We’ve spent our whole college careers at CU, so we want to shed some light on…

what it’s like to be an undergraduate in Morningside Heights and what the intergroup relations look like among students.




Introduction


Social-psychological and sociological researchers have been pondering a long standing conceptual dispute, a discrepancy between ideological frameworks for ethno-cultural equality. This debate transcends politics, policy, and academia—should we promote ethnoracial equality by coveting the “We’re not so different after all” proverb, ignoring our differences and claiming that we don’t notice race and ethnicity? Or, do we turn the golden rule—“Treat others how you want to be treated”—on its head? Maybe the way you want to be treated isn’t the way someone with different cultural norms wants to be treated.

Historically, the straightforward nature of the color-blind approach to race—downplaying or ignoring racial differences—has been the cornerstone of striving for equal rights and reducing prejudice. The American justice system has even advertised the US constitution as color-blind in groundbreaking civil rights cases (Brown v. Board of Education, 1954). The argument is that explicit discrimination and prejudice can only emerge conditional upon the acknowledgement of racial distinctions; a precursor to outright racism is decisively exploiting race as a platform for judgement.

However, advances in neuroimaging, experimental methods, and academic exploration of implicit behaviors have alluded to insidious implications of claiming not to notice ethnoracial features during interpersonal interactions; for example, Ito and Urland (2003) showed that race is processed and encoded automatically, without conscious effort. This suggests that it’s not necessarily possible to be race-blind, even if that is your deliberate motive. The fact that we do not have a resolute answer on how not to disadvantage minority group members is shuddering, considering that ethnic minorities make up almost 40% of the US population (US Census Bureau, 2016) and are predicted to outnumber Whites by mid-century (Pew Research Center, 2015).

Recent theoretical and empirical work outlines the pitfalls of promoting a color-blind-race-blind code, for it perpetuates an appearance of avoidance through negative nonverbal cues during interactions, leading to cognitive depletion (Apfelbaum, Sommers, & Norton, 2008; Norton, Sommers, Apfelbaum, Pura, & Ariely, 2006). When the majority group (historically Whites in America) downplay ethno-racial differences, valuable cultural nuances of diverse group members are suppressed, or even lost altogether. Since previous research demonstrates that humans are homophilic (prefer others similar to themselves), there is likely also an exclusionary effect of suppressing cultural differences; this, in turn may manifest in avoidance of race-based, minority-based, or other identity oriented conversations. So, the internal model for dealing with race and ethnicity should not impair cultural proliferation or communicative exchanges of ideas. Trending research isolates a multicultural ideology as an alternative, less precarious approach (Gullett & West, 2016; Neville, Awad, Brooks, Flores, & Bluemel, 2013).

Multiculturalism refers a pluralistic ideology wherein assorted ethnoracial and cultural differences are esteemed. The multicultural, dual-identity model essentially contrasts the assimilationist color-blind perspective as an ideological representation for seeking intergroup unity and equality. Instead of downplaying ethnicity/race related differences, multiculturalism aims at welcoming and appreciating these differences as unique and valuable cultural nuances. Celebrating ethnic and cultural differences among communities promotes intergroup harmony (Markus et al., 2000; Plaut, 2002; Wolsko, Park, Judd, & Wittenbrink, 2000), whereas internalizing a colorblind ideology has been shown to backfire and do the opposite (Gullet & West, 2016). Extant research has even connected the dots between Whites’ embrace of multiculturalism and increased engagement and efficacy among minorities (Wolsko, Park, & Judd, 2006). The key consideration is that acknowledging differences in identity and culture is the means through which society innovates and cultivates wholesome socialization. Cross-cultural intermingling helps support cognitive processes like creative idea generation, insight learning, and retrieval of unconventional knowledge (Leung, Maddux, Galinsky, & Chiu, 2008).

On the other hand, if a majority group maintains the social reference point—as is the case for White Americans—then the voices of minorities whose mannerisms, preferences, or culture do not align with the majority group, may be suppressed and considered digressions from the White American norm; any divergence from the reference point may be processed as anomalous. On the other hand, by giving minority group members a voice and by promoting the inclusion of their diverse perspectives, they have more agency in a white-dominated society.

Considering all of this, the pivotal question arises: how are relationships actually affected by diversity perspectives over time, not just in the lab? Who are the people that cultivate cultural crosstalk and why? What social or structural mechanisms nest the foundations of strong intergroup relations?

Since scant research can attest to specific factors as precursors to positive interpersonal connections between ethnically and culturally diverse groups of people. This project intends to add to extant literature by linking a more multicultural perspective (as opposed to a colorblind perspective) to the formation of more heterogeneous social networks among individuals. The benefit of confirming the relationship between fostering cultural diversity and an increase in genuine increases in diversity of ties may be crucial to making societies more conscious of the need for assorted viewpoints in maintaining any type of intergroup harmony. Specifically, we not only aim to show that there is a relationship between dual-versus-single diversity ideological systems, but we intend to expose the process by which humans adopt their stance on diversity, and how such a perspective aligns with heterogeneity of social ties across development and across time (Investigation into development-related diversity attitudes will not be directly statistically tackled in this paper, but we intend to pursue it in the future).

Cultural psychology focuses intensely on academic discussions of intergroup contact and intergroup relations. In a way, a cultural psychology class might be considered an intervention. As students spend time exposed to a diversity of peers, and as they absorb the theoretical and empirical nuances of culture and group-level processes, they are being given a type of academic intervention. Learning about the science behind racial, gender, and cultural differences, and learning about minority history and rights, might be enough the fundamentally shift students’ diversity ideologies and perceptions of discrimination/prejudice within just a semester. Nonetheless, our dataset may not be the holy grail that we’d love it to be. In reality, there are only about 120 students who participated in both time points of the study. While it is feasible to say that the friendship, support, and academic network data reflect true relationships among the students, it’s important to note that the data represents closed network based on a lecture-course. Even though students had to complete a group project that required extensive time amongst one-another, it’s difficult to conceptually compare these networks to respondents’ genuine social ties in their everyday life. In a similar vein, it’s notable that a Columbia class of students interested in learning about human behavior and intergroup relations are probably not representative of the broader nation, or world. Lastly, it’s unfair to say that this study qualifies as an intervention-study. Students were exposed to a course that was intended to influence their everyday interactions with diverse others, but there was no data collected for from some sort of control group. Thus, we don’t know how, specifically, the course itself may have influenced students’ social behaviors and/or social awareness.

In the interest of satiating our curiosity about the question of “what motivates diverse friendships,” we processed the network raw nomination data into weighted edgelists and then network objects mapped onto the attributes data. Our code is provided in a separate file in the CourseWorks Assignment Page for this project. In the code, we walk you through the processes of cleaning, recoding, and calculating various measures/statistics.

We collected binary-valued social network data and individual scores for multiculturalism (MC) and colorblindness (CB) at two time points among young adults in a classroom setting. In order to evaluate the ways by which human beings may form diverse friendships, and the way these individuals mentally represent ethno-cultural diversity, we collected additional demographic and attitudinal data concerning participants’ self-reported reasons for entering peer-relationships with members of ethno-cultural outgroups. This design may have external validity outside of the academic-classroom environment for indicating the existence of the paradigm in question among a broader community than just an academic setting. In order to measure developmental antecedents to MC and CB, as well as developmental predictors for network homophily, we gathered geolocational public data for participants’ hometowns, and we used algorithmic-functions to capture high school-level demographics and school characteristics. These variables were then used to model hometown environmental influences during childhood and their potential effects on diversity ideologies in adulthood and the makeup of adults’ social networks. Since data was collected before and after taking an intensive Cultural Psychology course modeled upon a multicultural framework, we anticipated trends in the cultural identity and ideology data to arise somewhat accordingly. Since the course may have functioned as an intervention for individual misconceptions about race and ethnicity, we hypothesized that students’ multiculturalism scores would rise over time (H1), but that students’ color blindness scores would decrease over time (H2), but irrespective of scores from earlier time points, we should see an effect of diversity ideology upon ego network structure. The next hypothesis expand upon this prediction. While prior research has found that racial prejudice undermines cross-race interactions (Aboud, Mendelson, & Purdy, 2003; Dovidio, Kawakami, & Gaertner, 2002), no work to our knowledge has examined the development or the effects of diversity ideologies on real-world interracial relationships. Given the association between multiculturalism and positive intergroup outcomes, we hypothesized that multiculturalism would predict more positive relational outcomes in a racially diverse environment over time, including the development of more racially diverse social networks (H3).

Over the course of the semester, students worked in assigned groups of 3-5 students on a final class project. Students collaborated face-to-face, inside and outside of class, with the same group of students for the course of the semester. The sample population had an oversample of ethnic minority enrollment, we hypothesized that students in ethnically diverse groups would report increased multiculturalism, decreased colorblindness, increased diversity of social networks (such as decreased ego network homophily or decreased network HHI over time), comparative to smaller effect sizes in the in less diverse groups (H4). The question of where a person’s diversity ideology originates is an important, but uninvestigated phenomenon. In an effort to veer from the multicultural-minded field, we aimed to lay scaffolding for further investigation into what factors during childhood and across development may impact a person’s attitudes toward outgroup cultures.

Contact theory would suggest that mere exposure to ethnically diverse groups should have a constructive effect on multiculturalism, especially during pivotal developmental phases, particularly adolescence, since these years bridging childhood and adulthood are known to be periods of heightened egocentrism, but also periods of amplified identity-formation. We thought it important to explore factors from childhood that could predict participants’ solidification of diversity ideology orientation. We hypothesized that exposure to heightened ethnoracial diversity during students’ high school-aged years would predict augmented multicultural acceptance, while quelling promotions of colorblindness (H5).


Don’t recognize us from the usual QMSS festivities? That’s because we’re invaders! Sam’s a CC/QMSS BA/MA student, Maneeza’s a Psych PhD student who got her BA from Columbia GS, and Yeji’s a fab CC transfer from Wesleyan.





Let’s head into the roller-coaster-like road of a CU undergrad. Today, we’re interested in…




a. Where do our undergrads come from?

b. What does ethnoracial diversity mean to young-adult students and how does diversity manifest in social networks?

c. What developmental socio-ecological factors might influence long-term attitudes toward cultural diversity?



d. What groups occupy more central positions within a closed network?



e. How can students become more aware of marginalization of their peers?

f. Can exposure to outgroup members help foster tolerance and acceptance?

g. Can an introductory psychology course act as an intervention, increasing how much they discuss diversity?





Now we can dive in and investigate where Columbia students went to high school! These are their adolescent environments

We ran a study where we could take a look at this!

Our journey began with a network analysis study, including 126 students in a introductory psychology lecture course. The course was racially diverse, as shown by the race-breakdown bar on the screen. And we collected two wave of data. Participants filled out a survey at beginning of semester and the same participants filled one at the end of the semester.

Even though here we say we have 2 research questions (which are: what causes attitudes toward diversity and what do they affect) we actually had a lot more questions, which we descriptively and visually address here in this project.



So, where did Columbia students attend secondary school? Private schools? Public schools? The coasts?


It seems as though Columbia matriculators come primarily from the diverse hubs of the country. But what do these hometown socio-ecological factors mean for perceptions of racial variation in day-to-day life? Answers to come!


Interact with our map of out participants’ (Columbia students’) origins





Let us take a look at our study participants’ high schools overlayed on the school-diversity map.






Today, we want to take a look at the past, present, and predominant perceptions of CU students’ diversity attitudes at social networks.



What does the data say on the literal level? Interact and take a look!







Maneeza will now take it away!



Little old Columbia sits right above Manhattan’s Upper West Side and it’s home to some of the most studious students in the nation. After all, it’s rated by some prolific media sources as the US’s most academically stressful university.






The cultural psychology course




Participants in this study included 126 Columbia undergraduates

Students in this class learned about research on culture, diversity and intergroup relations

Students were also assigned a group project for the course, which included an ethnographic assessment of a NYC based company or organization.



surveys were collected at the start and end of the semester, examining:

colorblind and multicultural attitudes at the start and end of the semester

networks at the start and end of the semester



What did students discuss in their group project proposals for the class?








Text analysis of students’ writing: project idea proposals




Sentiment analysis by proposal













Yeji takes the forefront on describing what our sample looks like from a social network perspective



Do people actually interact with each other and form new ties throughout the course of the semester?




Friend Network



We first created students’ friend network. Basically, participants were asked to give the names of people who they consider to be their friends, and rate how close they feel to each person that they listed.



Start of the semester




End of the semester



What we see here is that our friendship network is oodles more connected at the end of the semester!




Study Network



While friendship is one major type of social relationships, it may ironically not reflect the actual ties; after all, everyone has different standards about who counts as friends. A more concrete network would be the study network (in which participants are asked to give the names of people who they study or do work for class together), because study partnership requires people to actually spend time together.




Start of the semester





End of the semester


What we see here is that our study-ship network is also oodles more connected at the end of the semester!




What groups occupy more central positions within a closed network?



Friend network at the end of the semester


  • The size of the nodes correspond to increasing in-degree
  • The color of the nodes correspond to ethnoracial minority or majority identity:
  • red is minority man
  • green is minority woman
  • blue/aqua is white man
  • purple is white women
  • white is other/multi/non-reported
  • The size of the nodes correspond to increasing in-degree
  • The size of the nodes correspond to increasing in-degree






Study network at the end of the semester



It’s difficult to make-out trends or patterns with just the network visuals, so that’s what our scatterplots with trend-lines based on our regressions is for!




What groups occupy more central positions within a closed network?



While the network visualizations provide some information, e.g. the size of the nodes indicating that women seem to be more central than men, simple ggplots that compare the means of different groups do a better job.

So let’s look at them!

Let’s first look at degree centrality - this is the total number of ties that each individual has, and is often considered as an index of direct influence.




Friend Network



Is there any difference in degree centrality by gender?






Is there any difference in degree centrality by minority status?



It seems that there are no visible gender differences, at least not statistically significantly.




Study Network



Is there any difference in degree centrality by gender?






Is there any difference in degree centrality by minority status?



It seems that there are no visible gender differences, at least not statistically significantly.




Okay, women tend to be more central in terms of degree centrality.


What if we use a different measure of network centrality? Do results change?


Betweenness centrality quantifies how often each participant sits on the shortest path between two other individuals in the network, and is often thought of as a measure of the ability to control information flow through the network.





Friend Network



Is there any difference in betweenness centrality by gender?



It seems that there are no visible gender differences, at least not statistically significantly.




Is there any difference in betweenness centrality by minority status?



It seems that there are no visible gender differences, at least not statistically significantly.




Study Network



Is there any difference in betweenness centrality by gender?



There’s a difference! Men seem to have lower betweenness scores over time.




Is there any difference in betweenness centrality by minority status?



It seems that there are no visible gender differences, at least not statistically significantly.




Does this have to do with demographic composition of the class?







Now we know who is more central in the network!



But we want to delve deeper into the network composition. Who are people friends with?










Let’s gear back to diversity ideologies: colorblindness & multiculturalism. Sam will take us through the basics again…


disclaimer: Sam made a powerpoint presentation relating to the causes and effects of diversity ideologies based on her analyses and visuals made for the data visualization presentation, so slides from that powerpoint are included accordingly as images here!






The social-psychological literature has coined two dominant types of attitudes toward diversity: colorblindness and multiculturalism. Colorblindness refers to an attitude wherein a person believes that racial differences should be ignored because people of all ethnic and racial groups are ultimately the same as one another. Multiculturalism, on the other hand, recognizes ethnic and racial differences in an effort to appreciate the unique perspectives and cultures that come with different ethnic or racial groups. These measures are not necessarily on a continuum– you can actually have a mix of the two.


To illustrate how these attitudes manifest in the real world, think about the ideals of the late Supreme Court Justice Scalia. In the interest of ethnic and racial equality in America, he espoused that we are all “from one race – the human race,” –that we should all embrace our common identity as Americans over our disparate cultural identities. To conceptualize a multicultural attitude, think about Obama’s ideals in his 2009 inaguaral address. He said, “…our patchwork heritage is a strength, not a weakness. We are shaped by every language and culture.” He highlights cultural and racial diversity Instead of quelling it.



But why are these attitudes important to study? Well… Researchers have documented many real world consequences of attitudes toward diversity. And both attitudes have their pros and cons… For example, COMPARED TO MULTICULTURALISM, colorblind attitudes can fuel both more implicit and explicit bias, Less recognition of discrimination, And decreased trust &engagement of racial minoritis However, colorblindness has been associated with quelling outgroup homogeneity & stereotyping, while multicultural attitudes can escalate into increased outgroup homogeneity. And colorblind attitudes can be associated with more perceived self-similarity to outgroup members.



In our project we had 2 research questions relating to multiculturalism and colorblindness. The first question was about the relational consequences of attitudes toward diversity Specifically, How do attitudes toward diversity affect the racial diversity of real world relationships? Although academics have sleuthed some of the actualized consequences of these attitudes—like the experiments just introduced for you—to our knowledge there has yet to be research investigating how these attitudes actually shape relationships.


And then, we had a follow-up question, where we were interested in looping back to address the developmental antecedents of attitudes toward diversity. We know from prior research that individual differences in diversity attitudes are meaningful in understanding intergroup relations, but we don’t know what causes chronic attitudes toward diversity– or what causes some people to be dominant in one attitude over the other. Essentially there’s 2 ways this could go. Increased diversity in the adolescent environment could promote a multicultural appreciation of important ethnoracial differences; or, socio-ecological diversity could promote a colorblind perspective of cherishing similarities among neighbors, at the expense of recognizing important defining cultural differences among groups.



So the measures we used for our 1st research question are the following: The predictors were the start-of-semester reports of: multiculturalism and colorblindness and here’s a glimpse at some sample items from these subscales. We used these start-of-semester attitudes to predict the racial diversity of students’ end-of-semester networks in the class. And in the next slide, we’ll give some details on how we operationalized diversity.


As a disclaimer, we actually collected and constructed 6 different social networks for the semester-long—two time-points of friendship networks, general support networks, and study-partnership networks, but for the sake of time, we’m focusing on the study networks for this presentation… since they measured who participants truly spent time with—chosen behaviors—instead of mere perceptions. In all analyses, we also controlled for participant race, age, and start of semester network diversity.


Let’s take a descriptive look: Who is multicultural?



In our study, students of private schools are slightly less multicultural than are those of public schools, though not statistically significantly so.




Who is colorblind?



In our study, students of private schools are slightly more colorblind than are those of public schools, though not statistically significantly so.


Maybe these results have to do with the trend of private school families having more homogeneous incomes and perhaps more homogeneous lives overall, making them all seem more in-group-oriented similar.




How’d we operationalize network diversity / socio-ecological diversity from the adolescent environment?



To calculate the diversity of each students’ study network we used a measure called HHI– and then we reverse-coded it. we’d be happy to talk about the math later if anyone is interested, but for now we’ll just go straight for the point. HHI outputs a number ranging from 0, indicating total racial homogeneity, to 1, which represents the highest possible diversity, such that you have equal representation. of all available racial groups in your network)





The study-partnership networks visualized (above) were constructed in R with Igraph and ggplot. The network on the left depicts the study ties at the start of the semester and one on the right depicts the end-of-semester network. The Colors represent different racial/ethnic groups, and you can see that the network is more connected by the end of the semester, but it’s hard to decipher other patterns from this medium… so let’s take just take a look at the results…







At a school that promotes diversity, what does diversity mean to students?



How do attitudes toward diversity affect students’ real-world relationships?



Does multiculturalism predict more diverse self-select study networks over time?


Answers can be found through visuals!





Does colorblindness predict more diverse self-select study networks over time?





As for the relational (relationship-wise) consequences of attitudes toward diversity… Here we can see the that students’ multicultural attitudes at the start of the semester –on the X-axis– predict greater diversity of their study networks at the end of the course—on the Y-axis. When we look at colorblindness attitudes, we see the opposite pattern, where increased colorblindness predicts less network diversity at the close of the semester. In sum, the higher your multiculturalism score, the more racially heterogeneous is your network by the close of the semester. And the higher your score on colorblindness, the less racially heterogeneous is your social network by the end of the semester.




What this means is that overall, attitudes toward diversity predict diversity of real world social networks over time. This is the first time, to our knowledge that anyone has studied how these kinds of attitudes may shape real world relationships. And not only is this an important finding in and of itself, but it could also have downstream consequences for identifying a potential feedback loop of network diversity influencing attitudes, influencing diversity, and so on.







But what are the developmental antecedents to these attitudes?





Below is a closer look at just the greater NYC area



Moving forward, for our second research question, we wanted to explore where these attitudes toward diversity come from. We know from prior research that diversity attitudes are learned, not innate, SO We wondered whether socio-ecological factors might influence the development of multicultural and colorblind attitudes. we looked at ecological variables in participants’ adolescent environments, operationalized as where they reported attending high school, to see if neighborhood characteristics may influence the development of multicultural and colorblind attitudes. we scraped geocoded data from various APIs and R libraries designed for wrangling US Census surveys and NCES primary & secondary school data and…




With all US schools’ latitude and longitude, we managed to plot this leaflet map, which visualizes where our participants went to high school, as well as the ethnic makeup of every high school in America—public and private. Each grad cap represents the school of one of our participants. The warmer colored markers indicate a higher minority-proportion of a school’s student body, while cooler colors represent the opposite. As you can see here, we limited our analyses to participants who attended US high schools, given constraints of available data. If anyone is interested in interactively zooming into your high school to see its diversity stats, we can link us to the interactive version of our leaflet, so feel free to nudge me about it after our 12 minutes are up.




So… here’s how we did it!



For the sake of brevity, here we’ll discuss census tract predictors because this they’re essentially the neighborhood around the school. A census tract is a roughly 500-8,000-resident subdivision of a county. Our predictors included 2010 racial diversity of relevant census tracts…calculated with the aforementioned HHI formula… as well as tract minority population growth across the average decade of participants’ adolescence (2000-2010).

These two ecological variables were used to predict college multiculturalism and colorblindness attitudes.





Shall we explore what we (statistically) found?


Do we know what stimulates multicultural attitudes?






Do we know what stimulates colorblind attitudes?



Here, you can have a look at this plot in a more nuanced (and interactive) way!








So when we went to analyze our results using a residualized change approach, we found the reasonably surprising result that no statistically significant relationship exited between socio-ecological factors in adolescence and multicultural attitudes in adulthood. Whether or not participants spent their youths among members of a racially heterogeneous neighborhood, their attitudes toward multiculturalism were statistically identical. …However, we did detect that…





There was a statistically significant relationship between socio-ecological variables and colorblind attitudes toward diversity in adulthood. What is interesting, though, is that our feedback-loop idea of attitudes influencing network diversity influencing attitudes and so on… might not actually carry weight. Exposure to racially diverse neighborhoods (on the level of the census tract) during adolescence predicted higher colorblind attitudes. Further, the more growth in minority population concentration, the more colorblind were students’ attitudes toward diversity in college.







So we’re left with a puzzling outlook. We found that participants with higher rates of ethnic or racial diversity in their adolescent environments had heightened colorblind attitudes toward diversity later on; however, there were no trends on the multicultural attitude metric.


Nonetheless, our data on participants’ adulthood social ties and attitudes told us that multiculturalism predicted more diverse self-selected social networks over time, and the opposite for colorblindness.


We have two feasible ways of explaining these puzzling findings. The quite sad mechanism possibly driving the positive association between adolescent neighborhood diversity and adulthood colorblind attitudes could be that the majority group perceives proliferation of diversity as a threat. However, extant literature suggests that this dynamic is particularly salient among whites, but our results showed none of these patterns faceted by race. So perhaps there’s a less insidious process at play. Maybe living among diverse others simply highlights one’s own commonalities with outgroup members. Maybe one’s neighbors are considered more alike on some dimensions than they are different on ethnic or cultural dimensions. There’s interdisciplinary research on both phenomena, so it’s critical that we pursue answers through future research.













Discussion and Limitations

Throughout this project, we have commented on numerous unique considerations working with the dataset at hand. In the end, the exercise was very enlightening and we have a much better appreciation for the intricacies and nuances of data. The truest next, most logical steps would be to replicate this study with a much bigger population, with a much bigger n, and with a better understanding for how participants feel when rating perceptions of ideologies that attempt to promote ethnoracial equality. After this crucial step, it would be amazing to include the data sources that we discussed in our introduction: the NCES data, the PSS data, and census geolocation data to see how early factors in life could predict attitudes toward diversity.

The overall results don’t necessarily support nor negate the hypotheses we speak about. By improving the study design and by evolving our statistical models even further, the set of analyses we performed here would indicate there is a trend in the direction of our hypotheses. However, it’s very hard to make any lofty conclusions considering the limitedness of our current data.

One of the prevailing limitations of our study design itself is the paucity of a control condition, but we still produced awesome visuals that give us a better understanding of the interplay of variables. If we want to conclusively determine that the intervention effect model of the cultural psychology course rings true, then we need to include a control group. However, since the course is an academic course for graduation with open registration, there is no plausible way of randomly selecting students to be in the experimental (cultural psychology class) condition or the control (non-cultural psychology class). There are two major hazards at play here: without a control condition, we have no means of verifying whether or not the increases in multiculturalism (and the reverse for colorblindness) overtime are attributable to the cultural psychology academic—learning environment, or if these changes can be explained away by a third variable or spurious influence. One competing explanation for these changes could be the work of social-desirability bias. Participants participated in a class centered around multiculturalism. Ethnic minority students made up a large majority proportion of the course enrollment (63.1%)

Thirdly, the whole design is also subject to selectivity issues. As only those who are university students are included in the statistical models/visuals, the results of the models cannot be generalized to the whole population. In these students attend school because of a specific underlying factor that we don’t account for, the model might underestimate the effect of being a university student on the network characteristics and ideologies about diversity.

Finally, the data relationships have not been statistically tested for heteroscedasticity and outliers due to the difference between ordinal logistic regression model and the OLS model and the time constraint of the study. Sometimes in the visuals, we just threw out our outliers for more clarity. If there exists heteroscedasticity, the model will produce biased parameter estimates. If there exist outliers in the relationships, their influences should be down-weighted to produce more reliable estimates.

As for more of the limitations of the study, we’d say that given race and ethnicity are hard topics to talk about and given that a person of one race shouldn’t speak for the experience of someone of a different race, implementing questionnaires like the colorblindness and multiculturalism ones described here, can be intimidating for respondents. There is a chance that respondents don’t know how exactly they themselves feel about celebrating racial and ethnic differences versus acting like race is a non-factor in their perceptions.

As far as the statistical limitations of our study, throughout our model-making we became acutely aware of the issues that arise when a characteristic of a study-design potentially interferes with the relationships between variables. The fact that the diversity data was so skewed and the fact that so many respondents reported zero or very few ties, it’s difficult to know if a statistical model is appropriate.













References

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Thank you and happy summer!!!