validity app.    10%     Apr. 18 

 

Research proposal (30%). One of the best ways to show that you understand research design is by applying it. You will submit a complete research proposal (7-8 page introduction, complete method section, including a design section and appendices with measures, plan of analysis section, discussion of expected results/what it would mean if you didn’t find them, in APA style). You should also add appendices addressing 1) ethical considerations related to your study; and 2) reliability and validity (internal, external, and construct) in your study. You will likely be uploading the papers into Blackboard so they can be run through turnitin.com.

 

I highly recommend that you make this paper your thesis proposal. If you don’t want to do that for some reason, that’s okay, but talk to me first. There will be assignments due during the semester to provide you with feedback on this paper (e.g., outlines, rough drafts). If this is your thesis proposal, then you should be getting feedback from your thesis supervisor as you go as well. That’s fine. You want to incorporate feedback from wherever you get it (including the class, your thesis supervisor and possibly committee, me, and your peer reviewer). However—this paper should not be a paper that you have written or are writing for another class or for another (nonthesis) project with a faculty member. If there is any question about whether it might be too collaborative or too close to something you’ve already done, talk to me before you get started to see if it is acceptable. The paper should be in excellent APA style. Those that aren’t, will be returned ungraded and lose at least 1 letter grade (1 if turned in with corrected APA style—no other corrections allowed--within 24 hours, -1 more for each day after).

 

Proposal presentation (10%). You will present your proposal to the class (background, method, expected results, what they would mean, etc.). Your presentation, which should include some audio-visual effects (e.g., PowerPoint), should last no more than 12 minutes, followed by a discussion of the proposal by the class (we will play the role of thesis committee). You can (and should) integrate any helpful comments from the class into your proposal before you turn it in. You’ll be graded on presentation style as well as knowledge about the area. Go to https://docs.google.com/a/uni.edu/spreadsheets/d/1x114d88abnP3uTT5oGZ6YUAMVwOfPT254zLwNdDU5bg/edit?usp=sharing to sign up for a presentation time.  NOTE: You have to do this from your UNI google account.

 

Final exam (10%).  In the exam, you will use information you learned from throughout the semester to a) design a study and answer questions about it; and b) critique an article/study.

 

Makeup and Late Paper Policies: Class discussion grades cannot be made up. I will accept one thought paper up to 24 hours late with no penalty, and one methods assignment up to 48 hours late with no penalty. Proposals will be accepted up to three days past the due date, but one letter grade will be deducted for each day until they are turned in. Plan ahead and don’t wait until the last minute to finish (or start) the paper, in case something unexpected arises. No makeups allowed for the exam except in extreme circumstances (e.g., illness, familial death). If you’re having problems with due dates, talk to me.

 

Academic Honesty Policy: Cheating and plagiarism of any kind will not be tolerated and will result in a 0 on the assignment in question. This includes using a paper from another class to fulfill a requirement in this class as well as using quotes from materials without attribution, even in short assignments, thought papers, or tests. For more information on UNI’s academic honesty policies, see UNI’s Student Academic Ethics Policy. If you have any questions about what is acceptable, ask.

 

Disability Services: The Americans with Disabilities Act of 1990 (ADA) provides protection from illegal discrimination for qualified individuals with disabilities. Students requesting instructional accommodations due to disabilities must arrange for such accommodation through the Office of Disability Services. The ODS is located at 213 Student Services Center, and the phone number is 273-2676.

 

 

 

CLASS SCHEDULE

 

Jan. 10—Introduction to problems and solutions

T&D, Chapter 1

 

Meehl, P. E. (1990). Why summaries of research on psychological theories are often uninterpretable. Psychological Reports, 66, 195-244. doi:10.2466/PR0.66.1

 

Kerr, N. L. (1998). HARKing: Hypothesizing after the results are known. Personality and Social Psychology Review, 2, 196-217. doi:10.1207/s15327957pspr0203_4

 

Nelson, L. D., Simmons, J. & Simonsohn, U. (2018). Psychology’s renaissance. Annual Review of Psychology, 69. doi:10.1146/annurev-psych-122216-011836

 

Gray, K., & Wegner, D. M. (2013). Six guidelines for interesting research. Perspectives on Psychological Science, 8, 549-553. doi:10.1177/1745691613497967

 

Lindsay, D. S., Simons, D. J., & Lilienfeld, S. O. (2016, December). Preregistration 101. APS Observer, Retrieved from: https://www.psychologicalscience.org/observer/research-preregistration-101

 

Optional:

 

Nelson, L, Simmons, J., & Simonsohn, U. (2017, November 6). How to properly preregister a study. Data Colada, 64. Retrieved from: http://datacolada.org/64

 

Bakker, M. van Dijk, A., & Wicherts, J. M. (2012). The rules of the game called psychological science, Perspectives on Psychological Science, 7, 543-554. doi:10.1177/1745691612459060

 

 

 

Jan. 17—Ethics

 

Belmont report

 

Hertwig, R., & Ortmann, A. (2008). Deception in experiments: Revisiting the arguments in its defense. Ethics & Behavior, 18, 59-92. doi:10.1080/10508420701712990 

 

Becker-Blease, K. A., & Freyd, J. J. (2006). Research participants telling the truth about their lives: The ethics of asking and not asking about abuse. American Psychologist, 61, 218-226. doi:10.1037/0003-066X.61.3.218 

 

Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22, 1359-1366. doi:10.1177/0956797611417632

 

Nosek, B. A., Spies, J. R., & Motyl, M. (2012). Scientific utopia II: Restructuring incentives and practices to promote truth over publishability. Perspectives on Psychological Science, 7, 615-631. doi:10.1177/1745691612459058

 

Topic due for proposal. Turn in a paragraph or so describing what you plan to do for your proposal in this course.

 

 

 

Jan. 24—Sampling and power

 

T&D Chapter 2

 

Henrich, J. Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33, 61-83. doi:10.1017/S0140525X0999152X (just the article itself—you don’t have to read all the commentaries, though you might want to skim some)

 

Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155-159. doi:10.1037/0033-2909.112.1.155

 

Gelman, A., & Carlin, J. (2014). Beyond power calculations: Assessing Type S (Sign) and Type M (Magnitude) errors. Perspectives on Psychological Science, 9, 1-11. doi:10.1177/1745691614551642

 

Simons, D. J., Shoda, Y., & Lindsay, D. S. (2017). Constraints on generality (COG): A proposed addition to all empirical papers. Perspectives on Psychological Science. Online first. doi:10.1177/1745691617708630

 

Optional:

 

Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty. Psychological Science, 28, 1547-1562. doi:10.1177/0956797617723724

 

For when you might need them:

G*power

Pangea

Cohen’s power tables

 

New ways to approach power in papers: https://approachingblog.wordpress.com/2017/12/20/new-policies-at-jesp-for-2018-the-why-and-how/

 

Cross-cultural research presentation—When is cross-cultural research most useful? What particular things do researchers need to keep in mind? What are best practices?

 

 

 

Jan. 31—Measurement

 

T&D Chapters 3 and 5

 

Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539-569. doi:10.1146/annurev-psych-120710-100452

 

Westfall, J., & Yarkoni, T. (2016). Statistically controlling for confounding constructs in harder than you think. PLoS ONE, 11, e0152719. doi:10.1371/journal.pone.0152719

 

Schmitt, N. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8, 350-353. doi:10.1037/1040-3590.8.4.350

 

Methods assignment #1 due: Power analysis and reliability. I will be available in the lab from 3-4 on January 24 for people who want help with the assignment. 

 

Proposal references due. Find 10 articles for your research proposal for this class and submit an APA style reference section. If they are not in near-perfect APA style, they will be returned ungraded, and you will get a 0 on the assignment.  Put the tentative title of your proposal at the top of the references section.

 

 

 

Feb. 7--Surveys

 

T&D Chapter 4

 

Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549-576. doi:10.1146/annurev.psych.58.110405.085530

 

Curran, P. G. (2016). Methods for the detection of carelessly invalid responses in survey data. Journal of Experimental Social Psychology, 66, 4-19. doi: 10.1016/j.jesp2015.07.006

 

Zhang, X., Kuchinke, L., Woud, M. L., Velten, J., Margraf, J. (2017). Survey method matters: Online/offline questionnaires and face-to-face or telephone interviews differ. Computers in Human Behavior, 71, 172-180. doi:10.1016/J.CBH.2017.02.006

 

Beretta, J. (n.d.). Top ten common problems in designing effective survey questions. Satrix Solutions. Retrieved from: http://www.satrixsolutions.com/blog/top-ten-common-problems-designing-effective-survey-questions/

 

Harrison, C. (2007, November 17). Tip sheet on question wording. Harvard University Program on Survey Research. Retrieved from: https://psr.iq.harvard.edu/files/psr/files/PSRQuestionnaireTipSheet_0.pdf

 

Pew Research Center. (n.d.) Questionnaire design. Retrieved from: http://www.pewresearch.org/methodology/u-s-survey-research/questionnaire-design/

 

Experience sampling/daily diary presentation—Include information on the variety of experience sampling methods and how they are analyzed.

 

Methods assignment #2 due: Scale development 

 

 

 

Feb. 14--Experiment

 

T&D Chapters 7 and 9

 

Bless, H., & Burger, A. M. (2016). A closer look at social psychologists’ silver bullet: Inevitable and evitable side effects of the experimental approach. Perspectives on Psychological Science, 11, 296-308. doi:10.1177/1745691615621278

 

Mitchell, G. (2012). Revisiting truth or triviality: The external validity of research in the psychological laboratory. Perspectives on Psychological Science, 7, 109-117. doi:10.1177/1745691611432343

 

Zhou, H., & Fishbach, A. (2016). The pitfall of experimenting on the web: How unattended selective attrition leads to surprising (yet false) research conclusions. Journal of Personality and Social Psychology, 111, 493-504. doi:10.1037/pspa0000056

 

Judd, C. M, Yzerbyt, V. Y., & Muller, D. (2014). Mediation and moderation. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (2nd ed., pp. 653-676). New York: Cambridge University Press. doi:10.1017/cbo9780511996481.030

 

Optional:

 

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182. doi:10.1037/0022-3514.51.6.1173

 

Placebo presentation—What are placebo effects and what causes them? What are best practices in placebo research?

 

 

 

Feb. 21—Quasi and field experiments

 

T&D Chapters 10 and 11

 

Shadish, W. R., & Cook, T. D. (2009). The Renaissance of field experimentation in evaluating interventions. Annual Review of Psychology, 60, 607-629. doi:10.1146/annurev.psych.60.110707.163544

 

Goodvin, R., & Lee, S. C. (2017). Promises and pitfalls of evidence-based policymaking: Observations from a nonpartisan legislative policy research institute. Psychology, Public Policy, and Law, 23, 490-502. doi:10.1037/law0000145

 

Parigil, P. Santana, J. J., & Cook, K. S. (2017). Online field experiments: Studying social interactions in context. Social Psychology Quarterly, 80, 1-19. doi:10.1177/0190272516680842 

 

Small n designs presentation –What types of small n designs are often used in psychology? What are their advantages and disadvantages?  

 

Proposal outline due. Turn in a complete and detailed outline of your entire proposal (introduction, method, results, and discussion). Include your tentative title at the top, and use good outline form. Outlines will be graded on organization, completeness, and use of good outlining techniques (e.g., at least 2 headings at each level, headings in similar format). This outline should facilitate your writing of your proposal.

 

 

 

Feb. 28—The “new” statistics

 

T&D Chapters 12 and 14

 

Lakens, D. (2017, December 5). Understanding common misconceptions about p-values. The 20% statistician. Retrieved from: http://daniellakens.blogspot.com/2017/12/understanding-common-misconceptions.html

 

Cumming, G. (2014). The new statistics: Why and how. Psychological Science, 25, 7-29. doi:10.1177/0956797613504966

 

Morey, R. D., Hoekstra, R., Rouder, J. N., Lee, M. D., & Wagenmakers, E. J. (2016). The fallacy of placing confidence in confidence intervals. Psychonomic Bulletin and Review, 23, 103-123. doi:10.3758/s13423-015-0947-8

 

Sakaluk, J. K, (2016). Exploring small, confirming big: An alternative system to the new statistics for advancing cumulative and replicable psychological research. Journal of Experimental Social Psychology, 66, 47-54. doi:10.1016/j.jesp.2015.09.013

 

Benjamin, D. J., Berger, J. O., Johannesson, M., Nosek, B. A., Wagenmakers, E. J., Berk R.,…Johnson, V. E. (2017). Redefine statistical significance. Nature Human Behavior. doi:10.1038/s41562-017-0189-z

 

Presentations by E. J. Wagenmaker, D. Lakens, and S. Vazire at 2017 BITSS conference. They are discussing whether we should make .005 the “significant” p-level (see reading above). Watch the presentations from :32 to 1:09. You may also want to watch the Q & A session, which goes to 1:40.

 

Optional:

 

Dienes, Z., & McLatchie, N. (2017). Four reasons to prefer Bayesian analyses over significance testing. Psychonomic Bulletin and Review. doi:10.3758/s13423-017-1266-z

 

 

 

March 7—Replication and generalizability

 

Vedantam, S., & Penman, M. (2016, May 24). When great minds think unalike: Inside science’s “replication crisis.Hidden Brain podcast, National Public Radio. Retrieved from: https://www.npr.org/2016/05/24/477921050/when-great-minds-think-unlike-inside-sciences-replication-crisis

 

LeBel, E. P., & Peters, K. R. (2011). Fearing the future of empirical psychology: Bem’s (2011) evidence of psi as a case study of deficiencies in modal research practice. Review of General Psychology, 15, 371-379. doi:10.1037/a0025172

 

Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349, aac4716. doi:10.1126/science.aac4716

 

Patil, P., Peng, R. D., & Leek, J. T. (2016). What should researchers expect when they replicate studies? A statistical review of replicability in psychological science. Perspectives in Psychological Science, 11, 539-544. doi:10.1177/1745691616646366

 

Simonsohn, U. (2016, March 3). Evaluating replications: 40% full >< 60% empty. Data Colada, 47. Retrieved from: http://datacolada.org/47

 

Tackett, J. L., Lilienfeld, S. O., Patrick, C. J., Johnson, S. L., Krueger, R. F., Miller, J. D.,…Shrout, P. E.. (2017). It’s time to broaden the replicability conversation: Thoughts for and from clinical psychological science. Perspectives on Psychological Science, 12, 742-756. doi:10.1177/17456916176900042

 

Methods assignment #3 due: Data cleaning and basic analyses. I will be in the lab March 6 from 11:30-1 if you want help.

 

 

 

March 21--Meta-analysis and evaluation

 

T&D Chapter 16

 

Field, A. P., & Gillett, R. (2010). How to do a meta-analysis. British Journal of Mathematical and Statistical Psychology, 63, 665-694. doi:10.1348/000711010X502733

 

van Elk, M., Matzke, D., Gronau, Q. F., Guan, M., Vanderkerckhove, J., & Wagenmakers, E.-J. (2015). Meta-analyses are no substitute for registered replications: A skeptical perspective on religious priming. Frontiers in Psychology, 6, Article 1365. doi:10.3389/fpsyg.2015.01365

 

Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, Article 863. doi:10.3389/fpsyg.2013.00863

 

Simmons, J. P., & Simonsohn, U. (2017). Power posing: P-curving the evidence. Psychological Science, 28, 687-693. doi:10.1177/0956797616658563

 

Carney’s response to power pose controversy: http://faculty.haas.berkeley.edu/dana_carney/pdf_My%20position%20on%20power%20poses.pdf

 

Supplemental:

 

Fritz, C. O., Morris, P. E., & Richler, J. J. (2012). Effect size estimates: Current use, calculations, and interpretation. Journal of Experimental Psychology: General, 141, 2-18. doi:10.1037/a0024338

 

Methods assignment #4 due: Quantitative article.

 

 

 

March 28—Presentations

 

7 presentations

 

 

 

April 4--Internet research

 

Gosling, S. D., & Mason, W. (2015). Internet research in psychology. Annual Review of Psychology, 66, 877-902. doi:10.1146/annurev-psych-010814-015321

 

Necka, E. A., Cacioppo, S., Norman, G. J., & Cacioppo, J. T. (2016). Measuring the prevalence of problematic respondent behaviors among mTurk, campus, and community participants. PLoS ONE,  11, e0157732. doi:10.1371/journal.pone.0157732

 

Paolacci, G., & Chandler, J. (2014). Inside the Turk: Understanding Mechanical Turk as a participant pool. Current Directions in Psychological Science, 23, 184-188. doi:10.1177/0963721414531598

 

*Chandler, J. J., & Paolacci, G. (2017). Lie for a dime: When most prescreening responses are honest but most study participants are imposters. Social Psychological and Personality Science, 8¸ 500-508. doi:10.1177/1948550617698203. 

 

Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., & Christakis, N. (2008). Tastes, ties, and time: A new social network dataset using Facebook.com. Social Networks, 30, 330-342. doi:10.1016/j.socnet.2008.07.002

 

*article will be emailed to you. Only abstract is available online.

 

Computer simulation presentation—How can computer simulations add to our knowledge of psychology and human behavior? When are they best used? What advantages and disadvantages do they offer?

 

Smart phone presentation—What types of applications can smartphones be used for (e.g., GPS, activity, sounds, photographs)? What are the advantages and challenges of these apps and how can the challenges be addressed (think ethics as well)?

 

Virtual reality presentation—How has virtual reality been used in psychology? What types of virtual reality have been used? What are the advantages and disadvantages of these approaches? (Jim Blascovich is a good researcher to start with)

 

Big data mining—How can researchers use Facebook, Twitter, Google, and other sources to learn about human behavior and personality? Are there ethical considerations?

 

Methods assignment #5 due: Meta-analysis

 

 

April 11—Writing it up and scientific communication

 

T&D Chapter 15

 

Strunk, W., Jr. (1999). The elements of style. New York: Bartleby.com

 

Bem, D. J. (2002). Writing the empirical journal article. In J. M. Darley, M. P. Zanna, & H. L. Roediger III (Eds.), The compleat academic: A career guide. Washington, DC: American Psychological Association.

 

Sternberg, R. J. (1993). How to win acceptances by psychology journals: 21 tips for better writing. APA Observer.

 

Proposal due April 9 (exchange with assigned peer). Peer comments due April 12 (11:59pm). You should have a completed paper for your partner to comment on. You’ll turn in both your paper and your partner’s comments.

 

Scientific communication

 

Gelman, A. (2016, September 21). What has happened down here is the winds have changed. Statistical modeling, causal inference, and social science. Retrieved from: http://andrewgelman.com/2016/09/21/what-has-happened-down-here-is-the-winds-have-changed/

 

Fiske, S. T. (2016, November). A call to change science’s culture of shaming. APS Observer. Retrieved from: http://www.psychologicalscience.org/observer/a-call-to-change-sciences-culture-of-shaming (this is an updated version of what Gelman excerpts—taking out terms like “methodological terrorists.”)

 

Dominus, S. (2017, October 18). When the revolution came for Amy Cuddy. The New York Times Magazine. Retrieved from: https://www.nytimes.com/2017/10/18/magazine/when-the-revolution-came-for-amy-cuddy.html

 

Yong, E. (2012, March 10). A failed replication draws a scathing personal attack from a psychology professor. Discover Magazine. Retrieved from: http://blogs.discovermagazine.com/notrocketscience/2012/03/10/failed-replication-bargh-psychology-study-doyen/#.WjQovbBG271

 

There is no in-person class this week. You will exchange papers with your peer and meet with them to discuss your comments. You’ll also respond to an online discussion on scientific communications (which will include your thought paper for the week).

 

 

 

April 18—Priming, implicit measures, and physiological measures.

 

Schimmack, U., Heene, M., & Kesavan, K. (2017, February 2). Reconstruction of a train wreck: How priming research went off the rails. Replicability-Index. Retrieved from: https://replicationindex.wordpress.com/2017/02/02/reconstruction-of-a-train-wreck-how-priming-research-went-of-the-rails

 

Yong, E. (2012, October 3). Nobel laureate challenges pscyhologists to clean up their act. Nature. Retrieved from: https://www.nature.com/news/nobel-laureate-challenges-psychologists-to-clean-up-their-act-1.11535 (Also click on the link to Kahneman’s open e-mail within the article and read it)

 

Klatzky, R. L., & Creswell, J. D. (2014). An intersensory interaction account of priming effects—and their absence. Perspectives in Psychological Science, 9, 49-58. doi:10.1177/1745691613513468

 

Tiege-Mocigemba, S., Klauer, K. C., & Sherman, J. W. (2010). A practical guide to implicit association tests and related tasks. In B. Gawronski & B. K. Payne (Eds.), Handbook of implicit social cognition: Measurement, theory, and applications (pp. 117-139). New York: Guilford Press. doi: 10.13140/2.1.4889.1845

 

Bartlett, T. (2017, January 5). Can we really measure implicit bias? Maybe not. The Chronicle of Higher Education. Retrieved from http://www.chronicle.com/article/Can-We-Really-Measure-Implicit/238807/

 

*Blascovich, J. (2014). Using physiological indexes of psychological processes in social psychological research. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (2nd ed., pp. 117-137). New York: Cambridge University Press. doi:10.1017/cbo9780511996481.010

 

Baldwin, S. A., (2017). Improving the rigor of psychophysiology research. International Journal of Psychophysiology, 111, 5-16. doi:10.1016/j.ipsycho.2016.04.006

 

*I’ll email this one to you.

 

fMRI presentation—What is fMRI? What does it tell us? How can it be used in psychology? Are there things researchers using this method need to be aware of?

 

Eye tracking presentation—What is eye tracking? How can it be used in psychology?

 

Hormone sampling presentation—What hormones have typically been tracked in psychology? How are these collected? What do they tell us? What are best practices in collecting them (e.g., times of day, people for whom the results aren’t accurate)?

 

Proposal due April 17, 5pm!

 

 

 

April 25--Qualitative research

 

T&D Chapter 6, 8, and 13

 

Tracy, S. J. (2010). Qualitative quality: Eight “big tent” criteria for excellent qualitative research. Qualitative Inquiry, 16, 837-851. doi:10.1177/1077800410383121

 

Campbell, R. (2017). Qualitative fieldwork within the criminal justice system: Emotions, advocacy, and the pursuit of social justice for untested sexual assault kits (SAKs). Qualitative Psychology, 4, 315-325. doi:10.1037/qup0000063

 

Semi-structured interviews presentation—What are the advantages/disadvantages of this method? What are some best practices? How can the data be analyzed?

 

 

 

Monday, April 30 (1:00-2:50)—Final exam

 

Methods assignment #6 due: Qualitative article.