You have likely heard of the classroom demonstration where the students condition the instructor or a student volunteer to do some behavior by clapping (positive reinforcement) whenever the person gets closer to the behavior. Jon Skalski, Joel Lynch, and Amy Martin (2017) from Rockford University take this demo up a notch by modifying it to help students understand not only shaping, but also positive/negative reinforcement/punishment.   Skalski (personal communication, January 19, 2017) explains: I have a student volunteer step outside the classroom. The class selects a behavior that they would like to shape in his/her absence (like standing the corner and/or scratching the head).  The volunteer returns to the room. I place a backpack loaded with textbooks on his/her shoulders. Then, I remove a couple books when the student starts doing something that approximates what the class has selected for the volunteer to do (as a form of negative reinforcement).  I add books (as a form of positive punishment) when the student is not doing what I am trying to shape. I add skittles to a cup (positive reinforcement) and also take skittles away from the cup (negative punishment) to shape approximations of the desired outcome. Thus, the demonstration involves rewarding (both positively and negatively) and punishing (both positively and negatively) at the same time, at least in shaping a single behavior, and it is quite vivid and memorable. I then help students to process and think about the demonstration in order to make distinctions about positive and negative forms of reinforcement and punishment.   During the demonstration, Skalski changes which technique he is using from moment to moment. In doing so, students can see the impact each change has on the volunteer’s behavior. After successfully training the volunteer to do the selected behavior. Skalski recaps what the students just saw. Shout out to Jon Skalski for this clever demonstration! REFERENCE Skalski, J., Lynch, J, & Martin, A. (2017, January). Teaching negative reinforcement; it’s not punishment. Poster session presented at the National Institute on the Teaching of Psychology, St. Petersburg Beach, FL. ... View more

“Hundreds of studies” have found an association between religiosity and health or well-being, observes Harvard biostatistician and epidemiologist, Tyler VanderWeele in a forthcoming chapter. But “only a very small number” have rigorously examined causality. If people who worship regularly are healthier or less depressed (which they tend to be), is that because religious engagement promotes health and well-being, or because healthy, buoyant people more often leave their homes to worship?   Cecilie_Arcurs/E+/Getty Images To discern causality, new studies are assessing people’s health, their religiosity, and other health predictors, and then following them through time—for 20 years among 74,534 women in one Nurses Health Study. When controlling for various health risk factors, those who attended services more than weekly were a third less likely to have died than were non-attenders. In another analysis, the same comparison yielded a “5-fold lower rate of suicide.”   These and other such findings lead VanderWeele to conclude that “religious participation . . . is a powerful social determinant of health.”   But why? Unpacking the religiosity variable, VanderWeele and his colleagues, in the mortality study, report that social support explained 23 percent of the religiosity effect, not smoking explained 22 percent, less depressive symptoms explained 11 percent, and optimism 9 percent. People who are active in faith communities experience more social support, smoke less, are less depressed, and  are more optimistic than are those not active in such communities. ... View more

After covering experiments or as a research methods boost when covering attractiveness, pose this hypothesis to your students: Tattoos on men influence how others perceive the men’s health and attractiveness. Ask students to design an experiment to test this hypothesis, identifying the independent variable (including experimental and control conditions) and the dependent variables. In the design of the experiment, how would students eliminate any potential confounding variables? Circulate among groups as students work through the design. As discussion dies down, ask volunteers to share their experimental designs. Now share with students the experiment conducted by Andrzej Galbarczyk and Anna Ziomkiewicz (2017) using over 2,500 Polish participants recruited through Facebook; all participants self-identified as heterosexual. Researchers used nine non-tattooed male models, photographed from the waist up and without shirts for the control condition. “A professional photographer digitally modified the pictures by adding a black arm tattoo with an abstract, neutral design” for the experimental condition. This means that the only difference in the conditions was the tattoo. Participants were randomly assigned to see one photo for each model pair, and in the nine photos seen, each participant saw at least one tattooed model and one non-tattooed model. The dependent variables were ratings of attractiveness, health, dominance, aggression, fitness as a partner, and fitness as a father. Data were analyzed separately for male and female research participants. Before revealing the results, ask students to predict how the participants responded. Using clickers or a show of hands, ask students: Who did women rate as healthier? Tattooed men Non-tattooed men No difference [Women rated the tattooed men as healthier] Who did men rate as healthier? Tattooed men Non-tattooed men No difference [Men didn’t see a health difference between tattooed and non-tattooed men.] Who did women rate as more attractive? Tattooed men Non-tattooed men No difference [Women didn’t see a difference in attractiveness between tattooed and non-tattooed men.] Who did men rate as more attractive? Tattooed men Non-tattooed men No difference [Men rated the tattooed men as more attractive.] Who did men and women rate as more masculine, dominant, and aggressive? Tattooed men Non-tattooed men No difference [Tattooed men.] Who did women rate “as worse potential partners and parents”? Tattooed men Non-tattooed men No difference [Tattooed men.] Who did men rate “as worse potential partners and parents”? Tattooed men Non-tattooed men No difference [No difference.] Ask students to volunteer guesses as to why women would see tattooed men as healthier than non-tattooed men. And why men would see tattooed men as more attractive than non-tattooed men. The article’s authors offer a number of possible explanations, all worthy of further research.    REFERENCE Galbarczyk, A., & Ziomkiewicz, A. (2017). Tattooed men: Healthy bad boys and good-looking competitors. Personality and Individual Differences, 106, 122-125. doi:10.1016/j.paid.2016.10.051 ... View more

It can be an eye-opener for a parent when their child starts to mimic their behavior in the form of pretend play. Even more so when what is being portrayed is pre-divorce arguments and the stand-ins are Mary, Joseph, and Jesus. After covering observational learning (learning) or pretend play (development), share with students this example courtesy of Carol Weis and the New York Times (2016). Weis and her soon-to-be ex-husband had had a number of arguments leading up to their decision to divorce. It was near Christmas, and the house decorations included a nativity set. The parents explained to their then-5-year-old daughter that they were separating. Following her father’s moving out, the child began to play with the nativity set. “Through her thoughtful manipulation, Mary and Joseph carried on arguments with each other, similar to the ones she’d witnessed between her dad and [her mom].” In the category of observational learning, I had a student years ago who said one day when she was picking up her 3-year-old son from preschool, the staff asked to speak with her for a minute. That day at recess, her son was near the top of the slide waiting for another child to slide down. He got impatient and yelled, “Too slow b****! Get the **** out of my way!” My student, somewhat sheepishly, said to the class, “I have a problem with road rage.” If you discuss the nativity example during observational learning, give students an opportunity to share their favorite examples of observational learning. They could be their own experiences or what they witnessed in younger siblings or their own children. If you discuss the nativity example during development, give students an opportunity to share their favorite examples of pretend play. Again, they could be their own experiences or what they witnessed in younger siblings or their own children.   In either case, consider using think-pair-share. Give students a minute or two to consider their examples, then a couple minutes to share with a neighbor, then ask for a few volunteers to share their examples.   REFERENCE Weis, C. (2016, December 23). Working through divorce with Mary and Joseph. Retrieved December 27, 2016, from http://www.nytimes.com/2016/12/23/well/family/working-through-divorce-with-mary-and-joseph.html ... View more

After introducing correlations, I share a number of examples with students. Here are couple new ones that going into my pool. Young adults (age 19-32) who spend their time on a lot (7 to 11) of different social media platforms are more likely (than those who spend their time on 0 to 2 different social media platforms) to report symptoms of depression. That same relationship exists between the number of different social media platforms and anxiety (Primack, et.al., 2017). Ask students if these represent a positive, negative, or zero correlation (clicker question, show of hands, shout out). (Both correlations are positive.) If students say negative, they may be caught in the trap of thinking that this is a “bad thing,” so it’s negative. Remind students that that is not what positive and negative mean in this context. It can help students in identifying correlations to first note what the two variables are (“number of social media platforms used” and “depression”; “number of social media platforms used” and “anxiety”) and then sort out whether those variables are moving in the same direction (positive) or opposite directions (negative). Next, to help students see that correlations don’t mean causation, ask students to consider the causes, why anxiety and depression may be related to the number of social media platforms used. In think-pair-share, give students a couple minutes to jot down their thoughts, then give students a couple minutes to share their ideas with one or two classroom neighbors, then ask for volunteers to share their thoughts. Students may surmise that jumping from one social media platform to another may cause depression or anxiety. The authors note three possibilities here: “participation in many different social media platforms may lead to multitasking between platforms, which is known to be related to poor cognitive and mental health outcomes;” since each platform has its own rules and customs “as the number of platforms used increases, individuals may experience difficulty navigating these multiple different worlds successfully, leading to potentially negative mood and emotions;” and the more social media platforms you are on you run an “increased risk of damaging gaffes.” Students may also surmise that those who are depressed or anxious may choose to jump from one social media platform to another. The authors suggest “[t]his may be because these individuals tend to search multiple avenues for a setting that feels most comfortable and in which they feel most accepted.”  A third possibility is that something else, a third variable, could be affecting both social media use and depression/anxiety, perhaps loneliness. Those who are more isolated may be more likely to seek out community in social media and being more isolated may contribute to depression/anxiety. Remind students that the value in correlations comes from revealing a relationship between two variables. Students identified a number of possible reasons as to why there is a relationship between those variables. The next step is to do more research on which of those possibilities are right -- and it may be one, some, or all of them.  Side note. Even though their research is clearly correlational, the article's authors are comfortable suggesting that it’s the social media use that’s causing or at least contributing to depression/anxiety. They write “it may not be too soon to suggest that individuals with depressive and/or anxiety symptoms, and who use a high number of different social media platforms may wish to decrease the number of platforms used.” Ask students if this is a fair statement for the authors to make.    Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among U.S. young adults. Computers in Human Behavior, 69, 1-9. doi:10.1016/j.chb.2016.11.013 ... View more

Today’s America is more polarized than in any recent decade. A record 77 percent perceive the nation as divided, reports Gallup. For the first time in Pew survey history, most Republicans and Democrats report having “very unfavorable” views of the other party. A powerful principle helps explain today’s deep divisions: The beliefs and attitudes we bring to a group grow stronger as we discuss them with like-minded others. This process, known to social psychologists as group polarization, can work for good. Peacemakers, cancer patients, and disability advocates gain strength from kindred spirits. In one of my own studies, low-prejudice students became even more accepting while discussing racial issues. But group polarization can also be toxic, as we observed when high-prejudice students became more prejudiced after discussion with one another. The repeated finding from experiments on group interaction: Opinion-diversity moderates views; like minds polarize further. Group polarization feeds extremism. Analyses of terrorist organizations reveal that the terrorist mentality usually emerges slowly, among people who share a grievance. As they interact in isolation (sometimes with other “brothers” and “sisters” in camps or in prisons), their views grow more extreme. Increasingly, they categorize the world as “us” against “them.” Separation + conversation = polarization. The Internet offers us a connected global world without walls, yet also provides a fertile medium for group polarization. Progressives friend progressives and share links to sites that affirm their shared views and that disparage those they despise. Conservatives connect with conservatives and likewise share conservative perspectives. As Steve Martin tweeted, “Dear Satan, thank you for having my Internet news feeds tailored especially for ME!” So, we feed one another information—and misinformation—and then share content we agree with. News, and fake news, spreads. Within the Internet’s echo chamber of the like-minded, viewpoints become more extreme. Suspicion becomes conviction. Disagreements with the other tribe escalate to demonization. The first step toward depolarization is to realize the seductive power of group polarization, and even our own part in it. We need to step outside our comfort zone to hear and understand the other. ... View more

A couple weeks ago we were walking our dogs past our neighbor’s house when we noticed that there was a smashed car parked out front. We asked our neighbor what happened. “My son fell asleep. He’s okay, and fortunately it was a single-car crash.” For years I didn’t cover sleep in Intro Psych. And then a colleague’s teenage son fell asleep while driving, crossed the center line, and hit a semi head-on. He was killed instantly. The next time I taught Intro Psych, I covered sleep. And I have ever since. The AAA Foundation for Traffic Safety has released their latest report, Acute Sleep Deprivation and Risk of Motor Vehicle Crash Involvement (2016). Here are some clicker questions to get your students thinking about the scope of the problem driving while drowsy before launching into your coverage of sleep. (Answers are at the bottom.) What percentage “of U.S. adults usually sleep for less than 7 hours daily”? Less than 10% 10% to 20% 21% to 30 % 30% to 40% “[D]rivers who reported having slept for less than 4 hours in the past 24 hours had an estimated ________ times the odds of having contributed to the crash in which they were involved, compared with drivers who reported having slept for 7 or more hours in the past 24 hours.” 11.5 4.3 1.9 1.3 What are the odds that someone with a blood alcohol concentration (BAC) level of 0.08 (legal limit in all U.S. states) will be in a crash as compared to someone with a BAC of 0.0? 6 to 7.8 3 to 6.5 0 to 5.2 7 to 3.9 The authors of this report acknowledge a number of limitations. “Possibly the most significant limitation of the study was that crashes that occurred between midnight and 6 AM” were not included in the dataset used in this study. Ask students to consider what impact including that data could have on the results. Interestingly, “drivers involved crashes in the first and last hours of data collection each day (i.e., 6:00 – 6:59 AM and 11:00 – 11:59 PM) reported having slept for an average of one full hour less in the past 24 hours than did drivers involved in crashes during the remainder of the day.” For more research and recent statistics, check out the Governors Highway Safety Administration report, Wake Up Call! Understanding Drowsy Driving and What States Can Do (2016). ANSWERS D. 35% (That is “including 12% who report usually sleeping for 5 hours or less.”) A. 11.5. Drivers that slept between 4 and 5 hours were 4.3 times as likely to crash. Drivers that slept between 5 and 6 hours were 1.9 times as likely to crash. And drivers that slept between 6 and 7 hours were 1.3 times as likely to crash. D. 2.7 to 3.9. That’s approximately equivalent to sleeping between 4 and 5 hours. In other words, driving on less than 5 hours of sleep is about the same as driving with a BAC of 0.08. ... View more

The cover story for the (freely available) December 2016 APA Monitor is on racial bias and police work. The author of the article provides a nice summary of the research to date and how police departments are moving forward to reduce inequalities in their work. In preparation for class discussion (small groups in class or online discussion boards) or as a stand-alone assignment, ask students to read the article and respond to the following questions: Before we can address a problem, we need to know that a problem exists. What evidence is there that police officers show bias against blacks? Explain the difference between explicit prejudice and implicit bias. What is the “the police officer’s dilemma,” and how is it used to test for implicit bias? How do police officers do on this test as compared to civilians? Many police departments have brought in experts to run implicit bias workshops. Are these workshops effective at reducing implicit bias? What alternatives have been proposed for reducing the effects of implicit bias rather than implicit bias itself? Bonus question: What is your local police department doing to reduce the inequalities in how officers treat different members of your community? What can you do, as a citizen of your community, to encourage your police department to make changes that will move police work to be good for everyone in your community? ... View more

A political science grad student, Kevin Munger (2016a, b), decided to conduct an experiment on Twitter. His goal was to reduce the amount of hate speech posted to that media platform. To that end, he searched Twitter for a particular racial slur and sent every writer of such a tweet the same message: “@[subject] Hey man, just remember that there are real people who are hurt when you harass them with that kind of language.” But that’s not all. Munger reasoned that the impact of the message on future use of racial slurs likely depends on the communicator of that message, such as the perceived race and status of the person who is sending the reminder of the impact of language. Munger created four Twitter accounts: “High Follower/White; Low Follower/White; High Follower/Black; and Low Follower/Black.” The high followers had over 500 followers whereas the low followers had two followers. The White accounts displayed a White avatar and had a more stereotypically White-sounding name, Greg. The Black accounts displayed a Black avatar and had a more stereotypically Black-sounding name, Rasheed. Following Munger’s be-nice tweet, Munger tracked daily use of the racial slur over the next two months. The results. When Munger’s twitter account was High Follower/White, the number of racial slurs dropped .3 per day, the highest of any group. High status ingroup members do have power to influence. With about an equal, but smaller, decrease in daily use of racial slurs where the High Follower/Black and Low Follower/White avatars, although these differences disappeared within a few weeks (Munger, 2016b). Ingroup membership and high status both have an immediate, but not lasting impact, all on their own. What about Low Follower/Black? No Impact. In Intro Psych, you can give your students a little practice with experimental design by using this article at the beginning of the course when you cover research methods or as a research methods refresher later in the course when you cover social psychology. Ask students to identify the independent variables and dependent variable. The response to Munger’s missive wasn’t uniform; reponses differered by the anonymity of the Twitter user who received Munger’s message. Munger looked at the profiles of the Twitter users in his experiment. Of those users who were not anonymous, Munger reports that the High Follower/White Twitter account had no impact on the ensuing use of racial slurs. But the Low Follower/Black Twitter account “actually caused an increase (emphasis in original) in the use of racist slurs.” These were largely directed at Munger’s Twitter account that sent the be-nice message. Shout out to Danae Hudson (Missouri State University) for finding this article and suggesting this activity!   References Munger, K. (2016a, November 17). This researcher programmed bots to fight racism on Twitter. It worked. Retrieved from https://www.washingtonpost.com/news/monkey-cage/wp/2016/11/17/this-researcher-programmed-bots-to-fight-racism-on-twitter-it-worked Munger, K. (2016b). Tweetment effects on the tweeted: Experimentally reducing racist harassment. Political Behavior. doi:10.1007/s11109-016-9373-5 ... View more

Sure, you can explain what a prototype is, but what if students could experience generating a prototype and seeing how it compares with others? Maria Vita (Penn Manor High School, Millersville, PA) suggests using Google’s Artificial Intelligence (AI) experiment “Quick, Draw!” to do just that. After explaining prototypes, send students to the Google “Quick, Draw!” website on any web-enabled device, although a device with a touchscreen, such as a smartphone, is better. Students click the “Let’s Draw!” button to start. Students will be given 20 seconds to draw an object or a concept, such as boomerang. Google uses machine learning to try to guess what the object is. Once Google has correctly guessed or 20 seconds is up, whichever comes first, Google presents another concept or object to draw. After six trials, Google shows all six drawings along with the results. Tap on a drawing to see what other people have drawn for that concept or object as well as see drawings created for other objects that look like that one. Once students have had a chance to do a set of drawings, ask students to explain what this activity had to do with prototypes. (After being given an object or concept, whatever popped into their minds was likely their prototype for that concept.) Vita (2016) suggests instructors “[c]hallenge students to get 6 drawings guessed and/or when the program is unable to guess a drawing explain why it did not fit the prototype.” What’s in it for Google? This department within Google is exploring machine learning. Being given hundreds of drawings of, say, flamingos, helps Google identify any future drawings of flamingos as flamingos.   References Vita, M. [AP Psychology Teachers]. (2016, November 18). Challenge students to get 6 drawings guessed and/or when the program is unable to guess a drawing explain why it did not fit the prototype. [Facebook group post]. Retrieved from https://www.facebook.com/groups/556665311050841/ ... View more

Authors of Discovering the Scientist Within: Research Methods in Psychology, Gary Lewandowski, Natalie Ciarocco and David Strohmetz are all active researchers and committed teachers at Monmouth University. They’re excited to engage in a conversation about the Research Methods course, why it is so important, and talk about how they solve challenges in their own classrooms. Check out their Facebook live video from 11/4! Please feel free to leave any questions below or directly on the Facebook video and the authors will respond! ... View more

“A cat comes running at the sound of the can opener, that’s classical conditioning, right?” No, no it is not. “Remember,” you say to the student who asks this question, “classical conditioning is involuntary. Since running is a voluntary behavior, it’s operant conditioning.” (The sound of the can opener is a discriminative stimulus that cues the cat. “If I run in there right now, my voluntary running behavior will be reinforced with cat food!”) After explaining to his students that classical conditioning results in an involuntary response and operant conditioning needs a voluntary behavior, but before getting into the specifics of each, Bart Thompson (Salem Hills High School in Salem, Utah) gives his students practice at sorting involuntary responses from voluntary behaviors. Thompson divides his class into small group. Each group gets 40 slips of paper; each slip of paper includes an example of classical or operant conditioning. Students are tasked with sorting the examples into two stacks: involuntary response and voluntary behavior. There are two things that I really like about this approach (which I’m using next term!). First, it gets students thinking in terms of involuntary responses and voluntary behaviors immediately. This seems to be such a sticking point for some students later, that (literally!) sorting this out early should help that. Second, it’s a wonderful application of interleaving. If we want students to know the difference between classical and operant conditioning – and we do – students need practice seeing both kinds of learning and identifying which is which. If you don’t have 40 examples of classical and operant conditioning, you can scour the internet. Be careful though. There were some examples I found that the author said were classical conditioning but were actually operant conditioning. Alternatively, ask your students this term to submit, say, three examples of each. You could ask students to label the classical conditioning components and identify whether the operant conditioning examples are positive/negative reinforcement/punishment (and explain their choices). This could be an extra credit assignment or an optional for-points assignment. Once groups have their 40 slips of paper sorted, ask groups to pair up and compare their sorts. Were there any that they had sorted differently? Can they resolve their differences? Circulate among the groups. For any that groups appear to be stuck on, make a note to discuss as a class. As you move your coverage into the specifics of classical and operant conditioning, you can come back to these 40 examples. ... View more

Open your discussion of sensation and perception by showing students this image. Note the white on the clear bulb where the light is reflecting. Our eyes detect white, but our brains know that those white spots aren’t really white. Based on past experience, our brain perceives the white as merely reflections of light. Image source: https://www.pexels.com/photo/clear-glass-light-bulb-75427 Next, show students this photo. Image source: http://cheezburger.com/8985651968/shiny-legs-optical-illusion-paint-whats-making-these-legs-look-so-shiny     It’s not quite The Dress, but this is still pretty cool. Like many people, what you see are shiny legs. Do they look like they are covered in a hard, clear plastic? But what if I told you that there is no plastic. It’s just strategically placed white paint? If you saw shiny legs, you were perceiving the white as reflected light, as you rightly did with the light bulb. Once you’re told the white is paint, the shininess disappears, and you are just left with, well, white paint. ... View more

Originally posted on October 28, 2016.  It's a hard scene to imagine: immigrant-despising Donald Trump supporters greeting women’s rights-supporting Hillary Clinton supporters with high fives. But it’s happening, virtually over Facebook and in Chicago, as folks from opposite political poles discover their common ground—rooting for their beloved Cubs. As social psychologist Jon Mueller—producer of great social psychology teaching resources—explains in this sports essay, shared threats and superordinate goals can turn enemies into friends. The shelf life for their new ingroup identity as mutual Cubs fans may be short. But for this weekend, at least, the closed fists of political animosities have become the open arms of a shared identity. Go Cubs go! ... View more

Originally posted on October 18, 2016.  For both graduate students and instructors alike, there are many reasons to teach a research methods course. From demand for professors to the ability to harbor student skills, these pragmatic approaches to teaching an engaging course are beneficial for students and instructors. Read more about my approach to teaching research methods on TeachPsych: http://teachpsych.org/page-1784686/4311450 ... View more